1# Copyright (c) 1999, 2000 D. Richard Hipp 2# 3# This program is free software; you can redistribute it and/or 4# modify it under the terms of the GNU General Public 5# License as published by the Free Software Foundation; either 6# version 2 of the License, or (at your option) any later version. 7# 8# This program is distributed in the hope that it will be useful, 9# but WITHOUT ANY WARRANTY; without even the implied warranty of 10# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 11# General Public License for more details. 12# 13# You should have received a copy of the GNU General Public 14# License along with this library; if not, write to the 15# Free Software Foundation, Inc., 59 Temple Place - Suite 330, 16# Boston, MA 02111-1307, USA. 17# 18# Author contact information: 19# [email protected] 20# http://www.hwaci.com/drh/ 21# 22#*********************************************************************** 23# This file implements regression tests for SQLite library. The 24# focus of this file is testing aggregate functions and the 25# GROUP BY and HAVING clauses of SELECT statements. 26# 27# $Id: select3.test,v 1.2 2000/06/08 15:10:48 drh Exp $ 28 29set testdir [file dirname $argv0] 30source $testdir/tester.tcl 31 32# Build some test data 33# 34do_test select3-1.0 { 35 set fd [open data1.txt w] 36 for {set i 1} {$i<32} {incr i} { 37 for {set j 0} {pow(2,$j)<$i} {incr j} {} 38 puts $fd "$i\t$j" 39 } 40 close $fd 41 execsql { 42 CREATE TABLE t1(n int, log int); 43 COPY t1 FROM 'data1.txt' 44 } 45 file delete data1.txt 46 execsql {SELECT DISTINCT log FROM t1 ORDER BY log} 47} {0 1 2 3 4 5} 48 49# Basic aggregate functions. 50# 51do_test select3-1.1 { 52 execsql {SELECT count(*) FROM t1} 53} {31} 54do_test select3-1.2 { 55 execsql { 56 SELECT min(n),min(log),max(n),max(log),sum(n),sum(log),avg(n),avg(log) 57 FROM t1 58 } 59} {1 0 31 5 496 124 16 4} 60do_test select3-1.3 { 61 execsql {SELECT max(n)/avg(n), max(log)/avg(log) FROM t1} 62} {1.9375 1.25} 63 64# Try some basic GROUP BY clauses 65# 66do_test select3-2.1 { 67 execsql {SELECT log, count(*) FROM t1 GROUP BY log ORDER BY log} 68} {0 1 1 1 2 2 3 4 4 8 5 15} 69do_test select3-2.2 { 70 execsql {SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log} 71} {0 1 1 2 2 3 3 5 4 9 5 17} 72do_test select3-2.3 { 73 execsql {SELECT log, avg(n) FROM t1 GROUP BY log ORDER BY log} 74} {0 1 1 2 2 3.5 3 6.5 4 12.5 5 24} 75do_test select3-2.3 { 76 execsql {SELECT log, avg(n)+1 FROM t1 GROUP BY log ORDER BY log} 77} {0 2 1 3 2 4.5 3 7.5 4 13.5 5 25} 78do_test select3-2.4 { 79 execsql {SELECT log, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log} 80} {0 0 1 0 2 0.5 3 1.5 4 3.5 5 7} 81do_test select3-2.5 { 82 execsql {SELECT log*2+1, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log} 83} {1 0 3 0 5 0.5 7 1.5 9 3.5 11 7} 84 85# Cannot have a HAVING without a GROUP BY 86# 87do_test select3-3.1 { 88 set v [catch {execsql {SELECT log, count(*) FROM t1 HAVING log>=4}} msg] 89 lappend v $msg 90} {1 {a GROUP BY clause is required before HAVING}} 91 92# Toss in some HAVING clauses 93# 94do_test select3-4.1 { 95 execsql {SELECT log, count(*) FROM t1 GROUP BY log HAVING log>=4 ORDER BY log} 96} {4 8 5 15} 97do_test select3-4.2 { 98 execsql { 99 SELECT log, count(*) FROM t1 100 GROUP BY log 101 HAVING count(*)>=4 102 ORDER BY log 103 } 104} {3 4 4 8 5 15} 105do_test select3-4.3 { 106 execsql { 107 SELECT log, count(*) FROM t1 108 GROUP BY log 109 HAVING count(*)>=4 110 ORDER BY max(n) 111 } 112} {3 4 4 8 5 15} 113 114do_test select3-5.1 { 115 execsql { 116 SELECT log, count(*), avg(n), max(n+log*2) FROM t1 117 GROUP BY log 118 ORDER BY max(n+log*2), avg(n) 119 } 120} {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} 121do_test select3-5.2 { 122 execsql { 123 SELECT log, count(*), avg(n), max(n+log*2) FROM t1 124 GROUP BY log 125 ORDER BY max(n+log*2), min(log,avg(n)) 126 } 127} {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} 128 129finish_test 130