【问题标题】:Exceptions in Google Cloud Dataflow pipelines from BigQuery to Cloud Bigtable从 BigQuery 到 Cloud Bigtable 的 Google Cloud Dataflow 管道中的异常
【发布时间】:2016-08-23 16:05:06
【问题描述】:

执行 DataFlow 管道时,我们偶尔会看到这些异常。我们能对他们做些什么吗?我们有一个非常简单的流程,它从 BigQuery 查询中读取数据并在 BigTable 中填充数据。

此外,管道内的数据会发生什么情况?是否经过再加工?还是在传输到 BigTable 的过程中丢失了?

 CloudBigtableIO.initializeForWrite(p);
     p.apply(BigQueryIO.Read.fromQuery(getQuery()))
     .apply(ParDo.of(new DoFn<TableRow, Mutation>() {
           public void processElement(ProcessContext c) {
             Mutation output = convertDataToRow(c.element());
             c.output(output);
           }

           }))
         .apply(CloudBigtableIO.writeToTable(config));


private static Mutation convertDataToRow(TableRow element) {
     LOG.info("element: "+ element);
     LOG.info("BASM_segment_id: "+ element.get("BASM_segment_id"));
     if(element.get("BASM_AID") != null){
         Put obj = new Put(getRowKey(element).getBytes()).addColumn(SEGMENT_FAMILY, SEGMENT_COLUMN_NAME, ((String)element.get("BAS_category")).getBytes() );
                obj.addColumn(USER_FAMILY, "AID".getBytes(), ((String)element.get("BASM_AID")).getBytes());
         if(element.get("BASM_segment_id") != null){
                obj.addColumn(SEGMENT_FAMILY, "segment_id".getBytes(), ((String)element.get("BASM_segment_id")).getBytes());
         }
         if(element.get("BAS_sub_category") != null){
                obj.addColumn(SEGMENT_FAMILY, "sub_category".getBytes(), ((String)element.get("BAS_sub_category")).getBytes());
         }
         if(element.get("BAS_name") != null){
                obj.addColumn(SEGMENT_FAMILY, "name".getBytes(), ((String)element.get("BAS_name")).getBytes());
         }
         if(element.get("BAS_description") != null){
                obj.addColumn(SEGMENT_FAMILY, "description".getBytes(), ((String)element.get("BAS_description")).getBytes());
         }
         if(element.get("BAS_last_compute_day") != null){obj.addColumn(USER_FAMILY, "Krux_User_id".getBytes(), ((String)element.get("BASM_krux_user_id")).getBytes());
                obj.addColumn(SEGMENT_FAMILY, "last_compute_day".getBytes(), ((String)element.get("BAS_last_compute_day")).getBytes());
         }
         if(element.get("BAS_type") != null){
                obj.addColumn(SEGMENT_FAMILY, "type".getBytes(), ((String)element.get("BAS_type")).getBytes());
         }      
         if(element.get("BASM_REGID") != null){
                obj.addColumn(USER_FAMILY, "REGID".getBytes(), ((String)element.get("BASM_REGID")).getBytes() );
         }
        return obj;
     }else{
         return null;
     }
    }

以下是我们得到的异常:

