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update 升级 luttuce 为 redisson 性能更强 工具更全

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疯狂的狮子li
2021-05-31 23:21:14 +08:00
parent f3aaa7ea7a
commit 99c4692a0d
7 changed files with 427 additions and 250 deletions
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8
pom.xml
View File

@@ -31,6 +31,7 @@
<feign.version>2.2.6.RELEASE</feign.version>
<feign-okhttp.version>11.0</feign-okhttp.version>
<spring-boot-admin.version>2.3.1</spring-boot-admin.version>
<redisson.version>3.15.2</redisson.version>
</properties>
<!-- 依赖声明 -->
@@ -180,6 +181,13 @@
<version>${ruoyi-vue-plus.version}</version>
</dependency>
<!--redisson-->
<dependency>
<groupId>org.redisson</groupId>
<artifactId>redisson-spring-boot-starter</artifactId>
<version>${redisson.version}</version>
</dependency>
</dependencies>
</dependencyManagement>

45
ruoyi-admin/src/main/resources/application-dev.yml
View File

@@ -67,13 +67,38 @@ spring:
password:
# 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
# 是否开启ssl
ssl: false
--- # redisson 客户端配置
redisson:
# 线程池数量
threads: 16
# Netty线程池数量
nettyThreads: 32
# 传输模式
transportMode: "NIO"
# 单节点配置
singleServerConfig:
# 客户端名称
clientName: ${ruoyi-vue-plus.name}
# 最小空闲连接数
connectionMinimumIdleSize: 32
# 连接池大小
connectionPoolSize: 64
# 连接空闲超时，单位：毫秒
idleConnectionTimeout: 10000
# 命令等待超时，单位：毫秒
timeout: 3000
# 如果尝试在此限制之内发送成功，则开始启用 timeout 计时。
retryAttempts: 3
# 命令重试发送时间间隔，单位：毫秒
retryInterval: 1500
# 发布和订阅连接的最小空闲连接数
subscriptionConnectionMinimumIdleSize: 1
# 发布和订阅连接池大小
subscriptionConnectionPoolSize: 50
# 单个连接最大订阅数量
subscriptionsPerConnection: 5
# DNS监测时间间隔，单位：毫秒
dnsMonitoringInterval: 5000

45
ruoyi-admin/src/main/resources/application-prod.yml
View File

@@ -67,13 +67,38 @@ spring:
password:
# 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
# 是否开启ssl
ssl: false
--- # redisson 客户端配置
redisson:
# 线程池数量
threads: 16
# Netty线程池数量
nettyThreads: 32
# 传输模式
transportMode: "NIO"
# 单节点配置
singleServerConfig:
# 客户端名称
clientName: ${ruoyi-vue-plus.name}
# 最小空闲连接数
connectionMinimumIdleSize: 32
# 连接池大小
connectionPoolSize: 64
# 连接空闲超时，单位：毫秒
idleConnectionTimeout: 10000
# 命令等待超时，单位：毫秒
timeout: 3000
# 如果尝试在此限制之内发送成功，则开始启用 timeout 计时。
retryAttempts: 3
# 命令重试发送时间间隔，单位：毫秒
retryInterval: 1500
# 发布和订阅连接的最小空闲连接数
subscriptionConnectionMinimumIdleSize: 1
# 发布和订阅连接池大小
subscriptionConnectionPoolSize: 50
# 单个连接最大订阅数量
subscriptionsPerConnection: 5
# DNS监测时间间隔，单位：毫秒
dnsMonitoringInterval: 5000

6
ruoyi-common/pom.xml
View File

@@ -151,6 +151,12 @@
<artifactId>spring-boot-configuration-processor</artifactId>
</dependency>
<!--redisson-->
<dependency>
<groupId>org.redisson</groupId>
<artifactId>redisson-spring-boot-starter</artifactId>
</dependency>
</dependencies>
</project>

397
ruoyi-common/src/main/java/com/ruoyi/common/core/redis/RedisCache.java
View File

