diff --git a/manifest b/manifest
index 1626534faa..7bec7c33f2 100644
--- a/manifest
+++ b/manifest
@@ -1,5 +1,5 @@
-C Merge\slatest\strunk\schanges\sinto\sthis\sbranch.
-D 2018-06-04T08:28:18.148
+C Add\simplementation\sof\swindow\sfunction\sntile().
+D 2018-06-04T18:55:11.391
 F .fossil-settings/empty-dirs dbb81e8fc0401ac46a1491ab34a7f2c7c0452f2f06b54ebb845d024ca8283ef1
 F .fossil-settings/ignore-glob 35175cdfcf539b2318cb04a9901442804be81cd677d8b889fcc9149c21f239ea
 F Makefile.in bfc40f350586923e0419d2ea4b559c37ec10ee4b6e210e08c14401f8e340f0da
@@ -583,7 +583,7 @@ F src/where.c 60ec752fcbe9f9e0271ac60548d159a540a1ee47a4f9fedc85e88a3d0e392dd1
 F src/whereInt.h cbae2bcd37cfebdb7812a8b188cdb19634ced2b9346470d1c270556b0c33ea53
 F src/wherecode.c 728c7f70731430ccdac807a79969873e1af6968bf1c4745dff3f9dd35f636cc8
 F src/whereexpr.c e90b2e76dcabc81edff56633bf281bc01d93b71e0c81482dc06925ce39f5844a
-F src/window.c 0a6bc6bd759c0a2a2dc033f02837d8bf9d0851cb03b98a59f86b09e0c1443b85
+F src/window.c ea479ab9cf46412c1b06f5ff1b12919dea4adb3ca03efebce961449272a9a98e
 F test/8_3_names.test ebbb5cd36741350040fd28b432ceadf495be25b2
 F test/affinity2.test a6d901b436328bd67a79b41bb0ac2663918fe3bd
 F test/affinity3.test 6a101af2fc945ce2912f6fe54dd646018551710d
@@ -1616,11 +1616,13 @@ F test/win32heap.test 10fd891266bd00af68671e702317726375e5407561d859be1aa04696f2
 F test/win32lock.test fbf107c91d8f5512be5a5b87c4c42ab9fdd54972
 F test/win32longpath.test 169c75a3b2e43481f4a62122510210c67b08f26d
 F test/win32nolock.test ac4f08811a562e45a5755e661f45ca85892bdbbc
-F test/window1.test 5705337783d220b47f6fb4432264543b7557a05be8013d772f57d71f2fded271
+F test/window1.test 905fe0842eacfd61e2f30ef7b0a84a7325ffa5cbbcd717ca30f25a142c3bca90
 F test/window2.tcl 0983de5eade5eeda49469244799d5331bfe3199fca3f6c6d2a836aa08f4fba1b
 F test/window2.test 79747b2edde4ad424e0752b27529aedc86e91f3d8d88846fa17ff0cb67f65086
-F test/window3.tcl 1c8da1cfaa1297bbd1bb888ad8616c743e2e8b821d2ba148f949ff019fc258df
-F test/window3.test 25340bf9b61a35396f6e2e0913faea549b3172c0190279fec8a39779a234a741
+F test/window3.tcl 3efd83d35d59ab160b6d9ac72265f4b88222e6809214e7dd2ad19cdc33931521
+F test/window3.test 26697e923633bed6e5ee2c41d47f0fc75b177276cab7537eac7e4d7fb320a142
+F test/window4.tcl 3f81bec5bc42fcde751a92bb73ded3887c4448f024de40aff9dc2be798c1dd75
+F test/window4.test 41754c453131017f6bea755e9aef47076090920af2eb837a33e01362717e88f9
 F test/with1.test 58475190cd8caaeebea8cfeb2a264ec97a0c492b8ffe9ad20cefbb23df462f96
 F test/with2.test e0030e2f0267a910d6c0e4f46f2dfe941c1cc0d4f659ba69b3597728e7e8f1ab
 F test/with3.test 5e8ce2c585170bbbc0544e2a01a4941fa0be173ba5265e5c92eb588cd99a232d
@@ -1737,7 +1739,7 @@ F vsixtest/vsixtest.tcl 6a9a6ab600c25a91a7acc6293828957a386a8a93
 F vsixtest/vsixtest.vcxproj.data 2ed517e100c66dc455b492e1a33350c1b20fbcdc
 F vsixtest/vsixtest.vcxproj.filters 37e51ffedcdb064aad6ff33b6148725226cd608e
 F vsixtest/vsixtest_TemporaryKey.pfx e5b1b036facdb453873e7084e1cae9102ccc67a0
-P 76543f7dd3a2310f6e81a1bae17db9bb5d2cf10c1b87ed3f8394b3e75576078b 1ecb3aa13de5c8dc611b814ff34010de0bd90aae73d88aa37a59c4627be4cc2d
-R c606c1190461bb6eccc9b4b19cdd62a3
+P 83d6416a868fac81a78c9507185a48d00920e4322276245e285946f760915f4a
+R 62a7ad8fbe69dabdaa9c102d3a72c7ce
 U dan
-Z d3ed94ca8b2037743bfe63812e5ba0a9
+Z f381d1ea1280fb47e67f4a0de2124ac3
diff --git a/manifest.uuid b/manifest.uuid
index 03836636d7..142ac6eff1 100644
--- a/manifest.uuid
+++ b/manifest.uuid
@@ -1 +1 @@
-83d6416a868fac81a78c9507185a48d00920e4322276245e285946f760915f4a
\ No newline at end of file
+3f093f608c6cc193aac77e7eafa8006c27a7776682d9d7b6e743710dff41ae42
\ No newline at end of file
diff --git a/src/window.c b/src/window.c
index f45d9dadf0..bfb4ca119e 100644
--- a/src/window.c
+++ b/src/window.c
@@ -180,6 +180,69 @@ static void cume_distValueFunc(sqlite3_context *pCtx){
   }
 }
 
