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|
create table ab(a1 int, a2 int, a3 int, a4 int, a5 int, primary key(a2,a5)) engine = ndb;
create table ba(ks int primary key, st int, lp int) engine = ndb;
create table cpk(nonchar int, charone varchar(100), chartwo varchar(100),
other int,
primary key (nonchar, charone, chartwo)) engine=ndb;
insert into ab values (1,1,1,1,1), (2,2,2,2,2), (3,3,3,3,3), (4,4,4,4,4);
update ab set a3=111 where a2=1;
update ab set a1=222, a4=222 where a2=2;
insert into ba values (1, 1, 1), (2,2,2), (3,3,3), (4,4,4);
update ba set lp=40 where ks=4;
delete from ba where ks=2;
insert into cpk values(1, "ABCD", "WXYZ", 100);
insert into cpk values(2, "ABCD", "WXYZ", 100);
insert into cpk values(3, "ABCD", "WXYZ", 100);
insert into cpk values(4, "ABCD", "WXYZ", 100);
insert into cpk values(5, "ABCD", "WXYZ", 100);
insert into cpk values(6, "ABCD", "WXYZ", 100);
Change one char key
update cpk set charone="abcd" where charone="ABCD" and nonchar=1 and chartwo="WXYZ";
Change other char key
update cpk set chartwo="wxyz" where charone="ABCD" and nonchar=2 and chartwo="WXYZ";
Change both char keys
update cpk set charone="abcd", chartwo="wxyz" where charone="ABCD" and nonchar=3 and chartwo="WXYZ";
Null change
update cpk set charone="ABCD", chartwo="WXYZ" where charone="ABCD" and nonchar=4 and chartwo="WXYZ";
Null change + data change
update cpk set charone="ABCD", chartwo="WXYZ", other=200 where charone="ABCD" and nonchar=5 and chartwo="WXYZ";
Change both char keys + data
update cpk set charone="abcd", chartwo="wxyz", other=200 where charone="ABCD" and nonchar=6 and chartwo="WXYZ";
flush logs;
flush logs;
flush logs;
flush logs;
flush logs;
flush logs;
delete from ba;
show variables like 'ndb_log_update%';
Variable_name Value
ndb_log_update_as_write ON
ndb_log_update_minimal OFF
ndb_log_updated_only ON
select txt from binlog_stmts where txt not like '%ndb_apply_status%' order by txt;
txt
DELETE FROM `test`.`ba` WHERE @1=2
INSERT INTO `test`.`ab` SET @1=1 @2=1 @3=1 @4=1 @5=1
INSERT INTO `test`.`ab` SET @1=2 @2=2 @3=2 @4=2 @5=2
INSERT INTO `test`.`ab` SET @1=222 @2=2 @4=222 @5=2
INSERT INTO `test`.`ab` SET @1=3 @2=3 @3=3 @4=3 @5=3
INSERT INTO `test`.`ab` SET @1=4 @2=4 @3=4 @4=4 @5=4
INSERT INTO `test`.`ab` SET @2=1 @3=111 @5=1
INSERT INTO `test`.`ba` SET @1=1 @2=1 @3=1
INSERT INTO `test`.`ba` SET @1=2 @2=2 @3=2
INSERT INTO `test`.`ba` SET @1=3 @2=3 @3=3
INSERT INTO `test`.`ba` SET @1=4 @2=4 @3=4
INSERT INTO `test`.`ba` SET @1=4 @3=40
INSERT INTO `test`.`cpk` SET @1=1 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=1 @2='abcd' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=2 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=2 @2='ABCD' @3='wxyz' @4=100
