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Ježek
Ježek

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Set up Redis diskless replication

If you are building a production-grade application and your application uses Redis database (RDB) then you should replicate your data, so that in case of any disaster for your master data you can still use the replicated data.

Redis provides replication in two ways:

  • Master-Slave replication
  • Redis Cluster Replication

The most basic form of replication in Redis is Master-Slave replication. Data from the Master node is replicated to one or more Slave nodes (Replicas). Replicas can serve read operations, but all write operations are performed on the Master.

Master-Slave replication is a method of replicating RDB in order to improve performance and redundancy. The system has a Master that acts as the interface to the outside world, handling all external read and write requests. Whenever a change is made to the Master RDB, the change is propagated to the Replica connected to the Master. Master-Slave replication can be synchronous (in which changes to the replica RDB are made instantaneously) or asynchronous (in which changes are made only after some time).

The use cases of Master-Slave replication include:

  • Improving performance by scaling out the workload to multiple slave RDB.
  • Creating backups from the replica RDB, without disrupting the master RDB.
  • Running BI and analytics workloads on the slave RDB, without disrupting the master RDB.

By default, Master-Slave replication in Redis is asynchronous. Redis Master-Slave replication is non-blocking, which means that the Master can continue to operate while the Replica synchronize the data. In addition, Replica will be able to handle queries using the out-of-date version of the RDB, except for a brief period during which the new data is loaded.

Redis Replicas are able to perform a partial resynchronization with the Master if the replication link is lost for a relatively small amount of time. New Replicas and reconnecting Replicas that are not able to continue the replication process just receiving differences, need to do what is called a "full synchronization". An RDB file is transmitted from the Master to the Replicas.

The transmission can happen in two different ways:

  • disk-backed: the Master creates a new process redis-rdb-bgsave that writes the RDB file on disk. Later the file is transferred by the parent process redis-server to the Replicas incrementally.
  • diskless: the Master creates a new process redis-rdb-to-slaves that directly writes the RDB file to replica sockets, without touching the disk at all.

Replication strategy

With slow disks and fast (large bandwidth) networks, diskless replication works better: this can provide faster synchronization times.


The problem

In order to persist the RDB on disk you have to define save directives in redis.conf configuration file, also you can run BGSAVE command manually.

According to Redis RDB disadvantages:

RDB needs to fork() often in order to persist on disk using a child process. fork() can be time consuming if the dataset is big, and may result in Redis stopping serving clients for some milliseconds or even for one second if the dataset is very big and the CPU performance is not great.

The name of the child process is redis-rdb-bgsave.

According to the Linux man page:

fork() creates a new process by duplicating the calling process. The new process, referred to as the child, is an exact duplicate of the calling process, referred to as the parent. Under Linux, fork() is implemented using copy-on-write pages, so the only penalty that it incurs is the time and memory required to duplicate the parent's page tables, and to create a unique task structure for the child.

Thus, fork() can cause the Master to freeze when performing BGSAVE, the related problem is described in the issue #9503 and antirez blog posts #83, #84.

The diskless replication is an option to mitigate the problem.


Prerequisites

You have installed Redis with Sentinel in accordance with article Set up a Redis Sentinel

Configuring the diskless replication

  1. In order to disable forking the child process redis-rdb-bgsave you have to disable RDB persistence by commenting out all "save" lines in /etc/redis/redis.conf on all nodes:

    # save 900 1
    # save 300 10
    # save 60 10000
    
  2. To enable the diskless replication set following mandatory parameters on all nodes:

    repl-diskless-sync yes
    repl-diskless-sync-delay 5
    repl-diskless-load on-empty-db
    

    repl-diskless-sync-delay 5: the delay in seconds the server waits in order to spawn the child that transfers the RDB via socket to the replicas.
    repl-diskless-load on-empty-db: use diskless loading the RDB directly from the socket only when it is completely safe for Replica.

When the diskless replication is enabled there are several scenarios could occur:

  1. Slave node is rebooted:

    Scenario #1

    This scenario is not abnormal. After Slave node rebooted Master performs "full synchronization" with Replica.

  2. Master node is powered off:

    Scenario #2

    This scenario is also not abnormal as well, because of sometimes shutting down a node is required for a long time due to maintenance tasks. In this case, Sentinel promotes Replica node to Master, and Replica's RDB in memory remains the same as before the failover.

    After the old Master node is loaded, it will become a Replica and "full synchronization" will be performed in accordance with Scenario #1

  3. The process "redis-server" has been killed on Master node

    Scenario #3a

    This scenario is dangerous because of the risk of data loss on all nodes as described in antirez blog post #80.

