1
0

select3.test 6.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264
  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. set testdir [file dirname $argv0]
  17. source $testdir/tester.tcl
  18. # Build some test data
  19. #
  20. do_test select3-1.0 {
  21. execsql {
  22. CREATE TABLE t1(n int, log int);
  23. BEGIN;
  24. }
  25. for {set i 1} {$i<32} {incr i} {
  26. for {set j 0} {(1<<$j)<$i} {incr j} {}
  27. execsql "INSERT INTO t1 VALUES($i,$j)"
  28. }
  29. execsql {
  30. COMMIT
  31. }
  32. execsql {SELECT DISTINCT log FROM t1 ORDER BY log}
  33. } {0 1 2 3 4 5}
  34. # Basic aggregate functions.
  35. #
  36. do_test select3-1.1 {
  37. execsql {SELECT count(*) FROM t1}
  38. } {31}
  39. do_test select3-1.2 {
  40. execsql {
  41. SELECT min(n),min(log),max(n),max(log),sum(n),sum(log),avg(n),avg(log)
  42. FROM t1
  43. }
  44. } {1 0 31 5 496 124 16.0 4.0}
  45. do_test select3-1.3 {
  46. execsql {SELECT max(n)/avg(n), max(log)/avg(log) FROM t1}
  47. } {1.9375 1.25}
  48. # Try some basic GROUP BY clauses
  49. #
  50. do_test select3-2.1 {
  51. execsql {SELECT log, count(*) FROM t1 GROUP BY log ORDER BY log}
  52. } {0 1 1 1 2 2 3 4 4 8 5 15}
  53. do_test select3-2.2 {
  54. execsql {SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log}
  55. } {0 1 1 2 2 3 3 5 4 9 5 17}
  56. do_test select3-2.3.1 {
  57. execsql {SELECT log, avg(n) FROM t1 GROUP BY log ORDER BY log}
  58. } {0 1.0 1 2.0 2 3.5 3 6.5 4 12.5 5 24.0}
  59. do_test select3-2.3.2 {
  60. execsql {SELECT log, avg(n)+1 FROM t1 GROUP BY log ORDER BY log}
  61. } {0 2.0 1 3.0 2 4.5 3 7.5 4 13.5 5 25.0}
  62. do_test select3-2.4 {
  63. execsql {SELECT log, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log}
  64. } {0 0.0 1 0.0 2 0.5 3 1.5 4 3.5 5 7.0}
  65. do_test select3-2.5 {
  66. execsql {SELECT log*2+1, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log}
  67. } {1 0.0 3 0.0 5 0.5 7 1.5 9 3.5 11 7.0}
  68. do_test select3-2.6 {
  69. execsql {
  70. SELECT log*2+1 as x, count(*) FROM t1 GROUP BY x ORDER BY x
  71. }
  72. } {1 1 3 1 5 2 7 4 9 8 11 15}
  73. do_test select3-2.7 {
  74. execsql {
  75. SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY y, x
  76. }
  77. } {1 1 3 1 5 2 7 4 9 8 11 15}
  78. do_test select3-2.8 {
  79. execsql {
  80. SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY 10-(x+y)
  81. }
  82. } {11 15 9 8 7 4 5 2 3 1 1 1}
  83. #do_test select3-2.9 {
  84. # catchsql {
  85. # SELECT log, count(*) FROM t1 GROUP BY 'x' ORDER BY log;
  86. # }
  87. #} {1 {GROUP BY terms must not be non-integer constants}}
  88. do_test select3-2.10 {
  89. catchsql {
  90. SELECT log, count(*) FROM t1 GROUP BY 0 ORDER BY log;
  91. }
  92. } {1 {1st GROUP BY term out of range - should be between 1 and 2}}
  93. do_test select3-2.11 {
  94. catchsql {
  95. SELECT log, count(*) FROM t1 GROUP BY 3 ORDER BY log;
  96. }
  97. } {1 {1st GROUP BY term out of range - should be between 1 and 2}}
  98. do_test select3-2.12 {
  99. catchsql {
  100. SELECT log, count(*) FROM t1 GROUP BY 1 ORDER BY log;
  101. }
  102. } {0 {0 1 1 1 2 2 3 4 4 8 5 15}}
  103. # Cannot have an empty GROUP BY
  104. do_test select3-2.13 {
  105. catchsql {
  106. SELECT log, count(*) FROM t1 GROUP BY ORDER BY log;
  107. }
  108. } {1 {near "ORDER": syntax error}}
  109. do_test select3-2.14 {
  110. catchsql {
  111. SELECT log, count(*) FROM t1 GROUP BY;
  112. }
  113. } {1 {near ";": syntax error}}
  114. # Cannot have a HAVING without a GROUP BY
  115. #
  116. do_test select3-3.1 {
  117. set v [catch {execsql {SELECT log, count(*) FROM t1 HAVING log>=4}} msg]
  118. lappend v $msg
  119. } {1 {a GROUP BY clause is required before HAVING}}
  120. # Toss in some HAVING clauses
  121. #
  122. do_test select3-4.1 {
