spark on yarn 运行问题记录
问题一:
18/03/15 07:59:23 INFO yarn.Client:
client token: N/A
diagnostics: Application application_1521099425266_0002 failed 2 times due to AM Container for appattempt_1521099425266_0002_000002 exited with exitCode: 1
For more detailed output, check application tracking page:http://spark1:8088/proxy/application_1521099425266_0002/Then, click on links to logs of each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1521099425266_0002_02_000001
Exit code: 1
Stack trace: ExitCodeException exitCode=1:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)
at org.apache.hadoop.util.Shell.run(Shell.java:455)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
此问题一般和内存有关,调大内存
再把虚拟和物理监控线程关闭
<property>
<name>yarn.nodemanager.pmem-check-enabled</name>
<value>false</value>
</property>
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
问题二:
Container exited with a non-zero exit code 1
Failing this attempt. Failing the application.
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: root.kfk
start time: 1521115132862
final status: FAILED
tracking URL: http://spark1:8088/cluster/app/application_1521099425266_0002
user: kfk
Exception in thread "main" org.apache.spark.SparkException: Application application_1521099425266_0002 finished with failed status
at org.apache.spark.deploy.yarn.Client.run(Client.scala:1104)
at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1150)
at org.apache.spark.deploy.yarn.Client.main(Client.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:755)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
18/03/15 07:59:23 INFO util.ShutdownHookManager: Shutdown hook called
18/03/15 07:59:23 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-edf48e42-1bda-41b6-8a1b-7f9e176da728
此问题一般是由于集群配置原因,检查jdk ,yarn 的配置文件
问题三:
diagnostics: Application application_1521099425266_0004 failed 2 times due to Error launching appattempt_1521099425266_0004_000002. Got exception: org.apache.hadoop.yarn.exceptions.YarnException: Unauthorized request to start container.
This token is expired. current time is 1521213771615 found 1521138303131
Note: System times on machines may be out of sync. Check system time and time zones.
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.instantiateException(SerializedExceptionPBImpl.java:168)
at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.deSerialize(SerializedExceptionPBImpl.java:106)
at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.launch(AMLauncher.java:123)
at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.run(AMLauncher.java:254)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
同步集群的时间即可,本人集群其实一直都是时钟同步的,但是不知道为什么第三个节点会突然时钟错乱,jdk版本也错乱了
问题问题四:
Container exited with a non-zero exit code 15
Failing this attempt. Failing the application.
2018-03-16 11:59:29,345 INFO org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: application_1521214648009_0003 State change from FINAL_SAVING to FAILED
2018-03-16 11:59:29,346 WARN org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=kfk OPERATION=Application Finished - Failed TARGET=RMAppManager RESULT=FAILURE DESCRIPTION=App failed with state: FAILED PERMISSIONS=Application application_1521214648009_0003 failed 2 times due to AM Container for appattempt_1521214648009_0003_000002 exited with exitCode: 15
For more detailed output, check application tracking page:http://spark2:8088/proxy/application_1521214648009_0003/Then, click on links to logs of each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1521214648009_0003_02_000001
Exit code: 15
Stack trace: ExitCodeException exitCode=15:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)
at org.apache.hadoop.util.Shell.run(Shell.java:455)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748) Container exited with a non-zero exit code 15
Failing this attempt. Failing the application. APPID=application_1521214648009_0003
2018-03-16 11:59:29,346 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAppManager$ApplicationSummary: appId=application_1521214648009_0003,name=com.spark.test.MyScalaWordCout,user=kfk,queue=root.kfk,state=FAILED,trackingUrl=http://spark2:8088/cluster/app/application_1521214648009_0003,appMasterHost=N/A,startTime=1521215923660,finishTime=1521215968592,finalStatus=FAILED
2018-03-16 11:59:30,164 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler: Null container completed...
2018-03-16 12:00:15,892 INFO org.apache.zookeeper.ClientCnxn: Client session timed out, have not heard from server in 6667ms for sessionid 0x3622d0b65080001, closing socket connection and attempting reconnect
2018-03-16 12:00:15,996 INFO org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore: Watcher event type: None with state:Disconnected for path:null for Service org.apache.hadoop.yarn.server.resourcemanager.recovery.RMStateStore in state org.apache.hadoop.yarn.server.resourcemanager.recovery.RMStateStore: STARTED
2018-03-16 12:00:15,996 INFO org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore: ZKRMStateStore Session disconnected
2018-03-16 12:00:16,123 INFO org.apache.zookeeper.ClientCnxn: Opening socket connection to server spark1/192.168.208.151:2181. Will not attempt to authenticate using SASL (unknown error)
2018-03-16 12:00:17,199 INFO org.apache.zookeeper.ClientCnxn: Client session timed out, have not heard from server in 6670ms for sessionid 0x1622882ae9c0001, closing socket connection and attempting reconnect
2018-03-16 12:00:17,301 INFO org.apache.hadoop.ha.ActiveStandbyElector: Session disconnected. Entering neutral mode...
