Annotation of embedaddon/sqlite3/test/select3.test, revision 1.1

1.1     ! misho       1: # 2001 September 15
        !             2: #
        !             3: # The author disclaims copyright to this source code.  In place of
        !             4: # a legal notice, here is a blessing:
        !             5: #
        !             6: #    May you do good and not evil.
        !             7: #    May you find forgiveness for yourself and forgive others.
        !             8: #    May you share freely, never taking more than you give.
        !             9: #
        !            10: #***********************************************************************
        !            11: # This file implements regression tests for SQLite library.  The
        !            12: # focus of this file is testing aggregate functions and the
        !            13: # GROUP BY and HAVING clauses of SELECT statements.
        !            14: #
        !            15: # $Id: select3.test,v 1.23 2008/01/16 18:20:42 danielk1977 Exp $
        !            16: 
        !            17: set testdir [file dirname $argv0]
        !            18: source $testdir/tester.tcl
        !            19: 
        !            20: # Build some test data
        !            21: #
        !            22: do_test select3-1.0 {
        !            23:   execsql {
        !            24:     CREATE TABLE t1(n int, log int);
        !            25:     BEGIN;
        !            26:   }
        !            27:   for {set i 1} {$i<32} {incr i} {
        !            28:     for {set j 0} {(1<<$j)<$i} {incr j} {}
        !            29:     execsql "INSERT INTO t1 VALUES($i,$j)"
        !            30:   }
        !            31:   execsql {
        !            32:     COMMIT
        !            33:   }
        !            34:   execsql {SELECT DISTINCT log FROM t1 ORDER BY log}
        !            35: } {0 1 2 3 4 5}
        !            36: 
        !            37: # Basic aggregate functions.
        !            38: #
        !            39: do_test select3-1.1 {
        !            40:   execsql {SELECT count(*) FROM t1}
        !            41: } {31}
        !            42: do_test select3-1.2 {
        !            43:   execsql {
        !            44:     SELECT min(n),min(log),max(n),max(log),sum(n),sum(log),avg(n),avg(log)
        !            45:     FROM t1
        !            46:   }
        !            47: } {1 0 31 5 496 124 16.0 4.0}
        !            48: do_test select3-1.3 {
        !            49:   execsql {SELECT max(n)/avg(n), max(log)/avg(log) FROM t1}
        !            50: } {1.9375 1.25}
        !            51: 
        !            52: # Try some basic GROUP BY clauses
        !            53: #
        !            54: do_test select3-2.1 {
        !            55:   execsql {SELECT log, count(*) FROM t1 GROUP BY log ORDER BY log}
        !            56: } {0 1 1 1 2 2 3 4 4 8 5 15}
        !            57: do_test select3-2.2 {
        !            58:   execsql {SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log}
        !            59: } {0 1 1 2 2 3 3 5 4 9 5 17}
        !            60: do_test select3-2.3.1 {
        !            61:   execsql {SELECT log, avg(n) FROM t1 GROUP BY log ORDER BY log}
        !            62: } {0 1.0 1 2.0 2 3.5 3 6.5 4 12.5 5 24.0}
        !            63: do_test select3-2.3.2 {
        !            64:   execsql {SELECT log, avg(n)+1 FROM t1 GROUP BY log ORDER BY log}
        !            65: } {0 2.0 1 3.0 2 4.5 3 7.5 4 13.5 5 25.0}
        !            66: do_test select3-2.4 {
        !            67:   execsql {SELECT log, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log}
        !            68: } {0 0.0 1 0.0 2 0.5 3 1.5 4 3.5 5 7.0}
        !            69: do_test select3-2.5 {
        !            70:   execsql {SELECT log*2+1, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log}
        !            71: } {1 0.0 3 0.0 5 0.5 7 1.5 9 3.5 11 7.0}
        !            72: do_test select3-2.6 {
        !            73:   execsql {
        !            74:     SELECT log*2+1 as x, count(*) FROM t1 GROUP BY x ORDER BY x
        !            75:   }
        !            76: } {1 1 3 1 5 2 7 4 9 8 11 15}
        !            77: do_test select3-2.7 {
        !            78:   execsql {
        !            79:     SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY y, x
        !            80:   }
        !            81: } {1 1 3 1 5 2 7 4 9 8 11 15}
        !            82: do_test select3-2.8 {
        !            83:   execsql {
        !            84:     SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY 10-(x+y)
        !            85:   }
