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/contrib/cube improvements:

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Update the calling convention for all external facing functions. By
external facing, I mean all functions that are directly referenced in
cube.sql. Prior to my update, all functions used the older V0 calling
convention. They now use V1.

New Functions:

cube(float[]), which makes a zero volume cube from a float array

cube(float[], float[]), which allows the user to create a cube from
two float arrays; one for the upper right and one for the lower left
coordinate.

cube_subset(cube, int4[]), to allow you to reorder or choose a subset of
dimensions from a cube, using index values specified in the array.

Joshua Reich
This commit is contained in:
Bruce Momjian
2006-07-25 23:23:45 +00:00
parent e6284649b9
commit 796de9c1ed
7 changed files with 663 additions and 197 deletions
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53
contrib/cube/expected/cube.out
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@ -8,7 +8,9 @@
\set ECHO none
psql:cube.sql:10: NOTICE: type "cube" is not yet defined
DETAIL: Creating a shell type definition.
psql:cube.sql:15: NOTICE: argument type cube is only a shell
psql:cube.sql:14: NOTICE: return type cube is only a shell
psql:cube.sql:18: NOTICE: return type cube is only a shell
psql:cube.sql:23: NOTICE: argument type cube is only a shell
--
-- testing the input and output functions
--
@ -395,6 +397,37 @@ SELECT '(0)'::text::cube;
(0)
(1 row)
--
-- Test the float[] -> cube cast
--
SELECT cube('{0,1,2}'::float[], '{3,4,5}'::float[]);
cube
---------------------
(0, 1, 2),(3, 4, 5)
(1 row)
SELECT cube('{0,1,2}'::float[], '{3}'::float[]);
ERROR: UR and LL arrays must be of same length
SELECT cube(NULL::float[], '{3}'::float[]);
cube
------
(1 row)
SELECT cube('{0,1,2}'::float[]);
cube
-----------
(0, 1, 2)
(1 row)
SELECT cube_subset(cube('(1,3,5),(6,7,8)'), ARRAY[3,2,1,1]);
cube_subset
---------------------------
(5, 3, 1, 1),(8, 7, 6, 6)
(1 row)
SELECT cube_subset(cube('(1,3,5),(6,7,8)'), ARRAY[4,0]);
ERROR: Index out of bounds
--
-- Testing limit of CUBE_MAX_DIM dimensions check in cube_in.
--
@ -1021,24 +1054,24 @@ SELECT cube_enlarge('(2,-2),(-3,7)'::cube, -3, 2);
CREATE TABLE test_cube (c cube);
\copy test_cube from 'data/test_cube.data'
CREATE INDEX test_cube_ix ON test_cube USING gist (c);
SELECT * FROM test_cube WHERE c && '(3000,1000),(0,0)';
SELECT * FROM test_cube WHERE c && '(3000,1000),(0,0)' ORDER BY c;
c
--------------------------
(2424, 160),(2424, 81)
(759, 187),(662, 163)
(1444, 403),(1346, 344)
(337, 455),(240, 359)
(1594, 1043),(1517, 971)
(337, 455),(240, 359)
(1444, 403),(1346, 344)
(759, 187),(662, 163)
(2424, 160),(2424, 81)
(5 rows)
-- Test sorting
SELECT * FROM test_cube WHERE c && '(3000,1000),(0,0)' GROUP BY c;
SELECT * FROM test_cube WHERE c && '(3000,1000),(0,0)' GROUP BY c ORDER BY c;
c
--------------------------
(337, 455),(240, 359)
(759, 187),(662, 163)
(1444, 403),(1346, 344)
(1594, 1043),(1517, 971)
(337, 455),(240, 359)
(1444, 403),(1346, 344)
(759, 187),(662, 163)
(2424, 160),(2424, 81)
(5 rows)