  123. execsql {SELECT log, count(*) FROM t1 GROUP BY log HAVING log>=4 ORDER BY log}
  124. } {4 8 5 15}
  125. do_test select3-4.2 {
  126. execsql {
  127. SELECT log, count(*) FROM t1
  128. GROUP BY log
  129. HAVING count(*)>=4
  130. ORDER BY log
  131. }
  132. } {3 4 4 8 5 15}
  133. do_test select3-4.3 {
  134. execsql {
  135. SELECT log, count(*) FROM t1
  136. GROUP BY log
  137. HAVING count(*)>=4
  138. ORDER BY max(n)+0
  139. }
  140. } {3 4 4 8 5 15}
  141. do_test select3-4.4 {
  142. execsql {
  143. SELECT log AS x, count(*) AS y FROM t1
  144. GROUP BY x
  145. HAVING y>=4
  146. ORDER BY max(n)+0
  147. }
  148. } {3 4 4 8 5 15}
  149. do_test select3-4.5 {
  150. execsql {
  151. SELECT log AS x FROM t1
  152. GROUP BY x
  153. HAVING count(*)>=4
  154. ORDER BY max(n)+0
  155. }
  156. } {3 4 5}
  157. do_test select3-5.1 {
  158. execsql {
  159. SELECT log, count(*), avg(n), max(n+log*2) FROM t1
  160. GROUP BY log
  161. ORDER BY max(n+log*2)+0, avg(n)+0
  162. }
  163. } {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}
  164. do_test select3-5.2 {
  165. execsql {
  166. SELECT log, count(*), avg(n), max(n+log*2) FROM t1
  167. GROUP BY log
  168. ORDER BY max(n+log*2)+0, min(log,avg(n))+0
  169. }
  170. } {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}
  171. # Test sorting of GROUP BY results in the presence of an index
  172. # on the GROUP BY column.
  173. #
  174. do_test select3-6.1 {
  175. execsql {
  176. SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log;
  177. }
  178. } {0 1 1 2 2 3 3 5 4 9 5 17}
  179. do_test select3-6.2 {
  180. execsql {
  181. SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC;
  182. }
  183. } {5 17 4 9 3 5 2 3 1 2 0 1}
  184. do_test select3-6.3 {
  185. execsql {
  186. SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1;
  187. }
  188. } {0 1 1 2 2 3 3 5 4 9 5 17}
  189. do_test select3-6.4 {
  190. execsql {
  191. SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC;
  192. }
  193. } {5 17 4 9 3 5 2 3 1 2 0 1}
  194. do_test select3-6.5 {
  195. execsql {
  196. CREATE INDEX i1 ON t1(log);
  197. SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log;
  198. }
  199. } {0 1 1 2 2 3 3 5 4 9 5 17}
  200. do_test select3-6.6 {
  201. execsql {
  202. SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC;
  203. }
  204. } {5 17 4 9 3 5 2 3 1 2 0 1}
  205. do_test select3-6.7 {
  206. execsql {
  207. SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1;
  208. }
  209. } {0 1 1 2 2 3 3 5 4 9 5 17}
  210. do_test select3-6.8 {
  211. execsql {
  212. SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC;
  213. }
  214. } {5 17 4 9 3 5 2 3 1 2 0 1}
  215. # Sometimes an aggregate query can return no rows at all.
  216. #
  217. do_test select3-7.1 {
  218. execsql {
  219. CREATE TABLE t2(a,b);
  220. INSERT INTO t2 VALUES(1,2);
  221. SELECT a, sum(b) FROM t2 WHERE b=5 GROUP BY a;
  222. }
  223. } {}
  224. do_test select3-7.2 {
  225. execsql {
  226. SELECT a, sum(b) FROM t2 WHERE b=5;
  227. }
  228. } {{} {}}
  229. # If a table column is of type REAL but we are storing integer values
  230. # in it, the values are stored as integers to take up less space. The
  231. # values are converted by to REAL as they are read out of the table.
  232. # Make sure the GROUP BY clause does this conversion correctly.
  233. # Ticket #2251.
  234. #
  235. do_test select3-8.1 {
  236. execsql {
  237. CREATE TABLE A (
  238. A1 DOUBLE,
  239. A2 VARCHAR COLLATE NOCASE,
  240. A3 DOUBLE
  241. );
  242. INSERT INTO A VALUES(39136,'ABC',1201900000);
  243. INSERT INTO A VALUES(39136,'ABC',1207000000);
  244. SELECT typeof(sum(a3)) FROM a;
  245. }
  246. } {real}
  247. do_test select3-8.2 {
  248. execsql {
  249. SELECT typeof(sum(a3)) FROM a GROUP BY a1;
  250. }
  251. } {real}
  252. finish_test