        !            86: } {11 15 9 8 7 4 5 2 3 1 1 1}
        !            87: #do_test select3-2.9 {
        !            88: #  catchsql {
        !            89: #    SELECT log, count(*) FROM t1 GROUP BY 'x' ORDER BY log;
        !            90: #  }
        !            91: #} {1 {GROUP BY terms must not be non-integer constants}}
        !            92: do_test select3-2.10 {
        !            93:   catchsql {
        !            94:     SELECT log, count(*) FROM t1 GROUP BY 0 ORDER BY log;
        !            95:   }
        !            96: } {1 {1st GROUP BY term out of range - should be between 1 and 2}}
        !            97: do_test select3-2.11 {
        !            98:   catchsql {
        !            99:     SELECT log, count(*) FROM t1 GROUP BY 3 ORDER BY log;
        !           100:   }
        !           101: } {1 {1st GROUP BY term out of range - should be between 1 and 2}}
        !           102: do_test select3-2.12 {
        !           103:   catchsql {
        !           104:     SELECT log, count(*) FROM t1 GROUP BY 1 ORDER BY log;
        !           105:   }
        !           106: } {0 {0 1 1 1 2 2 3 4 4 8 5 15}}
        !           107: 
        !           108: # Cannot have an empty GROUP BY
        !           109: do_test select3-2.13 {
        !           110:   catchsql {
        !           111:     SELECT log, count(*) FROM t1 GROUP BY ORDER BY log;
        !           112:   }
        !           113: } {1 {near "ORDER": syntax error}}
        !           114: do_test select3-2.14 {
        !           115:   catchsql {
        !           116:     SELECT log, count(*) FROM t1 GROUP BY;
        !           117:   }
        !           118: } {1 {near ";": syntax error}}
        !           119: 
        !           120: # Cannot have a HAVING without a GROUP BY
        !           121: #
        !           122: do_test select3-3.1 {
        !           123:   set v [catch {execsql {SELECT log, count(*) FROM t1 HAVING log>=4}} msg]
        !           124:   lappend v $msg
        !           125: } {1 {a GROUP BY clause is required before HAVING}}
        !           126: 
        !           127: # Toss in some HAVING clauses
        !           128: #
        !           129: do_test select3-4.1 {
        !           130:   execsql {SELECT log, count(*) FROM t1 GROUP BY log HAVING log>=4 ORDER BY log}
        !           131: } {4 8 5 15}
        !           132: do_test select3-4.2 {
        !           133:   execsql {
        !           134:     SELECT log, count(*) FROM t1 
        !           135:     GROUP BY log 
        !           136:     HAVING count(*)>=4 
        !           137:     ORDER BY log
        !           138:   }
        !           139: } {3 4 4 8 5 15}
        !           140: do_test select3-4.3 {
        !           141:   execsql {
        !           142:     SELECT log, count(*) FROM t1 
        !           143:     GROUP BY log 
        !           144:     HAVING count(*)>=4 
        !           145:     ORDER BY max(n)+0
        !           146:   }
        !           147: } {3 4 4 8 5 15}
        !           148: do_test select3-4.4 {
        !           149:   execsql {
        !           150:     SELECT log AS x, count(*) AS y FROM t1 
        !           151:     GROUP BY x
        !           152:     HAVING y>=4 
        !           153:     ORDER BY max(n)+0
        !           154:   }
        !           155: } {3 4 4 8 5 15}
        !           156: do_test select3-4.5 {
        !           157:   execsql {
        !           158:     SELECT log AS x FROM t1 
        !           159:     GROUP BY x
        !           160:     HAVING count(*)>=4 
        !           161:     ORDER BY max(n)+0
        !           162:   }
        !           163: } {3 4 5}
        !           164: 
        !           165: do_test select3-5.1 {
        !           166:   execsql {
        !           167:     SELECT log, count(*), avg(n), max(n+log*2) FROM t1 
        !           168:     GROUP BY log 
        !           169:     ORDER BY max(n+log*2)+0, avg(n)+0
        !           170:   }
        !           171: } {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}
        !           172: do_test select3-5.2 {
        !           173:   execsql {
        !           174:     SELECT log, count(*), avg(n), max(n+log*2) FROM t1 
        !           175:     GROUP BY log 
        !           176:     ORDER BY max(n+log*2)+0, min(log,avg(n))+0
        !           177:   }
        !           178: } {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}
        !           179: 
        !           180: # Test sorting of GROUP BY results in the presence of an index
        !           181: # on the GROUP BY column.
