116 lines
3.6 KiB
Plaintext
116 lines
3.6 KiB
Plaintext
# 2011 August 13
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#
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# The author disclaims copyright to this source code. In place of
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# a legal notice, here is a blessing:
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#
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# May you do good and not evil.
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# May you find forgiveness for yourself and forgive others.
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# May you share freely, never taking more than you give.
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#
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#***********************************************************************
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#
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# This file implements tests for SQLite library. The focus of the tests
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# in this file is testing the capabilities of sqlite_stat3.
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#
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set testdir [file dirname $argv0]
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source $testdir/tester.tcl
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ifcapable !stat4&&!stat3 {
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finish_test
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return
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}
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set testprefix analyze8
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proc eqp {sql {db db}} {
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uplevel execsql [list "EXPLAIN QUERY PLAN $sql"] $db
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}
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# Scenario:
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#
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# Two indices. One has mostly singleton entries, but for a few
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# values there are hundreds of entries. The other has 10-20
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# entries per value.
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#
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# Verify that the query planner chooses the first index for the singleton
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# entries and the second index for the others.
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#
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do_test 1.0 {
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db eval {
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CREATE TABLE t1(a,b,c,d);
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CREATE INDEX t1a ON t1(a);
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CREATE INDEX t1b ON t1(b);
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CREATE INDEX t1c ON t1(c);
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}
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for {set i 0} {$i<1000} {incr i} {
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if {$i%2==0} {set a $i} {set a [expr {($i%8)*100}]}
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set b [expr {$i/10}]
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set c [expr {$i/8}]
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set c [expr {$c*$c*$c}]
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db eval {INSERT INTO t1 VALUES($a,$b,$c,$i)}
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}
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db eval {ANALYZE}
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} {}
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# The a==100 comparison is expensive because there are many rows
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# with a==100. And so for those cases, choose the t1b index.
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#
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# Buf ro a==99 and a==101, there are far fewer rows so choose
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# the t1a index.
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#
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do_test 1.1 {
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eqp {SELECT * FROM t1 WHERE a=100 AND b=55}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1b (b=?)}}
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do_test 1.2 {
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eqp {SELECT * FROM t1 WHERE a=99 AND b=55}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1a (a=?)}}
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do_test 1.3 {
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eqp {SELECT * FROM t1 WHERE a=101 AND b=55}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1a (a=?)}}
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do_test 1.4 {
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eqp {SELECT * FROM t1 WHERE a=100 AND b=56}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1b (b=?)}}
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do_test 1.5 {
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eqp {SELECT * FROM t1 WHERE a=99 AND b=56}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1a (a=?)}}
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do_test 1.6 {
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eqp {SELECT * FROM t1 WHERE a=101 AND b=56}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1a (a=?)}}
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do_test 2.1 {
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eqp {SELECT * FROM t1 WHERE a=100 AND b BETWEEN 50 AND 54}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1b (b>? AND b<?)}}
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# There are many more values of c between 0 and 100000 than there are
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# between 800000 and 900000. So t1c is more selective for the latter
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# range.
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#
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# Test 3.2 is a little unstable. It depends on the planner estimating
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# that (b BETWEEN 50 AND 54) will match more rows than (c BETWEEN
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# 800000 AND 900000). Which is a pretty close call (50 vs. 32), so
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# the planner could get it wrong with an unlucky set of samples. This
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# case happens to work, but others ("b BETWEEN 40 AND 44" for example)
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# will fail.
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#
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do_execsql_test 3.0 {
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SELECT count(*) FROM t1 WHERE b BETWEEN 50 AND 54;
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SELECT count(*) FROM t1 WHERE c BETWEEN 0 AND 100000;
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SELECT count(*) FROM t1 WHERE c BETWEEN 800000 AND 900000;
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} {50 376 32}
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do_test 3.1 {
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eqp {SELECT * FROM t1 WHERE b BETWEEN 50 AND 54 AND c BETWEEN 0 AND 100000}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1b (b>? AND b<?)}}
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do_test 3.2 {
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eqp {SELECT * FROM t1
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WHERE b BETWEEN 50 AND 54 AND c BETWEEN 800000 AND 900000}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1c (c>? AND c<?)}}
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do_test 3.3 {
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eqp {SELECT * FROM t1 WHERE a=100 AND c BETWEEN 0 AND 100000}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1a (a=?)}}
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do_test 3.4 {
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eqp {SELECT * FROM t1
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WHERE a=100 AND c BETWEEN 800000 AND 900000}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1c (c>? AND c<?)}}
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finish_test
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