参考:https://www.cnblogs.com/superfj/p/9232482.html
redis 工具类
package com.service; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.stereotype.Component; import java.util.Collection; import java.util.Date; import java.util.Set; import java.util.concurrent.TimeUnit; import java.util.stream.Collectors; import java.util.stream.Stream; @Component public class RedisService { @Autowired private RedisTemplate<String, String> redisTemplate; /** * 默认过期时长,单位:秒 */ public static final long DEFAULT_EXPIRE = 60 * 60 * 24; /** * 不设置过期时长 */ public static final long NOT_EXPIRE = -1; public boolean existsKey(String key) { return redisTemplate.hasKey(key); } /** * 重名名key,如果newKey已经存在,则newKey的原值被覆盖 * * @param oldKey * @param newKey */ public void renameKey(String oldKey, String newKey) { redisTemplate.rename(oldKey, newKey); } /** * newKey不存在时才重命名 * * @param oldKey * @param newKey * @return 修改成功返回true */ public boolean renameKeyNotExist(String oldKey, String newKey) { return redisTemplate.renameIfAbsent(oldKey, newKey); } /** * 删除key * * @param key */ public void deleteKey(String key) { redisTemplate.delete(key); } /** * 删除多个key * * @param keys */ public void deleteKey(String... keys) { Set<String> kSet = Stream.of(keys).map(k -> k).collect(Collectors.toSet()); redisTemplate.delete(kSet); } /** * 删除Key的集合 * * @param keys */ public void deleteKey(Collection<String> keys) { Set<String> kSet = keys.stream().map(k -> k).collect(Collectors.toSet()); redisTemplate.delete(kSet); } /** * 设置key的生命周期 * * @param key * @param time * @param timeUnit */ public void expireKey(String key, long time, TimeUnit timeUnit) { redisTemplate.expire(key, time, timeUnit); } /** * 指定key在指定的日期过期 * * @param key * @param date */ public void expireKeyAt(String key, Date date) { redisTemplate.expireAt(key, date); } /** * 查询key的生命周期 * * @param key * @param timeUnit * @return */ public long getKeyExpire(String key, TimeUnit timeUnit) { return redisTemplate.getExpire(key, timeUnit); } /** * 将key设置为永久有效 * * @param key */ public void persistKey(String key) { redisTemplate.persist(key); } }
redis的key工具类
package com.util; /** * redisKey设计 */ public class RedisKeyUtil { /** * redis的key * 形式为: * 表名:主键名:主键值:列名 * * @param tableName 表名 * @param majorKey 主键名 * @param majorKeyValue 主键值 * @param column 列名 * @return */ public static String getKeyWithColumn(String tableName,String majorKey,String majorKeyValue,String column){ StringBuffer buffer = new StringBuffer(); buffer.append(tableName).append(":"); buffer.append(majorKey).append(":"); buffer.append(majorKeyValue).append(":"); buffer.append(column); return buffer.toString(); } /** * redis的key * 形式为: * 表名:主键名:主键值 * * @param tableName 表名 * @param majorKey 主键名 * @param majorKeyValue 主键值 * @return */ public static String getKey(String tableName,String majorKey,String majorKeyValue){ StringBuffer buffer = new StringBuffer(); buffer.append(tableName).append(":"); buffer.append(majorKey).append(":"); buffer.append(majorKeyValue).append(":"); return buffer.toString(); } }
测试类:
测试类: package com.config; import com.domain.UserVo; import com.service.RedisService; import com.util.RedisKeyUtil; import org.junit.Test; import org.junit.runner.RunWith; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.test.context.SpringBootTest; import org.springframework.data.redis.core.*; import org.springframework.test.context.junit4.SpringRunner; import javax.annotation.Resource; import java.util.Set; import java.util.concurrent.TimeUnit; import static org.junit.Assert.*; @RunWith(SpringRunner.class) @SpringBootTest public class RedisConfigTest { @Autowired private StringRedisTemplate stringRedisTemplate; @Autowired private RedisTemplate redisTemplate; @Resource private ValueOperations<String,Object> valueOperations; @Autowired private HashOperations<String, String, Object> hashOperations; @Autowired private ListOperations<String, Object> listOperations; @Autowired private SetOperations<String, Object> setOperations; @Autowired private ZSetOperations<String, Object> zSetOperations; @Resource private RedisService redisService; @Test public void testObj() throws Exception{ UserVo userVo = new UserVo(); userVo.setAddress("上海"); userVo.setName("测试dfas"); userVo.setAge(123); ValueOperations<String,Object> operations = redisTemplate.opsForValue(); redisService.expireKey("name",20, TimeUnit.SECONDS); String key = RedisKeyUtil.getKey(UserVo.Table,"name",userVo.getName()); UserVo vo = (UserVo) operations.get(key); System.out.println(vo); } @Test public void testValueOption( )throws Exception{ UserVo userVo = new UserVo(); userVo.setAddress("上海"); userVo.setName("jantent"); userVo.setAge(23); valueOperations.set("test",userVo); System.out.println(valueOperations.get("test")); } @Test public void testSetOperation() throws Exception{ UserVo userVo = new UserVo(); userVo.setAddress("北京"); userVo.setName("jantent"); userVo.setAge(23); UserVo auserVo = new UserVo(); auserVo.setAddress("n柜昂周"); auserVo.setName("antent"); auserVo.setAge(23); setOperations.add("user:test",userVo,auserVo); Set<Object> result = setOperations.members("user:test"); System.out.println(result); } @Test public void HashOperations() throws Exception{ UserVo userVo = new UserVo(); userVo.setAddress("北京"); userVo.setName("jantent"); userVo.setAge(23); hashOperations.put("hash:user",userVo.hashCode()+"",userVo); System.out.println(hashOperations.get("hash:user",userVo.hashCode()+"")); } @Test public void ListOperations() throws Exception{ UserVo userVo = new UserVo(); userVo.setAddress("北京"); userVo.setName("jantent"); userVo.setAge(23); // listOperations.leftPush("list:user",userVo); // System.out.println(listOperations.leftPop("list:user")); // pop之后 值会消失 System.out.println(listOperations.leftPop("list:user")); } } 注解缓存的使用 @Cacheable:在方法执行前Spring先查看缓存中是否有数据,如果有数据,则直接返回缓存数据;没有则调用方法并将方法返回值放进缓存。 @CachePut:将方法的返回值放到缓存中。 @CacheEvict:删除缓存中的数据。 最后所有的代码都被上传到我的github喜欢的话,给个start
注解缓存的使用
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@Cacheable:在方法执行前Spring先查看缓存中是否有数据,如果有数据,则直接返回缓存数据;没有则调用方法并将方法返回值放进缓存。
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@CachePut:将方法的返回值放到缓存中。
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@CacheEvict:删除缓存中的数据。
最后所有的代码都被上传到我的github喜欢的话,给个start