MySQL provides an EXPLAIN command, which can analyze the SELECT statement and output the detailed information of the SELECT execution for developers to optimize. The usage of the EXPLAIN command is very simple. The knowledge of MySQL performance analysis and explain usage is in this article What we mainly want to introduce, let us introduce this process through some practical examples!
1. Use the explain statement to view the analysis results
For example,
explain select * from test1 where id=1;
will appear:
id selecttype table type possible_keys key key_len ref rows extra各列。
Among them,
type=const means it is found through the index once;
key=primary, means the primary key is used;
type=all, means full table scan;
key=null means that the index is not used. type=ref, because it is considered to be multiple matching rows at this time. In joint query, it is usually REF.
2. Combined index in MYSQL
Assume that the table has id, key1, key2, key3, and the three form a combined index, then
For example:
where key1=.... where key1=1 and key2=2 where key1=3 and key3=3 and key2=2
According to the leftmost principle, these can all be indexed, such as from test where key1=1 order by key3. If you use explain analysis, only the normal_key index is used, but only for where clause works, and the subsequent order by needs to be sorted.
3. Use slow query analysis
In my.ini:
long_query_time=1 log-slow-queries=d:\mysql5\logs\mysqlslow.log
Record data exceeding 1 second in the slow query log
You can use mysqlsla to analyze it. You can also use mysqlreport, such as
DMS analyzes the percentages of select, update, insert, delete, replace, etc.
4. MYISAM and INNODB locking# In
##myisam, pay attention to the table lock. For example, after multiple innodb, it will be different. Row lock is used, and the above problem does not exist.5. MYSQL transaction configuration item
innodb_flush_log_at_trx_commit=1means that when the transaction is committed, the transaction
log will be written to the disk immediately, and the data and index will also be updated at the same time. .
innodb_flush_log_at_trx_commit=0When the transaction is submitted, the transaction log is not written to the disk immediately. It is written every 1 second.
innodb_flush_log_at_trx_commit=2When the transaction is submitted, the transaction log is written to the disk file immediately (here Just write to the kernel buffer, but not flush to the disk immediately, but flush to the disk every 1 second, updating data and index at the same time
explain usage
EXPLAIN tbl_name或:EXPLAIN [EXTENDED] SELECT select_optionsThe former can get the field structure of a table, etc., and the latter mainly gives some relevant index information, and the focus of today’s discussion is the latter
mysql> explain select * from event; +—-+————-+——-+——+—————+——+———+——+——+——-+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +—-+————-+——-+——+—————+——+———+——+——+——-+ | 1 | SIMPLE | event | ALL | NULL | NULL | NULL | NULL | 13 | | +—-+————-+——-+——+—————+——+———+——+——+——-+ 1 row in set (0.00 sec)The meaning of each
select the sequence number of the query
select_type
select the type of query , mainly to distinguish between ordinary queries and complex queries such as joint queries and subqueries.
table
The rows output
refer to the table used by the joint query. The type.typeGenerally speaking, it is necessary to ensure that the query reaches at least the range level. , it is best to reach ref.
possible_keys
Indicates which index MySQL can use to find the row in the table. If it is empty, there is no relevant index. Performance can be achieved by checking the WHERE clause to see if certain fields are referenced, or by checking that the field is not suitable for indexing.
That’s all the knowledge about MySQL performance analysis and explain usage is introduced here. I believe that my friends also have a certain understanding of this. understanding!
Related recommendations:The role of EXPLAIN in Mysql
Introduction to mysql slow query and EXPLAIN
##MySQL query performance analysis tool-explain keyword analysis
mysql explain type connection type example
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MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

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In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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