+struct NtileCtx {
+  i64 nTotal;                     /* Total rows in partition */
+  i64 nParam;                     /* Parameter passed to ntile(N) */
+  i64 iRow;                       /* Current row */
+};
+
+/*
+** Implementation of ntile(). This assumes that the window frame has
+** been coerced to:
+**
+**   ROWS UNBOUNDED PRECEDING AND CURRENT ROW
+**
+*/
+static void ntileStepFunc(
+  sqlite3_context *pCtx, 
+  int nArg,
+  sqlite3_value **apArg
+){
+  struct NtileCtx *p;
+  assert( nArg==2 );
+  p = (struct NtileCtx*)sqlite3_aggregate_context(pCtx, sizeof(*p));
+  if( p ){
+    if( p->nTotal==0 ){
+      p->nParam = sqlite3_value_int64(apArg[0]);
+      p->nTotal = sqlite3_value_int64(apArg[1]);
+      if( p->nParam<=0 ){
+        sqlite3_result_error(
+            pCtx, "argument of ntile must be a positive integer", -1
+        );
+      }
+    }
+    p->iRow++;
+  }
+}
+static void ntileInverseFunc(
+  sqlite3_context *pCtx, 
+  int nArg,
+  sqlite3_value **apArg
+){
+}
+static void ntileValueFunc(sqlite3_context *pCtx){
+  struct NtileCtx *p;
+  p = (struct NtileCtx*)sqlite3_aggregate_context(pCtx, sizeof(*p));
+  if( p && p->nParam>0 ){
+    int nSize = (p->nTotal / p->nParam);
+    if( nSize==0 ){
+      sqlite3_result_int64(pCtx, p->iRow);
+    }else{
+      i64 nLarge = p->nTotal - p->nParam*nSize;
+      i64 iSmall = nLarge*(nSize+1);
+      i64 iRow = p->iRow-1;
+
+      assert( (nLarge*(nSize+1) + (p->nParam-nLarge)*nSize)==p->nTotal );
+
+      if( iRow<iSmall ){
+        sqlite3_result_int64(pCtx, 1 + iRow/(nSize+1));
+      }else{
+        sqlite3_result_int64(pCtx, 1 + nLarge + (iRow-iSmall)/nSize);
+      }
+    }
+  }
+}
+
 static void nth_valueStepFunc(
   sqlite3_context *pCtx, 
   int nArg,
@@ -211,6 +274,7 @@ void sqlite3WindowFunctions(void){
     WINDOWFUNC(rank, 0, 0),
     WINDOWFUNC(percent_rank, 0, SQLITE_FUNC_WINDOW_SIZE),
     WINDOWFUNC(cume_dist, 0, SQLITE_FUNC_WINDOW_SIZE),
+    WINDOWFUNC(ntile, 1, SQLITE_FUNC_WINDOW_SIZE),
     WINDOWFUNC(nth_value, 2, 0),
   };
   sqlite3InsertBuiltinFuncs(aWindowFuncs, ArraySize(aWindowFuncs));
@@ -219,7 +283,7 @@ void sqlite3WindowFunctions(void){
 void sqlite3WindowUpdate(Parse *pParse, Window *pWin, FuncDef *pFunc){
   if( pFunc->funcFlags & SQLITE_FUNC_WINDOW ){
     sqlite3 *db = pParse->db;
-    if( pFunc->xSFunc==row_numberStepFunc ){
+    if( pFunc->xSFunc==row_numberStepFunc || pFunc->xSFunc==ntileStepFunc ){
       sqlite3ExprDelete(db, pWin->pStart);
       sqlite3ExprDelete(db, pWin->pEnd);
       pWin->pStart = pWin->pEnd = 0;
@@ -561,16 +625,22 @@ static void windowAggStep(
     int regArg;
     int nArg = pWin->nArg;
 