INSERT INTO `test`.`cpk` SET @1=3 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=3 @2='abcd' @3='wxyz' @4=100
INSERT INTO `test`.`cpk` SET @1=4 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=5 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=5 @2='ABCD' @3='WXYZ' @4=200
INSERT INTO `test`.`cpk` SET @1=6 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=6 @2='abcd' @3='wxyz' @4=200
select * from ab order by a2,a4;
a1 a2 a3 a4 a5
1 1 111 1 1
222 2 2 222 2
3 3 3 3 3
4 4 4 4 4
delete from ab;
select * from ba order by ks;
ks st lp
1 1 1
3 3 3
4 4 40
delete from ba;
select * from cpk order by nonchar;
nonchar charone chartwo other
1 abcd WXYZ 100
2 ABCD wxyz 100
3 abcd wxyz 100
4 ABCD WXYZ 100
5 ABCD WXYZ 200
6 abcd wxyz 200
delete from cpk;
show variables like 'ndb_log_update%';
Variable_name Value
ndb_log_update_as_write ON
ndb_log_update_minimal OFF
ndb_log_updated_only OFF
select txt from binlog_stmts where txt not like '%ndb_apply_status%' order by txt;
txt
DELETE FROM `test`.`ba` WHERE @1=2 @2=2 @3=2
INSERT INTO `test`.`ab` SET @1=1 @2=1 @3=1 @4=1 @5=1
INSERT INTO `test`.`ab` SET @1=1 @2=1 @3=111 @4=1 @5=1
INSERT INTO `test`.`ab` SET @1=2 @2=2 @3=2 @4=2 @5=2
INSERT INTO `test`.`ab` SET @1=222 @2=2 @3=2 @4=222 @5=2
INSERT INTO `test`.`ab` SET @1=3 @2=3 @3=3 @4=3 @5=3
INSERT INTO `test`.`ab` SET @1=4 @2=4 @3=4 @4=4 @5=4
INSERT INTO `test`.`ba` SET @1=1 @2=1 @3=1
INSERT INTO `test`.`ba` SET @1=2 @2=2 @3=2
INSERT INTO `test`.`ba` SET @1=3 @2=3 @3=3
INSERT INTO `test`.`ba` SET @1=4 @2=4 @3=4
INSERT INTO `test`.`ba` SET @1=4 @2=4 @3=40
INSERT INTO `test`.`cpk` SET @1=1 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=1 @2='abcd' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=2 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=2 @2='ABCD' @3='wxyz' @4=100
INSERT INTO `test`.`cpk` SET @1=3 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=3 @2='abcd' @3='wxyz' @4=100
INSERT INTO `test`.`cpk` SET @1=4 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=5 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=5 @2='ABCD' @3='WXYZ' @4=200
INSERT INTO `test`.`cpk` SET @1=6 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=6 @2='abcd' @3='wxyz' @4=200
select * from ab order by a2,a4;
a1 a2 a3 a4 a5
1 1 111 1 1
222 2 2 222 2
3 3 3 3 3
4 4 4 4 4
delete from ab;
select * from ba order by ks;
ks st lp
1 1 1
3 3 3
4 4 40
delete from ba;
select * from cpk order by nonchar;
nonchar charone chartwo other
1 abcd WXYZ 100
2 ABCD wxyz 100
3 abcd wxyz 100
4 ABCD WXYZ 100
5 ABCD WXYZ 200
6 abcd wxyz 200
delete from cpk;
show variables like 'ndb_log_update%';
Variable_name Value
ndb_log_update_as_write OFF
ndb_log_update_minimal OFF
ndb_log_updated_only ON
