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How to use StringRedisTemplate and RedisTemplate in Java?

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Release: 2023-04-23 09:34:06
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When using it, just use the maven dependency package spring-boot-starter-data-redis, and then inject StringRedisTemplate or RedisTemplate into the service.

How to use StringRedisTemplate and RedisTemplate in Java?

First of all, as follows As shown in the figure, StringRedisTemplate inherits RedisTemplate, so the two methods of operating Redis are similar.

How to use StringRedisTemplate and RedisTemplate in Java?

The data between the two is not common; that is to say, StringRedisTemplate can only Manage the data in StringRedisTemplate. RedisTemplate can only manage the data in RedisTemplate.

In fact, the difference between them mainly lies in the serialization class they use:

  • RedisTemplate uses JdkSerializationRedisSerializer. When storing data, the data will be serialized into words first. The section array is then stored in the Redis database.

  • StringRedisTemplate uses StringRedisSerializer

Notes when using:

When your redis When the database originally stores string data or the data you want to access is string type data, then you can use StringRedisTemplate.

But if your data is a complex object type, and you don’t want to do any data conversion when taking it out, and you can take an object directly from Redis, then using RedisTemplate is a better choice.

Frequently asked questions when using RedisTemplate:

The data accessed in redisTemplate are all byte arrays. When the data stored in redis is in a readable form instead of a byte array, when using redisTemplate to obtain the value, the exported data cannot be obtained, and the obtained value is null. You can try using StringRedisTemplate.

StringRedisTemplate’s operation method for Redis:

StringRedisTemplate.opsForValue().* //操作String字符串类型
StringRedisTemplate.delete(key/collection) //根据key/keys删除
StringRedisTemplate.opsForList().*  //操作List类型
StringRedisTemplate.opsForHash().*  //操作Hash类型
StringRedisTemplate.opsForSet().*  //操作set类型
StringRedisTemplate.opsForZSet().*  //操作有序set
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The interface implementation code is as follows:

package com.cloud.spring.demo.service.impl;

import com.cloud.spring.demo.service.RedisTestService;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.List;
import java.util.Map;
import java.util.Set;

/**
 * @Package: com.cloud.spring.demo.service.impl
 * @ClassName: RedisTestServiceImpl
 * @Author: zhougaoyang
 * @Description: redis服务测试接口实现
 * @Date: 2019/4/27 10:16
 * @Version: 1.0
 */
@Service
public class RedisTestServiceImpl implements RedisTestService {
    private static final Logger log = LoggerFactory.getLogger(RedisTestService.class);

    @Autowired
    private StringRedisTemplate redisTemplate;


    /**
     * @Description 获取String类型的value
     * @param name
     * @return
     */
    @Override
    public String findName(String name) {
        if (name==null){
            log.error("===============key为null======================================================");
        }
        return redisTemplate.opsForValue().get(name);
    }

    /**
     * @Description 添加String类型的key-value
     * @param name
     * @param value
     * @return
     */
    @Override
    public String setNameValue(String name, String value) {
        log.info("==================添加String类型的key-value========================================");
        redisTemplate.opsForValue().set(name,value);
        return name;
    }

    /**
     * @Description 根据key删除redis的数据
     * @param name
     * @return
     */
    @Override
    public String delNameValue(String name) {
        redisTemplate.delete(name);
        return name;
    }

    /**
     * @Description 根据key获取list类型的value(范围)
     * @param key
     * @return
     */
    @Override
    public List<String> findList(String key,int start,int end) {
        log.info("=====================按照范围查询redis中List类型=======================================");
        return redisTemplate.opsForList().range(key,start,end);
    }

    /**
     * @Description 插入多条数据
     * @param key
     * @param value
     * @return
     */
    @Override
    public long setList(String key, List<String> value) {
        log.info("=========================redis List type insert ======================================");
        return redisTemplate.opsForList().rightPushAll(key, value);
    }

    /**
     * @Description 获取list最新记录(右侧)
     * @param key
     * @return
     */
    @Override
    public String findLatest(String key) {
        log.info("=============================rides List latest rigth==================================");
        return redisTemplate.opsForList().index(key,redisTemplate.opsForList().size(key)-1);
    }

    /**
     * @Description 查询hash
     * @param key
     * @return
     */
    @Override
    public Map<Object, Object> findHash(String key) {
        log.info("===================================redis hash =========================================");
        return redisTemplate.opsForHash().entries(key);
    }

    /**
     * @Description 查询hash中所有的key
     * @param key
     * @return
     */
    @Override
    public Set<Object> findHashKeys(String key) {
        log.info("====================================== All keys of hash ===============================");
        return redisTemplate.opsForHash().keys(key);
    }

    /**
     * @Description 查询hash中所有的value
     * @param key
     * @return
     */
    @Override
    public List<Object> findHashValues(String key) {
        log.info("===================================== All values of hash ==============================");
        return redisTemplate.opsForHash().values(key);
    }

    /**
     * @Desscription 插入hash数据
     * @param key
     * @param map
     * @return
     */
    @Override
    public long insertHash(String key, Map<String, Object> map) {
        log.info("====================================== insert hashes into redis ========================");
        redisTemplate.opsForHash().putAll(key,map);
        return map.size();
    }
}
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