e39c4afcfa
The results of the KNN-search test cases were indeterminate, as they asked the system to sort pairs of points that are exactly equidistant from the query reference point. It's a bit surprising that we've seen no platform-specific failures from this in the buildfarm. Perhaps IEEE-float math is well enough standardized that no such failures will ever occur on supported platforms ... but since this entire regression test has yet to be shipped in any non-alpha release, that seems like an unduly optimistic assumption. Tweak the queries so that the correct output is uniquely defined. (The other queries in this test are also underdetermined; but it looks like they are regurgitating index rows in insertion order, so for the moment assume that that behavior is stable enough.) Per Greg Stark's experiments with VAX. Back-patch to 9.5 where this test script was introduced.
107 lines
3.1 KiB
SQL
107 lines
3.1 KiB
SQL
--
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-- Test GiST indexes.
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--
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-- There are other tests to test different GiST opclasses. This is for
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-- testing GiST code itself. Vacuuming in particular.
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create table gist_point_tbl(id int4, p point);
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create index gist_pointidx on gist_point_tbl using gist(p);
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-- Insert enough data to create a tree that's a couple of levels deep.
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insert into gist_point_tbl (id, p)
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select g, point(g*10, g*10) from generate_series(1, 10000) g;
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insert into gist_point_tbl (id, p)
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select g+100000, point(g*10+1, g*10+1) from generate_series(1, 10000) g;
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-- To test vacuum, delete some entries from all over the index.
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delete from gist_point_tbl where id % 2 = 1;
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-- And also delete some concentration of values. (GiST doesn't currently
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-- attempt to delete pages even when they become empty, but if it did, this
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-- would exercise it)
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delete from gist_point_tbl where id < 10000;
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vacuum analyze gist_point_tbl;
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--
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-- Test Index-only plans on GiST indexes
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--
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create table gist_tbl (b box, p point, c circle);
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insert into gist_tbl
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select box(point(0.05*i, 0.05*i), point(0.05*i, 0.05*i)),
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point(0.05*i, 0.05*i),
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circle(point(0.05*i, 0.05*i), 1.0)
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from generate_series(0,10000) as i;
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vacuum analyze gist_tbl;
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set enable_seqscan=off;
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set enable_bitmapscan=off;
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set enable_indexonlyscan=on;
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-- Test index-only scan with point opclass
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create index gist_tbl_point_index on gist_tbl using gist (p);
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-- check that the planner chooses an index-only scan
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explain (costs off)
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select p from gist_tbl where p <@ box(point(0,0), point(0.5, 0.5));
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-- execute the same
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select p from gist_tbl where p <@ box(point(0,0), point(0.5, 0.5));
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-- Also test an index-only knn-search
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explain (costs off)
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select p from gist_tbl where p <@ box(point(0,0), point(0.5, 0.5))
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order by p <-> point(0.201, 0.201);
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select p from gist_tbl where p <@ box(point(0,0), point(0.5, 0.5))
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order by p <-> point(0.201, 0.201);
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-- Check commuted case as well
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explain (costs off)
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select p from gist_tbl where p <@ box(point(0,0), point(0.5, 0.5))
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order by point(0.101, 0.101) <-> p;
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select p from gist_tbl where p <@ box(point(0,0), point(0.5, 0.5))
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order by point(0.101, 0.101) <-> p;
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drop index gist_tbl_point_index;
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-- Test index-only scan with box opclass
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create index gist_tbl_box_index on gist_tbl using gist (b);
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-- check that the planner chooses an index-only scan
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explain (costs off)
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select b from gist_tbl where b <@ box(point(5,5), point(6,6));
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-- execute the same
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select b from gist_tbl where b <@ box(point(5,5), point(6,6));
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drop index gist_tbl_box_index;
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-- Test that an index-only scan is not chosen, when the query involves the
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-- circle column (the circle opclass does not support index-only scans).
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create index gist_tbl_multi_index on gist_tbl using gist (p, c);
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explain (costs off)
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select p, c from gist_tbl
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where p <@ box(point(5,5), point(6, 6));
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-- execute the same
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select b, p from gist_tbl
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where b <@ box(point(4.5, 4.5), point(5.5, 5.5))
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and p <@ box(point(5,5), point(6, 6));
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drop index gist_tbl_multi_index;
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-- Clean up
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reset enable_seqscan;
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reset enable_bitmapscan;
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reset enable_indexonlyscan;
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drop table gist_tbl;
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