This article brings you relevant knowledge about the process of writing Binary Log in mysql, including issues related to "sync_binlog", "binlog_cache_size" and "max_binlog_cache_size". I hope it will be helpful to everyone.
Binary Log writing process
Let’s first take a look at the official document’s description of sync_binlog configuration.
sync_binlog
--sync-binlog= | |
sync_binlog | |
Global | |
Yes | |
No | |
Integer | ##Default value |
Minimum value | |
Maximum value | |
- sync_binlog=1: Enables binary log to disk synchronization before committing a transaction. This is the safest setting, but may have a negative impact on performance due to increased disk writes. In the event of a power failure or operating system crash, the transactions lost in the binary log are only in the prepared state. This allows regular automatic recovery to roll back transactions, thus guaranteeing that transactions will not be lost from the binary log.
- sync_binlog=N, which is a value other than 0 or 1: After N binary log submission groups are collected, the binary log will be synchronized to disk. In the event of a power failure or operating system crash, the server may have committed transactions that have not yet been flushed to the binary log. This setting may have a negative impact on performance due to increased disk writes. Higher values improve performance but increase the risk of data loss.
- InnoDB
sync_binlog=1.
- innodb_flush_log_at_trx_commit=1.
- ##WARNING
The sync_binlog setting type is unsigned Integer. Generally it is not set to 0. 0 depends on system operation and irregular fsync. It is more dangerous when a power failure or system crash occurs - the transaction is submitted but the Binary Log is missing.Many operating systems and some disk hardware cheats Flush to disk operation. They may tell mysqld that a refresh has occurred even though it hasn't happened yet. In this case, transaction durability is not guaranteed even with the recommended settings, and in the worst case, a power outage may corrupt the InnoDB data. Using a battery-backed disk cache in the SCSI disk controller or the disk itself speeds up file refreshes and makes operations more secure. You can also try disabling caching of disk writes in the hardware cache.
Summary
- It is safer to set it to 1, obtain the maximum possible durability and consistency, and ensure subsequent master-slave replication and recovery. However, it is detrimental to performance and can be set when the IOPS required by the business is not high.
- The purpose of setting a value greater than 1 is to improve performance. Instead of committing a transaction, fsync is equivalent to batch flushing. It is a smart way, but if there is a power failure or system crash, the Binary Log will be missing. There will be more. It would be safer if the disk itself used a battery-backed disk cache. Therefore, it can be set when the IOPS required by the business is relatively high, but generally it will not be set too large and can be in the [100, 1000] range.
- In addition, through the description of sync_binlog=0, we can also roughly feel that in fact, when the transaction is submitted, although there is no fsync immediately, it has actually been written to the page cache of the file system. , then in fact, mysql will also have a cache to cache the Binary Log generated in the transaction when the transaction is running.
- Let’s continue to look at the cache related configuration of Binary Log when the transaction is running.
binlog_cache_size
#System variable | binlog_cache_size | |||||||||||||||||||||
Scope | Golbal | |||||||||||||||||||||
Dynamic | Yes | |||||||||||||||||||||
SET_VAR prompt applies | No | |||||||||||||||||||||
##Type | Integer | |||||||||||||||||||||
Default value | 32768 | |||||||||||||||||||||
Minimum value | 4096 | |||||||||||||||||||||
Maximum value (64-bit platform) | 2^64=18446744073709547520 | |||||||||||||||||||||
Maximum value (32-bit platform) | 2^32=4294967295 | |||||||||||||||||||||
Block size | 4096 | |||||||||||||||||||||
The size of the memory buffer to hold binary log changes during a transaction. The value must be a multiple of 4096. When binary logging is enabled on a server (the log_bin system variable is set to ON), each client is assigned a binary log cache if the server supports any transaction storage engine. If a transaction's data exceeds the space in the memory buffer, the excess data is stored in a temporary file. When binary log encryption is active on the server, the memory buffer is not encrypted, but (starting with MySQL 8.0.17) any temporary files used to hold the binary log cache are encrypted. After each transaction is committed, the binary log cache is reset by clearing the memory buffer and truncating the temporary file (if used). If you frequently use large transactions, you can increase this cache size for better performance by reducing or eliminating the need to write temporary files. Binlog_cache_use (service status variable - the number of transactions using the Binary Log cache) and Binlog_cache_disk_use (service status variable - the number of transactions using the temporary binary log cache but exceeding the binlog_cache_size value and using temporary files to store transaction statements.) status variables can be used to adjust this variable size. See Section 5.4.4, “Binary Logs”.
Summary
max_binlog_cache_size
|
The above is the detailed content of Completely master the process of writing Binary Log in MySql. For more information, please follow other related articles on the PHP Chinese website!

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


Hot AI Tools

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

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

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Atom editor mac version download
The most popular open source editor

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Zend Studio 13.0.1
Powerful PHP integrated development environment

WebStorm Mac version
Useful JavaScript development tools

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