生产环境高并发MySQLSQL语句优化10条案例声明:本案例为老男孩linux运维实战培训的数据库优化教学案例,如有转载务必保留本版权声明在实际工作中,运维或DBA人员
?,'?,'?,'绉︽矝','寰愬厠');
最终解决方案:有用到boy_title_upper的索引,慢的原因再观察
案例4:分析归类后的慢查询日志如下。
______________________________________________________________________ 004 ___
Count: 378(6.04%)
Time: 2604 s total, 6.888889 s avg, 3 s to 65 s max(7.63%)
95% of Time : 2031 s total, 5.657382 s avg, 3 s to 17 s max
Lock Time (s) : 0 total, 0 avg, 0 to 0 max(0.00%)
95% of Lock : 0 total, 0 avg, 0 to 0 max
Rows sent: 5 avg, 0 to 10 max(3.24%)
Rows examined : 2.81k avg, 92 to 24.91k max(27.61%)
Database: docresource
Users:
ett_oldboy@ 10.0.1.28 : 100.00% (378) of query, 100.00% (6256) of all users
Query abstract:
SELECT h.boy_id ,MAX(h.boy_his_edit_time) AS boy_his_edit_time FROM t_boy_his h WHERE h.boy_his_isteammate=N AND h.boy_his_state=N AND h.boy_his_editor_user_id_encrypt='S' GROUP BY h.boy_id ORDER BY h.boy_his_edit_time DESC LIMIT N,N;
Query sample:
selecth.boy_id ,max(h.boy_his_edit_time) from t_boy_his hwhere h.boy_his_editor_user_id_encrypt='pGVpWQVlYdglTaQ0Z' and h.boy_his_isteammate=1 and h.boy_his_state=1 group by h.boy_id order by h.boy_his_edit_time desc limit 0,4;
最终解决方案:
alter table t_boy_his add index editor_user_iden_docid(boy_his_editor_user_id_encrypt, boy_id);
1,sql改成:SELECT h.boy_id ,MAX(h.boy_his_edit_time) AS boy_his_edit_time FROM t_boy_his h WHERE h.boy_his_isteammate='pGVpWQVlYdglTaQ0Z' AND h.boy_his_state=1 AND h.boy_his_editor_user_id_encrypt='S' GROUP BY h.boy_id ORDER BY null
2,再在程序里,用java对boy_his_edit_time排序。
案例5:分析归类后的慢查询日志如下。
______________________________________________________________________ 005 ___
Count: 211(3.37%)
Time: 1218 s total, 5.772512 s avg, 3 s to 30 s max(3.57%)
95% of Time : 1022 s total, 5.11 s avg, 3 s to 13 s max
Lock Time (s) : 0 total, 0 avg, 0 to 0 max(0.00%)
95% of Lock : 0 total, 0 avg, 0 to 0 max
Rows sent: 2 avg, 0 to 2 max(0.72%)
Rows examined : 3.61k avg, 110 to 19.59k max(19.81%)
Database:
Users:
ett_oldboy@ 10.0.1.28 : 100.00% (211) of query, 100.00% (6256) of all users
Query abstract:
SELECT h.boy_id ,MAX(h.boy_his_edit_time) AS boy_his_edit_time FROM t_boy_his h WHERE h.boy_his_isteammate=N AND h.boy_his_state=N AND h.boy_his_editor_user_id=N GROUP BY h.boy_id ORDER BY h.boy_his_edit_time DESC LIMIT N,N;
Query sample:
selecth.boy_id ,max(h.boy_his_edit_time) as boy_his_edit_time from t_boy_his hwhere h.boy_his_isteammate=1 and h.boy_his_state=1 and h.boy_his_editor_user_id=300000178518 group by h.boy_id order by h.boy_his_edit_time desc limit 0,2;
最终解决方案:此sql由查前面一个sql代替,删除。
案例6:分析归类后的慢查询日志如下。
______________________________________________________________________ 006 ___
Count: 30(0.48%)
Time: 940 s total, 31.333333 s avg, 3 s to 77 s max(2.76%)
95% of Time : 790 s total, 28.214286 s avg, 3 s to 69 s max
Lock Time (s) : 0 total, 0 avg, 0 to 0 max(0.00%)
95% of Lock : 0 total, 0 avg, 0 to 0 max
Rows sent: 1 avg, 1 to 1 max(0.05%)
Rows examined : 10.96k avg, 1.82k to 28.12k max(8.56%)
Database: docresource
Users:
ett_oldboy@ 10.0.1.28 : 100.00% (30) of query, 100.00% (6256) of all users
Query abstract:

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.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

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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