SET STORAGE_ENGINE = 'tokudb';
DROP TABLE IF EXISTS foo;
set session tokudb_prelock_empty=0;
create table foo (a int, b int, c int, d int, primary key (a), key (b), clustering key (c));
insert into foo values (1,100,1000,1),(2,20,200,2),(3,300,30,3),(4,4,4,4);
select * from foo;
a	b	c	d
1	100	1000	1
2	20	200	2
3	300	30	3
4	4	4	4
explain select b,a from foo;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	foo	index	NULL	b	5	NULL	4	Using index
select b,a from foo;
b	a
4	4
20	2
100	1
300	3
select * from foo where c > 0;
a	b	c	d
4	4	4	4
3	300	30	3
2	20	200	2
1	100	1000	1
#
# only val of primary dictionary and clustering dictionary changes
#
update foo set d=d+100;
select * from foo;
a	b	c	d
1	100	1000	101
2	20	200	102
3	300	30	103
4	4	4	104
explain select b,a from foo;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	foo	index	NULL	b	5	NULL	4	Using index
select b,a from foo;
b	a
4	4
20	2
100	1
300	3
select * from foo where c > 0;
a	b	c	d
4	4	4	104
3	300	30	103
2	20	200	102
1	100	1000	101
#
# secondary key changes
#
update foo set b=b+1;
select * from foo;
a	b	c	d
1	101	1000	101
2	21	200	102
3	301	30	103
4	5	4	104
explain select b,a from foo;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	foo	index	NULL	b	5	NULL	4	Using index
select b,a from foo;
b	a
5	4
21	2
101	1
301	3
select * from foo where c > 0;
a	b	c	d
4	5	4	104
3	301	30	103
2	21	200	102
1	101	1000	101
#
# clustering key changes
#
update foo set c=c*10;
select * from foo;
a	b	c	d
1	101	10000	101
2	21	2000	102
3	301	300	103
4	5	40	104
explain select b,a from foo;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	foo	index	NULL	b	5	NULL	4	Using index
select b,a from foo;
b	a
5	4
21	2
101	1
301	3
select * from foo where c > 0;
a	b	c	d
4	5	40	104
3	301	300	103
2	21	2000	102
1	101	10000	101
drop table foo;
#
# test updates on single dictionary
# Two cases: pk changes, pk does not change
#
create table foo (a int, b int, primary key (a));
insert into foo values (1,10),(2,20),(3,30);
select * from foo;
a	b
1	10
2	20
3	30
update foo set b=b*10;
select * from foo;
a	b
1	100
2	200
3	300
update foo set a=a+10;
select * From foo;
a	b
11	100
12	200
13	300
drop table foo;
#
# test pk uniqueness check during updates
# Two cases: have one dict, have more than one dict
#
create table foo (a int, b int, c int, primary key (a));
insert into foo values (1,10,100),(2,20,200),(3,30,300);
update foo set a=3 where a=1;
ERROR 23000: Duplicate entry '3' for key 'PRIMARY'
select * from foo;
a	b	c
1	10	100
2	20	200
3	30	300
alter table foo add clustering key (c);
update foo set a=3 where a=1;
ERROR 23000: Duplicate entry '3' for key 'PRIMARY'
drop table foo;
#
# test secondary key uniqueness
#
create table foo (a int, b int, c int, primary key (a), unique key (b));
insert into foo values (1,10,100),(2,20,200),(3,30,300);
update foo set b=20 where b=10;
ERROR 23000: Duplicate entry '20' for key 'b'
update foo set c=c*100;
select * from foo;
a	b	c
1	10	10000
2	20	20000
3	30	30000
DROP TABLE foo;