1、问题背景
在一个Spring boot项目中,需要使用redis作为缓存,于是将使用spring-boot-starter-data-redis,具体依赖如下:
代码语言:javascript复制 <dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
<version>2.0.4.RELEASE</version>
</dependency>
在测试环境中,功能测试,压力测试,都没有发现问题,原因是测试环境中redis自行搭建,没有设置密码,但是上线后,Redis使用的是A***的Pass服务的集群,并设置密码,使用过程中发现如下问题:
- redis负载高;
- redis异常,错误信息:
com.lambdaworks.redis.RedisException: java.lang.IllegalArgumentException: Connection to XXX.XX.XXX.XXX:15000 not allowed. This connection point is not known in the cluster viewjava.lang.IllegalArgumentException: Connection to XXX.XX.XXX.XXX:15000 not allowed. This connection point is not known in the cluster viewConnection to XXX.XX.XXX.XXX:15000 not allowed. This connection point is not known in the cluster view
2、问题分析 解决方法
2.1、redis负载过高问题
2.1.1、问题原因
原本打算看一下是否是代码逻辑问题导致redis负载过高,于是登录redis服务器使用monitor命令观察命令执行的频率,发现每执行一次命令都执行一次Auth password
命令,说明连接池未正确使用导致执行一次命令创建一次连接,导致负载高 ,并且代码执行效率低 。
2.1.2、解决方法
然后对比了使用JedisCluster的项目没有此类问题,因此怀疑是spring-boot-starter-data-redis的RedisTemplate的问题,查看源码后发现spring-data-redis的驱动包在某个版本之后替换为 Lettuce,在启用集群后jedis的连接池无效。错误配置如下:
代码语言:javascript复制# 错误配置
# Redis配置
spring.redis.cluster.nodes=127.0.0.1:6379
### 连接超时时间(毫秒)
spring.redis.timeout=60000
spring.redis.password=xxxxxxx
# 连接池最大连接数(使用负值表示没有限制)
spring.redis.jedis.pool.max-active=8
##连接池最大阻塞等待时间,若使用负值表示没有限制
spring.redis.jedis.pool.max-wait=-1
##连接池中的最大空闲连接
spring.redis.jedis.pool.max-idle=8
# 连接池中的最小空闲连接
spring.redis.jedis.pool.min-idle=0
需要改成正确的配置,修改之后无此现象,具体配置如下:
单机版:
代码语言:javascript复制# 单机版
# Redis配置
spring.redis.host=127.0.0.1
spring.redis.port=6379
### 连接超时时间(毫秒)
spring.redis.timeout=60000
spring.redis.password=xxxxxxx
# 连接池最大连接数(使用负值表示没有限制)
spring.redis.jedis.pool.max-active=8
##连接池最大阻塞等待时间,若使用负值表示没有限制
spring.redis.jedis.pool.max-wait=-1
##连接池中的最大空闲连接
spring.redis.jedis.pool.max-idle=8
# 连接池中的最小空闲连接
spring.redis.jedis.pool.min-idle=0
集群版:
代码语言:javascript复制#集群版
# Redis配置
spring.redis.cluster.nodes=127.0.0.1:6379
### 连接超时时间(毫秒)
spring.redis.timeout=60000
spring.redis.password=xxxxxxx
# 连接池最大连接数(使用负值表示没有限制)
spring.redis.lettuce.pool.max-active=8
##连接池最大阻塞等待时间,若使用负值表示没有限制
spring.redis.lettuce.pool.max-wait=-1
##连接池中的最大空闲连接
spring.redis.lettuce.pool.max-idle=8
# 连接池中的最小空闲连接
spring.redis.lettuce.pool.min-idle=0
注意:启用集群版,需要额外添加如下依赖
代码语言:javascript复制 <dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
<version>2.8.0</version>
</dependency>
2.2、redis异常 Connection to XXX.XX.XXX.XXX:15000 not allowed 问题
2.2.1、问题原因
网上搜索了一下,发现项目github上已有此问题的反馈以及解决办法github.com/lettuce-io/…,原因是由于Lettuce其中有个配置项validateClusterNodeMembership
默认是true导致;
2.2.2、解决办法
由于spring boot未能直接通过配置文件直接修改此配置,因此需要自定义Redis配置,具体代码如下: MylettuceConnectionFactory.java
代码语言:javascript复制package com.quison.test.config;
import io.lettuce.core.AbstractRedisClient;
import io.lettuce.core.cluster.ClusterClientOptions;
import io.lettuce.core.cluster.ClusterTopologyRefreshOptions;
import io.lettuce.core.cluster.RedisClusterClient;
import org.springframework.beans.DirectFieldAccessor;
import org.springframework.data.redis.connection.RedisClusterConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceClientConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration;
import java.util.concurrent.TimeUnit;
public class MyLettuceConnectionFactory extends LettuceConnectionFactory {
public MyLettuceConnectionFactory() { }
public MyLettuceConnectionFactory(RedisClusterConfiguration redisClusterConfiguration, LettuceClientConfiguration lettuceClientConfiguration) {
super(redisClusterConfiguration, lettuceClientConfiguration);
}
@Override
public void afterPropertiesSet() {
super.afterPropertiesSet();
DirectFieldAccessor accessor = new DirectFieldAccessor(this);
