123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264 |
- # 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
|