For monitoring the master-slave replication delay of the MySQL database, we can use percona's powerful weapon pt-heartbeat to achieve this. pt-heartbeat updates a specific table on the master database using timestamps, then reads the updated timestamp on the slave database and compares it with the local system time to determine the latency. This article mainly uses a script to regularly check the replication delay between the slave database and the master database and send emails for your reference. For the installation of the pt-heartbeat tool, please refer to: Installation and introduction of percona-toolkit. For the introduction of the pt-heartbeat tool, please refer to: Using pt-heartbeat to monitor the master-slave replication delay. 1. Overview of the script. a. Use the --check method in the script regularly. Check the current latency (periodic method can use cron job such as every 1 minute or 5 minutes) b. Pass
1. MySQL master-slave delay monitoring script (pt-heartbeat)
Introduction: For monitoring the master-slave replication delay of the MySQL database, we can use percona’s powerful weapon pt -heartbeat to achieve. pt-heartbeat updates a specific table on the master database using timestamps, then reads the updated timestamp on the slave database and compares it with the local system time to determine the latency. This article mainly uses a script to regularly check the replication delay between the slave database and the master database and send emails for your reference.
2. SQL Server task monitoring script
##Introduction: SQL Server task monitoring script
Introduction: The company's Not all table spaces in the library are unlimited, so you still need to send emails and monitor the table space usage from time to time. The following are some documents that I referred to and modified for use in my work. My data
4. Mysql master-slave monitoring script includes automatic configuration of Gmail email client
Introduction: Commonly used script backups automatically configure msmtp, and use mail to send emails#!/bin/bashSRC=/usr/local/srccd$SRC#installmsmtpclient#ifourwantsupportTLS/SS..
##5.Monitoring scripts commonly used in Oracle database management------greatly simplify operation and maintenance work
Introduction: I have been studying SHELL scripts in recent days, in order to facilitate the company For Oracle operation and maintenance, to simplify management, it is very necessary to learn some SHELL scripts, through some information in books and online6.
Oracle table space growth rate monitoring script
Introduction: Create the tbs_usage table on the data host to reflect the usage of data files in the data, where tbs_timeid is the primary key of the table, and is used as the id that uniquely identifies the database table space on that day to construct tbs7.
## Introduction: 1. Download the mysql monitoring script: gmetric-mysql.sh. The free download address is http://linux.linuxidc.com/. The username and password are both www.linuxidc.com. For details,
8.
Example of shell monitoring script—monitoring mysql master-slave replicationIntroduction: Example of shell monitoring script—monitoring mysql master-slave replication Sharing an example of shell script, It is used to monitor the master-slave replication of mysql database. Friends in need may wish to refer to it. Reprinted from: http://www.jbxue.com/article/14103.html (please indicate the source for reprinting) Contents of this section: Shell script for monitoring mysql master-slave replication. Note: The monitoring script is in r
9.
Finally finished loading the text file from Linux to the database CLOB fieldIntroduction: Background: After developing some monitoring script SHELL, I found that it is very troublesome to log in to the server every day, and there are more and more servers. I originally wanted to use the SendMail function of the system to send it, but the company said I couldn't do it for security reasons. I had to use the application system’s email function! However, the mailing list content of this function is a CLOB field. Seen from the website of senior Gai Guoqiang http://www.eygle.com/arch ##10. SQL Server task monitoring script Introduction: http://webnesbay.com/sql-server-jobs-monitoring-script/ SQL Server BEGIN DECLARE @jobstatusTABLE(Job_ID uniqueidentifier, Last_Run_Date int, Last_Run_Time int, Next_Run_Date int, Next_Run_Time int,Next_Run_Schedule_ID int, Requested_To_Run Looking for a Python monitoring script! mysql - Query the running status of sql at a certain time in the past python - The child process is executed as a zombie process, how to solve it
The above is the detailed content of Recommended 10 example tutorials for monitoring scripts. For more information, please follow other related articles on the PHP Chinese website!

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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