火花纱：要求的容器太多答案

【问题标题】：spark yarn: Too many containers asked火花纱：要求的容器太多
【发布时间】：2019-06-26 09:49:19
【问题描述】：

我收到以下错误：

2019-02-01 12:01:39 INFO  YarnAllocator:54 - Driver requested a total number of 2007 executor(s).
2019-02-01 12:01:39 INFO  ExecutorAllocationManager:54 - Requesting 968 new executors because tasks are backlogged (new desired total will be 2007)
2019-02-01 12:01:39 INFO  ExecutorAllocationManager:54 - New executor 25 has registered (new total is 26)
2019-02-01 12:01:39 WARN  ApplicationMaster:87 - Reporter thread fails 1 time(s) in a row.
org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Too many containers asked, 1365198
        at org.apache.hadoop.yarn.server.resourcemanager.RMServerUtils.normalizeAndValidateRequests(RMServerUtils.java:128)
        at org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService.allocate(ApplicationMasterService.java:511)
        at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationMasterProtocolPBServiceImpl.allocate(ApplicationMasterProtocolPBServiceImpl.java:60)
        at org.apache.hadoop.yarn.proto.ApplicationMasterProtocol$ApplicationMasterProtocolService$2.callBlockingMethod(ApplicationMasterProtocol.java:99)
        at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
        at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:969)
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2206)
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2202)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1714)
        at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2202)

        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.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
        at org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:101)
        at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.allocate(ApplicationMasterProtocolPBClientImpl.java:79)
        at sun.reflect.GeneratedMethodAccessor36.invoke(Unknown Source)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
        at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
        at com.sun.proxy.$Proxy22.allocate(Unknown Source)
        at org.apache.hadoop.yarn.client.api.impl.AMRMClientImpl.allocate(AMRMClientImpl.java:277)
        at org.apache.spark.deploy.yarn.YarnAllocator.allocateResources(YarnAllocator.scala:268)
        at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:556)

如何调试/修复此问题？谢谢

【问题讨论】：

标签： apache-spark hadoop hive hadoop-yarn hadoop2

【解决方案1】：

请检查动态资源分配是否已启用，

spark.dynamicAllocation.enabled = true

这将尽可能多地使用取决于系统救援的可用性，这可能会导致问题。

另一方面，这种行为可以通过设置来控制

spark.dynamicAllocation.maxExecutors =

请注意，驱动程序还分配了一些容器。您需要管理执行器和驱动程序的内存分配。

【讨论】：