关于Relay Log无法自动删除的问题(Neither --relay-log nor --relay-log-ind
今天查看mysql err日志,发现mysql重启时总会有如下日志出现:[Warning] Neither --relay-log nor --relay-log-index were used;
今天查看mysql err日志,发现mysql重启时总会有如下日志出现:
[Warning] Neither --relay-log nor --relay-log-index were used; so replication may break when this MySQL server acts as a slave and has his hostname changed!! Please use '--relay-log=liytest-relay-bin' to avoid this problem.
这个警告提示本身的意思,作为slave,为防止因为主机名变更导致relay log文件名无效的问题,最好设置'--relay-log=liytest-relay-bin'
但问题时,我这机器根本就没有开启slave模式,,而且数据目录下一直有liytest-relay-bin.000001,relay的出现并且堆积,上网搜索总结一下原因
该实例原先是一个Slave -------导致relay-log 和 relay-log.index的存在
该实例目前已经不是Slave -------由于没有了IO-Thread,导致relay-log-purge 没有起作用( 这也是其他Slave实例没有这种情况的原因,因为IO-thread会做自动rotate操作)。
该实例每天会进行日常备份 -------Flush logs的存在,导致每天会生成一个relay-log
该实例没有配置expire-logs-days ------导致flush logs时,也不会做relay-log清除
简而言之就是: 一个实例如果之前是Slave,而之后停用了(stop slave),且没有配置expire-logs-days的情况下,会出现relay-log堆积的情况。
顺带也和大家分享下MySQL 内部Logrotate的机制
Binary Log rotate机制:
Rotate:每一条binary log写入完成后,都会判断当前文件是否超过 max_binlog_size,如果超过则自动生成一个binlog file
Delete:expire-logs-days 只在 实例启动时 和 flush logs 时判断,如果文件访问时间早于设定值,则purge file
Relay Log rotate 机制:
Rotate:每从Master fetch一个events后,判断当前文件是否超过 max_relay_log_size 如果超过则自动生成一个新的relay-log-file
Delete:purge-relay-log 在SQL Thread每执行完一个events时判断,如果该relay-log 已经不再需要则自动删除
因此建议当slave不再使用时,一定要通过reset slave来取消relaylog,不然即使重启mysql,问题还是一样存在。
--------------------------------------分割线 --------------------------------------
Ubuntu 14.04下安装MySQL
《MySQL权威指南(原书第2版)》清晰中文扫描版 PDF
Ubuntu 14.04 LTS 安装 LNMP Nginx\PHP5 (PHP-FPM)\MySQL
Ubuntu 14.04下搭建MySQL主从服务器
Ubuntu 12.04 LTS 构建高可用分布式 MySQL 集群
Ubuntu 12.04下源代码安装MySQL5.6以及Python-MySQLdb
MySQL-5.5.38通用二进制安装
--------------------------------------分割线 --------------------------------------
本文永久更新链接地址:

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

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





Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.
