Stay Away Replication Lag !

Recently, I got a requirement to facilitate backup for the data and a way to analyze it without using the main database. MySQL replication is a process that allows you to easily maintain multiple copies of MySQL data by having them copied automatically from a master to a slave database. 

Panic Starts

Everything was running smoothly in the night I configured it. But the joy didn’t last for long as the traffic hits in the morning, slave starts getting behind the master with few seconds which increases with the activity on the application. At the peak time, it was playing in thousands of second.

 What now, I had to dig deep into MySQL Replication

  • How it works 
  • What can probably cause the lag
  • An approach that minimizes or eliminates it

How MySQL Replication Works

On the master

First of all, master writes replication events to a special log called binary log. This is usually a very lightweight activity because writes are buffered and they are sequential. The binary log file stores data that replication slave will be reading later.

On the replica

When you start replication, two threads are started on the slave:
1. IO thread
This process connects to a master, reads binary log events from the master as they come in and just copies them over to a local log file called relay log.
Even though there’s only one thread reading the binary log from the master and one writing relay log on the slave, very rarely copying of replication events is a slower element of the replication. There could be a network delay, causing a steady delay of a few hundred milliseconds.
If you want to see where IO thread currently is, check the following in “show slave status \G”
Master_Log_File – last file copied from the master (most of the time it would be the same as last binary log written by a master)
Read_Master_Log_Pos – binary log from the master is copied over to the relay log on the slave up until this position.
And then you can compare it to the output of “show master status/G” from the master.

mysql> show master status\G;
*************************** 1. row ***************************
             File: db01-binary-log.000032
         Position: 1008761891
     Binlog_Do_DB: 
 Binlog_Ignore_DB: 
Executed_Gtid_Set: 
1 row in set (0.00 sec)

2. SQL thread
The second process – SQL thread – reads events from a relay log stored locally on the replication slave (the file that was written by IO thread) and then applies them as fast as possible.
Going back to “show slave status /G”, you can get the current status of SQL thread from the following variables:
Relay_Master_Log_File – binary log from the master, that SQL thread is “working on” (in reality it is working on relay log, so it’s just a convenient way to display information)
Exec_Master_Log_Pos – which position from the master binary log is being executed by SQL thread.

mysql> show slave status\G;
*************************** 1. row ***************************
               Slave_IO_State: Waiting for master to send event
                  Master_Host: <master_ip>
                  Master_User: <replication_user>
                  Master_Port: 3306
                Connect_Retry: 60
              Master_Log_File: db01-binary-log.000032
          Read_Master_Log_Pos: 1008768810
               Relay_Log_File: relay-bin.000093
                Relay_Log_Pos: 1008769035
        Relay_Master_Log_File: db01-binary-log.000032
             Slave_IO_Running: Yes
            Slave_SQL_Running: Yes
.
.
          Exec_Master_Log_Pos: 1008768810
              Relay_Log_Space: 1008769305
.
.
        Seconds_Behind_Master: 0
.
.
      Slave_SQL_Running_State: Slave has read all relay log; waiting for more updates
.
.
1 row in set (0.00 sec)

Why Replication Lag Occurred

Replication lag occurs when the slaves cannot keep up with the updates occurring on the master. Unapplied changes accumulate in the slave’s relay logs and the version of the database on the slaves becomes increasingly different from that of the master.

Caught The Culprit

Let me take you through my journey how I crossed the river. 
First, I took the reference to multiple blogs and started gobbling my mind with possible reasons suggesting 

  • Hardware Faults (getting RAID in degraded mode)
  • MySQL Config Updates 
    • setting sync_binlog=1
    • enabling log_slave_updates
    • setting innodb_flush_log_at_trx_commit=1
    • updating slave_parallel_workers to a higher value
    • changing slave_parallel_type to support more parallel workers
  • Restarting Replication 

But unfortunately, or say, it was my benightedness towards Database Administration that I was still searching for that twig which can help me from drowning.
And finally, I found one, my DBA friend who suggested me to look for the Binary Log Format that I am using. Let’s see what it is

Binary Logging Formats

The server uses several logging formats to record information in the binary log. The exact format employed depends on the version of MySQL being used. There are three logging formats:
STATEMENT: With statement-based replication, every SQL statement that could modify data is logged on the master. Then those SQL statements are replayed on the slaves against the same dataset and in the same context. There is always less data that is to be transferred between the master and the slave. But, the data inconsistency issue between the master and the slave that creeps up due to the way this kind of replication works.
ROW: With row-based replication, every “row modification” is logged on the master and is then applied to the slave. With row-based replication, each and every change can be replicated and hence this is the safest form of replication. On a system that frequently UPDATE a large number of rows, it produces very large update logs and generates a lot of network traffic between the master and the slave.
MIXED: A third option is also available: mixed logging. With mixed logging, statement-based logging is used by default, but the logging mode switches automatically to row-based in certain cases.

Changing Binary Log Format

The Binary Log Format is updated on Master MySQL server and requires MySQL service restart to reflect. It can be done for Global, Runtime or Session.

  • set at runtime with –binlog-format=format
  • setting the global (with the SUPER privilege)
  • session value of the binlog_format server variable
mysql> SET GLOBAL binlog_format=MIXED;

mysql> SET SESSION binlog_format=ROW;

mysql> SET binlog_format=STATEMENT; 

So, earlier I was using STATEMENT BinLog Format, which is default one. Since I switched to MIXED BinLog Format, I am very delighted to share the below stats.
Current status of  Master Read and Slave Execute position difference and Slave Lag (in sec), both are ZERO.