AbstractRedisClient client = (AbstractRedisClient) accessor.getPropertyValue("client");
if(client instanceof RedisClusterClient){
RedisClusterClient clusterClient = (RedisClusterClient) client;
ClusterTopologyRefreshOptions topologyRefreshOptions = ClusterTopologyRefreshOptions.builder()
.enablePeriodicRefresh(10, TimeUnit.MINUTES)
.enableAllAdaptiveRefreshTriggers()
.build();
ClusterClientOptions clusterClientOptions = ClusterClientOptions.builder()
// 注意此配置项设置为false
.validateClusterNodeMembership(false)
.topologyRefreshOptions(topologyRefreshOptions)
.build();
clusterClient.setOptions(clusterClientOptions);
}
}
}
由于配置后,连接池也需要自行设置,因此Redis的配置文件修改为如下设置 RedisConfig.java
代码语言:javascript复制package com.quison.test.config;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.data.redis.connection.*;
import org.springframework.data.redis.connection.lettuce.DefaultLettucePool;
import org.springframework.data.redis.connection.lettuce.LettuceClientConfiguration;
import org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.time.Duration;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Set;
@Configuration
public class RedisConfig {
@Value("${spring.redis.cluster.nodes}")
private String clusterNodes;
@Value("${spring.redis.password}")
private String password;
@Value("${spring.redis.lettuce.pool.max-idle}")
private Integer maxIdle;
@Value("${spring.redis.lettuce.pool.max-active}")
private Integer maxActive;
@Value("${spring.redis.cluster.max-redirects}")
private Integer maxRedirects;
@Bean
public RedisConnectionFactory myRedisConnectionFactory() {
RedisClusterConfiguration redisClusterConfiguration = new RedisClusterConfiguration();
String[] serverArray = clusterNodes.split(",");
Set<RedisNode> nodes = new HashSet<RedisNode>();
for (String ipPort : serverArray) {
String[] ipAndPort = ipPort.split(":");
nodes.add(new RedisNode(ipAndPort[0].trim(), Integer.valueOf(ipAndPort[1])));
}
redisClusterConfiguration.setPassword(RedisPassword.of(password));
redisClusterConfiguration.setClusterNodes(nodes);
redisClusterConfiguration.setMaxRedirects(maxRedirects);
GenericObjectPoolConfig genericObjectPoolConfig = new GenericObjectPoolConfig();
genericObjectPoolConfig.setMaxIdle(maxIdle);
genericObjectPoolConfig.setMinIdle(8);
genericObjectPoolConfig.setMaxTotal(maxActive);
genericObjectPoolConfig.setMaxWaitMillis(10000);
LettuceClientConfiguration clientConfig = LettucePoolingClientConfiguration.builder()
.commandTimeout(Duration.ofMillis(10000))
.poolConfig(genericObjectPoolConfig)
.build();
return new MyLettuceConnectionFactory(redisClusterConfiguration, clientConfig);
}
/**
* redis模板,存储关键字是字符串,值是Jdk序列化
*
* @param myRedisConnectionFactory
* @return
* @Description:
*/
@Bean
@ConditionalOnMissingBean(name = "redisTemplate")
@Primary
public RedisTemplate<?, ?> redisTemplate(RedisConnectionFactory myRedisConnectionFactory) {
RedisTemplate<?, ?> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(myRedisConnectionFactory);
//key序列化方式;但是如果方法上有Long等非String类型的话,会报类型转换错误;
RedisSerializer<String> redisSerializer = new StringRedisSerializer();
redisTemplate.setKeySerializer(redisSerializer);
redisTemplate.setHashKeySerializer(redisSerializer);
//默认使用JdkSerializationRedisSerializer序列化方式;会出现乱码,改成StringRedisSerializer
StringRedisSerializer stringSerializer = new StringRedisSerializer();
redisTemplate.setKeySerializer(stringSerializer);
redisTemplate.setValueSerializer(stringSerializer);
redisTemplate.setHashKeySerializer(stringSerializer);
redisTemplate.setHashValueSerializer(stringSerializer);
return redisTemplate;
}
}
3、总结
吃一堑、长一智,总结如下:
- 开发 测试环境尽量与线上一致,可提前发现问题;
- 使用新技术需要多多测试再投入生产使用;