2016-08-22T21:47:33.469Z: 错误: (84707221e08b977b): java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeExc 选项:org.apache.hadoop.hbase.client.RetriesExhaustedWithDetailsException:失败 1 次操作:StatusRuntimeException:1 次, 在 com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:162) 在 com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContext.outputWindowedValue(DoFnRunnerBase.java:287) 在 com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnProcessContext.output(DoFnRunnerBase.java:449) 在 com.nytimes.adtech.dataflow.pipelines.BigTableSegmentData$2.processElement(BigTableSegmentData.java:70) 引起:com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.hbase.client.RetriesExhaustedWithDetailsExcept on:失败 1 次操作:StatusRuntimeException:1 次, 在 com.google.cloud.dataflow.sdk.util.UserCodeException.wrap(UserCodeException.java:35) 在 com.google.cloud.dataflow.sdk.util.UserCodeException.wrapIf(UserCodeException.java:40) 在 com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.wrapUserCodeException(DoFnRunnerBase.java:368) 在 com.google.cloud.dataflow.sdk.util.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:51) 在 com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.processElement(DoFnRunnerBase.java:138) 在 com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:190) 在 com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDoFn.processElement(ForwardingParDoFn.java:42) 在 com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerLoggingParDoFn.processElement(DataflowWorkerLoggingParDoFn。 艾娃:47) 在 com.google.cloud.dataflow.sdk.util.common.worker.ParDoOperation.process(ParDoOperation.java:53) 在 com.google.cloud.dataflow.sdk.util.common.worker.OutputReceiver.process(OutputReceiver.java:52) 在 com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:160) 在 com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContext.outputWindowedValue(DoFnRunnerBase.java:287) 在 com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnProcessContext.output(DoFnRunnerBase.java:449) 在 com.nytimes.adtech.dataflow.pipelines.BigTableSegmentData$2.processElement(BigTableSegmentData.java:70) 在 com.google.cloud.dataflow.sdk.util.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:49) 在 com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.processElement(DoFnRunnerBase.java:138) 在 com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:190) 在 com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDoFn.processElement(ForwardingParDoFn.java:42) 在 com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerLoggingParDoFn.processElement(DataflowWorkerLoggingParDoFn。 艾娃:47) 在 com.google.cloud.dataflow.sdk.util.common.worker.ParDoOperation.process(ParDoOperation.java:53) 在 com.google.cloud.dataflow.sdk.util.common.worker.OutputReceiver.process(OutputReceiver.java:52) 在 com.google.cloud.dataflow.sdk.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:226) 在 com.google.cloud.dataflow.sdk.util.common.worker.ReadOperation.start(ReadOperation.java:167) 在 com.google.cloud.dataflow.sdk.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:71) 在 com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.executeWork(DataflowWorker.java:288) 在 com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.doWork(DataflowWorker.java:221) 在 com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.getAndPerformWork(DataflowWorker.java:173) 在 com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.doWork(DataflowWorkerHarness.java:193) 在 com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.call(DataflowWorkerHarness.java:173) 在 com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.call(DataflowWorkerHarness.java:160) 在 java.util.concurrent.FutureTask.run(FutureTask.java:266) 在 java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) 在 java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) 在 java.lang.Thread.run(Thread.java:745)

原因:

org.apache.hadoop.hbase.client.RetriesExhaustedWithDetailsException:失败 1 次操作:StatusRuntimeException:1 次, 在 com.google.cloud.bigtable.hbase.BigtableBufferedMutator.handleExceptions(BigtableBufferedMutator.java:389) 在 com.google.cloud.bigtable.hbase.BigtableBufferedMutator.mutate(BigtableBufferedMutator.java:274) 在 com.google.cloud.bigtable.dataflow.CloudBigtableIO$CloudBigtableSingleTableBufferedWriteFn.processElement(CloudBigtable IO.java:966)

