Mysql checks whether the event is executed
What are MySQL events?
Mysql5.1 version began to introduce the event concept. Event is a "time trigger", which is different from the event triggering of triggers. Event is similar to the Linux crontab scheduled task and is used for time triggering. By using it alone or by calling a stored procedure, the relevant SQL statement or stored procedure is triggered at a specific point in time.
#How to operate MySQL events?
Check whether the event is enabled:
select @@event_scheduler;
show variables like 'event_scheduler';
show events; show full events ;show create event event_name;
show processlist;
The following EVENT commands are available:
(1) Query the mysql.event table;
(2) Through the SHOW EVENTS command;
(3) Through the SHOW FULL EVENTS command;
(4) By querying the information_schema.events table
(5) SHOW CREATE EVENT.
In short, if the frequency of event usage is low, it is recommended to use the root user for creation and maintenance.
Query the information_schema.events table
select * from information_schema.events limit 1\g;
Open mysql events:
set global event_scheduler = on ;The parameters take effect immediately
Change the configuration file and restart event_scheduler=on
Add the [mysqld] section in my.cnf, and then restart mysql.
Start by specifying event parameters
mysqld... --event_scheduler=on
Usage suggestions
1) Main library Already executed, the slave database ensures that the event will not be executed (unless the event is intentionally created on the slave)
2) Creation, deletion and other operations are strictly prohibited from directly operating the mysql.event table, but through create and other formal Syntax implementation
3) If the created event involves massive data changes, sufficient testing must be done to ensure that it does not affect the existing network service
4) If you need to back up the DB with the event, mysqldump You need to add the --event parameter
The above is the detailed content of Mysql checks whether the event is executed. For more information, please follow other related articles on the PHP Chinese website!

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.

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.

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.

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.

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.

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.
