Annotation of embedaddon/sqlite3/test/select3.test, revision 1.1.1.1
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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