wasCSharpSQLite – Blame information for rev 4

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1 office 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