exit code is 143 文心快码BaiduComate 解释退出代码143的含义 退出代码143通常表示容器是被外部信号(如操作系统或集群管理器)请求终止的。在Hadoop和Spark等大数据处理框架中,这个错误代码常常与内存不足或资源超限有关。具体来说,当容器使用的内存(包括物理内存和虚拟内存)超过设定的限制时,集群管理器(如YARN)会主动...
步骤1:确定问题的原因 当出现"container killed on request exit code is 143"的错误时,通常是由于资源不足或任务被主动终止导致的。我们可以通过检查相关日志文件来确定错误的具体原因。 步骤2:检查资源配置 在检查资源配置时,我们需要确保集群中的资源足够满足任务的需求。这包括检查: 节点的可用内存和CPU资源 YARN...
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第二方法,改完后要重启spark集群。 改过后,spark-submit不报错,跑完后,出现以下内容说明配置成功 spark driver executor 内存调整 二,调整yarn资源 SparkContext.java.lang.IllegalArgumentException: Required executor memory (1024+384 MB) is above the max threshold (1024 MB) of this cluster! Please check t...
Container killed on request. Exit code is 143 Container exited with a non-zero exit code 143 Failing this attempt 2,java异常错误 2019-04-24 14:42:31 ERROR TransportRequestHandler:293 - Error sending result RpcResponse{requestId=8586978943123146370, body=NioManagedBuffer{buf=java.nio.HeapByteBuffer...
=container_1484048632162_72188_01_000170]isrunningbeyondphysicalmemorylimits.Currentusage: 1.1GBof1GBphysicalmemory...request.Exitcodeis143Containerexited with a non-zeroexitcode1433、修改配置文件 智能推荐 MapReduce On YARN MapReduce计算框架 将计算过程分为两个阶段:Map和Reduce Map阶段并行处理输入数据; Re...
io.netty.handler.codec.EncoderException: java.lang.OutOfMemoryError: Java heap space 上面二个错误,都是因为spark分配的内存不足造成的,解决方法: 在提交命令里添加: --conf spark.driver.memory=10g --conf spark.executor.memory=32g 参考:http://blog.51yip.com/hadoop/2123.html...
原因 内存不足 参考 https://blog.csdn.net/hongxiao2016/article/details/88919606 https://blog.csdn.net/Zsigner/article/details/102500591
script returned exit code 143 Exit code 143 in Linux is typically returned when a process is terminated through a signal or keyboard interrupt. This signal is often sent by the system when a user presses Ctrl-C in the terminal or a similar interrupt signal is encountered. 。 This exit code...
sqoop 导入数据到 hive,报错 Container killed on request. Exit code is 143 报错信息: 19/04/1009:49:01INFOmapreduce.Job:map0%reduce0%19/04/1009:55:06INFOmapreduce.Job:TaskId:attempt_1550821054018_1227_m_000000_0,Status:FAILED[2019-04-1009:55:04.761]Container[pid=56901,containerID=container_...