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