SpringBoot actual electricity supplier item mall (30k + star) Address: github.com/macrozheng/...
Summary
Spring Data Redis is the Spring framework provides a way for operating Redis recently compiled under its usage, and resolve some of the difficulties encountered in the use of pits, and we want to help. Redis article covers installation, Spring Cache combination of Redis, content usage Redis connection pools and the like RedisTemplate use.
Redis installed
Here are both Linux and Windows installation, because the next version of Windows up to version 3.2 only, it is recommended to use the next version of Linux, the latest stable version is 5.0, is used herein version.
Linux
Here we use the installation under the Docker environment.
- Download Redis5.0 of Docker mirror;
docker pull redis:5.0
复制代码- Docker command to start using Redis container;
docker run -p 6379:6379 --name redis \
-v /mydata/redis/data:/data \
-d redis:5.0 redis-server --appendonly yes
复制代码Windows
Friends want to use the Windows version can use the following installation.
- Download the Windows version of Redis, Download: github.com/MicrosoftAr...
- Once downloaded unzip to the specified directory;
- After the current address bar, enter cmd, redis execution start command: redis-server.exe redis.windows.conf
Spring Cache operation Redis
Spring Cache Profile
When Spring Boot combined use Redis as a cache, the easiest way is to use Spring Cache, and we do not know to use it in various operations on Spring Redis, just by @Cacheable it provides, @ CachePut, @ CacheEvict, @ EnableCaching and other annotations can be achieved caching feature.
Common Annotations
@EnableCaching
Open the cache function, generally on the startup class.
@Cacheable
When using this method when the buffer is present annotation, it retrieves data from the cache without performing the method, when a cache does not exist, the execution method and returns the result into the cache. 一般使用在查询方法上You may set the following properties:
- value: Cache name (required), specify the cache namespace;
- key: the key value used to set the cache in the namespace can be used SpEL define expressions;
- unless: the condition is not consistent with the cache;
- condition: the conditions in line with the cache.
@CachePut
The return result is stored in the cache when the annotated method will be used for each execution. 一般使用在新增方法上You may set the following properties:
- value: Cache name (required), specify the cache namespace;
- key: the key value used to set the cache in the namespace can be used SpEL define expressions;
- unless: the condition is not consistent with the cache;
- condition: the conditions in line with the cache.
@CacheEvict
Empties the specified cache when using this annotation method is executed. 一般使用在更新或删除方法上You may set the following properties:
- value: Cache name (required), specify the cache namespace;
- key: the key value used to set the cache in the namespace can be used SpEL define expressions;
- condition: the conditions in line with the cache.
Steps for usage
- Add project dependencies in pom.xml:
<!--redis依赖配置-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
复制代码- Modify the configuration file application.yml, adding the Redis connection configuration;
spring:
redis:
host: 192.168.6.139 # Redis服务器地址
database: 0 # Redis数据库索引（默认为0）
port: 6379 # Redis服务器连接端口
password: # Redis服务器连接密码（默认为空）
timeout: 1000ms # 连接超时时间
复制代码- Add @EnableCaching notes on startup class start caching feature;
@EnableCaching
@SpringBootApplication
public class MallTinyApplication {
public static void main(String[] args) {
SpringApplication.run(MallTinyApplication.class, args);
}
}
复制代码- Next in PmsBrandServiceImpl class-related annotations to implement caching feature, you can find details of the way we get brand used in @Cacheable notes, annotations on the use of @CacheEvict modify and delete brands method;
/**
* PmsBrandService实现类
* Created by macro on 2019/4/19.
*/
@Service
public class PmsBrandServiceImpl implements PmsBrandService {
@Autowired
private PmsBrandMapper brandMapper;
@CacheEvict(value = RedisConfig.REDIS_KEY_DATABASE, key = "'pms:brand:'+#id")
@Override
public int update(Long id, PmsBrand brand) {
brand.setId(id);
return brandMapper.updateByPrimaryKeySelective(brand);
}
@CacheEvict(value = RedisConfig.REDIS_KEY_DATABASE, key = "'pms:brand:'+#id")
@Override
public int delete(Long id) {
return brandMapper.deleteByPrimaryKey(id);
}
@Cacheable(value = RedisConfig.REDIS_KEY_DATABASE, key = "'pms:brand:'+#id", unless = "#result==null")
@Override
public PmsBrand getItem(Long id) {
return brandMapper.selectByPrimaryKey(id);
}
}
复制代码- The effect of our brand can call to get details of the interface test, this time found Redis data stored bit like garbage, and do not set an expiration time;
JSON-formatted data storage
At this time, we will think there is any way to get Redis data stored in the JSON format becomes the standard, then you can set a certain expiration date, do not set an expiration time prone to a lot of unnecessary data cache.
