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| author | bernard <[email protected]> | 2017-11-02 13:50:42 +0800 |
|---|---|---|
| committer | bernard <[email protected]> | 2017-11-02 13:50:42 +0800 |
| commit | b2057f506a09e2adef81fc77efd697d16ae14bec (patch) | |
| tree | 3affefabfe376a0ec1b3ac4a5eef957c1dd58dc8 /components/external/SQLite-3.8.1/test/select3.test | |
| parent | 23582c8129228b4961ad35319cfd2d270039345f (diff) | |
[External] Remove external from RT-Thread
Diffstat (limited to 'components/external/SQLite-3.8.1/test/select3.test')
| -rw-r--r-- | components/external/SQLite-3.8.1/test/select3.test | 264 |
1 files changed, 0 insertions, 264 deletions
diff --git a/components/external/SQLite-3.8.1/test/select3.test b/components/external/SQLite-3.8.1/test/select3.test deleted file mode 100644 index b5dbef5fb4..0000000000 --- a/components/external/SQLite-3.8.1/test/select3.test +++ /dev/null @@ -1,264 +0,0 @@ -# 2001 September 15 -# -# The author disclaims copyright to this source code. In place of -# a legal notice, here is a blessing: -# -# May you do good and not evil. -# May you find forgiveness for yourself and forgive others. -# May you share freely, never taking more than you give. -# -#*********************************************************************** -# This file implements regression tests for SQLite library. The -# focus of this file is testing aggregate functions and the -# GROUP BY and HAVING clauses of SELECT statements. -# -# $Id: select3.test,v 1.23 2008/01/16 18:20:42 danielk1977 Exp $ - -set testdir [file dirname $argv0] -source $testdir/tester.tcl - -# Build some test data -# -do_test select3-1.0 { - execsql { - CREATE TABLE t1(n int, log int); - BEGIN; - } - for {set i 1} {$i<32} {incr i} { - for {set j 0} {(1<<$j)<$i} {incr j} {} - execsql "INSERT INTO t1 VALUES($i,$j)" - } - execsql { - COMMIT - } - execsql {SELECT DISTINCT log FROM t1 ORDER BY log} -} {0 1 2 3 4 5} - -# Basic aggregate functions. -# -do_test select3-1.1 { - execsql {SELECT count(*) FROM t1} -} {31} -do_test select3-1.2 { - execsql { - SELECT min(n),min(log),max(n),max(log),sum(n),sum(log),avg(n),avg(log) - FROM t1 - } -} {1 0 31 5 496 124 16.0 4.0} -do_test select3-1.3 { - execsql {SELECT max(n)/avg(n), max(log)/avg(log) FROM t1} -} {1.9375 1.25} - -# Try some basic GROUP BY clauses -# -do_test select3-2.1 { - execsql {SELECT log, count(*) FROM t1 GROUP BY log ORDER BY log} -} {0 1 1 1 2 2 3 4 4 8 5 15} -do_test select3-2.2 { - execsql {SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log} -} {0 1 1 2 2 3 3 5 4 9 5 17} -do_test select3-2.3.1 { - execsql {SELECT log, avg(n) FROM t1 GROUP BY log ORDER BY log} -} {0 1.0 1 2.0 2 3.5 3 6.5 4 12.5 5 24.0} -do_test select3-2.3.2 { - execsql {SELECT log, avg(n)+1 FROM t1 GROUP BY log ORDER BY log} -} {0 2.0 1 3.0 2 4.5 3 7.5 4 13.5 5 25.0} -do_test select3-2.4 { - execsql {SELECT log, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log} -} {0 0.0 1 0.0 2 0.5 3 1.5 4 3.5 5 7.0} -do_test select3-2.5 { - execsql {SELECT log*2+1, avg(n)-min(n) FROM t1 GROUP BY log ORDER BY log} -} {1 0.0 3 0.0 5 0.5 7 1.5 9 3.5 11 7.0} -do_test select3-2.6 { - execsql { - SELECT log*2+1 as x, count(*) FROM t1 GROUP BY x ORDER BY x - } -} {1 1 3 1 5 2 7 4 9 8 11 15} -do_test select3-2.7 { - execsql { - SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY y, x - } -} {1 1 3 1 5 2 7 4 9 8 11 15} -do_test select3-2.8 { - execsql { - SELECT log*2+1 AS x, count(*) AS y FROM t1 GROUP BY x ORDER BY 10-(x+y) - } -} {11 15 9 8 7 4 5 2 3 1 1 1} -#do_test select3-2.9 { -# catchsql { -# SELECT log, count(*) FROM t1 GROUP BY 'x' ORDER BY log; -# } -#} {1 {GROUP BY terms must not be non-integer constants}} -do_test select3-2.10 { - catchsql { - SELECT log, count(*) FROM t1 GROUP BY 0 ORDER BY log; - } -} {1 {1st GROUP BY term out of range - should be between 1 and 2}} -do_test select3-2.11 { - catchsql { - SELECT log, count(*) FROM t1 GROUP BY 3 ORDER BY