-    if( flags & SQLITE_FUNC_WINDOW_SIZE ){
-      regArg = regPartSize;
-      nArg++;
-    }else if( csr>=0 ){
+    if( csr>=0 ){
       int i;
       for(i=0; i<pWin->nArg; i++){
         sqlite3VdbeAddOp3(v, OP_Column, csr, pWin->iArgCol+i, reg+i);
       }
       regArg = reg;
+      if( flags & SQLITE_FUNC_WINDOW_SIZE ){
+        if( nArg==0 ){
+          regArg = regPartSize;
+        }else{
+          sqlite3VdbeAddOp2(v, OP_SCopy, regPartSize, reg+nArg);
+        }
+        nArg++;
+      }
     }else{
+      assert( !(flags & SQLITE_FUNC_WINDOW_SIZE) );
       regArg = reg + pWin->iArgCol;
     }
 
@@ -902,7 +972,7 @@ static void windowCodeRowExprStep(
   nArg = 0;
   for(pWin=pMWin; pWin; pWin=pWin->pNextWin){
     sqlite3VdbeAddOp2(v, OP_Null, 0, pWin->regAccum);
-    nArg = MAX(nArg, pWin->nArg);
+    nArg = MAX(nArg, pWin->nArg+1);
   }
   regArg = pParse->nMem+1;
   pParse->nMem += nArg;
diff --git a/test/window1.test b/test/window1.test
index 33664b30f0..a159fdaeba 100644
--- a/test/window1.test
+++ b/test/window1.test
@@ -181,5 +181,19 @@ do_execsql_test 4.10.2 {
   0 7 6.5.4.3.2.1.0
 }
 
+do_catchsql_test 5.1 {
+  SELECT ntile(0) OVER (ORDER BY a) FROM t2;
+} {1 {argument of ntile must be a positive integer}}
+do_catchsql_test 5.2 {
+  SELECT ntile(-1) OVER (ORDER BY a) FROM t2;
+} {1 {argument of ntile must be a positive integer}}
+do_catchsql_test 5.3 {
+  SELECT ntile('zbc') OVER (ORDER BY a) FROM t2;
+} {1 {argument of ntile must be a positive integer}}
+do_execsql_test 5.4 {
+  CREATE TABLE t4(a, b);
+  SELECT ntile(1) OVER (ORDER BY a) FROM t4;
+} {}
+
 
 finish_test
diff --git a/test/window3.tcl b/test/window3.tcl
index 8950af3642..cd6c7f12f6 100644
--- a/test/window3.tcl
+++ b/test/window3.tcl
@@ -167,8 +167,26 @@ foreach {tn window} {
     SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 $window ) FROM t2
   "
 