To eliminate the possibility of the dangerous scenario #3, it is necessary to add a delay before starting the 'redis-server' process on the Master node so that Sentinel would promote one of the Replicas to Master:

Scenario #3b

  1. Save the following bash-script on all nodes as redis-wait-for-slave-role.sh to the folder /usr/local/bin/:

    #!/bin/bash
    
    if [[ $# -ne 2 ]]; then
      echo "Illegal number of parameters" >&2
      exit 2
    fi
    
    IFS=","
    TIME_OUT_COMMAND=5s
    
    redis_conf_path="$1"
    hosts_ip="$2"
    
    my_ip=$(hostname --ip-address)
    password=$(awk '/^requirepass/ {print $2}' $redis_conf_path | tr -d '\"')
    
    get_role() {
      echo -n "Getting a role from the node '$host' ... "  1>&2
      local role=$(timeout $TIME_OUT_COMMAND \
                   redis-cli -h $host -p 6379 --pass $password --no-auth-warning info replication | \
                   awk '/^role/ {split($0,a,":");print a[2]}' | \
                   tr -d '\r')
      echo $role 1>&2
      echo $role
    }
    
    while :; do
      for host in $hosts_ip; do
        if [ $host != $my_ip ]; then
          role=$(get_role)
          if [ "$role" = 'master' ]; then
            break 2
          fi
        fi 
      done
    
      sleep 1
    done
    
  2. Make the file executable:

    $ sudo chmod +x /usr/local/bin/redis-wait-for-slave-role.sh
    
  3. Run the following command on all nodes:

    $ sudo systemctl edit redis-server.service
    
  4. Add new Service section:

    [Service]
    ExecStartPre=/usr/local/bin/redis-wait-for-slave-role.sh  /etc/redis/redis.conf 10.0.0.21,10.0.0.22,10.0.0.23
    TimeoutStartSec=infinity
    

    10.0.0.21,10.0.0.22,10.0.0.23: IPs of Master and Slave nodes
    TimeoutStartSec=infinity: if you are using a version of systemd older than 229, you will need to use 0 instead of infinity to disable the timeout.

  5. Restart redis-server service on all Slave nodes only:

    $ sudo systemctl restart redis-server.service
    
  6. Check redis-server service started:

    $ sudo systemctl status redis-server.service
    ● redis-server.service - Advanced key-value store
     Loaded: loaded (/lib/systemd/system/redis-server.service; enabled; vendor preset: enabled)
    Drop-In: /etc/systemd/system/redis-server.service.d
             └─override.conf
     Active: active (running) since Tue 2024-09-24 14:53:07 MSK; 17s ago
       Docs: http://redis.io/documentation,
             man:redis-server(1)
    Process: 390540 ExecStartPre=/usr/local/bin/redis-wait-for-slave-role.sh /etc/redis/redis.conf 10.0.0.21,10.0.0.22,10.0.0.23 (code=exited, status=0/SUCCESS)
    Main PID: 390549 (redis-server)
     Status: "MASTER <-> REPLICA sync: Finished with success. Ready to accept connections in read-write mode."
      Tasks: 5 (limit: 7057)
     Memory: 2.2G
        CPU: 6.536s
     CGroup: /system.slice/redis-server.service
             └─390549 /usr/bin/redis-server 0.0.0.0:6379    
    Sep 24 14:53:06 redis-3 systemd[1]: Starting Advanced key-value store...
    Sep 24 14:53:06 redis-3 redis-wait-for-slave-role.sh[390543]: Getting a role from the node '10.0.0.21' ... master
    Sep 24 14:53:07 redis-3 systemd[1]: Started Advanced key-value store.
    