- We can set a RedisTemplate serializer JSON format, and to achieve the above needs by configuring RedisCacheConfiguration set the timeout, this time do not forget to remove the annotations on @EnableCaching start of classes, class RedisConfig configuration code is as follows;
/**
* Redis配置类
* Created by macro on 2020/3/2.
*/
@EnableCaching
@Configuration
public class RedisConfig extends CachingConfigurerSupport {
/**
* redis数据库自定义key
*/
public static final String REDIS_KEY_DATABASE="mall";
@Bean
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
RedisSerializer<Object> serializer = redisSerializer();
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(redisConnectionFactory);
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.setValueSerializer(serializer);
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(serializer);
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
@Bean
public RedisSerializer<Object> redisSerializer() {
//创建JSON序列化器
Jackson2JsonRedisSerializer<Object> serializer = new Jackson2JsonRedisSerializer<>(Object.class);
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
serializer.setObjectMapper(objectMapper);
return serializer;
}
@Bean
public RedisCacheManager redisCacheManager(RedisConnectionFactory redisConnectionFactory) {
RedisCacheWriter redisCacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory);
//设置Redis缓存有效期为1天
RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig()
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer())).entryTtl(Duration.ofDays(1));
return new RedisCacheManager(redisCacheWriter, redisCacheConfiguration);
}
}
复制代码- At this point we again call to get listings of interface testing, you will find Redis is already cached standard JSON format data, and the timeout time is set for 1 day.
Use connection pool Redis
SpringBoot 1.5.x version of Redis client defaults Jedis implemented, SpringBoot 2.x version of the default client Lettuce is realized, we start to understand under Jedis and Lettuce clients.
Jedis vs Lettuce
Jedis on implementation is directly connected Redis service, multi-threaded environment, non-thread-safe, unless you are using a connection pool, increase physical connection for each RedisConnection instance.
Lettuce is a scalable, thread-safe, fully non-blocking client Redis, multiple threads may share a RedisConnection, which uses Netty NIO framework to efficiently manage multiple connections, thereby providing asynchronous and synchronous data access, with Construction of reactivity to a non-blocking applications.
Steps for usage
- Lettuce was added application.yml modify connection pool configuration, the number of threads and arranged blocked waiting time;
spring:
redis:
lettuce:
pool:
max-active: 8 # 连接池最大连接数
max-idle: 8 # 连接池最大空闲连接数
min-idle: 0 # 连接池最小空闲连接数
max-wait: -1ms # 连接池最大阻塞等待时间，负值表示没有限制
复制代码- Since SpringBoot 2.x does not use the default Redis connection pool, it is necessary to add commons-pool2 dependency in pom.xml;
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
</dependency>
复制代码- If you do not add more dependent, then start the application when it will produce the following error;
Caused by: java.lang.NoClassDefFoundError: org/apache/commons/pool2/impl/GenericObjectPoolConfig
at org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration$LettucePoolingClientConfigurationBuilder.<init>(LettucePoolingClientConfiguration.java:84) ~[spring-data-redis-2.1.5.RELEASE.jar:2.1.5.RELEASE]
at org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration.builder(LettucePoolingClientConfiguration.java:48) ~[spring-data-redis-2.1.5.RELEASE.jar:2.1.5.RELEASE]
at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration$PoolBuilderFactory.createBuilder(LettuceConnectionConfiguration.java:149) ~[spring-boot-autoconfigure-2.1.3.RELEASE.jar:2.1.3.RELEASE]
