赞
踩
// 配置yml文件 spring: redis: # 地址 host: 自己服务器ip # 端口,默认为6379 port: 6379 # 数据库索引 database: 0 # 密码 password: 自己设置的密码,没有则为空 # 连接超时时间 timeout: 10s lettuce: pool: # 连接池中的最小空闲连接 min-idle: 0 # 连接池中的最大空闲连接 max-idle: 8 # 连接池的最大数据库连接数 max-active: 8 # #连接池最大阻塞等待时间(使用负值表示没有限制) max-wait: -1ms
<!--集成redis --> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> <!-- spring2.X集成redis所需common-pool2--> <dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-pool2</artifactId> <version>2.6.0</version> </dependency> <dependency> <groupId>com.alibaba.fastjson2</groupId> <artifactId>fastjson2</artifactId> <version>2.0.1</version> </dependency>
内联代码片
。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.connection.RedisConnectionFactory; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.script.DefaultRedisScript; import org.springframework.data.redis.serializer.StringRedisSerializer; /** * redis配置 * * @author */ @Configuration @EnableCaching public class RedisConfig extends CachingConfigurerSupport { @Bean @SuppressWarnings(value = { "unchecked", "rawtypes" }) public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory) { RedisTemplate<Object, Object> template = new RedisTemplate<>(); template.setConnectionFactory(connectionFactory); FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class); // 使用StringRedisSerializer来序列化和反序列化redis的key值 template.setKeySerializer(new StringRedisSerializer()); template.setValueSerializer(serializer); // Hash的key也采用StringRedisSerializer的序列化方式 template.setHashKeySerializer(new StringRedisSerializer()); template.setHashValueSerializer(serializer); template.afterPropertiesSet(); return template; } @Bean public DefaultRedisScript<Long> limitScript() { DefaultRedisScript<Long> redisScript = new DefaultRedisScript<>(); redisScript.setScriptText(limitScriptText()); redisScript.setResultType(Long.class); return redisScript; } /** * 限流脚本 */ private String limitScriptText() { return "local key = KEYS[1]\n" + "local count = tonumber(ARGV[1])\n" + "local time = tonumber(ARGV[2])\n" + "local current = redis.call('get', key);\n" + "if current and tonumber(current) > count then\n" + " return tonumber(current);\n" + "end\n" + "current = redis.call('incr', key)\n" + "if tonumber(current) == 1 then\n" + " redis.call('expire', key, time)\n" + "end\n" + "return tonumber(current);"; } }
import java.util.Collection; import java.util.Iterator; import java.util.List; import java.util.Map; import java.util.Set; import java.util.concurrent.TimeUnit; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.BoundSetOperations; import org.springframework.data.redis.core.HashOperations; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.ValueOperations; import org.springframework.stereotype.Component; /** * spring redis 工具类 * * @author **/ @SuppressWarnings(value = { "unchecked", "rawtypes" }) @Component public class RedisCache { @Autowired public RedisTemplate redisTemplate; /** * 缓存基本的对象,Integer、String、实体类等 * * @param key 缓存的键值 * @param value 缓存的值 */ public <T> void setCacheObject(final String key, final T value) { redisTemplate.opsForValue().set(key, value); } /** * 缓存基本的对象,Integer、String、实体类等 * * @param key 缓存的键值 * @param value 缓存的值 * @param timeout 时间 * @param timeUnit 时间颗粒度 */ public <T> void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit) { redisTemplate.opsForValue().set(key, value, timeout, timeUnit); } /** * 设置有效时间 * * @param key Redis键 * @param timeout 超时时间 * @return true=设置成功;false=设置失败 */ public boolean expire(final String key, final long timeout) { return expire(key, timeout, TimeUnit.SECONDS); } /** * 设置有效时间 * * @param key Redis键 * @param timeout 超时时间 * @param unit 时间单位 * @return true=设置成功;false=设置失败 */ public boolean expire(final String key, final long timeout, final TimeUnit unit) { return redisTemplate.expire(key, timeout, unit); } /** * 获取有效时间 * * @param key Redis键 * @return 有效时间 */ public long getExpire(final String key) { return redisTemplate.getExpire(key); } /** * 判断 key是否存在 * * @param key 键 * @return true 存在 false不存在 */ public Boolean hasKey(String key) { return redisTemplate.hasKey(key); } /** * 获得缓存的基本对象。 * * @param key 缓存键值 * @return 缓存键值对应的数据 */ public <T> T getCacheObject(final String key) { ValueOperations<String, T> operation = redisTemplate.opsForValue(); return operation.get(key); } /** * 删除单个对象 * * @param key */ public boolean deleteObject(final String key) { return redisTemplate.delete(key); } /** * 删除集合对象 * * @param collection 多个对象 * @return */ public boolean deleteObject(final Collection collection) { return redisTemplate.delete(collection) > 0; } /** * 缓存List数据 * * @param key 缓存的键值 * @param dataList 待缓存的List数据 * @return 缓存的对象 */ public <T> long setCacheList(final String key, final List<T> dataList) { Long count = redisTemplate.opsForList().rightPushAll(key, dataList); return count == null ? 0 : count; } /** * 获得缓存的list对象 * * @param key 缓存的键值 * @return 缓存键值对应的数据 */ public <T> List<T> getCacheList(final String key) { return redisTemplate.opsForList().range(key, 0, -1); } /** * 缓存Set * * @param key 缓存键值 * @param dataSet 缓存的数据 * @return 缓存数据的对象 */ public <T> BoundSetOperations<String, T> setCacheSet(final String key, final Set<T> dataSet) { BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key); Iterator<T> it = dataSet.iterator(); while (it.hasNext()) { setOperation.add(it.next()); } return setOperation; } /** * 获得缓存的set * * @param key * @return */ public <T> Set<T> getCacheSet(final String key) { return redisTemplate.opsForSet().members(key); } /** * 缓存Map * * @param key * @param dataMap */ public <T> void setCacheMap(final String key, final Map<String, T> dataMap) { if (dataMap != null) { redisTemplate.opsForHash().putAll(key, dataMap); } } /** * 获得缓存的Map * * @param key * @return */ public <T> Map<String, T> getCacheMap(final String key) { return redisTemplate.opsForHash().entries(key); } /** * 往Hash中存入数据 * * @param key Redis键 * @param hKey Hash键 * @param value 值 */ public <T> void setCacheMapValue(final String key, final String hKey, final T value) { redisTemplate.opsForHash().put(key, hKey, value); } /** * 获取Hash中的数据 * * @param key Redis键 * @param hKey Hash键 * @return Hash中的对象 */ public <T> T getCacheMapValue(final String key, final String hKey) { HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash(); return opsForHash.get(key, hKey); } /** * 获取多个Hash中的数据 * * @param key Redis键 * @param hKeys Hash键集合 * @return Hash对象集合 */ public <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys) { return redisTemplate.opsForHash().multiGet(key, hKeys); } /** * 删除Hash中的某条数据 * * @param key Redis键 * @param hKey Hash键 * @return 是否成功 */ public boolean deleteCacheMapValue(final String key, final String hKey) { return redisTemplate.opsForHash().delete(key, hKey) > 0; } /** * 获得缓存的基本对象列表 * * @param pattern 字符串前缀 * @return 对象列表 */ public Collection<String> keys(final String pattern) { return redisTemplate.keys(pattern); } }
@Autowired
private RedisCache redisCache;
// 方法里面直接调用即可
Copyright © 2003-2013 www.wpsshop.cn 版权所有,并保留所有权利。