1.引入依赖:
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency>
2.配置redis
spring.redis.host=127.0.0.1
3.Springboot 配置类
package org.springframework.boot.autoconfigure.data.redis; import java.net.UnknownHostException; import org.springframework.boot.autoconfigure.condition.ConditionalOnClass; import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean; import org.springframework.boot.context.properties.EnableConfigurationProperties; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.context.annotation.Import; import org.springframework.data.redis.connection.RedisConnectionFactory; import org.springframework.data.redis.core.RedisOperations; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.StringRedisTemplate; @Configuration @ConditionalOnClass({RedisOperations.class}) @EnableConfigurationProperties({RedisProperties.class}) @Import({LettuceConnectionConfiguration.class, JedisConnectionConfiguration.class}) public class RedisAutoConfiguration { public RedisAutoConfiguration() { } @Bean @ConditionalOnMissingBean( name = {"redisTemplate"} //当Spring容器中没有名称为redisTemplate的容器时,才初始化此Bean ) public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) throws UnknownHostException { RedisTemplate<Object, Object> template = new RedisTemplate(); template.setConnectionFactory(redisConnectionFactory); return template; } @Bean @ConditionalOnMissingBean //当Spring容器中没有下面定义的类型的Bean的时候,才加载下面的Bean public StringRedisTemplate stringRedisTemplate(RedisConnectionFactory redisConnectionFactory) throws UnknownHostException { StringRedisTemplate template = new StringRedisTemplate(); template.setConnectionFactory(redisConnectionFactory); return template; } }
package org.springframework.data.redis.core; import org.springframework.data.redis.*; import org.springframework.data.redis.connection.RedisConnection; import org.springframework.data.redis.connection.RedisConnectionFactory; import org.springframework.data.redis.connection.StringRedisConnection; import org.springframework.data.redis.serializer.RedisSerializer; import org.springframework.data.redis.serializer.StringRedisSerializer; public class StringRedisTemplate extends RedisTemplate<String, String> { /** * Constructs a new <code>StringRedisTemplate</code> instance. {@link #setConnectionFactory(RedisConnectionFactory)} * and {@link #afterPropertiesSet()} still need to be called. */ public StringRedisTemplate() { setKeySerializer(RedisSerializer.string()); setValueSerializer(RedisSerializer.string()); setHashKeySerializer(RedisSerializer.string()); setHashValueSerializer(RedisSerializer.string()); } /** * Constructs a new <code>StringRedisTemplate</code> instance ready to be used. * * @param connectionFactory connection factory for creating new connections */ public StringRedisTemplate(RedisConnectionFactory connectionFactory) { this(); setConnectionFactory(connectionFactory); afterPropertiesSet(); } protected RedisConnection preProcessConnection(RedisConnection connection, boolean existingConnection) { return new DefaultStringRedisConnection(connection); } }
4.测试类
@RunWith(SpringRunner.class) @SpringBootTest public class Springboot01CacheApplicationTests { @Autowired EmployeeMapper employeeMapper; @Autowired StringRedisTemplate stringRedisTemplate; //操作k-v都是字符串的 @Autowired RedisTemplate redisTemplate; //k-v都是对象的 @Autowired RedisTemplate<Object, User> userRedisTemplate; /** * Redis常见的五大数据类型 * String(字符串)、List(列表)、Set(集合)、Hash(散列)、ZSet(有序集合) * stringRedisTemplate.opsForValue()[String(字符串)] * stringRedisTemplate.opsForList()[List(列表)] * stringRedisTemplate.opsForSet()[Set(集合)] * stringRedisTemplate.opsForHash()[Hash(散列)] * stringRedisTemplate.opsForZSet()[ZSet(有序集合)] */ @Test public void test01(){ //给redis中保存数据 //stringRedisTemplate.opsForValue().append("msg","hello"); // String msg = stringRedisTemplate.opsForValue().get("msg"); // System.out.println(msg); // stringRedisTemplate.opsForList().leftPush("mylist","1"); 这个会产生bug,需要将redis.conf配置文件中的stop-writes-on-bgsave-error 的值改为no // stringRedisTemplate.opsForList().leftPush("mylist","2"); } //测试保存对象 @Test public void test02(){ User user01 = employeeMapper.getEmpById(1); //默认如果保存对象,使用jdk序列化机制,序列化后的数据保存到redis中 //redisTemplate.opsForValue().set("emp-01",user01); //1、将数据以json的方式保存 //(1)自己将对象转为json //(2)redisTemplate默认的序列化规则;改变默认的序列化规则; userRedisTemplate.opsForValue().set("emp-01",user01); } @Test public void contextLoads() { Employee empById = employeeMapper.getEmpById(1); System.out.println(empById); } }
