5822d6feb2
wherecosttest tool. Other fixes to logarithm cost. FossilOrigin-Name: aa580e368e3c398b8377b80342dfdd906324c248
112 lines
3.5 KiB
Plaintext
112 lines
3.5 KiB
Plaintext
# 2011 January 04
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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 regression tests for SQLite library. This file
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# implements tests for ANALYZE to verify that multiple rows containing
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# a NULL value count as distinct rows for the purposes of analyze
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# statistics.
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#
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# Also include test cases for collating sequences on indices.
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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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do_test analyze4-1.0 {
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db eval {
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CREATE TABLE t1(a,b);
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CREATE INDEX t1a ON t1(a);
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CREATE INDEX t1b ON t1(b);
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INSERT INTO t1 VALUES(1,NULL);
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INSERT INTO t1 SELECT a+1, b FROM t1;
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INSERT INTO t1 SELECT a+2, b FROM t1;
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INSERT INTO t1 SELECT a+4, b FROM t1;
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INSERT INTO t1 SELECT a+8, b FROM t1;
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INSERT INTO t1 SELECT a+16, b FROM t1;
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INSERT INTO t1 SELECT a+32, b FROM t1;
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INSERT INTO t1 SELECT a+64, b FROM t1;
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ANALYZE;
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}
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# Should choose the t1a index since it is more specific than t1b.
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db eval {EXPLAIN QUERY PLAN SELECT * FROM t1 WHERE a=5 AND b IS NULL}
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} {0 0 0 {SEARCH TABLE t1 USING INDEX t1a (a=?)}}
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# Verify that the t1b index shows that it does not narrow down the
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# search any at all.
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#
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do_test analyze4-1.1 {
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db eval {
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SELECT idx, stat FROM sqlite_stat1 WHERE tbl='t1' ORDER BY idx;
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}
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} {t1a {128 1} t1b {128 128}}
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# Change half of the b values from NULL to a constant. Verify
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# that the number of rows selected in stat1 is half the total
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# number of rows.
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#
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do_test analyze4-1.2 {
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db eval {
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UPDATE t1 SET b='x' WHERE a%2;
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ANALYZE;
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SELECT idx, stat FROM sqlite_stat1 WHERE tbl='t1' ORDER BY idx;
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}
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} {t1a {128 1} t1b {128 64}}
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# Change the t1.b values all back to NULL. Add columns t1.c and t1.d.
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# Create a multi-column indices using t1.b and verify that ANALYZE
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# processes them correctly.
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#
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do_test analyze4-1.3 {
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db eval {
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UPDATE t1 SET b=NULL;
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ALTER TABLE t1 ADD COLUMN c;
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ALTER TABLE t1 ADD COLUMN d;
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UPDATE t1 SET c=a/4, d=a/2;
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CREATE INDEX t1bcd ON t1(b,c,d);
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CREATE INDEX t1cdb ON t1(c,d,b);
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CREATE INDEX t1cbd ON t1(c,b,d);
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ANALYZE;
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SELECT idx, stat FROM sqlite_stat1 WHERE tbl='t1' ORDER BY idx;
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}
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} {t1a {128 1} t1b {128 128} t1bcd {128 128 4 2} t1cbd {128 4 4 2} t1cdb {128 4 2 2}}
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# Verify that collating sequences are taken into account when computing
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# ANALYZE statistics.
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#
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do_test analyze4-2.0 {
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db eval {
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CREATE TABLE t2(
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x INTEGER PRIMARY KEY,
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a TEXT COLLATE nocase,
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b TEXT COLLATE rtrim,
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c TEXT COLLATE binary
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);
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CREATE INDEX t2a ON t2(a);
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CREATE INDEX t2b ON t2(b);
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CREATE INDEX t2c ON t2(c);
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CREATE INDEX t2c2 ON t2(c COLLATE nocase);
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CREATE INDEX t2c3 ON t2(c COLLATE rtrim);
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INSERT INTO t2 VALUES(1, 'abc', 'abc', 'abc');
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INSERT INTO t2 VALUES(2, 'abC', 'abC', 'abC');
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INSERT INTO t2 VALUES(3, 'abc ', 'abc ', 'abc ');
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INSERT INTO t2 VALUES(4, 'abC ', 'abC ', 'abC ');
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INSERT INTO t2 VALUES(5, 'aBc', 'aBc', 'aBc');
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INSERT INTO t2 VALUES(6, 'aBC', 'aBC', 'aBC');
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INSERT INTO t2 VALUES(7, 'aBc ', 'aBc ', 'aBc ');
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INSERT INTO t2 VALUES(8, 'aBC ', 'aBC ', 'aBC ');
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ANALYZE;
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SELECT idx, stat FROM sqlite_stat1 WHERE tbl='t2' ORDER BY idx;
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}
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} {t2a {8 4} t2b {8 2} t2c {8 1} t2c2 {8 4} t2c3 {8 2}}
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finish_test
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