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 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.

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:

- 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.

- 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:
- Use
SHOW ENGINE INNODB STATUS\G
to view the recent deadlock information - Query
INNODB_LOCKS
andINNODB_LOCK_WAITS
ininformation_schema
- 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.
The above is the detailed content of mysql table lock vs row lock. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

GTID (Global Transaction Identifier) ??solves the complexity of replication and failover in MySQL databases by assigning a unique identity to each transaction. 1. It simplifies replication management, automatically handles log files and locations, allowing slave servers to request transactions based on the last executed GTID. 2. Ensure consistency across servers, ensure that each transaction is applied only once on each server, and avoid data inconsistency. 3. Improve troubleshooting efficiency. GTID includes server UUID and serial number, which is convenient for tracking transaction flow and accurately locate problems. These three core advantages make MySQL replication more robust and easy to manage, significantly improving system reliability and data integrity.

MySQL main library failover mainly includes four steps. 1. Fault detection: Regularly check the main library process, connection status and simple query to determine whether it is downtime, set up a retry mechanism to avoid misjudgment, and can use tools such as MHA, Orchestrator or Keepalived to assist in detection; 2. Select the new main library: select the most suitable slave library to replace it according to the data synchronization progress (Seconds_Behind_Master), binlog data integrity, network delay and load conditions, and perform data compensation or manual intervention if necessary; 3. Switch topology: Point other slave libraries to the new master library, execute RESETMASTER or enable GTID, update the VIP, DNS or proxy configuration to

The steps to connect to the MySQL database are as follows: 1. Use the basic command format mysql-u username-p-h host address to connect, enter the username and password to log in; 2. If you need to directly enter the specified database, you can add the database name after the command, such as mysql-uroot-pmyproject; 3. If the port is not the default 3306, you need to add the -P parameter to specify the port number, such as mysql-uroot-p-h192.168.1.100-P3307; In addition, if you encounter a password error, you can re-enter it. If the connection fails, check the network, firewall or permission settings. If the client is missing, you can install mysql-client on Linux through the package manager. Master these commands

IndexesinMySQLimprovequeryspeedbyenablingfasterdataretrieval.1.Theyreducedatascanned,allowingMySQLtoquicklylocaterelevantrowsinWHEREorORDERBYclauses,especiallyimportantforlargeorfrequentlyqueriedtables.2.Theyspeedupjoinsandsorting,makingJOINoperation

InnoDB is MySQL's default storage engine because it outperforms other engines such as MyISAM in terms of reliability, concurrency performance and crash recovery. 1. It supports transaction processing, follows ACID principles, ensures data integrity, and is suitable for key data scenarios such as financial records or user accounts; 2. It adopts row-level locks instead of table-level locks to improve performance and throughput in high concurrent write environments; 3. It has a crash recovery mechanism and automatic repair function, and supports foreign key constraints to ensure data consistency and reference integrity, and prevent isolated records and data inconsistencies.

MySQL's default transaction isolation level is RepeatableRead, which prevents dirty reads and non-repeatable reads through MVCC and gap locks, and avoids phantom reading in most cases; other major levels include read uncommitted (ReadUncommitted), allowing dirty reads but the fastest performance, 1. Read Committed (ReadCommitted) ensures that the submitted data is read but may encounter non-repeatable reads and phantom readings, 2. RepeatableRead default level ensures that multiple reads within the transaction are consistent, 3. Serialization (Serializable) the highest level, prevents other transactions from modifying data through locks, ensuring data integrity but sacrificing performance;

MySQL transactions follow ACID characteristics to ensure the reliability and consistency of database transactions. First, atomicity ensures that transactions are executed as an indivisible whole, either all succeed or all fail to roll back. For example, withdrawals and deposits must be completed or not occur at the same time in the transfer operation; second, consistency ensures that transactions transition the database from one valid state to another, and maintains the correct data logic through mechanisms such as constraints and triggers; third, isolation controls the visibility of multiple transactions when concurrent execution, prevents dirty reading, non-repeatable reading and fantasy reading. MySQL supports ReadUncommitted and ReadCommi.

To add MySQL's bin directory to the system PATH, it needs to be configured according to the different operating systems. 1. Windows system: Find the bin folder in the MySQL installation directory (the default path is usually C:\ProgramFiles\MySQL\MySQLServerX.X\bin), right-click "This Computer" → "Properties" → "Advanced System Settings" → "Environment Variables", select Path in "System Variables" and edit it, add the MySQLbin path, save it and restart the command prompt and enter mysql--version verification; 2.macOS and Linux systems: Bash users edit ~/.bashrc or ~/.bash_
