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!

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.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

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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