1. redis-sentinel /path/to/sentinel.conf
2. redis-server /path/to/sentinel.conf --sentinel

1. sentinel monitor mymaster 127.0.0.1 6379 2 #mymaster 就是主的名字；127是ip地址；6379端口；2是法定人数（quorum） sentinel down-after-milliseconds mymaster 60000 sentinel failover-timeout mymaster 180000 sentinel parallel-syncs mymaster 1 sentinel monitor resque 192.168.1.3 6380 4 sentinel down-after-milliseconds resque 10000 sentinel failover-timeout resque 180000 sentinel parallel-syncs resque 5 #优化设置 min-slaves-to-write 1 min-slaves-max-lag 10

   优化解释

2. 如果网络容易有问题，主可能被新的slave代替，而老的master 仍然是master，client写入到老master时候，这个写会丢失。但是如果两个slave 掉电则master不会被写入。这个就是利弊（纤细的看官方文档）

Setup Redis Failover with Redis Sentinel

Recently I’ve been playing with redis, to study as an alternative for memcached for one project. One of my main requirements was to implement a good failover solution for a key-value memory database, actually you’ve many ways to do it from code and memcached (doing get/set checking the availability of the servers) or better solution use the repcached patch for memcached, the first it’s not a clean solution at all and I was not very convinced with repcached. After get more involved in all the features that redis can offer, one of the interesting features is the persistence on disk. Redis stores all in memory key/value pairs on disk, so in case of failure after recovery you’ll get the last data stored from the last snapshot in memory. Note that the store to disk is not an operation effected on the fly, so you can lose some data, although redis offers different kind of setup to store on disk it’s important that you understand how it works. Anyway remember you’re working with a memory key-value cache solution, so it’s not the solution to make persistent critical data. A good read that I recommend to understand how persistence works:
http://oldblog.antirez.com/post/redis-persistence-demystified.html

One of the other interesting features that I really appreciate of this solution, is the possibility to work with different data structures like lists, hashes, sets and sorted sets. So you’ve more flexibility to work to store different values on cache on the same key and have a support for native data types provided from the client library of your programming language used. You can take a look there to check the different data structures used in redis:

http://redis.io/topics/data-types

After this small introduction of some tips that why I choose redis, now I’ll talk about the failover solution. Redis supports master-slave asynchronous replication and sentinel will provides the failover, which comes from redis version 2.6, but from the project documentation they recommend the version shipped with redis 2.8, seems like they did very important enhances with the last version. Sentinel is a distributed system, which the different processes are communicated between them over messages and using the different protocols to elect a new master and inform the address of the current master of the cluster to the client.

We’ll run sentinel in our systems as a separate daemon listening in a different port, which will communicate with the other sentinels setup on the cluster to alert in event of a node failure and choose a new master. Sentinel will change our configuration files of our servers just to attach a recovered node on the cluster (setup as slave) or promote a slave as a master. The basic process to choose a new master basically is this:

1.- One sentinel node detects a server failure on the cluster in the number of milliseconds setup in the directive “down-after-milliseconds“. At this moment this sentinel node mark this instance as subjectively down (SDOWN).

2.- When the enough number of sentinels agreed is reached about this master failure , then this node is marked as objectively down (ODOWN), then the failover trigger is processed. The number of sentinels it’s setup for master.

3.- After the trigger failover, it’s not still enough to perform a failover, since it’s subject to a quorum process and at least a majority of Sentinels must authorized the Sentinel to failover.

Basically we’ll need a minimum of three nodes in our cluster to setup our redis failover solution. In my case I choose to use two redis servers (master & slave) both running sentinel, and one third node running just sentinel for the quorum process. For more information about the failover process and sentinel you can check the official documentation:

http://redis.io/topics/sentinel

After this basic tips about how it works redis & sentinel, we can begin with the setup. For this environment I used a total of three servers running Ubuntu 14.04. All that I need to do is install redis-server from repositories. Note if you’re using other GNU/Linux distribution or an older Ubuntu version you’ll need to compile and install by hand.

– Setup for redis sentinels (nodes 1,2,3) /etc/redis/sentinel.conf:

– Create init scripts for sentinels (nodes 1,2,3) /etc/init.d/redis-sentinel:

– Give execution permission on the script:

– Start the script automatically at boot time:

– Change owner & group for /etc/redis/ to allow sentinel change the configuration files:

– On node 3 I’ll not use redis-server, so I can remove the init script:

– Edit the configuration of redis server on nodes 1,2 (/etc/redis/redis.conf), with the proper setup for your project. The unique requirement to work with seninel it’s just to setup the proper ip address on bind directive. All the directives are commented on the file and are very clear, so take your time to adapt redis to your project.

– Connecting to our redis cluster:

Now we’ve our redis cluster ready to store our data. In my case I work with Perl and currently I’m using this library: http://search.cpan.org/dist/Redis/lib/Redis.pm which you can install using the cpan tool. Note the version coming from ubuntu repositories (libredis-perl) it’s quite old and doesn’t implement the sentinel interface, so it’s better to install the module from cpan.

So to connect to our cluster as documented on the client library I used the next chain:

So basically the library will tries to connect with the different sentinel servers and get the address of the current master redis servers which will get and store the data in our system.

Another solution instead to connect from our scripts to the different sentinel servers, is use haproxy as backend and as a single server connection for our clients. HaProxy should check on the different redis servers the string “role:master” and redirect all the requests to this server.

Take a look on the library documentation for your programming language used in your project. The different clients currently supported by redis are listed here:

http://redis.io/clients

– Sources:
http://redis.io/documentation