spring boot整合redis实现RedisTemplate三分钟快速入门

引入依赖

<dependency>
  <groupId>org.springframework.boot</groupId>
  <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

RedisTemplate五种数据结构的操作

redisTemplate.opsForValue(); //操作字符串
redisTemplate.opsForHash(); //操作hash
redisTemplate.opsForList(); //操作list
redisTemplate.opsForSet(); //操作set
redisTemplate.opsForZSet(); //操作有序zset

RedisTemplate方法讲解

判断key是否存在

 /**
   * 判断key是否存在
   */
  @GetMapping("haskey")
  public boolean hasKey(String key) {
    return redisTemplate.hasKey(key);
  }

获取指定的key的失效时间

 /**
   * 指定key的失效时间
   */
  @GetMapping("expire")
  public void expire(String key, long time) {
    //参数一：key
    //参数二：睡眠时间
    //参数三：睡眠时间单位 TimeUnit.DAYS 天 TimeUnit.HOURS 小时 。。。
    redisTemplate.expire(key, time, TimeUnit.MINUTES);
  }

根据key获取过期时间

 /**
   * 根据key获取过期时间
   */
  @GetMapping("getexpire")
  public long getExpire(String key) {
    Long expire = redisTemplate.getExpire(key);
    return expire;
  }

根据key删除reids中缓存数据

 /**
   * 根据key删除reids中缓存数据
   */
  @GetMapping("delredisbykey")
  public void delete(String key) {
    redisTemplate.delete(key);
  }

保存和读取String

 /**
   * 保存和读取String
   */
  @GetMapping("stringredisdemo")
  public String stringredisdemo() {
    //设置过期时间为1分钟
    redisTemplate.opsForValue().set("key1", "value1", 1, TimeUnit.MINUTES);
    redisTemplate.opsForValue().set("key2", "value2");
    redisTemplate.opsForValue().set("key3", "value3");
    //读取redis数据
    String result1 = redisTemplate.opsForValue().get("key1").toString();
    String result2 = redisTemplate.opsForValue().get("key2").toString();
    String result3 = redisTemplate.opsForValue().get("key3").toString();
    System.out.println("缓存结果为：result：" + result1 + " " + result2 + "  " + result3);
    return "缓存结果为：result：" + result1 + " " + result2 + "  " + result3;
  }

保存和读取list

 /**
   * 保存和读取list
   */
  @GetMapping("listredisdemo")
  public String listredisdemo() {
    List<String> list1 = new ArrayList<>();
    list1.add("a1");
    list1.add("a2");
    list1.add("a3");
    List<String> list2 = new ArrayList<>();
    list2.add("b1");
    list2.add("b2");
    list2.add("b3");
    redisTemplate.opsForList().leftPush("listkey1", list1);
    redisTemplate.opsForList().rightPush("listkey2", list2);
    List<String> resultList1 = (List<String>) redisTemplate.opsForList().leftPop("listkey1");
    List<String> resultList2 = (List<String>) redisTemplate.opsForList().rightPop("listkey2");
    System.out.println("resultList1:" + resultList1);
    System.out.println("resultList2:" + resultList2);
    return "成功";
  }

Hash结构，保存和读取map

 /**
   * Hash结构，保存和读取map
   */
  @GetMapping("mapredisdemo")
  public String mapredisdemo() {
    Map<String, String> map = new HashMap<>();
    map.put("key1", "value1");
    map.put("key2", "value2");
    map.put("key3", "value3");
    map.put("key4", "value4");
    map.put("key5", "value5");
    redisTemplate.opsForHash().putAll("map1", map);
    Map<String, String> resultMap = redisTemplate.opsForHash().entries("map1");
    List<String> reslutMapList = redisTemplate.opsForHash().values("map1");
    Set<String> resultMapSet = redisTemplate.opsForHash().keys("map1");
    String value = (String) redisTemplate.opsForHash().get("map1", "key1");
    System.out.println("value:" + value);
    System.out.println("resultMapSet:" + resultMapSet);
    System.out.println("resultMap:" + resultMap);
    System.out.println("resulreslutMapListtMap:" + reslutMapList);
    return "成功";
  }

保存和读取Set

 /**
   * 保存和读取Set
   */
  @GetMapping("setredisdemo")
  public String getredisdemo() {
    SetOperations<String, String> set = redisTemplate.opsForSet();
    set.add("key1", "value1");
    set.add("key1", "value2");
    set.add("key1", "value3");
    Set<String> resultSet = redisTemplate.opsForSet().members("key1");
    System.out.println("resultSet:" + resultSet);
    return "resultSet:" + resultSet;
  }

保存和读取zset

 /**
   * 保存和读取zset
   */
  @GetMapping("zsetredisdemo")
  public String zsetredisdemo() {
    ZSetOperations.TypedTuple<Object> objectTypedTuple1 = new DefaultTypedTuple<>("zset-5", 9.6);
    ZSetOperations.TypedTuple<Object> objectTypedTuple2 = new DefaultTypedTuple<>("zset-6", 9.9);
    Set<ZSetOperations.TypedTuple<Object>> tuples = new HashSet<>();
    tuples.add(objectTypedTuple1);
    tuples.add(objectTypedTuple2);
    System.out.println(redisTemplate.opsForZSet().add("zset1", tuples));
    System.out.println(redisTemplate.opsForZSet().range("zset1", 0, -1));
    return "成功";
  }

完整示例代码

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.DefaultTypedTuple;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.SetOperations;
import org.springframework.data.redis.core.ZSetOperations;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.*;
import java.util.concurrent.TimeUnit;