select txt from binlog_stmts where txt not like '%ndb_apply_status%' order by txt;
txt
DELETE FROM `test`.`ba` WHERE @1=2
INSERT INTO `test`.`ab` SET @1=1 @2=1 @3=1 @4=1 @5=1
INSERT INTO `test`.`ab` SET @1=2 @2=2 @3=2 @4=2 @5=2
INSERT INTO `test`.`ab` SET @1=3 @2=3 @3=3 @4=3 @5=3
INSERT INTO `test`.`ab` SET @1=4 @2=4 @3=4 @4=4 @5=4
INSERT INTO `test`.`ba` SET @1=1 @2=1 @3=1
INSERT INTO `test`.`ba` SET @1=2 @2=2 @3=2
INSERT INTO `test`.`ba` SET @1=3 @2=3 @3=3
INSERT INTO `test`.`ba` SET @1=4 @2=4 @3=4
INSERT INTO `test`.`cpk` SET @1=1 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=2 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=3 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=4 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=5 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=6 @2='ABCD' @3='WXYZ' @4=100
UPDATE `test`.`ab` WHERE @1=2 @2=2 @4=2 @5=2 SET @1=222 @2=2 @4=222 @5=2
UPDATE `test`.`ab` WHERE @2=1 @3=1 @5=1 SET @2=1 @3=111 @5=1
UPDATE `test`.`ba` WHERE @1=4 @3=4 SET @1=4 @3=40
UPDATE `test`.`cpk` WHERE @1=1 @2='ABCD' @3='WXYZ' @4=100 SET @1=1 @2='abcd' @3='WXYZ' @4=100
UPDATE `test`.`cpk` WHERE @1=2 @2='ABCD' @3='WXYZ' @4=100 SET @1=2 @2='ABCD' @3='wxyz' @4=100
UPDATE `test`.`cpk` WHERE @1=3 @2='ABCD' @3='WXYZ' @4=100 SET @1=3 @2='abcd' @3='wxyz' @4=100
UPDATE `test`.`cpk` WHERE @1=5 @2='ABCD' @3='WXYZ' @4=100 SET @1=5 @2='ABCD' @3='WXYZ' @4=200
UPDATE `test`.`cpk` WHERE @1=6 @2='ABCD' @3='WXYZ' @4=100 SET @1=6 @2='abcd' @3='wxyz' @4=200
select * from ab order by a2,a4;
a1 a2 a3 a4 a5
1 1 111 1 1
222 2 2 222 2
3 3 3 3 3
4 4 4 4 4
delete from ab;
select * from ba order by ks;
ks st lp
1 1 1
3 3 3
4 4 40
delete from ba;
select * from cpk order by nonchar;
nonchar charone chartwo other
1 abcd WXYZ 100
2 ABCD wxyz 100
3 abcd wxyz 100
4 ABCD WXYZ 100
5 ABCD WXYZ 200
6 abcd wxyz 200
delete from cpk;
show variables like 'ndb_log_update%';
Variable_name Value
ndb_log_update_as_write OFF
ndb_log_update_minimal OFF
ndb_log_updated_only OFF
select txt from binlog_stmts where txt not like '%ndb_apply_status%' order by txt;
txt
DELETE FROM `test`.`ba` WHERE @1=2 @2=2 @3=2
INSERT INTO `test`.`ab` SET @1=1 @2=1 @3=1 @4=1 @5=1
INSERT INTO `test`.`ab` SET @1=2 @2=2 @3=2 @4=2 @5=2
INSERT INTO `test`.`ab` SET @1=3 @2=3 @3=3 @4=3 @5=3
INSERT INTO `test`.`ab` SET @1=4 @2=4 @3=4 @4=4 @5=4
INSERT INTO `test`.`ba` SET @1=1 @2=1 @3=1
INSERT INTO `test`.`ba` SET @1=2 @2=2 @3=2
INSERT INTO `test`.`ba` SET @1=3 @2=3 @3=3
INSERT INTO `test`.`ba` SET @1=4 @2=4 @3=4
INSERT INTO `test`.`cpk` SET @1=1 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=2 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=3 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=4 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=5 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=6 @2='ABCD' @3='WXYZ' @4=100
