MySQL错误:ERROR 1175: You are using safe update mode 解决方法
操作MySQL数据库,删除表中的某一行数据提示如下错误:ERROR 1175 (HY000): You are using safe update mode and you tried to u
MySQL错误:ERROR 1175: You are using safe update mode 解决方法
[日期:2015-09-14] 来源:Linux社区 作者:mofansheng [字体:]
操作MySQL数据库,,删除表中的某一行数据提示如下错误:ERROR 1175 (HY000): You are using safe update mode and you tried to update a table without a WHERE that uses a KEY column
错误提示:正在使用安全更新模式,尝试更新表没有使用键列的where条件;
原因是:mysql有个叫SQL_SAFE_UPDATES的变量,为了数据库更新操作的安全性,此值默认为1,所以才会出现更新失败的情况。
举例如下:
1
2
3
4
5
6
7
8
9
10
11
12
13
mysql> select * from test;
+----+--------+
| id | name |
+----+--------+
| 1 | anglea |
| 2 | baby |
| 3 | jerry |
| 4 | tom |
| 5 | yong |
+----+--------+
mysql> delete from test where name='yong';
ERROR 1175 (HY000): You are using safe update mode and you tried to update a table without a WHERE that uses a KEY column
查看设置:
1
2
3
4
5
6
mysql> show variables like 'sql_safe%';
+------------------+-------+
| Variable_name | Value |
+------------------+-------+
| sql_safe_updates | ON |
+------------------+-------+
下面是SQL_SAFE_UPDATES变量为0和1时的取值说明:
SQL_SAFE_UPDATES有两个取值0和1, 或ON 和OFF;
SQL_SAFE_UPDATES = 1,ON时,不带where和limit条件的update和delete操作语句是无法执行的,即使是有where和limit条件但不带key column的update和delete也不能执行。
SQL_SAFE_UPDATES =0,OFF时,update和delete操作将会顺利执行。那么很显然,此变量的默认值是1。
所以,出现1175错误的时候,可以先设置SQL_SAFE_UPDATES的值为0 OFF,然后再执行更新;
以下2条命令都可以;
mysql> set sql_safe_updates=0;
mysql> set sql_safe_updates=off;
1
2
3
4
5
6
7
8
9
mysql> show variables like 'sql_safe%';
+------------------+-------+
| Variable_name | Value |
+------------------+-------+
| sql_safe_updates | OFF |
+------------------+-------+
mysql> delete from test where name='yong';
Query OK, 1 row affected (0.00 sec)
更改只在当前生效,退出mysql,再次登录后恢复为默认。
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 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.

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 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.
