Summary of master-slave delay usage

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

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