5.序列化解决乱码问题
但是springboot 用redids保存对象时,需要对象实现序列化。而SpringBoot为Redis实现的默认序列化机制是Java的序列化。这样存到Redis中的数据没有办法给人读懂,是一堆乱码。这就需要我们重新设置序列化
5.1.0)默认的序列化类
public class RedisTemplate<K, V> extends RedisAccessor implements RedisOperations<K, V>, BeanClassLoaderAware { private boolean enableDefaultSerializer = true; @Nullable private RedisSerializer<?> defaultSerializer; public void afterPropertiesSet() { super.afterPropertiesSet(); boolean defaultUsed = false; if (this.defaultSerializer == null) { this.defaultSerializer = new JdkSerializationRedisSerializer(this.classLoader != null ? this.classLoader : this.getClass().getClassLoader()); } …….. } }
5.1.1)默认序列化机制保存的效果:userRedisTemplate.opsForValue().set("emp-01",user01);
5.2.0)自定义序列化机制类
@Configuration public class RedisConfig { @Bean public RedisTemplate<Object, User> redisTemplate(RedisConnectionFactory redisConnectionFactory) throws UnknownHostException { RedisTemplate<Object, User> template = new RedisTemplate(); template.setConnectionFactory(redisConnectionFactory); Jackson2JsonRedisSerializer jse = new Jackson2JsonRedisSerializer(User.class); template.setDefaultSerializer(jse); return template; } }
5.2.1)按JavaBean自定义序列化后的保存效果:(局限性太大,不推荐使用)
5.2.2) 自定义泛型为<String,Object>的RedisTemplate
package com.everjiankang.demo.redis; 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.Jackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.StringRedisSerializer; import com.fasterxml.jackson.annotation.JsonAutoDetect; import com.fasterxml.jackson.annotation.PropertyAccessor; import com.fasterxml.jackson.databind.ObjectMapper; @Configuration public class RedisConfig { @Bean @SuppressWarnings("all") public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) { RedisTemplate<String, Object> template = new RedisTemplate<String, Object>(); template.setConnectionFactory(factory); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); ObjectMapper om = new ObjectMapper(); om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jackson2JsonRedisSerializer.setObjectMapper(om); StringRedisSerializer stringRedisSerializer = new StringRedisSerializer(); // key采用String的序列化方式 template.setKeySerializer(stringRedisSerializer); // hash的key也采用String的序列化方式 template.setHashKeySerializer(stringRedisSerializer); // value序列化方式采用jackson template.setValueSerializer(jackson2JsonRedisSerializer); // hash的value序列化方式采用jackson template.setHashValueSerializer(jackson2JsonRedisSerializer); template.afterPropertiesSet(); return template; } }
package com.everjiankang.miaosha.redis; 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.RedisTemplate; import org.springframework.stereotype.Component; import org.springframework.util.CollectionUtils; @Component public final class RedisUtil { @Autowired private RedisTemplate<String, Object> redisTemplate; // =============================common============================ /** * 指定缓存失效时间 * @param key 键 * @param time 时间(秒) * @return */ public boolean expire(String key, long time) { try { if (time > 0) { redisTemplate.expire(key, time, TimeUnit.SECONDS); } return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 根据key 获取过期时间 * @param key 键 不能为null * @return 时间(秒) 返回0代表为永久有效 */ public long getExpire(String key) { return redisTemplate.getExpire(key, TimeUnit.SECONDS); } /** * 判断key是否存在 * @param key 键 * @return true 存在 false不存在 */ public boolean hasKey(String key) { try { return redisTemplate.hasKey(key); } catch (Exception e) { e.printStackTrace(); return false; } } /** * 删除缓存 * @param key 可以传一个值 或多个 */ @SuppressWarnings("unchecked") public void del(String... key) { if (key != null && key.length > 0) { if (key.length == 1) { redisTemplate.delete(key[0]); } else { redisTemplate.delete(CollectionUtils.arrayToList(key)); } } } // ============================String============================= /** * 普通缓存获取 * @param key 键 * @return 值 */ public Object get(String key) { return key == null ? null : redisTemplate.opsForValue().get(key); } /** * 普通缓存放入 * @param key 键 * @param value 值 * @return true成功 false失败 */ public boolean set(String key, Object value) { try { redisTemplate.opsForValue().set(key, value); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 普通缓存放入并设置时间 * @param key 键 * @param value 值 * @param time 时间(秒) time要大于0 如果time小于等于0 将设置无限期 * @return true成功 false 失败 */ public boolean set(String key, Object value, long time) { try { if (time > 0) { redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS); } else { set(key, value); } return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 递增 * @param key 键 * @param delta 要增加几(大于0) * @return */ public long incr(String key, long delta) { if (delta < 0) { throw new RuntimeException("递增因子必须大于0"); } return redisTemplate.opsForValue().increment(key, delta); } /** * 递减 * @param key 键 * @param delta 要减少几(小于0) * @return */ public long decr(String key, long delta) { if (delta < 0) { throw new RuntimeException("递减因子必须大于0"); } return redisTemplate.opsForValue().increment(key, -delta); } // ================================Map================================= /** * HashGet * @param key 键 不能为null * @param item 项 不能为null * @return 值 */ public Object hget(String key, String item) { return redisTemplate.opsForHash().get(key, item); } /** * 获取hashKey对应的所有键值 * @param key 键 * @return 对应的多个键值 */ public Map<Object, Object> hmget(String key) { return redisTemplate.opsForHash().entries(key); } /** * HashSet * @param key 键 * @param map 对应多个键值 * @return true 成功 false 失败 */ public boolean hmset(String key, Map<String, Object> map) { try { redisTemplate.opsForHash().putAll(key, map); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * HashSet 并设置时间 * @param key 键 * @param map 对应多个键值 * @param time 时间(秒) * @return true成功 false失败 */ public boolean hmset(String key, Map<String, Object> map, long time) { try { redisTemplate.opsForHash().putAll(key, map); if (time > 0) { expire(key, time); } return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 向一张hash表中放入数据,如果不存在将创建 * @param key 键 * @param item 项 * @param value 值 * @return true 成功 false失败 */ public boolean hset(String key, String item, Object value) { try { redisTemplate.opsForHash().put(key, item, value); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 向一张hash表中放入数据,如果不存在将创建 * @param key 键 * @param item 项 * @param value 值 * @param time 时间(秒) 注意:如果已存在的hash表有时间,这里将会替换原有的时间 * @return true 成功 false失败 */ public boolean hset(String key, String item, Object value, long time) { try { redisTemplate.opsForHash().put(key, item, value); if (time > 0) { expire(key, time); } return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 删除hash表中的值 * @param key 键 不能为null * @param item 项 可以使多个 不能为null */ public void hdel(String key, Object... item) { redisTemplate.opsForHash().delete(key, item); } /** * 判断hash表中是否有该项的值 * @param key 键 不能为null * @param item 项 不能为null * @return true 存在 false不存在 */ public boolean hHasKey(String key, String item) { return redisTemplate.opsForHash().hasKey(key, item); } /** * hash递增 如果不存在,就会创建一个 并把新增后的值返回 * @param key 键 * @param item 项 * @param by 要增加几(大于0) * @return */ public double hincr(String key, String item, double by) { return redisTemplate.opsForHash().increment(key, item, by); } /** * hash递减 * @param key 键 * @param item 项 * @param by 要减少记(小于0) * @return */ public double hdecr(String key, String item, double by) { return redisTemplate.opsForHash().increment(key, item, -by); } // ============================set============================= /** * 根据key获取Set中的所有值 * @param