2018-03-16 12:00:17,838 INFO org.apache.zookeeper.ClientCnxn: Opening socket connection to server spark3/192.168.208.153:2181. Will not attempt to authenticate using SASL (unknown error)
2018-03-16 12:00:18,838 INFO org.apache.zookeeper.ClientCnxn: Socket connection established, initiating session, client: /192.168.208.152:35089, server: spark3/192.168.208.153:2181
2018-03-16 12:00:18,843 INFO org.apache.zookeeper.ClientCnxn: Session establishment complete on server spark3/192.168.208.153:2181, sessionid = 0x1622882ae9c0001, negotiated timeout = 10000
2018-03-16 12:00:18,844 INFO org.apache.hadoop.ha.ActiveStandbyElector: Session connected.
2018-03-16 12:00:18,858 INFO org.apache.hadoop.ha.ActiveStandbyElector: Checking for any old active which needs to be fenced...
2018-03-16 12:00:18,862 INFO org.apache.hadoop.ha.ActiveStandbyElector: Old node exists: 0a0272731203726d32
2018-03-16 12:00:18,862 INFO org.apache.hadoop.ha.ActiveStandbyElector: But old node has our own data, so don't need to fence it.
2018-03-16 12:00:18,862 INFO org.apache.hadoop.ha.ActiveStandbyElector: Writing znode /yarn-leader-election/rs/ActiveBreadCrumb to indicate that the local node is the most recent active...
2018-03-16 12:00:19,127 INFO org.apache.zookeeper.ClientCnxn: Socket connection established, initiating session, client: /192.168.208.152:50168, server: spark1/192.168.208.151:2181
2018-03-16 12:00:21,384 INFO org.apache.zookeeper.ClientCnxn: Session establishment complete on server spark1/192.168.208.151:2181, sessionid = 0x3622d0b65080001, negotiated timeout = 10000
2018-03-16 12:00:21,386 INFO org.apache.hadoop.conf.Configuration: found resource yarn-site.xml at file:/opt/modules/hadoop-2.6.0-cdh5.4.5/etc/hadoop/yarn-site.xml
2018-03-16 12:00:21,387 INFO org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore: Watcher event type: None with state:SyncConnected for path:null for Service org.apache.hadoop.yarn.server.resourcemanager.recovery.RMStateStore in state org.apache.hadoop.yarn.server.resourcemanager.recovery.RMStateStore: STARTED
2018-03-16 12:00:21,387 INFO org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore: ZKRMStateStore Session connected
2018-03-16 12:00:21,387 INFO org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore: ZKRMStateStore Session restored
2018-03-16 12:00:21,406 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=kfk OPERATION=refreshAdminAcls TARGET=AdminService RESULT=SUCCESS
2018-03-16 12:00:21,407 INFO org.apache.hadoop.yarn.server.resourcemanager.ResourceManager: Already in active state
2018-03-16 12:00:21,407 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=kfk OPERATION=refreshQueues TARGET=AdminService RESULT=SUCCESS
2018-03-16 12:00:21,408 INFO org.apache.hadoop.conf.Configuration: found resource yarn-site.xml at file:/opt/modules/hadoop-2.6.0-cdh5.4.5/etc/hadoop/yarn-site.xml
2018-03-16 12:00:21,426 INFO org.apache.hadoop.util.HostsFileReader: Setting the includes file to
2018-03-16 12:00:21,426 INFO org.apache.hadoop.util.HostsFileReader: Setting the excludes file to
2018-03-16 12:00:21,426 INFO org.apache.hadoop.util.HostsFileReader: Refreshing hosts (include/exclude) list
2018-03-16 12:00:21,431 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=kfk OPERATION=refreshNodes TARGET=AdminService RESULT=SUCCESS
2018-03-16 12:00:21,432 INFO org.apache.hadoop.conf.Configuration: found resource core-site.xml at file:/opt/modules/hadoop-2.6.0-cdh5.4.5/etc/hadoop/core-site.xml
2018-03-16 12:00:21,432 INFO org.apache.hadoop.conf.Configuration: found resource yarn-site.xml at file:/opt/modules/hadoop-2.6.0-cdh5.4.5/etc/hadoop/yarn-site.xml
2018-03-16 12:00:21,450 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=kfk OPERATION=refreshSuperUserGroupsConfiguration TARGET=AdminService RESULT=SUCCESS
2018-03-16 12:00:21,450 INFO org.apache.hadoop.conf.Configuration: found resource core-site.xml at file:/opt/modules/hadoop-2.6.0-cdh5.4.5/etc/hadoop/core-site.xml
2018-03-16 12:00:21,451 INFO org.apache.hadoop.security.Groups: clearing userToGroupsMap cache
2018-03-16 12:00:21,451 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=kfk OPERATION=refreshUserToGroupsMappings TARGET=AdminService RESULT=SUCCESS
2018-03-16 12:00:21,451 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=kfk OPERATION=transitionToActive TARGET=RMHAProtocolService RESULT=SUCCESS
这些问题看表面一般看不出来,在yarn的日志里面可以查看具体日志
问题五:
Exception in thread "main" org.apache.spark.SparkException: Application application_1521293577934_0006 finished with failed status
at org.apache.spark.deploy.yarn.Client.run(Client.scala:1104)
at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1150)
at org.apache.spark.deploy.yarn.Client.main(Client.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:755)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
这只是个表面错误,实际错误找到资源调度列表中的错误任务,点击进去发现实际错误
Diagnostics: User class threw exception: org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: hdfs://ns/opt/datas/stu2.txt
spark on yarn 运行问题记录的更多相关文章
- Spark on Yarn运行时加载的jar包
spark on yarn运行时会加载的jar包有如下: spark-submit中指定的--jars $SPARK_HOME/jars下的jar包 yarn提供的jar包 spark-submit通 ...
