Spring Data Redis overview

If you are, like me, a great fan of the Spring Framework, you probably know already the Spring Data product and corresponding spring-data-redis module. If not, let me introduce this wonderful tool in this brief post.


Spring Data Redis offers the following features (copied from the product homepage):

  • Connection package as low-level abstraction across multiple Redis drivers/connectors (Jedis,  JRedisLettuceSRP and RJC)
  • Exception translation to Spring’s portable Data Access exception hierarchy for Redis driver exceptions
  • RedisTemplate that provides a high level abstraction for performing various redis operations, exception translation and serialization support
  • Pubsub support (such as a MessageListenerContainer for message-driven POJOs)
  • JDK, String, JSON and Spring Object/XML mapping serializers
  • JDK Collection implementations on top of Redis
  • Atomic counter support classes
  • Sorting and Pipelining functionality
  • Dedicated support for SORT, SORT/GET pattern and returned bulk values
  • Redis implementation for Spring 3.1 cache abstraction


As of the time of writing this post, the latest product release is labeled ‘1.0.6.RELEASE’, and available as a Maven dependency:



Using Spring Data Redis in your project is as easy as defining the above dependency in your master pom.xml file, and configuring the RedisTemplate bean in either xml context file (example below) or using Java configuration:

    <context:property-placeholder location="classpath:redis.properties"/>

    <bean id="connectionFactory"
          p:usePool="${redis.pool}" />

    <bean id="stringRedisSerializer" class="org.springframework.data.redis.serializer.StringRedisSerializer" />

    <bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate"
          p:defaultSerializer-ref="stringRedisSerializer" />


and the corresponding redis.config file:

# Redis settings


…in code you’re using the RedisTemplate like this:

private RedisTemplate redisTemplate;

    public void saveEmail(String email, long userId) {
        redisTemplate.opsForHash().put("emails", String.valueOf(userId), email);


I did also i quick overview of the extend to which Redis native API commands, related to performing operations on 5 basic Redis data types, have been implemented in the product. Below you’ll find a short visual summary:


  • Strings

Spring Data Redis String



  • Lists

Spring Data Redis List



  • Sets

Spring Data Redis Set



  • Hashes

Spring Data Redis Hash



  • ZSets

Spring Data Redis ZSet









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