Replication Lag (in Seconds) graph for a month, powered by Prometheus-Grafana.

Now, What’s next ??

Setting up MySQL Monitoring with Prometheus

One thing that I love about Prometheus is that it has a multitude of Integration with different services, both officially supported and the third party supported.
Let’s see how can we monitor MySQL with Prometheus.Those who are the starter or new to Prometheus can refer to our this blog.MySQL is a popular opensource relational database system, which exposed a large number of metrics for monitoring but not in Prometheus format. For capturing that data in Prometheus format we use mysqld_exporter.

I am assuming that you have already setup MySQL Server.

Configuration changes in MySQL

For setting up MySQL monitoring, we need a user with reading access on all databases which we can achieve by an existing user also but the good practice is that we should always create a new user in the database for new service.
CREATE USER 'mysqld_exporter'@'localhost' IDENTIFIED BY 'password' WITH MAX_USER_CONNECTIONS 3;
After creating a user we simply have to provide permission to that user.
GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'mysqld_exporter'@'localhost';

Setting up MySQL Exporter

Download the mysqld_exporter from GitHub. We are downloading the 0.11.0 version as per latest release now, change the version in future if you want to download the latest version.
 
wget https://github.com/prometheus/mysqld_exporter/releases/download/v0.11.0/mysqld_exporter-0.11.0.linux-amd64.tar.gz
 
Then simply extract the tar file and move the binary file at the appropriate location.
tar -xvf mysqld_exporter-0.11.0.linux-amd64.tar.gz
mv mysqld_exporter /usr/bin/

Although we can execute the binary simply, but the best practice is to create service for every Third Party binary application. Also, we are assuming that systemd is already installed in your system. If you are using init then you have to create init service for the exporter.

useradd mysqld_exporter
vim /etc/systemd/system/mysqld_exporter.service
[Unit]
Description=MySQL Exporter Service
Wants=network.target
After=network.target

[Service]
User=mysqld_exporter
Group=mysqld_exporter
Environment="DATA_SOURCE_NAME=mysqld_exporter:password@unix(/var/run/mysqd/mysqld.sock)"
Type=simple
ExecStart=/usr/bin/mysqld_exporter
Restart=always

[Install]
WantedBy=multi-user.target
You may need to adjust the socket location of Unix according to your environment
If you go and visit the http://localhost.com:9104/metrics, you will be able to see them.

Prometheus Configurations

For scrapping metrics from mysqld_exporter in Prometheus we have to make some configuration changes in Prometheus, the changes are not fancy, we just have to add another job for mysqld_exporter, like this:-
vim /etc/prometheus/prometheus.yml
  - job_name: 'mysqld_exporter'
    static_configs:
      - targets:
          - :9104

After the configuration changes, we just have to restart the Prometheus server.

systemctl restart prometheus

Then, if you go to the Prometheus server you can find the MySQL metrics there like this:-

So In this blog, we have covered MySQL configuration changes for Prometheus, mysqld_exporter setup and Prometheus configuration changes.
In the next part, we will discuss how to create a visually impressive dashboard in Grafana for better visualization of MySQL metrics. See you soon… 🙂

Automated DB Updater

In continuation with my blog series I’m finally introducing a automated db updater tool. You can read about the idea in previous blogs by going .

The short form of my tool is ADU(Automated DB Updater). Now some details about this tool

Each application will have database_script folder at the root level, this folder will contain folders corresponding to each release i.e release1, release2, release3…

A database release folder will contain

  • Meta file :sql_sequence.txt, this file will contain the sequence in which sql files will be executed, only files mentioned in this file will be entertained
  • SQL Files : A sql file must have a naming convention like this __.sql/__.sql

Process of automatic execution of scripts on an environment

  • Input
    • release_name : to figure out the folder from where scripts will be executed
    • environment : Environment on which scripts will be executed
  • Execution
    • sql_sequence.txt file will be read line by line having one sql file name in each line
    • The sql file will be verified whether it has been already executed or not
    • If the sql file is already executed then two conditions are verified
      • A new version of sql should be available
      • Undo version of last executed sql should be present
    • After execution of undo file the latest version of the sql file will be executed and the info is stored accordingly that it has been executed so that it will not be picked again
  • Validations & Boundary Conditions
    • All the files mentioned in sql_sequence.txt should exist.
    • Undo script should be present for all the versions of a sql file barring the latest version of sql file.
    • Undo script will only be executed if next version of script is available.

Very soon I’ll share the github url of this project keep waiting 🙂

Automated Database Update Or Rollback

One of the important step during release is doing database update and rollback in case something goes wrong, usually people perform this operation manually. In this blog I’ll talk about how we can automate this process by following some convention.

Here I’m taking mysql database as an example we can have same conventions for other databases also

Convention to manage rollback/updates of a release

  • Each project codebase at it’s root will have a folder database_scripts
  • The database_scripts folder will contain folder for each release i.e Release1_1, Release2_0…
  • The database scripts release folder will in turn contains two folders update & rollback which will contain updates & rollbacks scripts for a release.

Automating the rollback/update

  • The update folder will have a source input file FileSequencer.txt. This file will point to all the update scripts in correct order that needs to be executed for the release
  • In the similar manner rollback folder will have a source input file FileSequencer.txt. This file will point to all the rollback scripts in correct order that needs to be executed for the release
  • At last we will have a utility shell script, this script will take db details and execute all the scripts referred in FileSequencer.txt using mysql command