数据流僵尸作业-卡在“未启动"状态状态 [英] Dataflow zombie jobs - stuck in "Not Started" state

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本文介绍了数据流僵尸作业-卡在“未启动"状态状态的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我们所有的数据流作业都突然停止工作.他们现在只显示未开始".

All of our Dataflow jobs have suddenly stopped working. They now just show "Not started".

当我们开始一项工作时,它实际上似乎催生了许多其他工作,而这些工作都只是挂了.

When we kicked off one job it actually appears to have spawned numerous other jobs, which are all just hanging.

服务中断了吗?

作业ID的列表:

  1. 2015-05-12_04_15_09-9449594780471772631
  2. 2015-05-12_04_11_43-2832089474782567234
  3. 2015-05-12_04_11_10-7703117482304158158028
  4. 2015-05-12_04_06_52-8133922783285731870
  5. 2015-05-12_04_06_09-14187812688860505584
  6. 2015-05-12_04_05_32-10296794562342944944020
  7. 2015-05-12_04_04_58-17815218306022481742
  8. 2015-05-12_04_04_26-19482024171390120120
  9. 2015-05-12_04_03_55-5718237782405405777885
  10. 2015-05-12_04_03_23-8040675812721773773662
  1. 2015-05-12_04_15_09-9449594780471772631
  2. 2015-05-12_04_11_43-2832089474782567234
  3. 2015-05-12_04_11_10-7703117482304158028
  4. 2015-05-12_04_06_52-8133922783285731870
  5. 2015-05-12_04_06_09-14187812688860505584
  6. 2015-05-12_04_05_32-10296794562342944020
  7. 2015-05-12_04_04_58-17815218306022481742
  8. 2015-05-12_04_04_26-1948202417139012084
  9. 2015-05-12_04_03_55-5718237782405777885
  10. 2015-05-12_04_03_23-8040675812721773662

44227 [main] INFO  com.google.cloud.dataflow.sdk.util.PackageUtil  - Uploading PipelineOptions.filesToStage complete: 1 files newly uploaded, 77 files cached
Dataflow SDK version: 0.4.150414
446168 [main] WARN  com.google.cloud.dataflow.sdk.util.RetryHttpRequestInitializer  - Request failed with code 429, will NOT retry: https://dataflow.googleapis.com/v1b3/projects/gdfp-xxx/jobs
Disconnected from the target VM, address: '127.0.0.1:54217', transport: 'socket'
446171 [main] ERROR com.tls.cdf.dfp.DFPDenormalizationCloudDataFlowJob  - Exception encountered while trying to execute "DFP Denormalization Job"
java.lang.RuntimeException: Failed to create a workflow job: (40153232ba863405): The workflow could not be created. Please try again in a few minutes. If you are still unable to create a job please contact customer support. Causes: (40153232ba8632a6): Your job could not be created. Please try again in a few minutes. If the service still isn't working please contact customer support. Causes: Internal Issue (7a518e51908b45c2): 64605561:22202 Causes: (33edae1682908f81): Too many running jobs. Project gdfp-xxxx is running 10 workflows and project limit for active workflows is 10. To fix this, cancel an existing workflow via the UI, wait for a workflow to finish or contact dataflow-feedback@google.com to request an increase in quota.
    at com.google.cloud.dataflow.sdk.runners.DataflowPipelineRunner.run(DataflowPipelineRunner.java:221)
    at com.google.cloud.dataflow.sdk.runners.BlockingDataflowPipelineRunner.run(BlockingDataflowPipelineRunner.java:81)
    at com.google.cloud.dataflow.sdk.runners.BlockingDataflowPipelineRunner.run(BlockingDataflowPipelineRunner.java:47)
    at com.google.cloud.dataflow.sdk.Pipeline.run(Pipeline.java:145)
    at com.tls.cdf.job.AbstractCloudDataFlowJob.execute(AbstractCloudDataFlowJob.java:100)
    at com.tls.cdf.CloudDataFlowJobExecutor.main(CloudDataFlowJobExecutor.java:44)
Caused by: com.google.api.client.googleapis.json.GoogleJsonResponseException: 429 Too Many Requests
{
  "code" : 429,
  "errors" : [ {
    "domain" : "global",
    "message" : "(40153232ba863405): The workflow could not be created. Please try again in a few minutes. If you are still unable to create a job please contact customer support. Causes: (40153232ba8632a6): Your job could not be created. Please try again in a few minutes. If the service still isn't working please contact customer support. Causes: Internal Issue (7a518e51908b45c2): 64605561:22202 Causes: (33edae1682908f81): Too many running jobs. Project gdfp-xxxx is running 10 workflows and project limit for active workflows is 10. To fix this, cancel an existing workflow via the UI, wait for a workflow to finish or contact dataflow-feedback@google.com to request an increase in quota.",
    "reason" : "rateLimitExceeded"
  } ],
  "message" : "(40153232ba863405): The workflow could not be created. Please try again in a few minutes. If you are still unable to create a job please contact customer support. Causes: (40153232ba8632a6): Your job could not be created. Please try again in a few minutes. If the service still isn't working please contact customer support. Causes: Internal Issue (7a518e51908b45c2): 64605561:22202 Causes: (33edae1682908f81): Too many running jobs. Project gdfp-xxxx is running 10 workflows and project limit for active workflows is 10. To fix this, cancel an existing workflow via the UI, wait for a workflow to finish or contact dataflow-feedback@google.com to request an increase in quota.",
  "status" : "RESOURCE_EXHAUSTED"
}
    at com.google.api.client.googleapis.json.GoogleJsonResponseException.from(GoogleJsonResponseException.java:145)
    at com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:113)
    at com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:40)
    at com.google.api.client.googleapis.services.AbstractGoogleClientRequest$1.interceptResponse(AbstractGoogleClientRequest.java:321)
    at com.google.api.client.http.HttpRequest.execute(HttpRequest.java:1056)
    at com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:419)
    at com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:352)
    at com.google.api.client.googleapis.services.AbstractGoogleClientRequest.execute(AbstractGoogleClientRequest.java:469)
    at com.google.cloud.dataflow.sdk.runners.DataflowPipelineRunner.run(DataflowPipelineRunner.java:217)
    ... 5 more

推荐答案

它再次正常工作.似乎是Dataflow服务本身存在问题.

It's working once again. Seems to have been a problem with the Dataflow service itself.

这篇关于数据流僵尸作业-卡在“未启动"状态状态的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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