在采用 起初是这么配置spark日志输出到kafka的: log4j.rootCategory=INFO, console, kafka log4j.appender.console=org.apache.log4j.ConsoleAppender log4j.appender.console.target=System.err log4j.appender.console.layout=org.apache.log4j.PatternLayout log4j.appender.console.layout.ConversionPattern=%d{yyyy/MM/dd HH:mm:ss.SSS} %p %c{1}: [${log4j.pipelineId}] %m%n # Kafka appender log4j.appender.kafka=org.apache.kafka.log4jappender.KafkaLog4jAppender # Set Kafka topic and brokerList log4j.appender.kafka.topic=yarn_spark_log log4j.appender.kafka.brokerList=localhost:9092 log4j.appender.kafka.compressionType=none log4j.appender.kafka.syncSend=false log4j.appender.kafka.maxBlockMs=10 log4j.appender.kafka.layout=org.apache.log4j.PatternLayout log4j.appender.kafka.layout.ConversionPattern=%d{yyyy/MM/dd HH:mm:ss.SSS} %p %c{1}: [${log4j.pipelineId}] %m 这里用 问题定位 发现问题后,尝试将输出到kafka的规则去掉,问题解除!于是把问题定位到跟日志输出到kafka有关。通过其他测试,证实目标kafka其实是正常的,这就非常奇怪了。 查看yarn的ResourceManager日志,发现有如下超时
表明,yarn本身是接收任务的,但是发现任务迟迟没有启动。在spark的场景下其实是指只有driver启动了,但是没有启动executor。
卡住的情况下,只会打出 在kafka-client 2.2.0版本中找到这个日志是输出位置: public synchronized void update(MetadataResponse metadataResponse, long now) { ... String newClusterId = cache.cluster().clusterResource().clusterId(); if (!Objects.equals(previousClusterId, newClusterId)) { log.info("Cluster ID: {}", newClusterId); } ... } 看到 在yarn上运行spark任务的时候,driver进程叫ApplicationMaster,executor进程叫CoarseGrainedExecutorBackend。这里首先尝试再复现过程中找到drvier最终在哪个节点上运行,然后快速使用jstack -F <pid>打印堆栈 jstack果然不负众望,报告了死锁!这里我把结果贴的全一点 [root@node1 ~]# jstack 20136 20136: Unable to open socket file: target process not responding or HotSpot VM not loaded The -F option can be used when the target process is not responding [root@node1 ~]# jstack -F 20136 Attaching to process ID 20136, please wait... Debugger attached successfully. Server compiler detected. JVM version is 25.231-b11 Deadlock Detection: Found one Java-level deadlock: ============================= "kafka-producer-network-thread | producer-1": waiting to lock Monitor@0x00000000025fcc48 (Object@0x00000000ed680b60, a org/apache/kafka/log4jappender/KafkaLog4jAppender), which is held by "main" "main": waiting to lock Monitor@0x00007fec9dbde038 (Object@0x00000000ee44de38, a org/apache/kafka/clients/Metadata), which is held by "kafka-producer-network-thread | producer-1" Found a total of 1 deadlock. Thread 20157: (state = BLOCKED) - org.apache.log4j.AppenderSkeleton.doAppend(org.apache.log4j.spi.LoggingEvent) @bci=0, line=231 (Interpreted frame) - org.apache.log4j.helpers.AppenderAttachableImpl.appendLoopOnAppenders(org.apache.log4j.spi.LoggingEvent) @bci=41, line=66 (Interpreted frame) - org.apache.log4j.Category.callAppenders(org.apache.log4j.spi.LoggingEvent) @bci=26, line=206 (Interpreted frame) - org.apache.log4j.Category.forcedLog(java.lang.String, org.apache.log4j.Priority, java.lang.Object, java.lang.Throwable) @bci=14, line=391 (Interpreted frame) - org.apache.log4j.Category.log(java.lang.String, org.apache.log4j.Priority, java.lang.Object, java.lang.Throwable) @bci=34, line=856 (Interpreted frame) - org.slf4j.impl.Log4jLoggerAdapter.info(java.lang.String, java.lang.Object) @bci=34, line=324 (Interpreted frame) - org.apache.kafka.clients.Metadata.update(org.apache.kafka.common.requests.MetadataResponse, long) @bci=317, line=365 (Interpreted frame) - org.apache.kafka.clients.NetworkClient$DefaultMetadataUpdater.handleCompletedMetadataResponse(org.apache.kafka.common.requests.RequestHeader, long, org.apache.kafka.common.requests.MetadataResponse) @bci=184, line=1031 (Interpreted frame) - org.apache.kafka.clients.NetworkClient.handleCompletedReceives(java.util.List, long) @bci=215, line=822 (Interpreted frame) - org.apache.kafka.clients.NetworkClient.poll(long, long) @bci=132, line=544 (Interpreted frame) - org.apache.kafka.clients.producer.internals.Sender.run(long) @bci=227, line=311 (Interpreted frame) - org.apache.kafka.clients.producer.internals.Sender.run() @bci=28, line=235 (Interpreted frame) - java.lang.Thread.run() @bci=11, line=748 (Interpreted frame) Thread 20150: (state = BLOCKED) Thread 20149: (state = BLOCKED) - java.lang.Object.wait(long) @bci=0 (Interpreted frame) - java.lang.ref.ReferenceQueue.remove(long) @bci=59, line=144 (Interpreted frame) - java.lang.ref.ReferenceQueue.remove() @bci=2, line=165 (Interpreted frame) - java.lang.ref.Finalizer$FinalizerThread.run() @bci=36, line=216 (Interpreted frame) Thread 20148: (state = BLOCKED) - java.lang.Object.wait(long) @bci=0 (Interpreted frame) - java.lang.Object.wait() @bci=2, line=502 (Interpreted frame) - java.lang.ref.Reference.tryHandlePending(boolean) @bci=54, line=191 (Interpreted frame) - java.lang.ref.Reference$ReferenceHandler.run() @bci=1, line=153 (Interpreted frame) Thread 20137: (state = BLOCKED) - java.lang.Object.wait(long) @bci=0 (Interpreted frame) - org.apache.kafka.clients.Metadata.awaitUpdate(int, long) @bci=63, line=261 (Interpreted frame) - org.apache.kafka.clients.producer.KafkaProducer.waitOnMetadata(java.lang.String, java.lang.Integer, long) @bci=160, line=983 (Interpreted frame) - org.apache.kafka.clients.producer.KafkaProducer.doSend(org.apache.kafka.clients.producer.ProducerRecord, org.apache.kafka.clients.producer.Callback) @bci=19, line=860 (Interpreted frame) - org.apache.kafka.clients.producer.KafkaProducer.send(org.apache.kafka.clients.producer.ProducerRecord, org.apache.kafka.clients.producer.Callback) @bci=12, line=840 (Interpreted frame) - org.apache.kafka.clients.producer.KafkaProducer.send(org.apache.kafka.clients.producer.ProducerRecord) @bci=3, line=727 (Interpreted frame) - org.apache.kafka.log4jappender.KafkaLog4jAppender.append(org.apache.log4j.spi.LoggingEvent) @bci=69, line=283 (Interpreted frame) - org.apache.log4j.AppenderSkeleton.doAppend(org.apache.log4j.spi.LoggingEvent) @bci=106, line=251 (Interpreted frame) - org.apache.log4j.helpers.AppenderAttachableImpl.appendLoopOnAppenders(org.apache.log4j.spi.LoggingEvent) @bci=41, line=66 (Interpreted frame) - org.apache.log4j.Category.callAppenders(org.apache.log4j.spi.LoggingEvent) @bci=26, line=206 (Interpreted frame) - org.apache.log4j.Category.forcedLog(java.lang.String, org.apache.log4j.Priority, java.lang.Object, java.lang.Throwable) @bci=14, line=391 (Interpreted frame) - org.apache.log4j.Category.log(java.lang.String, org.apache.log4j.Priority, java.lang.Object, java.lang.Throwable) @bci=34, line=856 (Interpreted frame) - org.slf4j.impl.Log4jLoggerAdapter.info(java.lang.String) @bci=12, line=305 (Interpreted frame) - org.apache.spark.internal.Logging$class.logInfo(org.apache.spark.internal.Logging, scala.Function0) @bci=29, line=54 (Interpreted frame) - org.apache.spark.SecurityManager.logInfo(scala.Function0) @bci=2, line=44 (Interpreted frame) - org.apache.spark.SecurityManager.setViewAcls(scala.collection.immutable.Set, java.lang.String) @bci=36, line=139 (Interpreted frame) - org.apache.spark.SecurityManager.<init>(org.apache.spark.SparkConf, scala.Option) @bci=158, line=81 (Interpreted frame) - org.apache.spark.deploy.yarn.ApplicationMaster.<init>(org.apache.spark.deploy.yarn.ApplicationMasterArguments) @bci=85, line=70 (Interpreted frame) - org.apache.spark.deploy.yarn.ApplicationMaster$.main(java.lang.String[]) @bci=25, line=802 (Interpreted frame) - org.apache.spark.deploy.yarn.ApplicationMaster.main(java.lang.String[]) @bci=4 (Interpreted frame) 到这里,已经确定是死锁,导致driver一开始就运行停滞,那么当然无法提交executor执行。 根因分析 从stack的结果看,造成死锁的是如下两个线程:
两个线程其实都是卡在打日志上了,观察堆栈可以发现,两个线程同时持有了同一个log对象。而这个log对象实际上是kafka-appender。而kafka-appender本质上持有kafka-client,及其内部的Metadata对象。log4j的doAppend为了保证线程安全也用 public synchronized void doAppend(LoggingEvent event) { if(closed) { LogLog.error("Attempted to append to closed appender named ["+name+"]."); return; } if(!isAsSevereAsThreshold(event.level)) { return; } Filter f = this.headFilter; FILTER_LOOP: while(f != null) { switch(f.decide(event)) { case Filter.DENY: return; case Filter.ACCEPT: break FILTER_LOOP; case Filter.NEUTRAL: f = f.next; } } this.append(event); } 于是事情开始了:
上图main-thread持有了log对象锁,要求获取metadata对象锁;kafka-producer-network-thread持有了metadata对象锁,要求获取log对象锁于是造成了死锁。 总结 到此这篇关于spark通过kafka-appender指定日志输出到kafka引发的死锁的文章就介绍到这了,更多相关spark指定日志输出内容请搜索极客世界以前的文章或继续浏览下面的相关文章希望大家以后多多支持极客世界! |
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