我有一个Spring启动应用程序,可以与两个不同的Redis群集进行通信(在Amazon Elasticache上)。我正在使用spring-data-redis 1.6.4。这是我的不同Redis配置的代码:
@Configuration
public class RedisConfig {
@Bean
@Primary
public JedisConnectionFactory clusterAJedisConnectionFactory() {
JedisConnectionFactory jedisConnectionFactory = new JedisConnectionFactory();
jedisConnectionFactory.setHostName(clusterAUrl);
jedisConnectionFactory.setPort(clusterAPort);
jedisConnectionFactory.setUsePool(true);
return jedisConnectionFactory;
}
@Bean
public JedisConnectionFactory clusterBJedisConnectionFactory() {
JedisConnectionFactory jedisConnectionFactory = new JedisConnectionFactory();
jedisConnectionFactory.setHostName(clusterBUrl);
jedisConnectionFactory.setPort(clusterBPort);
jedisConnectionFactory.setUsePool(true);
return jedisConnectionFactory;
}
@Bean(name="clusterARedisTemplate")
public RedisTemplate<String, Object> clusterARedisTemplate() {
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>();
redisTemplate.setConnectionFactory(clusterAJedisConnectionFactory());
redisTemplate.setKeySerializer( new StringRedisSerializer() );
redisTemplate.setHashValueSerializer( new GenericToStringSerializer< Object >( Object.class ) );
redisTemplate.setValueSerializer( new GenericToStringSerializer< Object >( Object.class ) );
return redisTemplate;
}
@Bean(name="clusterBRedisTemplate")
public RedisTemplate<String, Object> clusterBRedisTemplate() {
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>();
redisTemplate.setConnectionFactory(clusterBJedisConnectionFactory());
redisTemplate.setKeySerializer( new StringRedisSerializer() );
redisTemplate.setHashValueSerializer( new GenericToStringSerializer< Object >( Object.class ) );
redisTemplate.setValueSerializer( new GenericToStringSerializer< Object >( Object.class ) );
return redisTemplate;
}
}
然后,在我的代码中,我有类似的东西用于它:
@Service
RedisService {
private final RedisConfig redisConfig;
private final ObjectMapper mapper;
@Autowired
public RedisCache(RedisConfig redisConfig, ObjectMapper mapper) {
this.redisConfig = redisConfig;
this.mapper = mapper;
}
@Async
public void saveValueInClusterA(String cacheKey, MyObject myObject) {
try {
String cacheValue = mapper.writeValueAsString(myObject);
redisConfig.clusterARedisTemplate().opsForValue().set(cacheKey, cacheValue, 1, TimeUnit.HOURS);
} catch ( Exception e ) {
LOGGER.error(...);
}
}
public MyObject getValueFromClusterA(String cacheKey) {
MyObject myObject = null;
try {
String cachedEntry = redisConfig.clusterARedisTemplate().opsForValue().get(cacheKey).toString();
myObject = mapper.readValue(cachedEntry, MyObject.class);
} catch ( Exception e ) {
LOGGER.error (...);
}
return myObject;
}
@Async
public void saveValueInClusterB(String cacheKey, MyObject myObject) {
try {
String cacheValue = mapper.writeValueAsString(myObject);
redisConfig.clusterBRedisTemplate().opsForValue().set(cacheKey, cacheValue, 1, TimeUnit.HOURS);
} catch ( Exception e ) {
LOGGER.error(...);
}
}
public MyObject getValueFromClusterB(String cacheKey) {
MyObject myObject = null;
try {
String cachedEntry = redisConfig.clusterBRedisTemplate().opsForValue().get(cacheKey).toString();
myObject = mapper.readValue(cachedEntry, MyObject.class);
} catch ( Exception e ) {
LOGGER.error (...);
}
return myObject;
}
}
这在正常负载下工作正常。但是,当我进行负载测试并进行线程转储时,我发现大多数线程都在等待这样的事情:
"XNIO-2 task-973" #1547 prio=5 os_prio=0 tid=0x00007f472c41d800 nid=0x2d4e waiting on condition [0x00007f4680851000]
java.lang.Thread.State: WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x00000004ab53fb58> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
at java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)
at org.apache.commons.pool2.impl.LinkedBlockingDeque.takeFirst(LinkedBlockingDeque.java:583)
at org.apache.commons.pool2.impl.GenericObjectPool.borrowObject(GenericObjectPool.java:442)
at org.apache.commons.pool2.impl.GenericObjectPool.borrowObject(GenericObjectPool.java:363)
at redis.clients.util.Pool.getResource(Pool.java:48)
