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Merge with 4.0 to revert patch for BIGINT assignment to double

This commit is contained in:
monty@mysql.com
2003-11-21 00:17:46 +02:00
3 changed files with 15 additions and 13 deletions

View File

@@ -18,9 +18,11 @@ select -(0-3),round(-(0-3)), round(9999999999999999999);
-(0-3) round(-(0-3)) round(9999999999999999999)
3 3 10000000000000000000
create table t1 (a bigint unsigned not null, primary key(a));
insert into t1 values (18446744073709551615), (0xFFFFFFFFFFFFFFFE);
insert into t1 values (18446744073709551615), (0xFFFFFFFFFFFFFFFE), (18446744073709551613), (18446744073709551612);
select * from t1;
a
18446744073709551612
18446744073709551613
18446744073709551614
18446744073709551615
select * from t1 where a=18446744073709551615;
@@ -29,6 +31,8 @@ a
delete from t1 where a=18446744073709551615;
select * from t1;
a
18446744073709551612
18446744073709551613
18446744073709551614
drop table t1;
create table t1 ( a int not null default 1, big bigint );
@@ -72,9 +76,11 @@ id a
drop table t1;
CREATE TABLE t1 ( quantity decimal(60,0));
insert into t1 values (10000000000000000000);
insert into t1 values (10000000000000000000.0);
insert into t1 values ('10000000000000000000');
select * from t1;
quantity
-8446744073709551616
10000000000000000000
10000000000000000000
drop table t1;

View File

@@ -22,7 +22,7 @@ select -(0-3),round(-(0-3)), round(9999999999999999999);
#
create table t1 (a bigint unsigned not null, primary key(a));
insert into t1 values (18446744073709551615), (0xFFFFFFFFFFFFFFFE);
insert into t1 values (18446744073709551615), (0xFFFFFFFFFFFFFFFE), (18446744073709551613), (18446744073709551612);
select * from t1;
select * from t1 where a=18446744073709551615;
# select * from t1 where a='18446744073709551615';
@@ -58,10 +58,12 @@ drop table t1;
#
# Item_uint::save_to_field()
# BUG#1845
# This can't be fixed in MySQL 4.0 without loosing precisions for bigints
#
CREATE TABLE t1 ( quantity decimal(60,0));
insert into t1 values (10000000000000000000);
insert into t1 values (10000000000000000000.0);
insert into t1 values ('10000000000000000000');
select * from t1;
drop table t1;