@@ -1,234 +1,219 @@
package com.ruoyi.common.core.redis;
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 com.google.common.collect.Lists;
import org.redisson.api.*;
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;
import java.util.*;
import java.util.concurrent.TimeUnit;
/**
* spring redis 工具类
*
* @author ruoyi
* @author shenxinquan
**/
@SuppressWarnings(value = { "unchecked", "rawtypes" })
@SuppressWarnings(value = {"unchecked", "rawtypes"})
@Component
public class RedisCache
{
@Autowired
public RedisTemplate redisTemplate;
public class RedisCache {
/**
* 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);
}
@Autowired
private RedissonClient redissonClient;
/**
* 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);
}
/**
* 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) {
redissonClient.getBucket(key).set(value);
}
/**
* 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);
}
/**
* 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) {
RBucket<T> result = redissonClient.getBucket(key);
result.set(value);
result.expire(timeout, timeUnit);
}
/**
* 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);
}
/**
* 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);
}
/**
* 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);
}
/**
* 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) {
RBucket rBucket = redissonClient.getBucket(key);
return rBucket.expire(timeout, unit);
}
/**
* 删除单个对象
*
* @param key
*/
public boolean deleteObject(final String key)
{
return redisTemplate.delete(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) {
RBucket<T> rBucket = redissonClient.getBucket(key);
return rBucket.get();
}
/**
* 删除集合对象
*
* @param collection 多个对象
* @return
*/
public long deleteObject(final Collection collection)
{
return redisTemplate.delete(collection);
}
/**
* 删除单个对象
*
* @param key
*/
public boolean deleteObject(final String key) {
return redissonClient.getBucket(key).delete();
}
/**
* 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);
}
/**
* 删除集合对象
*
* @param collection 多个对象
* @return
*/
public long deleteObject(final Collection collection) {
return redissonClient.getKeys().delete(Arrays.toString(collection.toArray()));
}
/**
* 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;
}
/**
* 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> boolean setCacheList(final String key, final List<T> dataList) {
RList<T> rList = redissonClient.getList(key);
return rList.addAll(dataList);
}
/**
* 获得缓存的set
*
* @param key
* @return
*/
public <T> Set<T> getCacheSet(final String key)
{
return redisTemplate.opsForSet().members(key);
}
/**
* 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) {
RList<T> rList = redissonClient.getList(key);
return rList.readAll();
}
/**
* 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);
}
}
/**
* 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> boolean setCacheSet(final String key, final Set<T> dataSet) {
RSet<T> rSet = redissonClient.getSet(key);
return rSet.addAll(dataSet);
}
/**
* 获得缓存的Map
*
* @param key
* @return
*/
public <T> Map<String, T> getCacheMap(final String key)
{
return redisTemplate.opsForHash().entries(key);
}
/**
* 获得缓存的set
*
* @param key
* @return
*/
public <T> Set<T> getCacheSet(final String key) {
RSet<T> rSet = redissonClient.getSet(key);
return rSet.readAll();
}
/**
* 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);
}
/**
* 缓存Map
*
* @param key
* @param dataMap
*/
public <T> void setCacheMap(final String key, final Map<String, T> dataMap) {
if (dataMap != null) {
RMap<String, T> rMap = redissonClient.getMap(key);
rMap.putAll(dataMap);
}
}
/**
* 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);
}
/**
* 获得缓存的Map
*
* @param key
* @return
*/
public <T> Map<String, T> getCacheMap(final String key) {
RMap<String, T> rMap = redissonClient.getMap(key);
return rMap.getAll(rMap.keySet());
}
/**
* 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);
}
/**
* 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) {
RMap<String, T> rMap = redissonClient.getMap(key);
rMap.put(hKey, value);
}
/**
* 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);
}
/**
* 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) {
RMap<String, T> rMap = redissonClient.getMap(key);
return rMap.get(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) {
RListMultimap rListMultimap = redissonClient.getListMultimap(key);
return rListMultimap.getAll(hKeys);
}
/**
* 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) {
Iterable<String> iterable = redissonClient.getKeys().getKeysByPattern(pattern);
return Lists.newArrayList(iterable);
}
}

75
ruoyi-framework/src/main/java/com/ruoyi/framework/config/RedisConfig.java
View File

