xref: /sqlite-3.40.0/test/select3.test (revision 68d2e591) 
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 1.6 2002/08/04 00:52:38 drh Exp $
16
17set testdir [file dirname $argv0]
18source $testdir/tester.tcl
19
20# Build some test data
21#
22do_test select3-1.0 {
23  set fd [open data1.txt w]
24  for {set i 1} {$i<32} {incr i} {
25    for {set j 0} {pow(2,$j)<$i} {incr j} {}
26    puts $fd "$i\t$j"
27  }
28  close $fd
29  execsql {
30    CREATE TABLE t1(n int, log int);
31    COPY t1 FROM 'data1.txt'
32  }
33  file delete data1.txt
34  execsql {SELECT DISTINCT log FROM t1 ORDER BY log}
35} {0 1 2 3 4 5}
36
37# Basic aggregate functions.
38#
39do_test select3-1.1 {
40  execsql {SELECT count(*) FROM t1}
41} {31}
42do_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 4}
48do_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#
54do_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}
57do_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}
60do_test select3-2.3 {
61  execsql {SELECT log, avg(n) FROM t1 GROUP BY log ORDER BY log}
62} {0 1 1 2 2 3.5 3 6.5 4 12.5 5 24}
63do_test select3-2.3 {
64  execsql {SELECT log, avg(n)+1 FROM t1 GROUP BY log ORDER BY log}
65} {0 2 1 3 2 4.5 3 7.5 4 13.5 5 25}
66do_test select3-2.4 {
67  execsql {SELECT log, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log}
68} {0 0 1 0 2 0.5 3 1.5 4 3.5 5 7}
69do_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 3 0 5 0.5 7 1.5 9 3.5 11 7}
72do_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}
77do_test select3-2.7 {
78  execsql {
79    SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY y
80  }
81} {1 1 3 1 5 2 7 4 9 8 11 15}
82do_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}
87do_test select3-2.9 {
88  catchsql {
89    SELECT log, count(*) FROM t1 GROUP BY 8 ORDER BY log;
90  }
91} {1 {GROUP BY expressions should not be constant}}
92
93# Cannot have a HAVING without a GROUP BY
94#
95do_test select3-3.1 {
96  set v [catch {execsql {SELECT log, count(*) FROM t1 HAVING log>=4}} msg]
97  lappend v $msg
98} {1 {a GROUP BY clause is required before HAVING}}
99
100# Toss in some HAVING clauses
101#
102do_test select3-4.1 {
103  execsql {SELECT log, count(*) FROM t1 GROUP BY log HAVING log>=4 ORDER BY log}
104} {4 8 5 15}
105do_test select3-4.2 {
106  execsql {
107    SELECT log, count(*) FROM t1
108    GROUP BY log
109    HAVING count(*)>=4
110    ORDER BY log
111  }
112} {3 4 4 8 5 15}
113do_test select3-4.3 {
114  execsql {
115    SELECT log, count(*) FROM t1
116    GROUP BY log
117    HAVING count(*)>=4
118    ORDER BY max(n)
119  }
120} {3 4 4 8 5 15}
121do_test select3-4.4 {
122  execsql {
123    SELECT log AS x, count(*) AS y FROM t1
124    GROUP BY x
125    HAVING y>=4
126    ORDER BY max(n)
127  }
128} {3 4 4 8 5 15}
129
130do_test select3-5.1 {
131  execsql {
132    SELECT log, count(*), avg(n), max(n+log*2) FROM t1
133    GROUP BY log
134    ORDER BY max(n+log*2), avg(n)
135  }
136} {0 1 1 1 1 1 2 4 2 2 3.5 8 3 4 6.5 14 4 8 12.5 24 5 15 24 41}
137do_test select3-5.2 {
138  execsql {
139    SELECT log, count(*), avg(n), max(n+log*2) FROM t1
140    GROUP BY log
141    ORDER BY max(n+log*2), min(log,avg(n))
142  }
143} {0 1 1 1 1 1 2 4 2 2 3.5 8 3 4 6.5 14 4 8 12.5 24 5 15 24 41}
144
145# Test sorting of GROUP BY results in the presence of an index
146# on the GROUP BY column.
147#
148do_test select3-6.1 {
149  execsql {
150    SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log;
151  }
152} {0 1 1 2 2 3 3 5 4 9 5 17}
153do_test select3-6.2 {
154  execsql {
155    SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC;
156  }
157} {5 17 4 9 3 5 2 3 1 2 0 1}
158do_test select3-6.3 {
159  execsql {
160    SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1;
161  }
162} {0 1 1 2 2 3 3 5 4 9 5 17}
163do_test select3-6.4 {
164  execsql {
165    SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC;
166  }
167} {5 17 4 9 3 5 2 3 1 2 0 1}
168do_test select3-6.5 {
169  execsql {
170    CREATE INDEX i1 ON t1(log);
171    SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log;
172  }
173} {0 1 1 2 2 3 3 5 4 9 5 17}
174do_test select3-6.6 {
175  execsql {
176    SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC;
177  }
178} {5 17 4 9 3 5 2 3 1 2 0 1}
179do_test select3-6.7 {
180  execsql {
181    SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1;
182  }
183} {0 1 1 2 2 3 3 5 4 9 5 17}
184do_test select3-6.8 {
185  execsql {
186    SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC;
187  }
188} {5 17 4 9 3 5 2 3 1 2 0 1}
189
190
191
192finish_test
193