  7. Restart redis-server service on the old Master node:

    $ sudo systemctl restart redis-server.service
    
  8. Check redis-server service started:

    $ sudo systemctl status redis-server.service
    ● redis-server.service - Advanced key-value store
     Loaded: loaded (/lib/systemd/system/redis-server.service; enabled; vendor preset: enabled)
    Drop-In: /etc/systemd/system/redis-server.service.d
             └─override.conf
     Active: active (running) since Tue 2024-09-24 14:58:33 MSK; 6min ago
       Docs: http://redis.io/documentation,
             man:redis-server(1)
    Process: 27935 ExecStartPre=/usr/local/bin/redis-wait-for-slave-role.sh /etc/redis/redis.conf 10.0.0.21,10.0.0.22,10.0.0.23 (code=exited, status=0/SUCCESS)
    Main PID: 28014 (redis-server)
     Status: "MASTER <-> REPLICA sync: Finished with success. Ready to accept connections in read-write mode."
      Tasks: 5 (limit: 7057)
     Memory: 2.2G
        CPU: 9.343s
     CGroup: /system.slice/redis-server.service
             └─28014 /usr/bin/redis-server 0.0.0.0:6379
    Sep 24 14:58:16 redis-1 redis-wait-for-slave-role.sh[27969]: Getting a role from the node '10.0.0.22' ... slave
    Sep 24 14:58:19 redis-1 redis-wait-for-slave-role.sh[27976]: Getting a role from the node '10.0.0.23' ... slave
    Sep 24 14:58:25 redis-1 redis-wait-for-slave-role.sh[27984]: Getting a role from the node '10.0.0.22' ... slave
    Sep 24 14:58:25 redis-1 redis-wait-for-slave-role.sh[27991]: Getting a role from the node '10.0.0.23' ... slave
    Sep 24 14:58:31 redis-1 redis-wait-for-slave-role.sh[27999]: Getting a role from the node '10.0.0.22' ... slave
    Sep 24 14:58:31 redis-1 redis-wait-for-slave-role.sh[28007]: Getting a role from the node '10.0.0.23' ... master
    Sep 24 14:58:33 redis-1 systemd[1]: Started Advanced key-value store.
    

Testing the failover

This section shows to test the failover of the high availability Redis using Sentinel with enabled diskless replication.

  1. Find new Master node by running the following command on a Sentinel node:

    $ redis-cli -p 26379 --askpass sentinel get-master-addr-by-name mymaster
    Please input password: ****************
    1) "10.0.0.23"
    2) "6379"
    
  2. Set new test key in Master:

    $ redis-cli -h 10.0.0.23 -p 6379 --askpass set test_key Hello!
    Please input password: ****************
    OK
    
  3. Check the value of this key on all Replicas:

    $ redis-cli -h 10.0.0.21 -p 6379 --askpass get test_key
    Please input password: ****************
    "Hello!"
    $ redis-cli -h 10.0.0.22 -p 6379 --askpass get test_key
    Please input password: ****************
    "Hello!"
    
  4. Execute the failover manually running following command:

    $ redis-cli -p 26379 --askpass sentinel failover mymaster
    Please input password: ****************
    OK
    
  5. Find new Master node by running the following command on a Sentinel node:

    $ redis-cli -p 26379 --askpass sentinel get-master-addr-by-name mymaster
    Please input password: ****************
    1) "10.0.0.21"
    2) "6379"
    
  6. Check the value of the test key on the new Master and all Replicas:

    $ redis-cli -h 10.0.0.21 -p 6379 --askpass get test_key
    Please input password: ****************
    "Hello!"
    $ redis-cli -h 10.0.0.22 -p 6379 --askpass get test_key
    Please input password: ****************
    "Hello!"
    $ redis-cli -h 10.0.0.23 -p 6379 --askpass get test_key
    Please input password: ****************
    "Hello!"
    
  7. Delete the RDB file on the Master node (don't do this on production environment):

    $ rm /var/lib/redis/dump.rdb 
    
  8. Kill the redis-server process on the Master node:

    pkill 'redis-server'
    
  9. Wait for the redis-server process to start:

    $ systemctl status redis-server.service 
    ● redis-server.service - Advanced key-value store
     Loaded: loaded (/lib/systemd/system/redis-server.service; enabled; vendor preset: enabled)
    Drop-In: /etc/systemd/system/redis-server.service.d
             └─override.conf
     Active: active (running) since Tue 2024-09-24 21:42:13 MSK; 23s ago
       Docs: http://redis.io/documentation,
             man:redis-server(1)
    Process: 63631 ExecStartPre=/usr/local/bin/redis-wait-for-slave-role.sh /etc/redis/redis.conf 10.0.0.21,10.0.0.22,10.0.0.23 (code=exited, status=0/SUCCESS)
    Main PID: 64578 (redis-server)
     Status: "Ready to accept connections"
      Tasks: 5 (limit: 7057)
     Memory: 69.1M
        CPU: 1.163s
     CGroup: /system.slice/redis-server.service
             └─64578 /usr/bin/redis-server 0.0.0.0:6379
    
  10. Check the value of the test key on the new Master and all Replicas:

    $ redis-cli -h 10.0.0.21 -p 6379 --askpass get test_key
    Please input password: ****************
    "Hello!"
    $ redis-cli -h 10.0.0.22 -p 6379 --askpass get test_key
    Please input password: ****************
    "Hello!"
    $ redis-cli -h 10.0.0.23 -p 6379 --askpass get test_key
    Please input password: ****************
    "Hello!"
    

Summary

The concept of replication without persistence is obviously impressive and causes anxiety and even wariness. Supporting diskless replication removes undesirable side-effect of disks (since disk I/O is slow and lazy), also it eliminates heavy forking a child process, being used for RDB persistence, with large datasets in memory.

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