解决MySQL查询数据不一致诟病_MySQL
bitsCN.com
最近出现一个很奇怪的MySQL问题,使用不同select语句查询全部数据集居然得到不同的记录数.select * 得到4条记录,select 字段得到的是3条记录。
具体问题可以看下面的查询结果:
mysql> select * from table_myisam;
+----------+-------+-----------+------+
| datetime | uid | content | type |
+----------+-------+-----------+------+
| 1 | uid_1 | content_1 | 1 |
| 2 | uid_2 | content_2 | 1 |
| 4 | uid_4 | content_4 | 1 |
| 3 | uid_3 | content_3 | 1 |
+----------+-------+-----------+------+
4 rows in set (0.00 sec)
mysql> select uid from table_myisam;
+-------+
| uid |
+-------+
| uid_1 |
| uid_2 |
| uid_4 |
+-------+
3 rows in set (0.00 sec)
通过select uid只得到3行记录,丢失了其中uid='uid_3‘的记录.本来百思不得其解,后来在同事的提醒下使用了check table,才找到问题的所在.
mysql> check table table_myisam;
+--------------------+-------+----------+-------------------------------------------------------+
| Table | Op | Msg_type | Msg_text |
+--------------------+-------+----------+-------------------------------------------------------+
| qitai.table_myisam | check | warning | 1 client is using or hasn't closed the table properly |
| qitai.table_myisam | check | warning | Size of indexfile is: 2049 Should be: 2048 |
| qitai.table_myisam | check | error | Found 3 keys of 4 |
| qitai.table_myisam | check | error | Corrupt |
+--------------------+-------+----------+-------------------------------------------------------+
查询数据不一致的原因是table_myisam的索引文件损坏了,对应的索引文件table_myisam.MYI与数据文件 table_myisam.MYD不一致.select *并不需要遍历每个索引项,只需要获取第一条记录,根据链表顺序访问,因此当前的索引损坏并没有影响到select *的使用.而select uid需要遍历所有索引项,因而只获取到损坏状态,三条索引记录。
解决方案是使用repair table进行表索引的修复。
mysql> repair table table_myisam;
+--------------------+--------+----------+----------+
| Table | Op | Msg_type | Msg_text |
+--------------------+--------+----------+----------+
| qitai.table_myisam | repair | status | OK |
+--------------------+--------+----------+----------+
1 row in set (0.00 sec)
修复后使用check table可以看到表状态变成正常,使用select *与select uid都能获取到4条记录.
mysql> check table table_myisam;
+--------------------+-------+----------+----------+
| Table | Op | Msg_type | Msg_text |
+--------------------+-------+----------+----------+
| qitai.table_myisam | check | status | OK |
+--------------------+-------+----------+----------+
1 row in set (0.00 sec)

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

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



Big data structure processing skills: Chunking: Break down the data set and process it in chunks to reduce memory consumption. Generator: Generate data items one by one without loading the entire data set, suitable for unlimited data sets. Streaming: Read files or query results line by line, suitable for large files or remote data. External storage: For very large data sets, store the data in a database or NoSQL.

Backing up and restoring a MySQL database in PHP can be achieved by following these steps: Back up the database: Use the mysqldump command to dump the database into a SQL file. Restore database: Use the mysql command to restore the database from SQL files.

MySQL query performance can be optimized by building indexes that reduce lookup time from linear complexity to logarithmic complexity. Use PreparedStatements to prevent SQL injection and improve query performance. Limit query results and reduce the amount of data processed by the server. Optimize join queries, including using appropriate join types, creating indexes, and considering using subqueries. Analyze queries to identify bottlenecks; use caching to reduce database load; optimize PHP code to minimize overhead.

How to insert data into MySQL table? Connect to the database: Use mysqli to establish a connection to the database. Prepare the SQL query: Write an INSERT statement to specify the columns and values to be inserted. Execute query: Use the query() method to execute the insertion query. If successful, a confirmation message will be output.

To use MySQL stored procedures in PHP: Use PDO or the MySQLi extension to connect to a MySQL database. Prepare the statement to call the stored procedure. Execute the stored procedure. Process the result set (if the stored procedure returns results). Close the database connection.

Creating a MySQL table using PHP requires the following steps: Connect to the database. Create the database if it does not exist. Select a database. Create table. Execute the query. Close the connection.

One of the major changes introduced in MySQL 8.4 (the latest LTS release as of 2024) is that the "MySQL Native Password" plugin is no longer enabled by default. Further, MySQL 9.0 removes this plugin completely. This change affects PHP and other app

Oracle database and MySQL are both databases based on the relational model, but Oracle is superior in terms of compatibility, scalability, data types and security; while MySQL focuses on speed and flexibility and is more suitable for small to medium-sized data sets. . ① Oracle provides a wide range of data types, ② provides advanced security features, ③ is suitable for enterprise-level applications; ① MySQL supports NoSQL data types, ② has fewer security measures, and ③ is suitable for small to medium-sized applications.
