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Table of Contents
What are the situations suitable for table locks?
Row locks are more suitable for high concurrent write scenarios
How to determine which lock is used?
How to choose?
Home Database Mysql Tutorial mysql table lock vs row lock

mysql table lock vs row lock

Jul 12, 2025 am 01:48 AM

Table locks are suitable for low-concurrency, batch operation or maintenance scenarios. For example, when using the MyISAM engine, performing DDL operations or full-table scans, their overhead is small but their concurrency is poor. Row locks are suitable for high-concurrency write scenarios. They are supported by the InnoDB engine. Fine-grained locks are realized through index hits to improve concurrency but may cause deadlocks. When choosing, according to business needs, use InnoDB row locks with more writes and reads, and use MyISAM table locks with less data or mainly reads. Make sure to query and go through indexes to avoid lock upgrades.

mysql table lock vs row lock

MySQL lock mechanism is the core part of database concurrency control. Table locks and row locks are the two most common types. Their usage scenarios and impacts vary greatly. Understanding the difference and application of the two can effectively improve database performance and avoid deadlocks.

mysql table lock vs row lock

What are the situations suitable for table locks?

Table locks are locking the entire table, usually used when performing DDL operations or certain specific DML operations. For example, ALTER TABLE , DROP TABLE , or full table scanning operations without indexing.

  • Advantages : Small overhead, fast locking.
  • Disadvantages : Poor concurrency, easy to cause blockage.

Common usage scenarios include:

mysql table lock vs row lock
  • Locking before batch import of data to prevent other writes
  • Maintenance operations such as re-index or structural changes
  • When using MyISAM engine, the default is table lock

MyISAM storage engine only supports table locks, so if your business requires high concurrent writes, try to avoid using it.


Row locks are more suitable for high concurrent write scenarios

Row locks are a function provided by the InnoDB storage engine. They only lock the data rows involved, greatly improving the ability of concurrent access. For example, in an order system, when multiple users place orders and modify different records at the same time, they will not block each other.

mysql table lock vs row lock
  • Advantages : Strong concurrency and fine particle size.
  • Disadvantages : Large overhead, slow locking, and deadlock may occur.

Some things to note when using line locks:

  • Rows must be hit by index, otherwise they may degenerate into table locks
  • Avoid long transactions and reduce lock waiting time
  • Set transaction isolation levels appropriately to prevent dirty reading and non-repeatable reading.

For example, if an update statement does not go through the index, InnoDB may lock every row in the entire table, resulting in performance degradation or even system stuttering.


How to determine which lock is used?

Many times we are not sure whether SQL actually uses row locks. You can check it in the following ways:

  1. Use SHOW ENGINE INNODB STATUS\G to view the recent deadlock information
  2. Query INNODB_LOCKS and INNODB_LOCK_WAITS in information_schema
  3. Turn on the slow query log to observe whether there are a large number of locks waiting

In addition, concurrent operations can be simulated in the test environment to observe whether there is obvious blocking behavior.


How to choose?

Actually, there is no need to worry too much, just remember a few principles:

  • InnoDB line lock is preferred for scenarios with more writing and less reading and high concurrency
  • MyISAM table lock can be considered in scenarios where the data volume is small, mainly read or batch processing.
  • Make sure the query has gone through the appropriate index, otherwise the row lock may also become a table lock
  • Avoid long transactions and reduce lock holding time

Basically that's it. The locking mechanism is not particularly complicated, but details are easily overlooked, especially when the index is useless.

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