        !           182: #
        !           183: do_test select3-6.1 {
        !           184:   execsql {
        !           185:     SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log;
        !           186:   }
        !           187: } {0 1 1 2 2 3 3 5 4 9 5 17}
        !           188: do_test select3-6.2 {
        !           189:   execsql {
        !           190:     SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC;
        !           191:   }
        !           192: } {5 17 4 9 3 5 2 3 1 2 0 1}
        !           193: do_test select3-6.3 {
        !           194:   execsql {
        !           195:     SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1;
        !           196:   }
        !           197: } {0 1 1 2 2 3 3 5 4 9 5 17}
        !           198: do_test select3-6.4 {
        !           199:   execsql {
        !           200:     SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC;
        !           201:   }
        !           202: } {5 17 4 9 3 5 2 3 1 2 0 1}
        !           203: do_test select3-6.5 {
        !           204:   execsql {
        !           205:     CREATE INDEX i1 ON t1(log);
        !           206:     SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log;
        !           207:   }
        !           208: } {0 1 1 2 2 3 3 5 4 9 5 17}
        !           209: do_test select3-6.6 {
        !           210:   execsql {
        !           211:     SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC;
        !           212:   }
        !           213: } {5 17 4 9 3 5 2 3 1 2 0 1}
        !           214: do_test select3-6.7 {
        !           215:   execsql {
        !           216:     SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1;
        !           217:   }
        !           218: } {0 1 1 2 2 3 3 5 4 9 5 17}
        !           219: do_test select3-6.8 {
        !           220:   execsql {
        !           221:     SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC;
        !           222:   }
        !           223: } {5 17 4 9 3 5 2 3 1 2 0 1}
        !           224: 
        !           225: # Sometimes an aggregate query can return no rows at all.
        !           226: #
        !           227: do_test select3-7.1 {
        !           228:   execsql {
        !           229:     CREATE TABLE t2(a,b);
        !           230:     INSERT INTO t2 VALUES(1,2);
        !           231:     SELECT a, sum(b) FROM t2 WHERE b=5 GROUP BY a;
        !           232:   }
        !           233: } {}
        !           234: do_test select3-7.2 {
        !           235:   execsql {
        !           236:     SELECT a, sum(b) FROM t2 WHERE b=5;
        !           237:   }
        !           238: } {{} {}}
        !           239: 
        !           240: # If a table column is of type REAL but we are storing integer values
        !           241: # in it, the values are stored as integers to take up less space.  The
        !           242: # values are converted by to REAL as they are read out of the table.
        !           243: # Make sure the GROUP BY clause does this conversion correctly.
        !           244: # Ticket #2251.
        !           245: #
        !           246: do_test select3-8.1 {
        !           247:   execsql {
        !           248:     CREATE TABLE A (
        !           249:       A1 DOUBLE,
        !           250:       A2 VARCHAR COLLATE NOCASE,
        !           251:       A3 DOUBLE
        !           252:     );
        !           253:     INSERT INTO A VALUES(39136,'ABC',1201900000);
        !           254:     INSERT INTO A VALUES(39136,'ABC',1207000000);
        !           255:     SELECT typeof(sum(a3)) FROM a;
        !           256:   }
        !           257: } {real}
        !           258: do_test select3-8.2 {
        !           259:   execsql {
        !           260:     SELECT typeof(sum(a3)) FROM a GROUP BY a1;
        !           261:   }
        !           262: } {real}
        !           263: 
        !           264: finish_test

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