Add //third_party/sqlite to dirs_to_snapshot, remove net_sql.patch

third_party/sqlite/sqlite-src-3080704/test/select3.test

Index: third_party/sqlite/sqlite-src-3080704/test/select3.test
diff --git a/third_party/sqlite/sqlite-src-3080704/test/select3.test b/third_party/sqlite/sqlite-src-3080704/test/select3.test
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index 0000000000000000000000000000000000000000..b5dbef5fb44cef397ef4fa1d84ef076650afd0fa
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+# 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