at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration.createBuilder(LettuceConnectionConfiguration.java:107) ~[spring-boot-autoconfigure-2.1.3.RELEASE.jar:2.1.3.RELEASE]
at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration.getLettuceClientConfiguration(LettuceConnectionConfiguration.java:93) ~[spring-boot-autoconfigure-2.1.3.RELEASE.jar:2.1.3.RELEASE]
at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration.redisConnectionFactory(LettuceConnectionConfiguration.java:74) ~[spring-boot-autoconfigure-2.1.3.RELEASE.jar:2.1.3.RELEASE]
at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration$$EnhancerBySpringCGLIB$$5caa7e47.CGLIB$redisConnectionFactory$0(<generated>) ~[spring-boot-autoconfigure-2.1.3.RELEASE.jar:2.1.3.RELEASE]
at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration$$EnhancerBySpringCGLIB$$5caa7e47$$FastClassBySpringCGLIB$$b8ae2813.invoke(<generated>) ~[spring-boot-autoconfigure-2.1.3.RELEASE.jar:2.1.3.RELEASE]
at org.springframework.cglib.proxy.MethodProxy.invokeSuper(MethodProxy.java:244) ~[spring-core-5.1.5.RELEASE.jar:5.1.5.RELEASE]
at org.springframework.context.annotation.ConfigurationClassEnhancer$BeanMethodInterceptor.intercept(ConfigurationClassEnhancer.java:363) ~[spring-context-5.1.5.RELEASE.jar:5.1.5.RELEASE]
at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration$$EnhancerBySpringCGLIB$$5caa7e47.redisConnectionFactory(<generated>) ~[spring-boot-autoconfigure-2.1.3.RELEASE.jar:2.1.3.RELEASE]
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) ~[na:1.8.0_91]
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) ~[na:1.8.0_91]
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[na:1.8.0_91]
at java.lang.reflect.Method.invoke(Method.java:498) ~[na:1.8.0_91]
at org.springframework.beans.factory.support.SimpleInstantiationStrategy.instantiate(SimpleInstantiationStrategy.java:154) ~[spring-beans-5.1.5.RELEASE.jar:5.1.5.RELEASE]
... 111 common frames omitted
复制代码Free operating Redis
Spring Cache provides us with a convenient way to operate Redis cache, but there are many limitations. For example, we want to set the value of a single cache validity how to do? We do not want to return the cached value method, we would like to produce intermediate caching method in the value of how to do? At this point we need to use RedisTemplate this class, then we at in terms of how to operate freely in Redis cache by RedisTemplate.
RedisService
Redis operation defined traffic class, there are several data structures in Redis, such conventional structure (object), the Hash structure, Set Structure, List structure, the most common interface defines the method of operation.
/**
* redis操作Service
* Created by macro on 2020/3/3.
*/
public interface RedisService {
/**
* 保存属性
*/
void set(String key, Object value, long time);
/**
* 保存属性
*/
void set(String key, Object value);
/**
* 获取属性
*/
Object get(String key);
/**
* 删除属性
*/
Boolean del(String key);
/**
* 批量删除属性
*/
Long del(List<String> keys);
/**
* 设置过期时间
*/
Boolean expire(String key, long time);
/**
* 获取过期时间
*/
Long getExpire(String key);
/**
* 判断是否有该属性
*/
Boolean hasKey(String key);
/**
* 按delta递增
*/
Long incr(String key, long delta);
/**
* 按delta递减
*/
Long decr(String key, long delta);
/**
* 获取Hash结构中的属性
*/
Object hGet(String key, String hashKey);
/**
* 向Hash结构中放入一个属性
*/
Boolean hSet(String key, String hashKey, Object value, long time);
/**
* 向Hash结构中放入一个属性
*/
void hSet(String key, String hashKey, Object value);
/**
* 直接获取整个Hash结构
*/
Map<Object, Object> hGetAll(String key);
/**
* 直接设置整个Hash结构
*/
Boolean hSetAll(String key, Map<String, Object> map, long time);
/**
* 直接设置整个Hash结构
*/
void hSetAll(String key, Map<String, Object> map);
/**
* 删除Hash结构中的属性
*/
void hDel(String key, Object... hashKey);
/**
* 判断Hash结构中是否有该属性
*/
Boolean hHasKey(String key, String hashKey);
/**
* Hash结构中属性递增
*/
Long hIncr(String key, String hashKey, Long delta);
/**
* Hash结构中属性递减
