Example analysis of high availability in Redis sentry mode
1. Preface
Redis high availability has two modes: Sentinel mode
and Cluster mode
, this article builds one master, two slaves and three sentinels
Redis high availability service based on the sentinel mode.
1. Goals and gains
One master, two slaves and three sentinels
Redis service can basically meet the high availability requirements of small and medium-sized projects. Use Supervisor to monitor and manage Redis instances. . Through this article, the following goals will be achieved:
Sentinel mode service planning and construction
Sentinel mode service is compared to a single machine The version service is more reliable and suitable for scenarios where reading and writing are separated, the amount of data is not large, and reliability and stability are required.
Client integration and read-write separation
Connect to the sentinel mode through the Spring framework to complete the production environment Common operations.
2. Port planning
Port planning is the first step to complete this solution.
2. Single-machine simulation
Single-machine simulation is to simulate operations on a physical machine or virtual machine to restore the intermediate process of the original solution as much as possible. Usually Used during the learning or development phase.
In order to simplify the operation, the Redis service makes the following conventions: data is not persisted to disk; service instances run as foreground processes; node configuration files use the default configuration file as a template; there is no password verification.
(1) Service planning
1. Redis instance
When the service is started for the first time, it clearly knows which node is the master node. When the service is running for a long time and When a master-slave switch occurs, it is not possible to display which node is the master node and needs to be queried indirectly through the command line.
Node | Host | Port | Role | Additional configuration |
---|---|---|---|---|
node01 | 127.0.0.1 | 6380 | As the master service when started for the first time | |
node02 | 127.0.0.1 | 6381 | As a slave service when started for the first time | replicaof 127.0.0.1 6380 |
node03 | 127.0.0.1 | 6382 | As a slave service when started for the first time | replicaof 127.0. 0.1 6380 |
Additional configuration refers to the new configuration in the node configuration file when the Redis service instance is started for the first time.
2. Sentinel Service
There is no master-slave distinction between Sentinel service nodes, and all nodes are on an equal footing. When an exception occurs in the main service, the sentinel service will trigger the voting strategy and select candidates from the slave nodes of the Redis instance as the new main service.
Node | Host | Port | Additional configuration |
---|---|---|---|
node01 | 127.0.0.1 | 26380 | sentinel monitor mymaster 127.0.0.1 6380 2 |
node02 | 127.0.0.1 | 26381 | sentinel monitor mymaster 127.0.0.1 6380 2 |
node03 | 127.0.0.1 | 26382 | sentinel monitor mymaster 127.0.0.1 6380 2 |
(2) Service configuration
1. Redis instance
The initial configuration file of the node uses the default configuration file as a template.
After node01 and node02 initialize the configuration files, the master-slave relationship between nodes is displayed and the following configuration is added:
replicaof 127.0.0.1 6380
2. Sentinel service
The initial configuration file of the node is as follows: The default configuration file is a template.
After node01, node02, and node03 initialize the configuration files, add the following configuration:
sentinel monitor mymaster 127.0.0.1 6381 2
(3) Service management
When testing or learning, it is recommended to use the foreground process to manage services. It is convenient to simulate a single point of failure, view logs and observe master-slave switching.
Under production conditions, it is recommended to use Supervisor to manage the service, which is not only easy to manage but also can automatically restart the service after abnormal termination. Three physical machines are used in high availability scenarios.
1. Redis instance
/usr/local/redis/bin/redis-server /usr/local/redis/conf/ms/redis80.conf --port 6380 --save '' --daemonize no /usr/local/redis/bin/redis-server /usr/local/redis/conf/ms/redis81.conf --port 6381 --save '' --daemonize no /usr/local/redis/bin/redis-server /usr/local/redis/conf/ms/redis82.conf --port 6382 --save '' --daemonize no
2. Sentinel service
/usr/local/redis/bin/redis-sentinel /usr/local/redis/conf/ms/sentinel280.conf --port 26380 --daemonize no /usr/local/redis/bin/redis-sentinel /usr/local/redis/conf/ms/sentinel281.conf --port 26381 --daemonize no /usr/local/redis/bin/redis-sentinel /usr/local/redis/conf/ms/sentinel282.conf --port 26382 --daemonize no
3. Client integration
Client implementation refers to the integration based on SpringBoot. Two-step implementation: first, complete the integration as the basis; second, add new features based on production needs.
(1) Basic integration
The content of basic integration is to use Java client to connect to the high-availability sentinel mode Redis service to achieve the requirements for normal operation of single-node failure services.
1. Global configuration file
The configuration information added to the global configuration file is: master
The parameter is the sentinel service name, here is the default value;nodes
The parameter is the sentinel service list (not the Redis instance service list); database
The parameter is the database.
spring: redis: database: 0 sentinel: nodes: 192.168.181.171:26380,192.168.181.171:26381,192.168.181.171:26382 master: mymaster
2. Integrated configuration
is integrated into the SpringBoot system. The core is to create a LettuceConnectionFactory
connection factory. Through the Redis connection factory, it can be smoothly inherited into other parts of the Spring system. frame.
@Configuration public class RedisSentinelConfig { @Autowired private RedisProperties redisProperties; @Bean public RedisConnectionFactory lettuceConnectionFactory() { RedisProperties.Sentinel sentinel = redisProperties.getSentinel(); HashSet<String> nodes = new HashSet<>(sentinel.getNodes()); String master = sentinel.getMaster(); RedisSentinelConfiguration config = new RedisSentinelConfiguration(master, nodes); config.setDatabase(redisProperties.getDatabase()); return new LettuceConnectionFactory(config); } }
(2) Read-write separation
Basic integration only implements the process of high-availability Redis service. In the production environment, other configurations still need to be added: modify the custom connection database serial number; authorize the connection ;Connection pool configuration; read-write separation.
Under the premise of high availability, the feature of separation of reading and writing is derived. The main library completes the write request; the slave library completes the read request (the slave library does not allow writing).
@Bean public LettuceClientConfigurationBuilderCustomizer lettuceClientCustomizer() { // 配置读写分离 return builder -> builder.readFrom(ReadFrom.REPLICA); }
The above is the detailed content of Example analysis of high availability in Redis sentry mode. For more information, please follow other related articles on the PHP Chinese website!

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