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Diffstat (limited to 'third_party/sqlite/test/select3.test')
| -rwxr-xr-x | third_party/sqlite/test/select3.test | 264 |
1 files changed, 264 insertions, 0 deletions
diff --git a/third_party/sqlite/test/select3.test b/third_party/sqlite/test/select3.test new file mode 100755 index 0000000..b5dbef5 --- /dev/null +++ b/third_party/sqlite/test/select3.test @@ -0,0 +1,264 @@ +# 2001 September 15 +# +# The author disclaims copyright to this source code. In place of +# a legal notice, here is a blessing: +# +# May you do good and not evil. +# May you find forgiveness for yourself and forgive others. +# May you share freely, never taking more than you give. +# +#*********************************************************************** +# This file implements regression tests for SQLite library. The +# focus of this file is testing aggregate functions and the +# GROUP BY and HAVING clauses of SELECT statements. +# +# $Id: select3.test,v 1.23 2008/01/16 18:20:42 danielk1977 Exp $ + +set testdir [file dirname $argv0] +source $testdir/tester.tcl + +# Build some test data +# +do_test select3-1.0 { + execsql { + CREATE TABLE t1(n int, log int); + BEGIN; + } + for {set i 1} {$i<32} {incr i} { + for {set j 0} {(1<<$j)<$i} {incr j} {} + execsql "INSERT INTO t1 VALUES($i,$j)" + } + execsql { + COMMIT + } + execsql {SELECT DISTINCT log FROM t1 ORDER BY log} +} {0 1 2 3 4 5} + +# Basic aggregate functions. +# +do_test select3-1.1 { + execsql {SELECT count(*) FROM t1} +} {31} +do_test select3-1.2 { + execsql { + SELECT min(n),min(log),max(n),max(log),sum(n),sum(log),avg(n),avg(log) + FROM t1 + } +} {1 0 31 5 496 124 16.0 4.0} +do_test select3-1.3 { + execsql {SELECT max(n)/avg(n), max(log)/avg(log) FROM t1} +} {1.9375 1.25} + +# Try some basic GROUP BY clauses +# +do_test select3-2.1 { + execsql {SELECT log, count(*) FROM t1 GROUP BY log ORDER BY log} +} {0 1 1 1 2 2 3 4 4 8 5 15} +do_test select3-2.2 { + execsql {SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log} +} {0 1 1 2 2 3 3 5 4 9 5 17} +do_test select3-2.3.1 { + execsql {SELECT log, avg(n) FROM t1 GROUP BY log ORDER BY log} +} {0 1.0 1 2.0 2 3.5 3 6.5 4 12.5 5 24.0} +do_test select3-2.3.2 { + execsql {SELECT log, avg(n)+1 FROM t1 GROUP BY log ORDER BY log} +} {0 2.0 1 3.0 2 4.5 3 7.5 4 13.5 5 25.0} +do_test select3-2.4 { + execsql {SELECT log, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log} +} {0 0.0 1 0.0 2 0.5 3 1.5 4 3.5 5 7.0} +do_test select3-2.5 { + execsql {SELECT log*2+1, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log} +} {1 0.0 3 0.0 5 0.5 7 1.5 9 3.5 11 7.0} +do_test select3-2.6 { + execsql { + SELECT log*2+1 as x, count(*) FROM t1 GROUP BY x ORDER BY x + } +} {1 1 3 1 5 2 7 4 9 8 11 15} +do_test select3-2.7 { + execsql { + SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY y, x + } +} {1 1 3 1 5 2 7 4 9 8 11 15} +do_test select3-2.8 { + execsql { + SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY 10-(x+y) + } +} {11 15 9 8 7 4 5 2 3 1 1 1} +#do_test select3-2.9 { +# catchsql { +# SELECT log, count(*) FROM t1 GROUP BY 'x' ORDER BY log; +# } +#} {1 {GROUP BY terms must not be non-integer constants}} +do_test select3-2.10 { + catchsql { + SELECT log, count(*) FROM t1 GROUP BY 0 ORDER BY log; + } +} {1 {1st GROUP BY term out of range - should be between 1 and 2}} +do_test select3-2.11 { + catchsql { + SELECT log, count(*) FROM t1 GROUP BY 3 ORDER BY log; + } +} {1 {1st GROUP BY term out of range - should be between 1 and 2}} +do_test select3-2.12 { + catchsql { + SELECT log, count(*) FROM t1 GROUP BY 1 ORDER BY log; + } +} {0 {0 1 1 1 2 2 3 4 4 8 5 15}} + +# Cannot have an empty GROUP BY +do_test select3-2.13 { + catchsql { + SELECT log, count(*) FROM t1 GROUP BY ORDER BY log; + } +} {1 {near "ORDER": syntax error}} +do_test select3-2.14 { + catchsql { + SELECT log, count(*) FROM t1 GROUP BY; + } +} {1 {near ";": syntax error}} + +# Cannot have a HAVING without a GROUP BY +# +do_test select3-3.1 { + set v [catch {execsql {SELECT log, count(*) FROM t1 HAVING log>=4}} msg] + lappend v $msg +} {1 {a GROUP BY clause is required before HAVING}} + +# Toss in some HAVING clauses +# +do_test select3-4.1 { + execsql {SELECT log, count(*) FROM t1 GROUP BY log HAVING log>=4 ORDER BY log} +} {4 8 5 15} +do_test select3-4.2 { + execsql { + SELECT log, count(*) FROM t1 + GROUP BY log + HAVING count(*)>=4 + ORDER BY log + } +} {3 4 4 8 5 15} +do_test select3-4.3 { + execsql { + SELECT log, count(*) FROM t1 + GROUP BY log + HAVING count(*)>=4 + ORDER BY max(n)+0 + } +} {3 4 4 8 5 15} +do_test select3-4.4 { + execsql { + SELECT log AS x, count(*) AS y FROM t1 + GROUP BY x + HAVING y>=4 + ORDER BY max(n)+0 + } +} {3 4 4 8 5 15} +do_test select3-4.5 { + execsql { + SELECT log AS x FROM t1 + GROUP BY x + HAVING count(*)>=4 + ORDER BY max(n)+0 + } +} {3 4 5} + +do_test select3-5.1 { + execsql { + SELECT log, count(*), avg(n), max(n+log*2) FROM t1 + GROUP BY log + ORDER BY max(n+log*2)+0, avg(n)+0 + } +} {0 1 1.0 1 1 1 2.0 4 2 2 3.5 8 3 4 6.5 14 4 8 12.5 24 5 15 24.0 41} +do_test select3-5.2 { + execsql { + SELECT log, count(*), avg(n), max(n+log*2) FROM t1 + GROUP BY log + ORDER BY max(n+log*2)+0, min(log,avg(n))+0 + } +} {0 1 1.0 1 1 1 2.0 4 2 2 3.5 8 3 4 6.5 14 4 8 12.5 24 5 15 24.0 41} + +# Test sorting of GROUP BY results in the presence of an index +# on the GROUP BY column. +# +do_test select3-6.1 { + execsql { + SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log; + } +} {0 1 1 2 2 3 3 5 4 9 5 17} +do_test select3-6.2 { + execsql { + SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC; + } +} {5 17 4 9 3 5 2 3 1 2 0 1} +do_test select3-6.3 { + execsql { + SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1; + } +} {0 1 1 2 2 3 3 5 4 9 5 17} +do_test select3-6.4 { + execsql { + SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC; + } +} {5 17 4 9 3 5 2 3 1 2 0 1} +do_test select3-6.5 { + execsql { + CREATE INDEX i1 ON t1(log); + SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log; + } +} {0 1 1 2 2 3 3 5 4 9 5 17} +do_test select3-6.6 { + execsql { + SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC; + } +} {5 17 4 9 3 5 2 3 1 2 0 1} +do_test select3-6.7 { + execsql { + SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1; + } +} {0 1 1 2 2 3 3 5 4 9 5 17} +do_test select3-6.8 { + execsql { + SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC; + } +} {5 17 4 9 3 5 2 3 1 2 0 1} + +# Sometimes an aggregate query can return no rows at all. +# +do_test select3-7.1 { + execsql { + CREATE TABLE t2(a,b); + INSERT INTO t2 VALUES(1,2); + SELECT a, sum(b) FROM t2 WHERE b=5 GROUP BY a; + } +} {} +do_test select3-7.2 { + execsql { + SELECT a, sum(b) FROM t2 WHERE b=5; + } +} {{} {}} + +# If a table column is of type REAL but we are storing integer values +# in it, the values are stored as integers to take up less space. The +# values are converted by to REAL as they are read out of the table. +# Make sure the GROUP BY clause does this conversion correctly. +# Ticket #2251. +# +do_test select3-8.1 { + execsql { + CREATE TABLE A ( + A1 DOUBLE, + A2 VARCHAR COLLATE NOCASE, + A3 DOUBLE + ); + INSERT INTO A VALUES(39136,'ABC',1201900000); + INSERT INTO A VALUES(39136,'ABC',1207000000); + SELECT typeof(sum(a3)) FROM a; + } +} {real} +do_test select3-8.2 { + execsql { + SELECT typeof(sum(a3)) FROM a GROUP BY a1; + } +} {real} + +finish_test |