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Do not try to use STAT2 to refine the row estimate of a query that

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uses a unique or nearly-unique index.

FossilOrigin-Name: efffc49baf38698ed3de05d16b4261bf405d42d7
This commit is contained in:
drh
2011-07-13 18:31:10 +00:00
parent d0cdf012a2
commit bf4ec555fa
3 changed files with 10 additions and 9 deletions
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12
manifest
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@@ -1,5 +1,5 @@
C Added\sthe\sSQLITE_FCNTL_WIN32_AV_RETRY\sfile\scontrol\sfor\sconfiguring\sthe\nretry\scounts\sand\sdelays\sin\sthe\swindows\sVFS. C Do\snot\stry\sto\suse\sSTAT2\sto\srefine\sthe\srow\sestimate\sof\sa\squery\sthat\nuses\sa\sunique\sor\snearly-unique\sindex.
D 2011-07-13T16:03:46.096 D 2011-07-13T18:31:10.999
F Makefile.arm-wince-mingw32ce-gcc d6df77f1f48d690bd73162294bbba7f59507c72f F Makefile.arm-wince-mingw32ce-gcc d6df77f1f48d690bd73162294bbba7f59507c72f
F Makefile.in c1d7a7f4fd8da6b1815032efca950e3d5125407e F Makefile.in c1d7a7f4fd8da6b1815032efca950e3d5125407e
F Makefile.linux-gcc 91d710bdc4998cb015f39edf3cb314ec4f4d7e23 F Makefile.linux-gcc 91d710bdc4998cb015f39edf3cb314ec4f4d7e23
@@ -250,7 +250,7 @@ F src/vtab.c 901791a47318c0562cd0c676a2c6ff1bc530e582
F src/wal.c 0c70ad7b1cac6005fa5e2cbefd23ee05e391c290 F src/wal.c 0c70ad7b1cac6005fa5e2cbefd23ee05e391c290
F src/wal.h 66b40bd91bc29a5be1c88ddd1f5ade8f3f48728a F src/wal.h 66b40bd91bc29a5be1c88ddd1f5ade8f3f48728a
F src/walker.c 3112bb3afe1d85dc52317cb1d752055e9a781f8f F src/walker.c 3112bb3afe1d85dc52317cb1d752055e9a781f8f
F src/where.c ce7cce80c5cb07ba40e9bf38a33ef806c61f55f2 F src/where.c 106cd9ab3eb410dfa7d0598194c277664bb2e9a3
F test/8_3_names.test b93687beebd17f6ebf812405a6833bae5d1f4199 F test/8_3_names.test b93687beebd17f6ebf812405a6833bae5d1f4199
F test/aggerror.test a867e273ef9e3d7919f03ef4f0e8c0d2767944f2 F test/aggerror.test a867e273ef9e3d7919f03ef4f0e8c0d2767944f2
F test/alias.test 4529fbc152f190268a15f9384a5651bbbabc9d87 F test/alias.test 4529fbc152f190268a15f9384a5651bbbabc9d87
@@ -952,7 +952,7 @@ F tool/symbols.sh caaf6ccc7300fd43353318b44524853e222557d5
F tool/tostr.awk 11760e1b94a5d3dcd42378f3cc18544c06cfa576 F tool/tostr.awk 11760e1b94a5d3dcd42378f3cc18544c06cfa576
F tool/vdbe-compress.tcl d70ea6d8a19e3571d7ab8c9b75cba86d1173ff0f F tool/vdbe-compress.tcl d70ea6d8a19e3571d7ab8c9b75cba86d1173ff0f
F tool/warnings.sh 2ebae31e1eb352696f3c2f7706a34c084b28c262 F tool/warnings.sh 2ebae31e1eb352696f3c2f7706a34c084b28c262
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Z 2357d1ef0784887fd664a2ba2dbc9797 Z 59e834e53ef42b78107149fbc0ea32b5

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7aaf0a6ae1238129e07eb191ca3f043df445e27a efffc49baf38698ed3de05d16b4261bf405d42d7

5
src/where.c
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@@ -3111,12 +3111,13 @@ static void bestBtreeIndex(
} }
#ifdef SQLITE_ENABLE_STAT2 #ifdef SQLITE_ENABLE_STAT2
/* If the constraint is of the form x=VALUE and histogram /* If the constraint is of the form x=VALUE or x IN (E1,E2,...)
** and we do not think that values of x are unique and if histogram
** data is available for column x, then it might be possible ** data is available for column x, then it might be possible
** to get a better estimate on the number of rows based on ** to get a better estimate on the number of rows based on
** VALUE and how common that value is according to the histogram. ** VALUE and how common that value is according to the histogram.
*/ */
if( nRow>(double)1 && nEq==1 && pFirstTerm!=0 ){ if( nRow>(double)1 && nEq==1 && pFirstTerm!=0 && aiRowEst[1]>1 ){
if( pFirstTerm->eOperator & (WO_EQ|WO_ISNULL) ){ if( pFirstTerm->eOperator & (WO_EQ|WO_ISNULL) ){
testcase( pFirstTerm->eOperator==WO_EQ ); testcase( pFirstTerm->eOperator==WO_EQ );
testcase( pFirstTerm->eOperator==WO_ISNULL ); testcase( pFirstTerm->eOperator==WO_ISNULL );