UPDATE `test`.`ab` WHERE @1=1 @2=1 @3=1 @4=1 @5=1 SET @1=1 @2=1 @3=111 @4=1 @5=1
UPDATE `test`.`ab` WHERE @1=2 @2=2 @3=2 @4=2 @5=2 SET @1=222 @2=2 @3=2 @4=222 @5=2
UPDATE `test`.`ba` WHERE @1=4 @2=4 @3=4 SET @1=4 @2=4 @3=40
UPDATE `test`.`cpk` WHERE @1=1 @2='ABCD' @3='WXYZ' @4=100 SET @1=1 @2='abcd' @3='WXYZ' @4=100
UPDATE `test`.`cpk` WHERE @1=2 @2='ABCD' @3='WXYZ' @4=100 SET @1=2 @2='ABCD' @3='wxyz' @4=100
UPDATE `test`.`cpk` WHERE @1=3 @2='ABCD' @3='WXYZ' @4=100 SET @1=3 @2='abcd' @3='wxyz' @4=100
UPDATE `test`.`cpk` WHERE @1=5 @2='ABCD' @3='WXYZ' @4=100 SET @1=5 @2='ABCD' @3='WXYZ' @4=200
UPDATE `test`.`cpk` WHERE @1=6 @2='ABCD' @3='WXYZ' @4=100 SET @1=6 @2='abcd' @3='wxyz' @4=200
select * from ab order by a2,a4;
a1 a2 a3 a4 a5
1 1 111 1 1
222 2 2 222 2
3 3 3 3 3
4 4 4 4 4
delete from ab;
select * from ba order by ks;
ks st lp
1 1 1
3 3 3
4 4 40
delete from ba;
select * from cpk order by nonchar;
nonchar charone chartwo other
1 abcd WXYZ 100
2 ABCD wxyz 100
3 abcd wxyz 100
4 ABCD WXYZ 100
5 ABCD WXYZ 200
6 abcd wxyz 200
delete from cpk;
show variables like 'ndb_log_update%';
Variable_name Value
ndb_log_update_as_write OFF
ndb_log_update_minimal ON
ndb_log_updated_only ON
select txt from binlog_stmts where txt not like '%ndb_apply_status%' order by txt;
txt
DELETE FROM `test`.`ba` WHERE @1=2
INSERT INTO `test`.`ab` SET @1=1 @2=1 @3=1 @4=1 @5=1
INSERT INTO `test`.`ab` SET @1=2 @2=2 @3=2 @4=2 @5=2
INSERT INTO `test`.`ab` SET @1=3 @2=3 @3=3 @4=3 @5=3
INSERT INTO `test`.`ab` SET @1=4 @2=4 @3=4 @4=4 @5=4
INSERT INTO `test`.`ba` SET @1=1 @2=1 @3=1
INSERT INTO `test`.`ba` SET @1=2 @2=2 @3=2
INSERT INTO `test`.`ba` SET @1=3 @2=3 @3=3
INSERT INTO `test`.`ba` SET @1=4 @2=4 @3=4
INSERT INTO `test`.`cpk` SET @1=1 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=2 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=3 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=4 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=5 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=6 @2='ABCD' @3='WXYZ' @4=100
UPDATE `test`.`ab` WHERE @2=1 @5=1 SET @3=111
UPDATE `test`.`ab` WHERE @2=2 @5=2 SET @1=222 @4=222
UPDATE `test`.`ba` WHERE @1=4 SET @3=40
UPDATE `test`.`cpk` WHERE @1=1 @2='ABCD' @3='WXYZ' SET @2='abcd' @3='WXYZ' @4=100
UPDATE `test`.`cpk` WHERE @1=2 @2='ABCD' @3='WXYZ' SET @2='ABCD' @3='wxyz' @4=100
UPDATE `test`.`cpk` WHERE @1=3 @2='ABCD' @3='WXYZ' SET @2='abcd' @3='wxyz' @4=100
UPDATE `test`.`cpk` WHERE @1=5 @2='ABCD' @3='WXYZ' SET @2='ABCD' @3='WXYZ' @4=200
UPDATE `test`.`cpk` WHERE @1=6 @2='ABCD' @3='WXYZ' SET @2='abcd' @3='wxyz' @4=200
