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Integrate Redis into a Spring Project

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Integrate Redis into a Spring Project

Learn how to integrate the Redis cache into your Spring project using the annotation configuration and the jedis driver.

· Database Zone ·
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This article shows how to integrate Redis cache to your spring project through annotation configuration.

We will begin with our Gradle configuration. We will use the jedis driver.

group 'com.gkatzioura.spring'
version '1.0-SNAPSHOT'

apply plugin: 'java'
apply plugin: 'eclipse'
apply plugin: 'idea'
apply plugin: 'spring-boot'

buildscript {
    repositories {
    dependencies {

jar {
    baseName = 'gs-serving-web-content'
    version =  '0.1.0'

sourceCompatibility = 1.8

repositories {

dependencies {
    compile "org.springframework.boot:spring-boot-starter-thymeleaf"
    compile 'org.slf4j:slf4j-api:1.6.6'
    compile 'ch.qos.logback:logback-classic:1.0.13'
    compile 'redis.clients:jedis:2.7.0'
    compile 'org.springframework.data:spring-data-redis:1.5.0.RELEASE'
    testCompile group: 'junit', name: 'junit', version: '4.11'

task wrapper(type: Wrapper) {
    gradleVersion = '2.3'

Will proceed with the Redis configuration using spring annotations.

package com.gkatzioura.spring.config;

import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

public class RedisConfig extends CachingConfigurerSupport {

    public JedisConnectionFactory redisConnectionFactory() {

        JedisConnectionFactory jedisConnectionFactory = new JedisConnectionFactory();
        return jedisConnectionFactory;

    public RedisSerializer redisStringSerializer() {
        StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
        return stringRedisSerializer;

    public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory cf,RedisSerializer redisSerializer) {
        RedisTemplate<String, String> redisTemplate = new RedisTemplate<String, String>();
        return redisTemplate;

    public CacheManager cacheManager() {
        return new RedisCacheManager(redisTemplate(redisConnectionFactory(),redisStringSerializer()));


Next step is to create our caching interface

package com.gkatzioura.spring.cache;

import java.util.Date;
import java.util.List;

public interface CacheService {

    public void addMessage(String user,String message);

    public List<String> listMessages(String user);


A user will add messages and he will be able to retrieve them .
However on our implementation, user related messages will have a time to live of one minute.

Our implementation CacheService using Redis follows.

package com.gkatzioura.spring.cache.impl;

import com.gkatzioura.spring.cache.CacheService;
import org.springframework.data.redis.core.ListOperations;
import org.springframework.data.redis.core.RedisOperations;
import org.springframework.data.redis.core.SetOperations;
import org.springframework.stereotype.Service;

import javax.annotation.Resource;
import java.time.ZonedDateTime;
import java.time.temporal.ChronoUnit;
import java.util.Date;
import java.util.List;

public class RedisService implements CacheService {

    @Resource(name = "redisTemplate")
    private ListOperations<String, String> messageList;

    @Resource(name = "redisTemplate")
    private RedisOperations<String,String> latestMessageExpiration;

    public void addMessage(String user,String message) {


        ZonedDateTime zonedDateTime = ZonedDateTime.now();
        Date date = Date.from(zonedDateTime.plus(1, ChronoUnit.MINUTES).toInstant());

    public List<String> listMessages(String user) {
        return messageList.range(user,0,-1);


Our cache mechanism will retain a list of messages sent by each user. To achieve so we will employee the ListOperations interface using the user as a key.
The RedisOperations interface gives us the ability to specify a time to live for a key. In our case it is used for the user key.

Next we create a controller with the cache service injected.

package com.gkatzioura.spring.controller;

import com.gkatzioura.spring.cache.CacheService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

import java.util.List;

public class MessageController {

    private CacheService cacheService;

    @RequestMapping(value = "/message",method = RequestMethod.GET)
    public List<String> greeting(String user) {

        List<String> messages = cacheService.listMessages(user);

        return messages;

    @RequestMapping(value = "/message",method = RequestMethod.POST)
    public String saveGreeting(String user,String message) {


        return "OK";



Last but not least our Application class

package com.gkatzioura.spring;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

public class Application {

    public static void main(String[] args) {
        SpringApplication.run(Application.class, args);


In order to run just issue

Read "Developing Apps Using Active-Active Redis Enterprise" and discover the advantages over other active-actve databases.

database ,key value store ,nosql ,redis

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