-}
+  execsql_float_test 1.$tn.8.1 "
+    SELECT ntile(100) OVER ( ORDER BY a $window ) FROM t2
+  "
+  execsql_float_test 1.$tn.8.2 "
+    SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a $window ) FROM t2
+  "
+  execsql_float_test 1.$tn.8.3 "
+    SELECT ntile(102) OVER ( ORDER BY b,a $window ) FROM t2
+  "
+  execsql_float_test 1.$tn.8.4 "
+    SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a $window ) FROM t2
+  "
+  execsql_float_test 1.$tn.8.5 "
+    SELECT ntile(104) OVER ( ORDER BY b%10,a $window ) FROM t2
+  "
+  execsql_float_test 1.$tn.8.6 "
+    SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 $window) FROM t2
+  "
 
+}
 
 finish_test
 
diff --git a/test/window3.test b/test/window3.test
index 28023d5532..51be914a5f 100644
--- a/test/window3.test
+++ b/test/window3.test
@@ -179,11 +179,99 @@ do_test 1.1.7.6 {
 
 do_test 1.1.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.1.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.1.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.1.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.1.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.1.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.1.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.1.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.1.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.1.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.1.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.1.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.2.2.1 {
   SELECT max(b) OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2
@@ -307,11 +395,99 @@ do_test 1.2.7.6 {
 
 do_test 1.2.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.2.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.2.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.2.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.2.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.2.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.2.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.2.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.2.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.2.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.2.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.2.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.3.2.1 {
   SELECT max(b) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2
@@ -435,11 +611,99 @@ do_test 1.3.7.6 {
 
 do_test 1.3.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.3.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.3.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.3.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.3.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.3.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.3.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.3.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.3.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.3.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.3.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.3.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND CURRENT ROW) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.4.2.1 {
   SELECT max(b) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2
@@ -563,11 +827,99 @@ do_test 1.4.7.6 {
 
 do_test 1.4.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.4.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.4.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.4.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.4.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.4.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.4.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.4.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.4.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.4.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.4.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.4.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.5.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2
@@ -691,11 +1043,99 @@ do_test 1.5.7.6 {
 
 do_test 1.5.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.5.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.5.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.5.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.5.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.5.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.5.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.5.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.5.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.5.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.5.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.5.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.6.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2
@@ -819,11 +1259,99 @@ do_test 1.6.7.6 {
 
 do_test 1.6.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.6.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.6.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.6.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.6.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.6.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.6.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.6.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.6.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.6.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.6.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.6.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.7.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2
@@ -947,11 +1475,99 @@ do_test 1.7.7.6 {
 
 do_test 1.7.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.7.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.7.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.7.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.7.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.7.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.7.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.7.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.7.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.7.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.7.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.7.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.8.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2
@@ -1075,11 +1691,99 @@ do_test 1.8.7.6 {
 
 do_test 1.8.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.8.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.8.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.8.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.8.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.8.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.8.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.8.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.8.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.8.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.8.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.8.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.9.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2
@@ -1203,11 +1907,99 @@ do_test 1.9.7.6 {
 
 do_test 1.9.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.9.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.9.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.9.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.9.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.9.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.9.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.9.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.9.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.9.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.9.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.9.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND CURRENT ROW) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.10.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2
@@ -1331,11 +2123,99 @@ do_test 1.10.7.6 {
 
 do_test 1.10.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.10.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.10.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.10.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.10.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.10.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.10.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.10.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.10.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.10.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.10.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.10.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.11.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2
@@ -1459,11 +2339,99 @@ do_test 1.11.7.6 {
 
