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      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
    265