select * from ab order by a2,a4;
a1 a2 a3 a4 a5
1 1 111 1 1
222 2 2 222 2
3 3 3 3 3
4 4 4 4 4
delete from ab;
select * from ba order by ks;
ks st lp
1 1 1
3 3 3
4 4 40
delete from ba;
select * from cpk order by nonchar;
nonchar charone chartwo other
1 abcd WXYZ 100
2 ABCD wxyz 100
3 abcd wxyz 100
4 ABCD WXYZ 100
5 ABCD WXYZ 200
6 abcd wxyz 200
delete from cpk;
show variables like 'ndb_log_update%';
Variable_name Value
ndb_log_update_as_write OFF
ndb_log_update_minimal ON
ndb_log_updated_only OFF
select txt from binlog_stmts where txt not like '%ndb_apply_status%' order by txt;
txt
DELETE FROM `test`.`ba` WHERE @1=2 @2=2 @3=2
INSERT INTO `test`.`ab` SET @1=1 @2=1 @3=1 @4=1 @5=1
INSERT INTO `test`.`ab` SET @1=2 @2=2 @3=2 @4=2 @5=2
INSERT INTO `test`.`ab` SET @1=3 @2=3 @3=3 @4=3 @5=3
INSERT INTO `test`.`ab` SET @1=4 @2=4 @3=4 @4=4 @5=4
INSERT INTO `test`.`ba` SET @1=1 @2=1 @3=1
INSERT INTO `test`.`ba` SET @1=2 @2=2 @3=2
INSERT INTO `test`.`ba` SET @1=3 @2=3 @3=3
INSERT INTO `test`.`ba` SET @1=4 @2=4 @3=4
INSERT INTO `test`.`cpk` SET @1=1 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=2 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=3 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=4 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=5 @2='ABCD' @3='WXYZ' @4=100
INSERT INTO `test`.`cpk` SET @1=6 @2='ABCD' @3='WXYZ' @4=100
UPDATE `test`.`ab` WHERE @2=1 @5=1 SET @1=1 @3=111 @4=1
UPDATE `test`.`ab` WHERE @2=2 @5=2 SET @1=222 @3=2 @4=222
UPDATE `test`.`ba` WHERE @1=4 SET @2=4 @3=40
UPDATE `test`.`cpk` WHERE @1=1 @2='ABCD' @3='WXYZ' SET @2='abcd' @3='WXYZ' @4=100
UPDATE `test`.`cpk` WHERE @1=2 @2='ABCD' @3='WXYZ' SET @2='ABCD' @3='wxyz' @4=100
UPDATE `test`.`cpk` WHERE @1=3 @2='ABCD' @3='WXYZ' SET @2='abcd' @3='wxyz' @4=100
UPDATE `test`.`cpk` WHERE @1=5 @2='ABCD' @3='WXYZ' SET @2='ABCD' @3='WXYZ' @4=200
UPDATE `test`.`cpk` WHERE @1=6 @2='ABCD' @3='WXYZ' SET @2='abcd' @3='wxyz' @4=200
select * from ab order by a2,a4;
a1 a2 a3 a4 a5
1 1 111 1 1
222 2 2 222 2
3 3 3 3 3
4 4 4 4 4
delete from ab;
select * from ba order by ks;
ks st lp
1 1 1
3 3 3
4 4 40
delete from ba;
select * from cpk order by nonchar;
nonchar charone chartwo other
1 abcd WXYZ 100
2 ABCD wxyz 100
3 abcd wxyz 100
4 ABCD WXYZ 100
5 ABCD WXYZ 200
6 abcd wxyz 200
delete from cpk;
drop table ab;
drop table ba;
drop table cpk;
CREATE TABLE mysql.ndb_replication
(db VARBINARY(63),
table_name VARBINARY(63),
server_id INT UNSIGNED,
binlog_type INT UNSIGNED,
conflict_fn VARBINARY(128),
PRIMARY KEY USING HASH (db,table_name,server_id))
ENGINE=NDB PARTITION BY KEY(db,table_name);
insert into mysql.ndb_replication values("test", "t1", 0, 6, NULL);
insert into mysql.ndb_replication values("test", "t2", 0, 7, NULL);
