mariadb/mysql-test/r/ndb_trigger.result
dlenev@mysql.com d4450e6696 Fix for bug#18437 "Wrong values inserted with a before update trigger on
NDB table".

SQL-layer was not marking fields which were used in triggers as such. As
result these fields were not always properly retrieved/stored by handler
layer. So one might got wrong values or lost changes in triggers for NDB,
Federated and possibly InnoDB tables.
This fix solves the problem by marking fields used in triggers
appropriately.

Also this patch contains the following cleanup of ha_ndbcluster code:

We no longer rely on reading LEX::sql_command value in handler in order
to determine if we can enable optimization which allows us to handle REPLACE
statement in more efficient way by doing replaces directly in write_row()
method without reporting error to SQL-layer.
Instead we rely on SQL-layer informing us whether this optimization
applicable by calling handler::extra() method with
HA_EXTRA_WRITE_CAN_REPLACE flag.
As result we no longer apply this optimzation in cases when it should not
be used (e.g. if we have on delete triggers on table) and use in some
additional cases when it is applicable (e.g. for LOAD DATA REPLACE).

Finally this patch includes fix for bug#20728 "REPLACE does not work
correctly for NDB table with PK and unique index".
  
This was yet another problem which was caused by improper field mark-up.
During row replacement fields which weren't explicity used in REPLACE
statement were not marked as fields to be saved (updated) so they have
retained values from old row version. The fix is to mark all table
fields as set for REPLACE statement. Note that in 5.1 we already solve
this problem by notifying handler that it should save values from all
fields only in case when real replacement happens.
2006-07-02 01:51:10 +04:00

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Text

drop table if exists t1, t2, t3;
create table t1 (id int primary key, a int not null, b decimal (63,30) default 0) engine=ndb;
create table t2 (op char(1), a int not null, b decimal (63,30));
create table t3 select 1 as i;
create trigger t1_bu before update on t1 for each row
begin
insert into t2 values ("u", old.a, old.b);
set new.b = old.b + 10;
end;//
create trigger t1_bd before delete on t1 for each row
begin
insert into t2 values ("d", old.a, old.b);
end;//
insert into t1 values (1, 1, 1.05), (2, 2, 2.05), (3, 3, 3.05), (4, 4, 4.05);
update t1 set a=5 where a != 3;
select * from t1 order by id;
id a b
1 5 11.050000000000000000000000000000
2 5 12.050000000000000000000000000000
3 3 3.050000000000000000000000000000
4 5 14.050000000000000000000000000000
select * from t2 order by op, a, b;
op a b
u 1 1.050000000000000000000000000000
u 2 2.050000000000000000000000000000
u 4 4.050000000000000000000000000000
delete from t2;
update t1, t3 set a=6 where a = 5;
select * from t1 order by id;
id a b
1 6 21.050000000000000000000000000000
2 6 22.050000000000000000000000000000
3 3 3.050000000000000000000000000000
4 6 24.050000000000000000000000000000
select * from t2 order by op, a, b;
op a b
u 5 11.050000000000000000000000000000
u 5 12.050000000000000000000000000000
u 5 14.050000000000000000000000000000
delete from t2;
delete from t1 where a != 3;
select * from t1 order by id;
id a b
3 3 3.050000000000000000000000000000
select * from t2 order by op, a, b;
op a b
d 6 21.050000000000000000000000000000
d 6 22.050000000000000000000000000000
d 6 24.050000000000000000000000000000
delete from t2;
insert into t1 values (1, 1, 1.05), (2, 2, 2.05), (4, 4, 4.05);
delete t1 from t1, t3 where a != 3;
select * from t1 order by id;
id a b
3 3 3.050000000000000000000000000000
select * from t2 order by op, a, b;
op a b
d 1 1.050000000000000000000000000000
d 2 2.050000000000000000000000000000
d 4 4.050000000000000000000000000000
delete from t2;
insert into t1 values (4, 4, 4.05);
insert into t1 (id, a) values (4, 1), (3, 1) on duplicate key update a= a + 1;
select * from t1 order by id;
id a b
3 4 13.050000000000000000000000000000
4 5 14.050000000000000000000000000000
select * from t2 order by op, a, b;
op a b
u 3 3.050000000000000000000000000000
u 4 4.050000000000000000000000000000
delete from t2;
delete from t3;
insert into t3 values (4), (3);
insert into t1 (id, a) (select i, 1 from t3) on duplicate key update a= a + 1;
select * from t1 order by id;
id a b
3 5 23.050000000000000000000000000000
4 6 24.050000000000000000000000000000
select * from t2 order by op, a, b;
op a b
u 4 13.050000000000000000000000000000
u 5 14.050000000000000000000000000000
delete from t2;
replace into t1 (id, a) values (4, 1), (3, 1);
select * from t1 order by id;
id a b
3 1 0.000000000000000000000000000000
4 1 0.000000000000000000000000000000
select * from t2 order by op, a, b;
op a b
d 5 23.050000000000000000000000000000
d 6 24.050000000000000000000000000000
delete from t1;
delete from t2;
insert into t1 values (3, 1, 1.05), (4, 1, 2.05);
replace into t1 (id, a) (select i, 2 from t3);
select * from t1 order by id;
id a b
3 2 0.000000000000000000000000000000
4 2 0.000000000000000000000000000000
select * from t2 order by op, a, b;
op a b
d 1 1.050000000000000000000000000000
d 1 2.050000000000000000000000000000
delete from t1;
delete from t2;
insert into t1 values (3, 1, 1.05), (5, 2, 2.05);
load data infile '../std_data_ln/loaddata5.dat' replace into table t1 fields terminated by '' enclosed by '' ignore 1 lines (id, a);
select * from t1 order by id;
id a b
3 4 0.000000000000000000000000000000
5 6 0.000000000000000000000000000000
select * from t2 order by op, a, b;
op a b
d 1 1.050000000000000000000000000000
d 2 2.050000000000000000000000000000
drop tables t1, t2, t3;
End of 5.0 tests