 do_test 1.11.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.11.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.11.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.11.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.11.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.11.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.11.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.11.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.11.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.11.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.11.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.11.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.12.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2
@@ -1587,11 +2555,99 @@ do_test 1.12.7.6 {
 
 do_test 1.12.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.12.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.12.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.12.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.12.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.12.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.12.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.12.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.12.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.12.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.12.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.12.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.13.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2
@@ -1715,11 +2771,99 @@ do_test 1.13.7.6 {
 
 do_test 1.13.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.13.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.13.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.13.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.13.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.13.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.13.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.13.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.13.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.13.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.13.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.13.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.14.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2
@@ -1843,11 +2987,99 @@ do_test 1.14.7.6 {
 
 do_test 1.14.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.14.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.14.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.14.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.14.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.14.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.14.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.14.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.14.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.14.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.14.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.14.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.15.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2
@@ -1971,11 +3203,99 @@ do_test 1.15.7.6 {
 
 do_test 1.15.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.15.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.15.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.15.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.15.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.15.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.15.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.15.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.15.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.15.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.15.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.15.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.16.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2
@@ -2099,11 +3419,99 @@ do_test 1.16.7.6 {
 
 do_test 1.16.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.16.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.16.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.16.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.16.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.16.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.16.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.16.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.16.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.16.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.16.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.16.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 do_execsql_test 1.17.2.1 {
   SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2
@@ -2227,10 +3635,98 @@ do_test 1.17.7.6 {
 
 do_test 1.17.8.1 {
   set myres {}
-  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
     lappend myres [format %.2f [set r]]
   }
   set myres
-} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}
+} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}
+
+do_test 1.17.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}
+
+do_test 1.17.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}
+
+do_test 1.17.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}
+
+do_test 1.17.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.17.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
+
+do_test 1.17.8.1 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}
+
+do_test 1.17.8.2 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.17.8.3 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}
+
+do_test 1.17.8.4 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}
+
+do_test 1.17.8.5 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}
+
+do_test 1.17.8.6 {
+  set myres {}
+  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING) FROM t2}] {
+    lappend myres [format %.2f [set r]]
+  }
+  set myres
+} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}
 
