MySQL insert into select triggers lock table

HelloCoder-HaC 2020-11-10 09:13:45
mysql insert select triggers lock

On Friday, HaC I'm going online , There is a script to execute , A table needs to be backed up before execution .

O & M boss :“ Why does the backup of this table take so long ,,??”

1 Seconds passed ......2 Seconds passed ......

During the operation feedback system, a large number of orders were overtime .

Big guy found me , ask :“ How do you back up ?”

I :“insert into select * from ah !”

bosses :“?? You don't want to get mixed up ?”

It's another day that I'm hated by the boss , In order not to pack up and leave , I decided to learn some common methods of table backup .

MySQL In general, we usually use These two methods :


notes : This article is only for MySQL innodb engine , Transactions are repeatable RR, The database version is 5.5


insert into Table2(field1,field2,...) select value1,value2,... from Table1

Be careful

(1) Request target table Table2 There must be , And the fields field,field2... There must also be

(2) Be careful Table2 Primary key constraint for , If Table2 It has a primary key and is not empty , be field1, field2... The primary key must be included in

When executing a statement ,MySQL It's line by line locking ( Scan one lock one ), Until all eligible data is locked , Release the lock after execution . So when the business is going on , Don't use this method .

stay RR Under isolation level , Also add row lock and clearance lock

Give me a chestnut :

`c` int(11) DEFAULT NULL,
`d` int(11) DEFAULT NULL,
UNIQUE KEY `c` (`c`)
insert into t values(null, 1,1);
insert into t values(null, 2,2);
insert into t values(null, 3,3);
insert into t values(null, 4,4);
create table t2 like t;


insert into t2(c,d) select c,d from t;

First not commit; This statement is against the table t The primary key index has been added with (-∞,1] This next-key lock

Open a new one Navicat window , Simulate a new transaction entering , At this time, execute the following sentence sql We need to wait

insert into t values(-1,-1,-1);


It really locks the watch ~ I can't write it in , I finally know why the order is over time .

Back the pot, back the pot .

If you really want to use INSERT INTO SELECT This method , You can use the following method to optimize :

  1. Conditional , Force Index , Don't scan the whole table , for example
Table1 FORCE INDEX (create_time)
update_time <= '2020-03-08 00:00:00';
  1. add limit 100,100 such , Limited quantity


create table as select Will create a table that doesn't exist , It can also be used to copy a table .

1. create table t3 as select * from t where 1=2;
-- Create a table structure with t As like as two peas , Copy only structures, not data ;
2.create table t3 as select * from t ;
-- Create a table structure with t As like as two peas , Replication structures also replicate data ;( Indexes don't create )
3.create table t3(`id`,`a`) as select `id`,`c` from t;
-- Create a table structure with t As like as two peas , Replication structures also replicate data , But specify the column name of the new table ;

The last two formats , If you follow the appropriate query criteria , You can only copy the data that meets the criteria to a new table . such as :

create table table1 as select * from table2 where columns1>=1;

Table replication for large tables and multi fields , Consider whether each field is required , If it's not necessary , Can I customize the selection field , This will greatly increase the copy time .

CREATE table table1 as SELECT id FROM table2; -- Just copy id This column 

Be careful This table creation process locks the table throughout the process . Statement execution finished , To release Metadata lock .

MDL Its full name is metadata lock, Metadata lock .MDL Lock is mainly used to maintain data consistency of table metadata , There are activities on the list ( Explicit or implicit ) When , You cannot write metadata . So from MySQL5.5 Version started to be introduced MDL lock , To protect the metadata information of the table , To solve or guarantee DDL Operation and DML Consistency between operations .

Be careful :

  1. The new table does not automatically create the same index as the original table .( That is, the index of the replicated table will disappear )

3 . difference

  • First , The biggest difference is that they belong to different types of statements ,INSERT INTO SELECT yes DML sentence ( Data operation language ,SQL Processing data and other operations are collectively referred to as data manipulation language ), After completion, it needs to be submitted to take effect ,CREATE TABLE AS SELECT yes DDL sentence ( Data definition language , Used to define and manage SQL The language of all objects in the database ), It takes effect immediately after the execution , No rollback is provided , High efficiency .

  • secondly , Different functions ,INSERT INTO SELECT Just insert data , You have to build a watch first ;CREATE TABLE AS SELECT Then create the table and insert data together .

  • It is not recommended to use when there is a large amount of data Insert into as, Because the insertion efficiency of this statement is very slow .

4. summary

The above is true for replicated tables , It's not a good choice , Share some common methods :

  1. Export to excel, Then spell it sql become insert into values(),(),() In the form of .

  2. Timing task , The logic of the task is to query 100 Bar record , Then multiple threads are divided into several tasks to execute , Like a thread , Every thread 10 Bar record , After inserting , Looking for new 100 Record processing .

  3. mysqldumb Method , for example

    mysqldump -h$host -P$port -u$user --add-locks=0 --no-create-info --single-transaction --set-gtid-purged=OFF db1 t --where="a>900" --result-file=/client_tmp/t.sql
  4. export CSV file

select * from db1.t where a>900 into outfile '/server_tmp/t.csv';

The first 3、4 Two methods are suitable for whole table export .

​ 5. When there is little business ( Late at night or something ) Next , have access to create table as select .

Knowledge has increased again .

welfare :

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