*/
Long hDecr(String key, String hashKey, Long delta);
/**
* 获取Set结构
*/
Set<Object> sMembers(String key);
/**
* 向Set结构中添加属性
*/
Long sAdd(String key, Object... values);
/**
* 向Set结构中添加属性
*/
Long sAdd(String key, long time, Object... values);
/**
* 是否为Set中的属性
*/
Boolean sIsMember(String key, Object value);
/**
* 获取Set结构的长度
*/
Long sSize(String key);
/**
* 删除Set结构中的属性
*/
Long sRemove(String key, Object... values);
/**
* 获取List结构中的属性
*/
List<Object> lRange(String key, long start, long end);
/**
* 获取List结构的长度
*/
Long lSize(String key);
/**
* 根据索引获取List中的属性
*/
Object lIndex(String key, long index);
/**
* 向List结构中添加属性
*/
Long lPush(String key, Object value);
/**
* 向List结构中添加属性
*/
Long lPush(String key, Object value, long time);
/**
* 向List结构中批量添加属性
*/
Long lPushAll(String key, Object... values);
/**
* 向List结构中批量添加属性
*/
Long lPushAll(String key, Long time, Object... values);
/**
* 从List结构中移除属性
*/
Long lRemove(String key, long count, Object value);
}
复制代码RedisServiceImpl
RedisService implementation class, using RedisTemplate Redis to operate freely in the data cache.
/**
* redis操作实现类
* Created by macro on 2020/3/3.
*/
@Service
public class RedisServiceImpl implements RedisService {
@Autowired
private RedisTemplate<String, Object> redisTemplate;
@Override
public void set(String key, Object value, long time) {
redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS);
}
@Override
public void set(String key, Object value) {
redisTemplate.opsForValue().set(key, value);
}
@Override
public Object get(String key) {
return redisTemplate.opsForValue().get(key);
}
@Override
public Boolean del(String key) {
return redisTemplate.delete(key);
}
@Override
public Long del(List<String> keys) {
return redisTemplate.delete(keys);
}
@Override
public Boolean expire(String key, long time) {
return redisTemplate.expire(key, time, TimeUnit.SECONDS);
}
@Override
public Long getExpire(String key) {
return redisTemplate.getExpire(key, TimeUnit.SECONDS);
}
@Override
public Boolean hasKey(String key) {
return redisTemplate.hasKey(key);
}
@Override
public Long incr(String key, long delta) {
return redisTemplate.opsForValue().increment(key, delta);
}
@Override
public Long decr(String key, long delta) {
return redisTemplate.opsForValue().increment(key, -delta);
}
@Override
public Object hGet(String key, String hashKey) {
return redisTemplate.opsForHash().get(key, hashKey);
}
@Override
public Boolean hSet(String key, String hashKey, Object value, long time) {
redisTemplate.opsForHash().put(key, hashKey, value);
return expire(key, time);
}
@Override
public void hSet(String key, String hashKey, Object value) {
redisTemplate.opsForHash().put(key, hashKey, value);
}
@Override
public Map<Object, Object> hGetAll(String key) {
return redisTemplate.opsForHash().entries(key);
}
@Override
public Boolean hSetAll(String key, Map<String, Object> map, long time) {
redisTemplate.opsForHash().putAll(key, map);
return expire(key, time);
}
@Override
public void hSetAll(String key, Map<String, Object> map) {
redisTemplate.opsForHash().putAll(key, map);
}
@Override
public void hDel(String key, Object... hashKey) {
redisTemplate.opsForHash().delete(key, hashKey);
}
@Override
public Boolean hHasKey(String key, String hashKey) {
return redisTemplate.opsForHash().hasKey(key, hashKey);
}
@Override
public Long hIncr(String key, String hashKey, Long delta) {
return redisTemplate.opsForHash().increment(key, hashKey, delta);
}
@Override
public Long hDecr(String key, String hashKey, Long delta) {
return redisTemplate.opsForHash().increment(key, hashKey, -delta);
}
@Override
public Set<Object> sMembers(String key) {
return redisTemplate.opsForSet().members(key);
}
@Override
public Long sAdd(String key, Object... values) {
return redisTemplate.opsForSet().add(key, values);
}
@Override
public Long sAdd(String key, long time, Object... values) {