log; - } -} {1 {1st GROUP BY term out of range - should be between 1 and 2}} -do_test select3-2.12 { - catchsql { - SELECT log, count(*) FROM t1 GROUP BY 1 ORDER BY log; - } -} {0 {0 1 1 1 2 2 3 4 4 8 5 15}} - -# Cannot have an empty GROUP BY -do_test select3-2.13 { - catchsql { - SELECT log, count(*) FROM t1 GROUP BY ORDER BY log; - } -} {1 {near "ORDER": syntax error}} -do_test select3-2.14 { - catchsql { - SELECT log, count(*) FROM t1 GROUP BY; - } -} {1 {near ";": syntax error}} - -# Cannot have a HAVING without a GROUP BY -# -do_test select3-3.1 { - set v [catch {execsql {SELECT log, count(*) FROM t1 HAVING log>=4}} msg] - lappend v $msg -} {1 {a GROUP BY clause is required before HAVING}} - -# Toss in some HAVING clauses -# -do_test select3-4.1 { - execsql {SELECT log, count(*) FROM t1 GROUP BY log HAVING log>=4 ORDER BY log} -} {4 8 5 15} -do_test select3-4.2 { - execsql { - SELECT log, count(*) FROM t1 - GROUP BY log - HAVING count(*)>=4 - ORDER BY log - } -} {3 4 4 8 5 15} -do_test select3-4.3 { - execsql { - SELECT log, count(*) FROM t1 - GROUP BY log - HAVING count(*)>=4 - ORDER BY max(n)+0 - } -} {3 4 4 8 5 15} -do_test select3-4.4 { - execsql { - SELECT log AS x, count(*) AS y FROM t1 - GROUP BY x - HAVING y>=4 - ORDER BY max(n)+0 - } -} {3 4 4 8 5 15} -do_test select3-4.5 { - execsql { - SELECT log AS x FROM t1 - GROUP BY x - HAVING count(*)>=4 - ORDER BY max(n)+0 - } -} {3 4 5} - -do_test select3-5.1 { - execsql { - SELECT log, count(*), avg(n), max(n+log*2) FROM t1 - GROUP BY log - ORDER BY max(n+log*2)+0, avg(n)+0 - } -} {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} -do_test select3-5.2 { - execsql { - SELECT log, count(*), avg(n), max(n+log*2) FROM t1 - GROUP BY log - ORDER BY max(n+log*2)+0, min(log,avg(n))+0 - } -} {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} - -# Test sorting of GROUP BY results in the presence of an index -# on the GROUP BY column. -# -do_test select3-6.1 { - execsql { - SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log; - } -} {0 1 1 2 2 3 3 5 4 9 5 17} -do_test select3-6.2 { - execsql { - SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC; - } -} {5 17 4 9 3 5 2 3 1 2 0 1} -do_test select3-6.3 { - execsql { - SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1; - } -} {0 1 1 2 2 3 3 5 4 9 5 17} -do_test select3-6.4 { - execsql { - SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC; - } -} {5 17 4 9 3 5 2 3 1 2 0 1} -do_test select3-6.5 { - execsql { - CREATE INDEX i1 ON t1(log); - SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log; - } -} {0 1 1 2 2 3 3 5 4 9 5 17} -do_test select3-6.6 { - execsql { - SELECT log, min(n) FROM t1 GROUP BY log ORDER BY log DESC; - } -} {5 17 4 9 3 5 2 3 1 2 0 1} -do_test select3-6.7 { - execsql { - SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1; - } -} {0 1 1 2 2 3 3 5 4 9 5 17} -do_test select3-6.8 { - execsql { - SELECT log, min(n) FROM t1 GROUP BY log ORDER BY 1 DESC; - } -} {5 17 4 9 3 5 2 3 1 2 0 1} - -# Sometimes an aggregate query can return no rows at all. -# -do_test select3-7.1 { - execsql { - CREATE TABLE t2(a,b); - INSERT INTO t2 VALUES(1,2); - SELECT a, sum(b) FROM t2 WHERE b=5 GROUP BY a; - } -} {} -do_test select3-7.2 { - execsql { - SELECT a, sum(b) FROM t2 WHERE b=5; - } -} {{} {}} - -# If a table column is of type REAL but we are storing integer values -# in it, the values are stored as integers to take up less space. The -# values are converted by to REAL as they are read out of the table. -# Make sure the GROUP BY clause does this conversion correctly. -# Ticket #2251. -# -do_test select3-8.1 { - execsql { - CREATE TABLE A ( - A1 DOUBLE, - A2 VARCHAR COLLATE NOCASE, - A3 DOUBLE - ); - INSERT INTO A VALUES(39136,'ABC',1201900000); - INSERT INTO A VALUES(39136,'ABC',1207000000); - SELECT typeof(sum(a3)) FROM a; - } -} {real} -do_test select3-8.2 { - execsql { - SELECT typeof(sum(a3)) FROM a GROUP BY a1; - } -} {real} - -finish_test |
