MySQL lock transaction isolation level and application
In the database, the transaction isolation level is a very important concept, which determines the degree of isolation between concurrent transactions. MySQL provides four transaction isolation levels: READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, and SERIALIZABLE. Different transaction isolation levels have different locking strategies for data reading and writing, so it is crucial to correctly select and use the appropriate transaction isolation level in your application.
The following uses specific code examples to demonstrate the locking strategies under different transaction isolation levels:
First create a test table:
CREATE TABLE test_table ( id INT PRIMARY KEY, name VARCHAR(100), age INT );
Then demonstrate different transactions respectively Locking strategy under isolation level:
READ UNCOMMITTED:
-- 执行事务1 SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED; START TRANSACTION; SELECT * FROM test_table WHERE id = 1; -- 执行事务2 START TRANSACTION; UPDATE test_table SET age = 20 WHERE id = 1; COMMIT; -- 继续执行事务1 SELECT * FROM test_table WHERE id = 1; COMMIT;
In this example, transaction 1 reads the data modified but not committed by transaction 2.
READ COMMITTED:
-- 执行事务1 SET TRANSACTION ISOLATION LEVEL READ COMMITTED; START TRANSACTION; SELECT * FROM test_table WHERE id = 1; -- 执行事务2 START TRANSACTION; UPDATE test_table SET age = 20 WHERE id = 1; COMMIT; -- 继续执行事务1 SELECT * FROM test_table WHERE id = 1; COMMIT;
In this example, transaction 1 can only read the data that transaction 2 has submitted.
REPEATABLE READ:
-- 执行事务1 SET TRANSACTION ISOLATION LEVEL REPEATABLE READ; START TRANSACTION; SELECT * FROM test_table WHERE id = 1; -- 执行事务2 START TRANSACTION; UPDATE test_table SET age = 20 WHERE id = 1; COMMIT; -- 继续执行事务1 SELECT * FROM test_table WHERE id = 1; COMMIT;
In this example, transaction 1 adds a shared lock when reading data, and transaction 2 waits for transaction 1 to release the shared lock before it can be executed. .
SERIALIZABLE:
-- 执行事务1 SET TRANSACTION ISOLATION LEVEL SERIALIZABLE; START TRANSACTION; SELECT * FROM test_table WHERE id = 1; -- 执行事务2 START TRANSACTION; UPDATE test_table SET age = 20 WHERE id = 1; COMMIT; -- 继续执行事务1 SELECT * FROM test_table WHERE id = 1; COMMIT;
In this example, transaction 1 adds a shared lock when reading data, and transaction 2 waits for transaction 1 to release the shared lock before it can be executed.
Through the above code examples, we can see how the lock strategy works under different transaction isolation levels. In actual application development, it is very necessary to choose the appropriate transaction isolation level, which can be selected according to specific business scenarios and performance requirements.
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