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. MySQL master-slave synchronization related - how long is the master-slave delay?
Introduction: This time we investigate the master-slave delay time separately. The master-slave delay mentioned here does not mean that "the update performance of the slave database cannot keep up with the master database", but "a command slave from the master
##3. [ MySQLDelay] Record of the problem solving process of master-slave delay in production: sync_binlog=
Introduction: After receiving a call from Uncle Sam, the master-slave delay was half an hour Seconds_Behind_Master: 7600 1 , check show full processlist; there is no slow dml sql statement. 2. Check innodb status, there are no lock blocks. 3. Check cacti, which shows that the cpu usage has increased from 4% to 15%, and the Percona InnoDB I/O GT has increased from 90
4. Relieving MySQL write pressure and master-slave delay Try
Introduction: Recently, the unit needs to use MySQL to store a large amount of log data, and the writing pressure is very high. , and there is a large master-slave delay.
5. relay fetch solves the master-slave delay in mysql replication
Introduction: The master-slave delay in mysql replication is a For more common problems, please read a previous blog post: How to solve the problem of master-slave replication delay in MySQL database. According to the solutions currently used by some companies, two have been tested recently. One of them is Alibaba’s relay fetch, which is used to warm up performance data. Of course, there are also other open source open source tools, such as m
6. MySQL master-slave delay leads to errors in reading the data just updated. However, the business logic of updating data and reading data must currently follow the operation. How to solve it?
Introduction: 1. The current business logic is to first update a piece of data to a status of 2, and then count the data with a status of 2. Due to the MySQL master-slave delay, the data is sometimes accurate and sometimes inaccurate. 2. Update data and statistical data are logically together and cannot be separated. For example, I just deposited money and the data table field status changed to 2...
7. relay fetch solves mysql replication master-slave delay_MySQL
Introduction: relay fetch solves mysql replication master-slave delay
##8.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 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 [Related questions and answers Recommendation]: redis How to judge the master-slave delay time Master-slave replication - MySQL master-slave delay is more than 300s, please give me an answer
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MySQLoffersvariousstorageengines,eachsuitedfordifferentusecases:1)InnoDBisidealforapplicationsneedingACIDcomplianceandhighconcurrency,supportingtransactionsandforeignkeys.2)MyISAMisbestforread-heavyworkloads,lackingtransactionsupport.3)Memoryengineis

Common security vulnerabilities in MySQL include SQL injection, weak passwords, improper permission configuration, and unupdated software. 1. SQL injection can be prevented by using preprocessing statements. 2. Weak passwords can be avoided by forcibly using strong password strategies. 3. Improper permission configuration can be resolved through regular review and adjustment of user permissions. 4. Unupdated software can be patched by regularly checking and updating the MySQL version.

Identifying slow queries in MySQL can be achieved by enabling slow query logs and setting thresholds. 1. Enable slow query logs and set thresholds. 2. View and analyze slow query log files, and use tools such as mysqldumpslow or pt-query-digest for in-depth analysis. 3. Optimizing slow queries can be achieved through index optimization, query rewriting and avoiding the use of SELECT*.

To monitor the health and performance of MySQL servers, you should pay attention to system health, performance metrics and query execution. 1) Monitor system health: Use top, htop or SHOWGLOBALSTATUS commands to view CPU, memory, disk I/O and network activities. 2) Track performance indicators: monitor key indicators such as query number per second, average query time and cache hit rate. 3) Ensure query execution optimization: Enable slow query logs, record and optimize queries whose execution time exceeds the set threshold.

The main difference between MySQL and MariaDB is performance, functionality and license: 1. MySQL is developed by Oracle, and MariaDB is its fork. 2. MariaDB may perform better in high load environments. 3.MariaDB provides more storage engines and functions. 4.MySQL adopts a dual license, and MariaDB is completely open source. The existing infrastructure, performance requirements, functional requirements and license costs should be taken into account when choosing.

MySQL uses a GPL license. 1) The GPL license allows the free use, modification and distribution of MySQL, but the modified distribution must comply with GPL. 2) Commercial licenses can avoid public modifications and are suitable for commercial applications that require confidentiality.

The situations when choosing InnoDB instead of MyISAM include: 1) transaction support, 2) high concurrency environment, 3) high data consistency; conversely, the situation when choosing MyISAM includes: 1) mainly read operations, 2) no transaction support is required. InnoDB is suitable for applications that require high data consistency and transaction processing, such as e-commerce platforms, while MyISAM is suitable for read-intensive and transaction-free applications such as blog systems.

In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.


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