3f4d1d1b02
that the index will be smaller and require less disk I/O and thus be faster. FossilOrigin-Name: cfaa7bc12847a7006ccc93815f2395ad5259744a
54 lines
1.5 KiB
Plaintext
54 lines
1.5 KiB
Plaintext
# 2012 April 02
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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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# The tests in this file were used while developing the SQLite 4 code.
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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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set testprefix tkt-385a5b56b9
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do_execsql_test 1.0 {
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CREATE TABLE t1(x, y);
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INSERT INTO t1 VALUES(1, NULL);
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INSERT INTO t1 VALUES(2, NULL);
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INSERT INTO t1 VALUES(1, NULL);
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}
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do_execsql_test 1.1 { SELECT DISTINCT x, y FROM t1 } {1 {} 2 {}}
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do_execsql_test 1.2 { CREATE UNIQUE INDEX i1 ON t1(x, y) }
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do_execsql_test 1.3 { SELECT DISTINCT x, y FROM t1 } {1 {} 2 {}}
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#-------------------------------------------------------------------------
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do_execsql_test 2.0 {
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CREATE TABLE t2(x, y NOT NULL);
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CREATE UNIQUE INDEX t2x ON t2(x);
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CREATE UNIQUE INDEX t2y ON t2(y);
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}
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do_eqp_test 2.1 { SELECT DISTINCT x FROM t2 } {
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0 0 0 {SCAN TABLE t2 USING COVERING INDEX t2x (~1000000 rows)}
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}
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do_eqp_test 2.2 { SELECT DISTINCT y FROM t2 } {
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0 0 0 {SCAN TABLE t2 USING COVERING INDEX t2y (~1000000 rows)}
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}
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do_eqp_test 2.3 { SELECT DISTINCT x, y FROM t2 WHERE y=10 } {
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0 0 0 {SEARCH TABLE t2 USING INDEX t2y (y=?) (~1 rows)}
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}
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do_eqp_test 2.4 { SELECT DISTINCT x, y FROM t2 WHERE x=10 } {
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0 0 0 {SEARCH TABLE t2 USING INDEX t2x (x=?) (~1 rows)}
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}
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finish_test
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