从 Dataflow 控制台复制的异常

(7e75740160102c05): java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.hbase.client.RetriesExhaustedWithDetailsException: Failed 1 action: StatusRuntimeException: 1 time, at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:162) at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContext.outputWindowedValue(DoFnRunnerBase.java:287) at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnProcessContext.output(DoFnRunnerBase.java:449) at com.nytimes.adtech.dataflow.pipelines.BigTableSegmentData$2.processElement(BigTableSegmentData.java:70) Caused by: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.hbase.client.RetriesExhaustedWithDetailsException: Failed 1 action: StatusRuntimeException: 1 time, at com.google.cloud.dataflow.sdk.util.UserCodeException.wrap(UserCodeException.java:35) at com.google.cloud.dataflow.sdk.util.UserCodeException.wrapIf(UserCodeException.java:40) at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.wrapUserCodeException(DoFnRunnerBase.java:368) at com.google.cloud.dataflow.sdk.util.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:51) at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.processElement(DoFnRunnerBase.java:138) at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:190) at com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDoFn.processElement(ForwardingParDoFn.java:42) at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerLoggingParDoFn.processElement(DataflowWorkerLoggingParDoFn.java:47) at com.google.cloud.dataflow.sdk.util.common.worker.ParDoOperation.process(ParDoOperation.java:53) at com.google.cloud.dataflow.sdk.util.common.worker.OutputReceiver.process(OutputReceiver.java:52) at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:160) at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContext.outputWindowedValue(DoFnRunnerBase.java:287) at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnProcessContext.output(DoFnRunnerBase.java:449) at com.nytimes.adtech.dataflow.pipelines.BigTableSegmentData$2.processElement(BigTableSegmentData.java:70) at com.google.cloud.dataflow.sdk.util.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:49) at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.processElement(DoFnRunnerBase.java:138) at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:190) at com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDoFn.processElement(ForwardingParDoFn.java:42) at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerLoggingParDoFn.processElement(DataflowWorkerLoggingParDoFn.java:47) at com.google.cloud.dataflow.sdk.util.common.worker.ParDoOperation.process(ParDoOperation.java:53) at com.google.cloud.dataflow.sdk.util.common.worker.OutputReceiver.process(OutputReceiver.java:52) at com.google.cloud.dataflow.sdk.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:226) at com.google.cloud.dataflow.sdk.util.common.worker.ReadOperation.start(ReadOperation.java:167) at com.google.cloud.dataflow.sdk.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:71) at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.executeWork(DataflowWorker.java:288) at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.doWork(DataflowWorker.java:221) at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.getAndPerformWork(DataflowWorker.java:173) at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.doWork(DataflowWorkerHarness.java:193) at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.call(DataflowWorkerHarness.java:173) at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.call(DataflowWorkerHarness.java:160) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.hadoop.hbase.client.RetriesExhaustedWithDetailsException: Failed 1 action: StatusRuntimeException: 1 time, at com.google.cloud.bigtable.hbase.BigtableBufferedMutator.handleExceptions(BigtableBufferedMutator.java:389) at com.google.cloud.bigtable.hbase.BigtableBufferedMutator.mutate(BigtableBufferedMutator.java:274) at com.google.cloud.bigtable.dataflow.CloudBigtableIO$CloudBigtableSingleTableBufferedWriteFn.processElement(CloudBigtableIO.java:966)

2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: org.apache.hadoop.... 2016-08-23 (13:17:54) java.lang.RuntimeException:

提前致谢

【问题讨论】:

  • 您使用的是什么版本的客户端? 0.9.1?
  • @LesVogel-GoogleDevRel 是的,我们正在为 bigtable-hbase-dataflow 使用 0.9.1 版本
  • 我已经请工程师发表评论 - 应该是今天晚些时候。
  • 您能否在日志中搜索“批量操作期间发生异常”(原文如此)?这应该会提供有关实际问题的更多信息日志。 RetriesExhaustedWithDetailsException 太笼统了。
  • 您可能需要考虑: if (output != null) { c.output(output); };这种类型的异常可能发生在空值中。

标签: google-bigquery google-cloud-dataflow google-cloud-bigtable


【解决方案1】:

我们离线交谈。这里的问题是,与集群中的 Cloud Bigtable 节点数量相比,您的 Dataflow 工作人员过多。您需要通过 reducing Dataflow workers 或联系我们的团队来更改该比率以增加您的 Cloud Bigtable 资源。

相对于您拥有的 Cloud Bigtable 节点数量而言,Bigtable 的表现令人钦佩,但来自 Dataflow 的负载太高而无法可靠处理。

您可以在 Google Cloud 控制台的 "CPU Usage" 图表中查看您的使用情况。任何超过 80% 的容量都可能导致问题。如果您获得更多 Bigtable Quota,您可以在运行 Dataflow 作业之前增加您拥有的节点数,并在作业完成后减少它。例如,Scio does that

==

关于“管道内的数据也会发生什么变化?是否被重新处理?还是在传输到 BigTable 的过程中丢失?”:

Dataflow 尝试再次将数据发送到 Bigtable。在这些情况下,Dataflow 的重试机制将纠正临时问题。

不幸的是,当问题变成 Cloud Bigtable 过载时,重试会向 Bigtable 发送更多流量,从而加剧问题。

【讨论】:

  • 谢谢@Solomon Duskis,我已经减少了工人的数量,现在我看不到之前发生的异常,但很明显,我的工作现在需要更多时间才能完成。
  • 是的。减少工人将做到这一点。我快速浏览了您的图表,看起来您可以再添加几个工人。或者,您可以要求我们增加配额,并在开始数据流之前添加更多 Bigtable 节点,并在完成后减少数量。 Bigtable 节点越多,您可以做的吞吐量就越大,您的工作完成的速度就越快。
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