@RestController
public class ReidsDemo {

  @Autowired
  RedisTemplate redisTemplate;

  /**
   * 指定key的失效时间
   */
  @GetMapping("expire")
  public void expire(String key, long time) {
    //参数一：key
    //参数二：睡眠时间
    //参数三：睡眠时间单位 TimeUnit.DAYS 天 TimeUnit.HOURS 小时 。。。
    redisTemplate.expire(key, time, TimeUnit.MINUTES);
  }

  /**
   * 根据key获取过期时间
   */
  @GetMapping("getexpire")
  public long getExpire(String key) {
    Long expire = redisTemplate.getExpire(key);
    return expire;
  }

  /**
   * 判断key是否存在
   */
  @GetMapping("haskey")
  public boolean hasKey(String key) {
    return redisTemplate.hasKey(key);
  }

  /**
   * 根据key删除reids中缓存数据
   */
  @GetMapping("delredisbykey")
  public void delete(String key) {
    redisTemplate.delete(key);
  }

  /**
   * 保存和读取String
   */
  @GetMapping("stringredisdemo")
  public String stringredisdemo() {
    //设置过期时间为1分钟
    redisTemplate.opsForValue().set("key1", "value1", 1, TimeUnit.MINUTES);
    redisTemplate.opsForValue().set("key2", "value2");
    redisTemplate.opsForValue().set("key3", "value3");
    //读取redis数据
    String result1 = redisTemplate.opsForValue().get("key1").toString();
    String result2 = redisTemplate.opsForValue().get("key2").toString();
    String result3 = redisTemplate.opsForValue().get("key3").toString();
    System.out.println("缓存结果为：result：" + result1 + " " + result2 + "  " + result3);
    return "缓存结果为：result：" + result1 + " " + result2 + "  " + result3;
  }

  /**
   * 保存和读取list
   */
  @GetMapping("listredisdemo")
  public String listredisdemo() {
    List<String> list1 = new ArrayList<>();
    list1.add("a1");
    list1.add("a2");
    list1.add("a3");
    List<String> list2 = new ArrayList<>();
    list2.add("b1");
    list2.add("b2");
    list2.add("b3");
    redisTemplate.opsForList().leftPush("listkey1", list1);
    redisTemplate.opsForList().rightPush("listkey2", list2);
    List<String> resultList1 = (List<String>) redisTemplate.opsForList().leftPop("listkey1");
    List<String> resultList2 = (List<String>) redisTemplate.opsForList().rightPop("listkey2");
    System.out.println("resultList1:" + resultList1);
    System.out.println("resultList2:" + resultList2);
    return "成功";
  }

  /**
   * Hash结构，保存和读取map
   */
  @GetMapping("mapredisdemo")
  public String mapredisdemo() {
    Map<String, String> map = new HashMap<>();
    map.put("key1", "value1");
    map.put("key2", "value2");
    map.put("key3", "value3");
    redisTemplate.opsForHash().putAll("map1", map);
    Map<String, String> resultMap = redisTemplate.opsForHash().entries("map1");
    List<String> reslutMapList = redisTemplate.opsForHash().values("map1");
    Set<String> resultMapSet = redisTemplate.opsForHash().keys("map1");
    String value = (String) redisTemplate.opsForHash().get("map1", "key1");
    System.out.println("value:" + value);
    System.out.println("resultMapSet:" + resultMapSet);
    System.out.println("resultMap:" + resultMap);
    System.out.println("resulreslutMapListtMap:" + reslutMapList);
    return "成功";
  }

  /**
   * 保存和读取Set
   */
  @GetMapping("setredisdemo")
  public String getredisdemo() {
    SetOperations<String, String> set = redisTemplate.opsForSet();
    set.add("key1", "value1");
    set.add("key1", "value2");
    set.add("key1", "value3");
    Set<String> resultSet = redisTemplate.opsForSet().members("key1");
    System.out.println("resultSet:" + resultSet);
    return "resultSet:" + resultSet;
  }

  /**
   * 保存和读取zset
   */
  @GetMapping("zsetredisdemo")
  public String zsetredisdemo() {
    ZSetOperations.TypedTuple<Object> objectTypedTuple1 = new DefaultTypedTuple<>("zset-5", 9.6);
    ZSetOperations.TypedTuple<Object> objectTypedTuple2 = new DefaultTypedTuple<>("zset-6", 9.9);
    Set<ZSetOperations.TypedTuple<Object>> tuples = new HashSet<>();
    tuples.add(objectTypedTuple1);
    tuples.add(objectTypedTuple2);
    System.out.println(redisTemplate.opsForZSet().add("zset1", tuples));
    System.out.println(redisTemplate.opsForZSet().range("zset1", 0, -1));
    return "成功";
  }
}

序列化

直接粘贴在项目中即可

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

/*
*序列化
 */
@Configuration
public class MyRedisConfig {

  @Bean(name = "redisTemplate")
  public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory){
    RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
    //参照StringRedisTemplate内部实现指定序列化器
    redisTemplate.setConnectionFactory(redisConnectionFactory);
    redisTemplate.setKeySerializer(keySerializer());
    redisTemplate.setHashKeySerializer(keySerializer());
    redisTemplate.setValueSerializer(valueSerializer());
    redisTemplate.setHashValueSerializer(valueSerializer());
    return redisTemplate;
  }

  private RedisSerializer<String> keySerializer(){
    return new StringRedisSerializer();
  }

  //使用Jackson序列化器
  private RedisSerializer<Object> valueSerializer(){
    return new GenericJackson2JsonRedisSerializer();
  } 
}

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