3 # The author disclaims copyright to this source code. In place of
4 # a legal notice, here is a blessing:
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.
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.
15 # $Id: select3.test,v 1.13 2005/04/01 10:47:40 drh Exp $
17 set testdir [file dirname $argv0]
18 source $testdir/tester.tcl
20 # Build some test data
24 CREATE TABLE t1(n int, log int);
27 for {set i 1} {$i<32} {incr i} {
28 for {set j 0} {pow(2,$j)<$i} {incr j} {}
29 execsql "INSERT INTO t1 VALUES($i,$j)"
34 execsql {SELECT DISTINCT log FROM t1 ORDER BY log}
37 # Basic aggregate functions.
40 execsql {SELECT count(*) FROM t1}
44 SELECT min(n),min(log),max(n),max(log),sum(n),sum(log),avg(n),avg(log)
47 } {1 0 31 5 496.0 124.0 16.0 4.0}
49 execsql {SELECT max(n)/avg(n), max(log)/avg(log) FROM t1}
52 # Try some basic GROUP BY clauses
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}
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}
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}
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}
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}
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}
74 SELECT log*2+1 as x, count(*) FROM t1 GROUP BY x ORDER BY x
76 } {1 1 3 1 5 2 7 4 9 8 11 15}
79 SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY y, x
81 } {1 1 3 1 5 2 7 4 9 8 11 15}
84 SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY 10-(x+y)
86 } {11 15 9 8 7 4 5 2 3 1 1 1}
89 SELECT log, count(*) FROM t1 GROUP BY 'x' ORDER BY log;
91 } {1 {GROUP BY terms must not be non-integer constants}}
92 do_test select3-2.10 {
94 SELECT log, count(*) FROM t1 GROUP BY 0 ORDER BY log;
96 } {1 {GROUP BY column number 0 out of range - should be between 1 and 2}}
97 do_test select3-2.11 {
99 SELECT log, count(*) FROM t1 GROUP BY 3 ORDER BY log;
101 } {1 {GROUP BY column number 3 out of range - should be between 1 and 2}}
102 do_test select3-2.12 {
104 SELECT log, count(*) FROM t1 GROUP BY 1 ORDER BY log;
106 } {0 {0 1 1 1 2 2 3 4 4 8 5 15}}
107 #do_test select3-2.13 {
109 # SELECT log, count(*) FROM t1 GROUP BY 2 ORDER BY log;
111 #} {0 {0 1 1 1 2 2 3 4 4 8 5 15}}
112 #do_test select3-2.14 {
114 # SELECT log, count(*) FROM t1 GROUP BY count(*) ORDER BY log;
116 #} {0 {0 1 1 1 2 2 3 4 4 8 5 15}}
118 # Cannot have a HAVING without a GROUP BY
120 do_test select3-3.1 {
121 set v [catch {execsql {SELECT log, count(*) FROM t1 HAVING log>=4}} msg]
123 } {1 {a GROUP BY clause is required before HAVING}}
125 # Toss in some HAVING clauses
127 do_test select3-4.1 {
128 execsql {SELECT log, count(*) FROM t1 GROUP BY log HAVING log>=4 ORDER BY log}
130 do_test select3-4.2 {
132 SELECT log, count(*) FROM t1
138 do_test select3-4.3 {
140 SELECT log, count(*) FROM t1
146 do_test select3-4.4 {
148 SELECT log AS x, count(*) AS y FROM t1
154 do_test select3-4.5 {
156 SELECT log AS x FROM t1
163 do_test select3-5.1 {
165 SELECT log, count(*), avg(n), max(n+log*2) FROM t1
167 ORDER BY max(n+log*2)+0, avg(n)+0
169 } {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}
170 do_test select3-5.2 {
172 SELECT log, count(*), avg(n), max(n+log*2) FROM t1
174 ORDER BY max(n+log*2)+0, min(log,avg(n))+0
176 } {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}
178 # Test sorting of GROUP BY results in the presence of an index
179 # on the GROUP BY column.
181 do_test select3-6.1 {
183 SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log;
185 } {0 1 1 2 2 3 3 5 4 9 5 17}
186 do_test select3-6.2 {
188 SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC;
190 } {5 17 4 9 3 5 2 3 1 2 0 1}
191 do_test select3-6.3 {
193 SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1;
195 } {0 1 1 2 2 3 3 5 4 9 5 17}
196 do_test select3-6.4 {
198 SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC;
200 } {5 17 4 9 3 5 2 3 1 2 0 1}
201 do_test select3-6.5 {
203 CREATE INDEX i1 ON t1(log);
204 SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log;
206 } {0 1 1 2 2 3 3 5 4 9 5 17}
207 do_test select3-6.6 {
209 SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC;
211 } {5 17 4 9 3 5 2 3 1 2 0 1}
212 do_test select3-6.7 {
214 SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1;
216 } {0 1 1 2 2 3 3 5 4 9 5 17}
217 do_test select3-6.8 {
219 SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC;
221 } {5 17 4 9 3 5 2 3 1 2 0 1}