# 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