springboot redis多数据源设置

遇到这样一个需求:运营人员在发布内容的时候可以选择性的发布到测试库、开发库和线上库。 
项目使用的是spring boot集成redis,实现如下:

1. 引入依赖

        <dependency>
            <groupId>org.springframework.data</groupId>
            <artifactId>spring-data-redis</artifactId>
        </dependency>
        <dependency>
            <groupId>redis.clients</groupId>
            <artifactId>jedis</artifactId>
        </dependency>

2.多数据源设置

application.yml设置(application.properties同理):

spring:
  redis:
    database: 0
    pool:
      max-active: 8
      max-idle: 9
      max-wait: -1
      min-idle: 0
    redis-dev:
      host: 填redis的ip地址
      prot: 填redis的端口号
      password: 填redis的密码
      testOnBorrow: fals
    redis-test:
      host:
      prot:
      password:
      testOnBorrow: false
    redis-online:
      host:
      prot:
      password:
      testOnBorrow: false

针对每个数据源写一个配置类: 
这里就只列举其中一个,不同的数据源设置不同的@Bean和@Value注解即可

@Configuration
public class RedisDevConfiguration {

    @Bean(name = "redisDevTemplate")
    public StringRedisTemplate redisTemplate(@Value("${spring.redis-dev.host}") String hostName,
            @Value("${spring.redis-dev.port}") int port, @Value("${spring.redis-dev.password}") String password,
            @Value("${spring.redis-dev.testOnBorrow}") boolean testOnBorrow,
            @Value("${spring.redis.pool.max-idle}") int maxIdle, @Value("${spring.redis.pool.max-active}") int maxTotal,
            @Value("${spring.redis.database}") int index, @Value("${spring.redis.pool.max-wait}") long maxWaitMillis) {
        StringRedisTemplate temple = new StringRedisTemplate();
        temple.setConnectionFactory(
                connectionFactory(hostName, port, password, maxIdle, maxTotal, index, maxWaitMillis, testOnBorrow));

        return temple;
    }

    public RedisConnectionFactory connectionFactory(String hostName, int port, String password, int maxIdle,
            int maxTotal, int index, long maxWaitMillis, boolean testOnBorrow) {
        JedisConnectionFactory jedis = new JedisConnectionFactory();
        jedis.setHostName(hostName);
        jedis.setPort(port);
        if (StringUtils.isNotEmpty(password)) {
            jedis.setPassword(password);
        }
        if (index != 0) {
            jedis.setDatabase(index);
        }
        jedis.setPoolConfig(poolCofig(maxIdle, maxTotal, maxWaitMillis, testOnBorrow));
        // 初始化连接pool
        jedis.afterPropertiesSet();
        RedisConnectionFactory factory = jedis;

        return factory;
    }

    public JedisPoolConfig poolCofig(int maxIdle, int maxTotal, long maxWaitMillis, boolean testOnBorrow) {
        JedisPoolConfig poolCofig = new JedisPoolConfig();
        poolCofig.setMaxIdle(maxIdle);
        poolCofig.setMaxTotal(maxTotal);
        poolCofig.setMaxWaitMillis(maxWaitMillis);
        poolCofig.setTestOnBorrow(testOnBorrow);
        return poolCofig;
    }
}

3.构造redis实例

写一个redis实例抽象类

public abstract class AbRedisConfiguration {
    protected StringRedisTemplate temple;

    public void setData(String key, String value) {
        getTemple().opsForValue().set(key, value);
    }

    public String getData(String key) {
        return getTemple().opsForValue().get(key);
    }

    public StringRedisTemplate getTemple() {
        return temple;
    }
}

继成抽象类实现操作类,这里只列举一个

@Component
public class RedisDev extends AbRedisConfiguration {
    @Resource(name = "redisDevTemplate")
    private StringRedisTemplate temple;

    public StringRedisTemplate getTemple() {
        return temple;
    }
}

4.使用

在service中注入redis操作类

    @Autowired
    private RedisDev redisDev;
    @Autowired
    private RedisTest redisTest;
    @Autowired
    private RedisTest redisOnline;

调用不同的操作类即可使用不同的redis数据源。

原文地址:https://www.cnblogs.com/azhqiang/p/9132799.html