insert into mysql.ndb_replication values("test", "t3", 0, 8, NULL);
insert into mysql.ndb_replication values("test", "t4", 0, 9, NULL);
create table t1(a1 int, a2 int, a3 int, a4 int, a5 int, primary key(a2,a5)) engine=ndb;
create table t2(a1 int, a2 int, a3 int, a4 int, a5 int, primary key(a2,a5)) engine=ndb;
create table t3(a1 int, a2 int, a3 int, a4 int, a5 int, primary key(a2,a5)) engine=ndb;
create table t4(a1 int, a2 int, a3 int, a4 int, a5 int, primary key(a2,a5)) engine=ndb;
insert into t1 values (1,1,1,1,1), (2,2,2,2,2), (3,3,3,3,3), (4,4,4,4,4);
insert into t2 values (1,1,1,1,1), (2,2,2,2,2), (3,3,3,3,3), (4,4,4,4,4);
insert into t3 values (1,1,1,1,1), (2,2,2,2,2), (3,3,3,3,3), (4,4,4,4,4);
insert into t4 values (1,1,1,1,1), (2,2,2,2,2), (3,3,3,3,3), (4,4,4,4,4);
update t1 set a3=111 where a2=1;
update t1 set a1=222, a4=222 where a2=2;
update t2 set a3=111 where a2=1;
update t2 set a1=222, a4=222 where a2=2;
update t3 set a3=111 where a2=1;
update t3 set a1=222, a4=222 where a2=2;
update t4 set a3=111 where a2=1;
update t4 set a1=222, a4=222 where a2=2;
flush logs;
select txt from binlog_stmts where txt not like '%ndb_apply_status%' order by txt;
txt
INSERT INTO `test`.`t1` SET @1=1 @2=1 @3=1 @4=1 @5=1
INSERT INTO `test`.`t1` SET @1=2 @2=2 @3=2 @4=2 @5=2
INSERT INTO `test`.`t1` SET @1=3 @2=3 @3=3 @4=3 @5=3
INSERT INTO `test`.`t1` SET @1=4 @2=4 @3=4 @4=4 @5=4
INSERT INTO `test`.`t2` SET @1=1 @2=1 @3=1 @4=1 @5=1
INSERT INTO `test`.`t2` SET @1=2 @2=2 @3=2 @4=2 @5=2
INSERT INTO `test`.`t2` SET @1=3 @2=3 @3=3 @4=3 @5=3
INSERT INTO `test`.`t2` SET @1=4 @2=4 @3=4 @4=4 @5=4
INSERT INTO `test`.`t3` SET @1=1 @2=1 @3=1 @4=1 @5=1
INSERT INTO `test`.`t3` SET @1=2 @2=2 @3=2 @4=2 @5=2
INSERT INTO `test`.`t3` SET @1=3 @2=3 @3=3 @4=3 @5=3
INSERT INTO `test`.`t3` SET @1=4 @2=4 @3=4 @4=4 @5=4
INSERT INTO `test`.`t4` SET @1=1 @2=1 @3=1 @4=1 @5=1
INSERT INTO `test`.`t4` SET @1=2 @2=2 @3=2 @4=2 @5=2
INSERT INTO `test`.`t4` SET @1=3 @2=3 @3=3 @4=3 @5=3
INSERT INTO `test`.`t4` SET @1=4 @2=4 @3=4 @4=4 @5=4
UPDATE `test`.`t1` WHERE @1=2 @2=2 @4=2 @5=2 SET @1=222 @2=2 @4=222 @5=2
UPDATE `test`.`t1` WHERE @2=1 @3=1 @5=1 SET @2=1 @3=111 @5=1
UPDATE `test`.`t2` WHERE @1=1 @2=1 @3=1 @4=1 @5=1 SET @1=1 @2=1 @3=111 @4=1 @5=1
UPDATE `test`.`t2` WHERE @1=2 @2=2 @3=2 @4=2 @5=2 SET @1=222 @2=2 @3=2 @4=222 @5=2
UPDATE `test`.`t3` WHERE @2=1 @5=1 SET @3=111
UPDATE `test`.`t3` WHERE @2=2 @5=2 SET @1=222 @4=222
UPDATE `test`.`t4` WHERE @2=1 @5=1 SET @1=1 @3=111 @4=1
UPDATE `test`.`t4` WHERE @2=2 @5=2 SET @1=222 @3=2 @4=222
delete from t1;
delete from t2;
delete from t3;
delete from t4;
select * from t1 order by a2,a5;
a1 a2 a3 a4 a5
1 1 111 1 1
222 2 2 222 2
3 3 3 3 3
4 4 4 4 4
select * from t2 order by a2,a5;