at redis.clients.jedis.JedisPool.getResource(JedisPool.java:99)
at redis.clients.jedis.JedisPool.getResource(JedisPool.java:12)
at org.springframework.data.redis.connection.jedis.JedisConnectionFactory.fetchJedisConnector(JedisConnectionFactory.java:155)
at org.springframework.data.redis.connection.jedis.JedisConnectionFactory.getConnection(JedisConnectionFactory.java:251)
at org.springframework.data.redis.connection.jedis.JedisConnectionFactory.getConnection(JedisConnectionFactory.java:58)
at org.springframework.data.redis.core.RedisConnectionUtils.doGetConnection(RedisConnectionUtils.java:128)
at org.springframework.data.redis.core.RedisConnectionUtils.getConnection(RedisConnectionUtils.java:91)
at org.springframework.data.redis.core.RedisConnectionUtils.getConnection(RedisConnectionUtils.java:78)
at org.springframework.data.redis.core.RedisTemplate.execute(RedisTemplate.java:178)
at org.springframework.data.redis.core.RedisTemplate.execute(RedisTemplate.java:153)
at org.springframework.data.redis.core.AbstractOperations.execute(AbstractOperations.java:86)
at org.springframework.data.redis.core.DefaultValueOperations.set(DefaultValueOperations.java:182)
at com.mypkg.services.RedisService.saveValueInClusterA(RedisService.java:97)
at com.mypkg.services.RedisService$$FastClassBySpringCGLIB$$aa4c9d31.invoke( )
at org.springframework.cglib.proxy.MethodProxy.invoke(MethodProxy.java:204)
at org.springframework.aop.framework.CglibAopProxy$DynamicAdvisedInterceptor.intercept(CglibAopProxy.java:651)
at com.mypkg.services.RedisService$$EnhancerBySpringCGLIB$$a879b180.saveValueInClusterA( )
at com.mypkg.services.impl.MyImpl.method2(MyImpl.java:745)
at com.mypkg.services.impl.MyImpl.method1(MyImpl.java:419)
at sun.reflect.GeneratedMethodAccessor487.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.springframework.aop.support.AopUtils.invokeJoinpointUsingReflection(AopUtils.java:302)
at org.springframework.aop.framework.ReflectiveMethodInvocation.invokeJoinpoint(ReflectiveMethodInvocation.java:190)
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:157)
at org.springframework.aop.framework.adapter.MethodBeforeAdviceInterceptor.invoke(MethodBeforeAdviceInterceptor.java:52)
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:179)
at org.springframework.aop.aspectj.AspectJAfterThrowingAdvice.invoke(AspectJAfterThrowingAdvice.java:59)
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:179)
at org.springframework.aop.interceptor.ExposeInvocationInterceptor.invoke(ExposeInvocationInterceptor.java:92)
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:179)
at org.springframework.aop.framework.JdkDynamicAopProxy.invoke(JdkDynamicAopProxy.java:208)
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at io.undertow.server.handlers.PredicateHandler.handleRequest(PredicateHandler.java:43)
at io.undertow.server.handlers.PredicateHandler.handleRequest(PredicateHandler.java:43)
at io.undertow.servlet.handlers.ServletInitialHandler.handleFirstRequest(ServletInitialHandler.java:284)
at io.undertow.servlet.handlers.ServletInitialHandler.dispatchRequest(ServletInitialHandler.java:263)
at io.undertow.servlet.handlers.ServletInitialHandler.access$000(ServletInitialHandler.java:81)
at io.undertow.servlet.handlers.ServletInitialHandler$1.handleRequest(ServletInitialHandler.java:174)
at io.undertow.server.Connectors.executeRootHandler(Connectors.java:202)
at io.undertow.server.HttpServerExchange$1.run(HttpServerExchange.java:793)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Locked ownable synchronizers:
- <0x00000004b41253a0> (a java.util.concurrent.ThreadPoolExecutor$Worker)
我将最大池大小设置为128,即使AWS控制台表示任何时候最多只有35个连接到redis群集。这里发生了什么?我的redis配置错了吗?或者我是否需要在每次使用后释放连接?我以为Redis模板在内部处理所有这些。是因为我连接到多个redis集群导致了一些问题吗?
感谢。
答案 0 :(得分:0)
底层连接池是一个阻塞池,可以阻止池耗尽。如果您有足够的并发请求且池大小小于并发请求数,则很容易发生这种情况。
增加池大小以解决问题。
旁注:您可能希望升级Spring Data Redis版本,因为1.6.4已经过时了很长一段时间。此外,切换到Lettuce驱动程序不需要池。您的代码显示的操作不包括阻塞/事务Redis命令,因此您可以使用两个连接(一个连接到第一个Elasticache,第二个连接到第二个Elascticache)。