key 键 * @return */ public Set<Object> sGet(String key) { try { return redisTemplate.opsForSet().members(key); } catch (Exception e) { e.printStackTrace(); return null; } } /** * 根据value从一个set中查询,是否存在 * @param key 键 * @param value 值 * @return true 存在 false不存在 */ public boolean sHasKey(String key, Object value) { try { return redisTemplate.opsForSet().isMember(key, value); } catch (Exception e) { e.printStackTrace(); return false; } } /** * 将数据放入set缓存 * @param key 键 * @param values 值 可以是多个 * @return 成功个数 */ public long sSet(String key, Object... values) { try { return redisTemplate.opsForSet().add(key, values); } catch (Exception e) { e.printStackTrace(); return 0; } } /** * 将set数据放入缓存 * @param key 键 * @param time 时间(秒) * @param values 值 可以是多个 * @return 成功个数 */ public long sSetAndTime(String key, long time, Object... values) { try { Long count = redisTemplate.opsForSet().add(key, values); if (time > 0) expire(key, time); return count; } catch (Exception e) { e.printStackTrace(); return 0; } } /** * 获取set缓存的长度 * @param key 键 * @return */ public long sGetSetSize(String key) { try { return redisTemplate.opsForSet().size(key); } catch (Exception e) { e.printStackTrace(); return 0; } } /** * 移除值为value的 * @param key 键 * @param values 值 可以是多个 * @return 移除的个数 */ public long setRemove(String key, Object... values) { try { Long count = redisTemplate.opsForSet().remove(key, values); return count; } catch (Exception e) { e.printStackTrace(); return 0; } } // ===============================list================================= /** * 获取list缓存的内容 * @param key 键 * @param start 开始 * @param end 结束 0 到 -1代表所有值 * @return */ public List<Object> lGet(String key, long start, long end) { try { return redisTemplate.opsForList().range(key, start, end); } catch (Exception e) { e.printStackTrace(); return null; } } /** * 获取list缓存的长度 * @param key 键 * @return */ public long lGetListSize(String key) { try { return redisTemplate.opsForList().size(key); } catch (Exception e) { e.printStackTrace(); return 0; } } /** * 通过索引 获取list中的值 * @param key 键 * @param index 索引 index>=0时, 0 表头,1 第二个元素,依次类推;index<0时,-1,表尾,-2倒数第二个元素,依次类推 * @return */ public Object lGetIndex(String key, long index) { try { return redisTemplate.opsForList().index(key, index); } catch (Exception e) { e.printStackTrace(); return null; } } /** * 将list放入缓存 * @param key 键 * @param value 值 * @param time 时间(秒) * @return */ public boolean lSet(String key, Object value) { try { redisTemplate.opsForList().rightPush(key, value); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 将list放入缓存 * @param key 键 * @param value 值 * @param time 时间(秒) * @return */ public boolean lSet(String key, Object value, long time) { try { redisTemplate.opsForList().rightPush(key, value); if (time > 0) expire(key, time); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 将list放入缓存 * @param key 键 * @param value 值 * @param time 时间(秒) * @return */ public boolean lSet(String key, List<Object> value) { try { redisTemplate.opsForList().rightPushAll(key, value); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 将list放入缓存 * * @param key 键 * @param value 值 * @param time 时间(秒) * @return */ public boolean lSet(String key, List<Object> value, long time) { try { redisTemplate.opsForList().rightPushAll(key, value); if (time > 0) expire(key, time); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 根据索引修改list中的某条数据 * @param key 键 * @param index 索引 * @param value 值 * @return */ public boolean lUpdateIndex(String key, long index, Object value) { try { redisTemplate.opsForList().set(key, index, value); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 移除N个值为value * @param key 键 * @param count 移除多少个 * @param value 值 * @return 移除的个数 */ public long lRemove(String key, long count, Object value) { try { Long remove = redisTemplate.opsForList().remove(key, count, value); return remove; } catch (Exception e) { e.printStackTrace(); return 0; } } }
RedisUtil工具类
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