spark用yarn提交任务会报ERROR cluster.YarnClientSchedulerBackend: YARN application has exited unexpectedly with state UNDEFINED! Check the YARN application logs for more details.ERROR cluster.YarnClientSchedulerBackend: Diagnostics message: Shutdown hook cal…

Application ID is application_1481285758114_422243, trackingURL: http://***:4040Exception in thread "main" org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: hdfs://mycluster-tj/user/engine_arch/data/mllib/sample_libsvm_d…

无论用YARN cluster和YARN client来跑,均会出现如下问题. [spark@master spark-1.6.1-bin-hadoop2.6]$ jps 2049 NameNode 2706 Jps 2372 ResourceManager 2660 Master 2203 SecondaryNameNode [spark@master spark-1.6.1-bin-hadoop2.6]$ $SPARK_HOME/bin/spark-submit \ > --master y…

spark2.1出来了,想玩玩就搭了个原生的apache集群,但在standalone模式下没有任何问题,基于apache hadoop 2.7.3使用spark on yarn一直报这个错.(Java 8) 报错日志如下: Warning: Master yarn-client is deprecated since 2.0. Please use master "yarn" with specified deploy mode instead. // :: INFO spark.S…

spark 2.1.1 系统中希望监控spark on yarn任务的执行进度,但是监控过程发现提交任务之后执行进度总是10%,直到执行成功或者失败,进度会突然变为100%,很神奇, 下面看spark on yarn任务提交过程: spark on yarn提交任务时会把mainClass修改为Client childMainClass = "org.apache.spark.deploy.yarn.Client" spark-submit过程详见:https://www.cnblog…

用户提交任务到yarn时有可能遇到下面的错误: 1) Requested user anything is not whitelisted and has id 980,which is below the minimum allowed 1000 这是因为yarn中配置min.user.id=1000,yarn认为id小于1000的是超级用户,yarn禁止超级用户提交任务: Each account must have a user ID that is greater than or equ…

Spark集群之yarn提交作业优化案例 作者:尹正杰 版权声明:原创作品,谢绝转载!否则将追究法律责任. 一.启动Hadoop集群 1>.自定义批量管理脚本 [yinzhengjie@s101 ~]$ more `which xzk.sh` #!/bin/bash #@author :yinzhengjie #blog:http://www.cnblogs.com/yinzhengjie #EMAIL:y1053419035@qq.com #判断用户是否传参 ];then echo "无…

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:在执行任务时检测到虚拟机的内存太小,2.2g的虚拟内存实际值,超过了2.1g的上限,不能满足该任务所需的内存要求,于是Yarn就干掉了执行此任务的contrainer. 解决办法: 在yarn-site.xml文件中加入以下两项配置: <property> <name>yarn.nodem…

spark提交作业命令: ./spark-submit --master yarn --deploy-mode cluster --class com.zjlantone.hive.SparkOperatorHiveTest --total-executor-cores 8 --executor-cores 1 --driver-memory 10g --conf spark.driver.maxResultSize=8g --executor-memory 2g /opt/sparkJob/M…

配置好HDFS之后,接下来配置单节点的yarn环境 1,修改配置文件 文件 : /root/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/yarn-site-xml 插入     <property>        <name>yarn.nodemanager.aux-services</name>        <value>mapreduce_shuffle</value>    </property>…