收到监控短信,说更新和插入阀值报警,于是登陆mysql-monitor上查看,确实如此,如图:登陆mysql服务器上,通过binlog分析,17:05之前和之后的,看是哪个表更新
收到监控短信,说更新和插入阀值报警,于是登陆mysql-monitor上查看,确实如此,美国空间,如图:
登陆mysql服务器上,通过binlog分析,17:05之前和之后的,看是哪个表更新较大。
[root@XXX-02 logs]# mysqlbinlog --no-defaults --base64-output=decode-rows -v -v mysql-bin.053373 |more
/*!40019 SET @@session.max_insert_delayed_threads=0*/;
/*!50003 SET @OLD_COMPLETION_TYPE=@@COMPLETION_TYPE,COMPLETION_TYPE=0*/;
DELIMITER /*!*/;
# at 4
#120802 16:36:47 server id 4713306 end_log_pos 106 Start: binlog v 4, server v 5.1.43sp1-br38368-enterprise-gpl-pro-log c
reated 120802 16:36:47
然后用这条命令分析,得出写操作频繁的表
[root@XXX-02 logs]# mysqlbinlog --no-defaults --base64-output=decode-rows -v -v mysql-bin.053373 |awk '/###/{if($0~/UPDATE|INSERT|DELETE/)count[$2" "$NF]++}END{for(i in count)print i,"\t",count[i]}' | column -t | sort -k3nr | more
UPDATE DB.Dynamic 133971
UPDATE DB.User 54834
UPDATE DB.Quota 24938
UPDATE DB.OrderHistory 24482
UPDATE DB.BOSSOperation 19767
UPDATE DB.SmsCount 18235
UPDATE DB.Buddy 10919
INSERT DB.Buddy_Log 10024
=====================================================================
接着查看17:05之后的binlog日志。
[root@XXX-02 logs]# mysqlbinlog --no-defaults --base64-output=decode-rows -v -v mysql-bin.053375 |more
/*!40019 SET @@session.max_insert_delayed_threads=0*/;
/*!50003 SET @OLD_COMPLETION_TYPE=@@COMPLETION_TYPE,COMPLETION_TYPE=0*/;
DELIMITER /*!*/;
# at 4
#120802 17:10:54 server id 4713306 end_log_pos 106 Start: binlog v 4, server v 5.1.43sp1-br38368-enterprise-gpl-pro-log c
reated 120802 17:10:54
# at 106
然后用这条命令分析,得出写操作频繁的表
[root@XXX-02 logs]# mysqlbinlog --no-defaults --base64-output=decode-rows -v -v mysql-bin.053375 |awk '/###/{if($0~/UPDATE|INSERT|DELETE/)count[$2" "$NF]++}END{for(i in count)print i,"\t",count[i]}' | column -t | sort -k3nr
INSERT DB.Buddy_Log 194160
INSERT DB.Buddy 192587
UPDATE DB.Dynamic 62767
UPDATE DB.User 30103
UPDATE DB.OrderHistory 12507
UPDATE DB.Quota 12318
UPDATE DB.BOSSOperation 9892
这样比较直观的显示出哪些表更新较多,然后找开发确认问题,是否是业务增长导致。
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InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

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MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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