- Spark on Yarn运行错误:Yarn application has already ended! It might have been killed or unable to launch application master
Spark on Yarn模式运行错误: bin/spark-shell --master yarn --deploy-mode client #报错 查看8088页面上的工作日志 错误原因:在执 ...
- 大话Spark(2)-Spark on Yarn运行模式
Spark On Yarn 有两种运行模式: Yarn - Cluster Yarn - Client 他们的主要区别是: Cluster: Spark的Driver在App Master主进程内运行 ...
- Spark on YARN运行模式(图文详解)
不多说,直接上干货! 请移步 Spark on YARN简介与运行wordcount(master.slave1和slave2)(博主推荐) Spark on YARN模式的安装(spark-1.6. ...
- spark on yarn运行产生jar包冲突问题
1.1 问题描述 Spark Streaming程序解析protobuf序列化的数据时,--jars 来添加依赖的protobuf-java-3.0.0.jar包,使用local模式程序正常,使用ya ...
- Spark On Yarn搭建及各运行模式说明
之前记录Yarn:Hadoop2.0之YARN组件,这次使用Docker搭建Spark On Yarn 一.各运行模式 1.单机模式 该模式被称为Local[N]模式,是用单机的多个线程来模拟Spa ...
- Spark on YARN简介与运行wordcount(master、slave1和slave2)(博主推荐)
前期博客 Spark on YARN模式的安装(spark-1.6.1-bin-hadoop2.6.tgz +hadoop-2.6.0.tar.gz)(master.slave1和slave2)(博主 ...
- 【转载】Spark系列之运行原理和架构
参考 http://www.cnblogs.com/shishanyuan/p/4721326.html 1. Spark运行架构 1.1 术语定义 lApplication:Spark Applic ...
- 六、yarn运行模式
简介 spark的yarn运行模式根据Driver在集群中的位置分成两种: 1)yarn-client 客户端模式 2)yarn-cluster 集群模式 yarn模式和standalone模式不同, ...
随机推荐
- 其实你并不懂如何定义一个 PHP 函数
<?php function divide($dividend, $divisor){ return $dividend / $divisor; } echo divide(12, 4); ec ...
- 27.C++- 智能指针
智能指针 在C++库中最重要的类模板之一 智能指针实际上是将指针封装在一个类里,通过对象来管理指针. STL中的智能指针auto_ptr 头文件: <memory> 生命周期结束时,自动摧 ...
- tornado框架源码分析---Application类之debug参数
先贴上Application这个类的源码. class Application(httputil.HTTPServerConnectionDelegate): """A ...
- vue.js初识(一)
一 什么是vue? Vue (读音 /vjuː/,类似于 view) 是一套用于构建用户界面的渐进式框架.与其它大型框架不同的是,Vue 被设计为可以自底向上逐层应用.Vue 的核心库只关注视图层,不 ...
- EF CodeFirst方式 Fluent Api配置
一.One-to-One Relationship[一对一关系] 两个表之间,只能由一个记录在另外一个表中.每一个主键的值,只能关联到另外一张表的一条或者零条记录.请记住,这个一对一的关系不是非常的普 ...
- MySQL高可用架构之MHA 原理与实践
MHA简介 关于MHA MHA(Master HA)是一款开源的MySQL的高可用程序,它为MySQL主从复制架构提供了automating master failover 功能.MHA在监控到mas ...
- 对于手机APP偷窥个人隐私,你怎么看
经过进两周的持续发酵,Facebook5000万用户数据泄露事件,已让其处在舆论的风尖浪口.对于手机APP泄漏用户个人隐私问题,再次受到人们的关注.对于这个问题,你会怎么看? 隐私,即不愿公开的个人信 ...
- MyBatis(2)——MyBatis 深入学习
编写日志输出环境配置文件 在开发过程中,最重要的就是在控制台查看程序输出的日志信息,在这里我们选择使用 log4j 工具来输出: 准备工作: 将[MyBatis]文件夹下[lib]中的 log4j 开 ...
- [LeetCode] Couples Holding Hands 两两握手
N couples sit in 2N seats arranged in a row and want to hold hands. We want to know the minimum numb ...
- MySQL · 引擎特性 · InnoDB 同步机制
前言 现代操作系统以及硬件基本都支持并发程序,而在并发程序设计中,各个进程或者线程需要对公共变量的访问加以制约,此外,不同的进程或者线程需要协同工作以完成特征的任务,这就需要一套完善的同步机制,在Li ...