come from https://stackoverflow.com/questions/32245498/sparkexception-master-removed-our-application answer: As mentioned in the attempts, the root cause is a timeout between the master node, and one or more workers. Another thing to try: Verify that…

执行java调用scala 打包后的jar时候出现异常 /14 23:57:08 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory 15/04/14 23:57:23 WARN TaskSchedulerImpl: Initial job…

在Spark Standalone中我们所谓的Client,它的任务其实是由AppClient和DriverClient共同完成的.AppClient是一个允许app(Client)和Spark集群通信的中间人,接受master URL.app的信息.一个集群事件的监听器以及事件监听的回调函数,主要和Master交互App相关的信息,DriverClient主要用于和Master交互Driver相关的信息,比如启动.停止及运行状况等,本篇先介绍AppClient. 1.AppClient类主要字…

配置文件都在:/etc/服务名, 看hadoop的classpath |grep conf /etc/hadoop/conf log都在: /var/log/服务名 看scm的log: tail -1000 /var/log/cloudera-scm-server/cloudera-scm-server.log |grep error hive: /opt/cloudera/parcels/CDH-6.2.0-1.cdh6.2.0.p0.967373/lib/hive as HIVE_HOME…

Master.preStart(){ webUi.bind() context.system.scheduler.schedule( millis, WORKER_TIMEOUT millis, self, CheckForWorkerTimeOut) //定时任务检测是否有DEAD WORKER需要移除 case CheckForWorkerTimeOut => { timeOutDeadWorkers() } /** Check for, and remove, any timed-out…

Puppet's Services: The WEBrick Puppet Master Puppet master is the application that compiles configurations for any number of puppet agent nodes, using Puppet code and various other data sources. Puppet has the built-in capability to run a complete pu…

Spark技术内幕:Master基于ZooKeeper的High Availability(HA)源码实现  详细阐述了使用ZK实现的Master的HA,那么Master是如何快速故障恢复的呢? 处于Standby状态的Master在接收到org.apache.spark.deploy.master.ZooKeeperLeaderElectionAgent发送的ElectedLeader消息后,就开始通过ZK中保存的Application,Driver和Worker的元数据信息进行故障恢复了,它…

不多说,直接上干货! 问题详情 电脑8G,目前搭建3节点的spark集群,采用YARN模式. master分配2G,slave1分配1G,slave2分配1G.(在安装虚拟机时) export SPARK_WORKER_MERMORY=1g  (在spark-env.sh) export JAVA_HOME=/usr/local/jdk/jdk1..0_60 (必须写) export SCALA_HOME=/usr/local/scala/scala- (必须写) export HADOOP_H…

不多说,直接上干货! 问题详情 电脑8G,目前搭建3节点的spark集群,采用YARN模式. master分配2G,slave1分配1G,slave2分配1G.(在安装虚拟机时) export SPARK_WORKER_MERMORY=1g  (在spark-env.sh) export JAVA_HOME=/usr/local/jdk/jdk1.8.0_60 (必须写) export SCALA_HOME=/usr/local/scala/scala-2.10.5 (必须写) export H…

当用户应用new SparkContext后,集群就会为在Worker上分配executor,那么这个过程是什么呢?本文以Standalone的Cluster为例,详细的阐述这个过程.序列图如下: 1. SparkContext创建TaskScheduler和DAG Scheduler SparkContext是用户应用和Spark集群的交换的主要接口,用户应用一般首先要创建它.如果你使用SparkShell,你不必自己显式去创建它,系统会自动创建一个名字为sc的SparkContext的实例.…