Long count = redisTemplate.opsForSet().add(key, values);
expire(key, time);
return count;
}
@Override
public Boolean sIsMember(String key, Object value) {
return redisTemplate.opsForSet().isMember(key, value);
}
@Override
public Long sSize(String key) {
return redisTemplate.opsForSet().size(key);
}
@Override
public Long sRemove(String key, Object... values) {
return redisTemplate.opsForSet().remove(key, values);
}
@Override
public List<Object> lRange(String key, long start, long end) {
return redisTemplate.opsForList().range(key, start, end);
}
@Override
public Long lSize(String key) {
return redisTemplate.opsForList().size(key);
}
@Override
public Object lIndex(String key, long index) {
return redisTemplate.opsForList().index(key, index);
}
@Override
public Long lPush(String key, Object value) {
return redisTemplate.opsForList().rightPush(key, value);
}
@Override
public Long lPush(String key, Object value, long time) {
Long index = redisTemplate.opsForList().rightPush(key, value);
expire(key, time);
return index;
}
@Override
public Long lPushAll(String key, Object... values) {
return redisTemplate.opsForList().rightPushAll(key, values);
}
@Override
public Long lPushAll(String key, Long time, Object... values) {
Long count = redisTemplate.opsForList().rightPushAll(key, values);
expire(key, time);
return count;
}
@Override
public Long lRemove(String key, long count, Object value) {
return redisTemplate.opsForList().remove(key, count, value);
}
}
复制代码RedisController
Controller test RedisService in cache operations, we can call the next test.
/**
* Redis测试Controller
* Created by macro on 2020/3/3.
*/
@Api(tags = "RedisController", description = "Redis测试")
@Controller
@RequestMapping("/redis")
public class RedisController {
@Autowired
private RedisService redisService;
@Autowired
private PmsBrandService brandService;
@ApiOperation("测试简单缓存")
@RequestMapping(value = "/simpleTest", method = RequestMethod.GET)
@ResponseBody
public CommonResult<PmsBrand> simpleTest() {
List<PmsBrand> brandList = brandService.list(1, 5);
PmsBrand brand = brandList.get(0);
String key = "redis:simple:" + brand.getId();
redisService.set(key, brand);
PmsBrand cacheBrand = (PmsBrand) redisService.get(key);
return CommonResult.success(cacheBrand);
}
@ApiOperation("测试Hash结构的缓存")
@RequestMapping(value = "/hashTest", method = RequestMethod.GET)
@ResponseBody
public CommonResult<PmsBrand> hashTest() {
List<PmsBrand> brandList = brandService.list(1, 5);
PmsBrand brand = brandList.get(0);
String key = "redis:hash:" + brand.getId();
Map<String, Object> value = BeanUtil.beanToMap(brand);
redisService.hSetAll(key, value);
Map<Object, Object> cacheValue = redisService.hGetAll(key);
PmsBrand cacheBrand = BeanUtil.mapToBean(cacheValue, PmsBrand.class, true);
return CommonResult.success(cacheBrand);
}
@ApiOperation("测试Set结构的缓存")
@RequestMapping(value = "/setTest", method = RequestMethod.GET)
@ResponseBody
public CommonResult<Set<Object>> setTest() {
List<PmsBrand> brandList = brandService.list(1, 5);
String key = "redis:set:all";
redisService.sAdd(key, (Object[]) ArrayUtil.toArray(brandList, PmsBrand.class));
redisService.sRemove(key, brandList.get(0));
Set<Object> cachedBrandList = redisService.sMembers(key);
return CommonResult.success(cachedBrandList);
}
@ApiOperation("测试List结构的缓存")
@RequestMapping(value = "/listTest", method = RequestMethod.GET)
@ResponseBody
public CommonResult<List<Object>> listTest() {
List<PmsBrand> brandList = brandService.list(1, 5);
String key = "redis:list:all";
redisService.lPushAll(key, (Object[]) ArrayUtil.toArray(brandList, PmsBrand.class));
redisService.lRemove(key, 1, brandList.get(0));
List<Object> cachedBrandList = redisService.lRange(key, 0, 3);
return CommonResult.success(cachedBrandList);
}
}
复制代码Project Source Address
the public
mall project a full tutorial serialized in public concern number the first time to obtain.