Spring boot 连接Redis实现HMSET操作

这篇文章记录使用spring-boot-starter-redis访问Redis。Redis相关的的配置文件放在Resources目录下的application.yml文件中，如下所示：

spring:
  profiles: dev,default,test
  redis:
    database: 1
    host: 192.168.107.253 #redis test server
    port: 6379

首先在pom.xml中添加依赖：

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-redis</artifactId>
            <version>1.3.2.RELEASE</version>
        </dependency>

RedisTemplate配置

Spring boot默认能够使用 @Autowired 注入RedisTemplate

创建JedisConnectionFactory

默认情况下，Spring boot就会为Redis注入默认值，如下图所示：

由于实际部署的Redis的主机、端口、数据库ID在application.yml配置文件中，因此使用 @Value 注入相应的值，

    @Value("${spring.redis.host}")
    private String host;

    @Value("${spring.redis.port}")
    private int port;

    @Value("${spring.redis.database}")
    private int databaseId;

然后在Jedis连接工厂时，主机、端口、数据库ID set进去即可。

    @Bean
    public JedisConnectionFactory jedisConnectionFactory() {
    JedisConnectionFactory factory = new JedisConnectionFactory();
    factory.setUsePool(true);
    JedisPoolConfig config = getRedisConfig();
    factory.setPoolConfig(config);
    factory.setHostName(host);
    factory.setPort(port);
    factory.setDatabase(databaseId);
    logger.info("host:{}, port:{}, database:{}", factory.getHostName(),factory.getPort(), factory.getDatabase());
    return factory;
    }

RedisTemplate创建需要传入JedisConnectionFactory，然后设置对象的序列化格式，如果未正确设置序列化格式，可能会导致写入的数据乱码

配置类使用 @Configuration 标识，整个类完整代码如下：

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import redis.clients.jedis.JedisPoolConfig;

import java.util.Map;

/**
 * Created by Administrator on 2018/4/9.
 */

@Configuration
public class LoginMacRedisConfig {

    private static final Logger logger = LoggerFactory.getLogger(LoginMacRedisConfig.class);

    @Value("${spring.redis.host}")
    private String host;

    @Value("${spring.redis.port}")
    private int port;

    @Value("${spring.redis.database}")
    private int databaseId;

    @Bean
    @ConfigurationProperties(prefix = "spring.redis")
    public JedisPoolConfig getRedisConfig() {
    JedisPoolConfig config = new JedisPoolConfig();
    return config;
    }

    @Bean
    public JedisConnectionFactory jedisConnectionFactory() {
    JedisConnectionFactory factory = new JedisConnectionFactory();
    factory.setUsePool(true);
    JedisPoolConfig config = getRedisConfig();
    factory.setPoolConfig(config);
    factory.setHostName(host);
    factory.setPort(port);
    factory.setDatabase(databaseId);
    logger.info("host:{}, port:{}, database:{}", factory.getHostName(),factory.getPort(), factory.getDatabase());
    return factory;
    }

    @Bean
    public RedisTemplate<String, Map<String, String>> redisTemplate() {
    final RedisTemplate<String, Map<String, String>> template = new RedisTemplate<>();
    template.setConnectionFactory(jedisConnectionFactory());

    StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
    template.setKeySerializer(stringRedisSerializer);
    template.setHashKeySerializer(stringRedisSerializer);
    template.setHashValueSerializer(stringRedisSerializer);
    return template;
    }
}

这样，我们就可以在其他类( @Service )中使用 @Autowired 注入RedisTemplate<String, Map

    @Autowired
    private RedisTemplate<String, Map<String, String>> hmsetTemplate;

有个时候，我们需要在一个Spring Boot Application中访问多个Redis，可参考：[How to create a second RedisTemplate instance in a Spring Boot application

RedisTemplate HMSET操作

HMSET key field value [field value ...]

HMSET接受一个key，然后可以存储多个 field value。

        Map<String, String> results = new HashMap<>();
        results.put("mac_addr", mac);
        results.put("cli_verstr", cli_verstr);
        hmsetTemplate.opsForHash().putAll(uid, results);

具体完整代码以后再补充。

写入Redis成功后，连接redis查看最终结果：

redis-cli -h 192.168.107.253 -p 6379
redis 192.168.107.253:6379[1]> KEYS *
1) "1097672"
2) "1210073"
3) "162284"
redis 192.168.107.253:6379[1]> HGET 1097672 mac_addr
"7893f695112c465"
redis 192.168.107.253:6379[1]> HGET 1097672623 cli_verstr
"2.8"