@@ -1,42 +1,69 @@
package com.ruoyi.framework.config;
import com.alibaba.fastjson.support.spring.GenericFastJsonRedisSerializer;
import com.ruoyi.framework.config.properties.RedissonProperties;
import org.redisson.Redisson;
import org.redisson.api.RedissonClient;
import org.redisson.codec.JsonJacksonCodec;
import org.redisson.config.Config;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
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.serializer.StringRedisSerializer;
import java.io.IOException;
/**
* redis配置
*
* @author ruoyi
* @author Lion Li
*/
@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);
public class RedisConfig extends CachingConfigurerSupport {
GenericFastJsonRedisSerializer serializer = new GenericFastJsonRedisSerializer();
StringRedisSerializer keySerializer = new StringRedisSerializer();
private static final String REDIS_PROTOCOL_PREFIX = "redis://";
private static final String REDISS_PROTOCOL_PREFIX = "rediss://";
// 使用StringRedisSerializer来序列化和反序列化redis的key值
template.setKeySerializer(keySerializer);
template.setValueSerializer(serializer);
@Autowired
private RedisProperties redisProperties;
// Hash的key也采用StringRedisSerializer的序列化方式
template.setHashKeySerializer(keySerializer);
template.setHashValueSerializer(serializer);
@Autowired
private RedissonProperties redissonProperties;
template.afterPropertiesSet();
return template;
}
@Bean(destroyMethod = "shutdown")
@ConditionalOnMissingBean(RedissonClient.class)
public RedissonClient redisson() throws IOException {
String prefix = REDIS_PROTOCOL_PREFIX;
if (redisProperties.isSsl()) {
prefix = REDISS_PROTOCOL_PREFIX;
}
Config config = new Config();
config.setThreads(redissonProperties.getThreads())
.setNettyThreads(redissonProperties.getNettyThreads())
.setCodec(JsonJacksonCodec.INSTANCE)
.setTransportMode(redissonProperties.getTransportMode());
RedissonProperties.SingleServerConfig singleServerConfig = redissonProperties.getSingleServerConfig();
// 使用单机模式
config.useSingleServer()
.setAddress(prefix + redisProperties.getHost() + ":" + redisProperties.getPort())
.setConnectTimeout(((Long) redisProperties.getTimeout().toMillis()).intValue())
.setDatabase(redisProperties.getDatabase())
.setPassword(redisProperties.getPassword())
.setTimeout(singleServerConfig.getTimeout())
.setRetryAttempts(singleServerConfig.getRetryAttempts())
.setRetryInterval(singleServerConfig.getRetryInterval())
.setSubscriptionsPerConnection(singleServerConfig.getSubscriptionsPerConnection())
.setClientName(singleServerConfig.getClientName())
.setIdleConnectionTimeout(singleServerConfig.getIdleConnectionTimeout())
.setSubscriptionConnectionMinimumIdleSize(singleServerConfig.getSubscriptionConnectionMinimumIdleSize())
.setSubscriptionConnectionPoolSize(singleServerConfig.getSubscriptionConnectionPoolSize())
.setConnectionMinimumIdleSize(singleServerConfig.getConnectionMinimumIdleSize())
.setConnectionPoolSize(singleServerConfig.getConnectionPoolSize())
.setDnsMonitoringInterval(singleServerConfig.getDnsMonitoringInterval());
return Redisson.create(config);
}
}

101
ruoyi-framework/src/main/java/com/ruoyi/framework/config/properties/RedissonProperties.java Normal file
View File

@@ -0,0 +1,101 @@
package com.ruoyi.framework.config.properties;
import lombok.Data;
import lombok.NoArgsConstructor;
import org.redisson.client.codec.Codec;
import org.redisson.config.TransportMode;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.stereotype.Component;
/**
* Redisson 配置属性
*
* @author Lion Li
*/
@Data
@Component
@ConfigurationProperties(prefix = "redisson")
public class RedissonProperties {
/**
* 线程池数量,默认值 = 当前处理核数量 * 2
*/
private int threads;
/**
* Netty线程池数量,默认值 = 当前处理核数量 * 2
*/
private int nettyThreads;
/**
* 传输模式
*/
private TransportMode transportMode;
/**
* 单机服务配置
*/
private SingleServerConfig singleServerConfig;
@Data
@NoArgsConstructor
public static class SingleServerConfig {
/**
* 客户端名称
*/
private String clientName;
/**
* 最小空闲连接数
*/
private int connectionMinimumIdleSize;
/**
* 连接池大小
*/
private int connectionPoolSize;
/**
* 连接空闲超时，单位：毫秒
*/
private int idleConnectionTimeout;
/**
* 命令等待超时，单位：毫秒
*/
private int timeout;
/**
* 如果尝试在此限制之内发送成功，则开始启用 timeout 计时。
*/
private int retryAttempts;
/**
* 命令重试发送时间间隔，单位：毫秒
*/
private int retryInterval;
/**
* 发布和订阅连接的最小空闲连接数
*/
private int subscriptionConnectionMinimumIdleSize;
/**
* 发布和订阅连接池大小
*/
private int subscriptionConnectionPoolSize;
/**
* 单个连接最大订阅数量
*/
private int subscriptionsPerConnection;
/**
* DNS监测时间间隔，单位：毫秒
*/
private int dnsMonitoringInterval;
}
}