a1 a2 a3 a4 a5
1 1 111 1 1
222 2 2 222 2
3 3 3 3 3
4 4 4 4 4
select * from t3 order by a2,a5;
a1 a2 a3 a4 a5
1 1 111 1 1
222 2 2 222 2
3 3 3 3 3
4 4 4 4 4
select * from t4 order by a2,a5;
a1 a2 a3 a4 a5
1 1 111 1 1
222 2 2 222 2
3 3 3 3 3
4 4 4 4 4
drop table t1, t2, t3, t4;
drop table mysql.ndb_replication;
reset master;
show variables like 'ndb_log_update%';
Variable_name Value
ndb_log_update_as_write ON
ndb_log_update_minimal OFF
ndb_log_updated_only ON
create table bah (tst int primary key, cvy int, sqs int, unique(sqs)) engine=ndb;
insert into bah values (1,1,1);
update bah set cvy= 2 where tst=1;
select * from bah order by tst;
tst cvy sqs
1 2 1
drop table bah;
Manually applying captured binlog
select * from bah order by tst;
tst cvy sqs
1 2 1
drop table bah;
reset master;
show variables like '%log_update%';
Variable_name Value
ndb_log_update_as_write ON
ndb_log_update_minimal OFF
ndb_log_updated_only ON
CREATE TABLE `t1` (
`charId` varchar(60) NOT NULL,
`enumId` enum('A','B','C') NOT NULL,
`val` bigint(20) NOT NULL,
`version` int(11) NOT NULL,
PRIMARY KEY (`charId`,`enumId`)
) ENGINE=ndbcluster DEFAULT CHARSET=latin1;
Warnings:
Warning 1681 Integer display width is deprecated and will be removed in a future release.
Warning 1681 Integer display width is deprecated and will be removed in a future release.
INSERT INTO t1 VALUES ('', 'A', 0, 1);
FLUSH LOGS;
UPDATE t1 SET val = val + 1 WHERE charId = '';
FLUSH LOGS;
DELETE FROM t1 WHERE charId = '';
FLUSH LOGS;
Manually applying captured binlog
select * from t1;
charId enumId val version
drop table t1;
reset master;
show variables like '%log_update%';
Variable_name Value
ndb_log_update_as_write ON
ndb_log_update_minimal OFF
ndb_log_updated_only ON
create table t1 (pk int not null primary key, name varchar(256)) engine = ndb;
FLUSH LOGS;
insert into t1 values (0, "zero"),(1,"one"),(2,"two"),(3,"three"),(4,"four"),(5,"five"),(6,"six"),(7,"seven"),(8,"eight"),(9,"nine");
select * from t1 order by pk;
pk name
0 zero
1 one
2 two
3 three
4 four
5 five
6 six
7 seven
8 eight
9 nine
update t1 set name = "even" where pk in (0,2,4,6,8);
update t1 set name = "odd" where pk in (1,3,5,7,9);
delete from t1 where name = "odd";
select * from t1 order by pk;
pk name
0 even
2 even
4 even
6 even
8 even
FLUSH LOGS;
truncate t1;
insert into t1 values (0, "zero"),(1,"one"),(2,"two"),(3,"three"),(4,"four"),(5,"five"),(6,"six"),(7,"seven"),(8,"eight"),(9,"nine");
select * from t1 order by pk;
pk name
0 zero
1 one
2 two
3 three
4 four
5 five
6 six
7 seven
8 eight
9 nine
FLUSH LOGS;
Manually applying captured binlog
select * from t1 order by pk;
pk name
0 even
2 even
4 even
6 even
8 even
drop table t1;
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