 finish_test
diff --git a/test/window4.tcl b/test/window4.tcl
new file mode 100644
index 0000000000..6160236282
--- /dev/null
+++ b/test/window4.tcl
@@ -0,0 +1,30 @@
+# 2018 May 19
+#
+# The author disclaims copyright to this source code.  In place of
+# a legal notice, here is a blessing:
+#
+#    May you do good and not evil.
+#    May you find forgiveness for yourself and forgive others.
+#    May you share freely, never taking more than you give.
+#
+#***********************************************************************
+#
+
+source [file join [file dirname $argv0] pg_common.tcl]
+
+#=========================================================================
+
+start_test window4 "2018 June 04"
+
+execsql_test 1.0 {
+  DROP TABLE IF EXISTS t3;
+  CREATE TABLE t3(a TEXT PRIMARY KEY);
+  INSERT INTO t3 VALUES('a'), ('b'), ('c'), ('d'), ('e');
+  INSERT INTO t3 VALUES('f'), ('g'), ('h'), ('i'), ('j');
+}
+
+for {set i 1} {$i < 20} {incr i} {
+  execsql_test 1.$i "SELECT a, ntile($i) OVER (ORDER BY a) FROM t3"
+}
+
+finish_test
diff --git a/test/window4.test b/test/window4.test
new file mode 100644
index 0000000000..7130a485ec
--- /dev/null
+++ b/test/window4.test
@@ -0,0 +1,105 @@
+# 2018 June 04
+#
+# The author disclaims copyright to this source code.  In place of
+# a legal notice, here is a blessing:
+#
+#    May you do good and not evil.
+#    May you find forgiveness for yourself and forgive others.
+#    May you share freely, never taking more than you give.
+#
+#***********************************************************************
+# This file implements regression tests for SQLite library.
+#
+
+####################################################
+# DO NOT EDIT! THIS FILE IS AUTOMATICALLY GENERATED!
+####################################################
+
+set testdir [file dirname $argv0]
+source $testdir/tester.tcl
+set testprefix window4
+
+do_execsql_test 1.0 {
+  DROP TABLE IF EXISTS t3;
+  CREATE TABLE t3(a TEXT PRIMARY KEY);
+  INSERT INTO t3 VALUES('a'), ('b'), ('c'), ('d'), ('e');
+  INSERT INTO t3 VALUES('f'), ('g'), ('h'), ('i'), ('j');
+} {}
+
+do_execsql_test 1.1 {
+  SELECT a, ntile(1) OVER (ORDER BY a) FROM t3
+} {a 1   b 1   c 1   d 1   e 1   f 1   g 1   h 1   i 1   j 1}
+
+do_execsql_test 1.2 {
+  SELECT a, ntile(2) OVER (ORDER BY a) FROM t3
+} {a 1   b 1   c 1   d 1   e 1   f 2   g 2   h 2   i 2   j 2}
+
+do_execsql_test 1.3 {
+  SELECT a, ntile(3) OVER (ORDER BY a) FROM t3
+} {a 1   b 1   c 1   d 1   e 2   f 2   g 2   h 3   i 3   j 3}
+
+do_execsql_test 1.4 {
+  SELECT a, ntile(4) OVER (ORDER BY a) FROM t3
+} {a 1   b 1   c 1   d 2   e 2   f 2   g 3   h 3   i 4   j 4}
+
+do_execsql_test 1.5 {
+  SELECT a, ntile(5) OVER (ORDER BY a) FROM t3
+} {a 1   b 1   c 2   d 2   e 3   f 3   g 4   h 4   i 5   j 5}
+
+do_execsql_test 1.6 {
+  SELECT a, ntile(6) OVER (ORDER BY a) FROM t3
+} {a 1   b 1   c 2   d 2   e 3   f 3   g 4   h 4   i 5   j 6}
+
+do_execsql_test 1.7 {
+  SELECT a, ntile(7) OVER (ORDER BY a) FROM t3
+} {a 1   b 1   c 2   d 2   e 3   f 3   g 4   h 5   i 6   j 7}
+
+do_execsql_test 1.8 {
+  SELECT a, ntile(8) OVER (ORDER BY a) FROM t3
+} {a 1   b 1   c 2   d 2   e 3   f 4   g 5   h 6   i 7   j 8}
+
+do_execsql_test 1.9 {
+  SELECT a, ntile(9) OVER (ORDER BY a) FROM t3
+} {a 1   b 1   c 2   d 3   e 4   f 5   g 6   h 7   i 8   j 9}
+
+do_execsql_test 1.10 {
+  SELECT a, ntile(10) OVER (ORDER BY a) FROM t3
+} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}
+
+do_execsql_test 1.11 {
+  SELECT a, ntile(11) OVER (ORDER BY a) FROM t3
+} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}
+
+do_execsql_test 1.12 {
+  SELECT a, ntile(12) OVER (ORDER BY a) FROM t3
+} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}
+
+do_execsql_test 1.13 {
+  SELECT a, ntile(13) OVER (ORDER BY a) FROM t3
+} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}
+
+do_execsql_test 1.14 {
+  SELECT a, ntile(14) OVER (ORDER BY a) FROM t3
+} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}
+
+do_execsql_test 1.15 {
+  SELECT a, ntile(15) OVER (ORDER BY a) FROM t3
+} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}
+
+do_execsql_test 1.16 {
+  SELECT a, ntile(16) OVER (ORDER BY a) FROM t3
+} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}
+
+do_execsql_test 1.17 {
+  SELECT a, ntile(17) OVER (ORDER BY a) FROM t3
+} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}
+
+do_execsql_test 1.18 {
+  SELECT a, ntile(18) OVER (ORDER BY a) FROM t3
+} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}
+
+do_execsql_test 1.19 {
+  SELECT a, ntile(19) OVER (ORDER BY a) FROM t3
+} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}
+
+finish_test