Spark Web UI Completed Workers No Longer Accessible












0















Running Spark and using the Spark UI, everything is working fine.
After the master is running for a day or two, we start to notice completed worker logs start to turn into text only, no longer a URL to view the App and Driver logs.



The scratch drive for each worker is 250GB, so there is no issue with us running out of space. The log directory is 250GB as well. Both have tons of free space.



Is there a retention value that needs to be set in the default config file that would allow these to exist for a longer period?



For example, we have 4 workers, 3 of the workers the worker URLs are no longer available. Only for the one that is shared with the master. If we restart the master, or kick of a new job, we will see the worker URL in the completed jobs section. Most of these jobs run at 4am, it seems after 2pm or so they start to disappear - meaning the worker URL turns into text and the link is no longer available. Checking the dirs, the app dir stdout still exists, but the driver dir exists, but the stdout doesn't. It's like a janitor process removed the stdout after a period of time.



We were checking thru the docs and noticed a few params that look like they may be related to this.



spark.history.retainedApplications=50 
spark.executor.logs.rolling.*
spark.deploy.retainedApplications=200
spark.deploy.retainedDrivers=200


Would anyone know what causing it or how we can increase the time or totals?
Thanks.










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    0















    Running Spark and using the Spark UI, everything is working fine.
    After the master is running for a day or two, we start to notice completed worker logs start to turn into text only, no longer a URL to view the App and Driver logs.



    The scratch drive for each worker is 250GB, so there is no issue with us running out of space. The log directory is 250GB as well. Both have tons of free space.



    Is there a retention value that needs to be set in the default config file that would allow these to exist for a longer period?



    For example, we have 4 workers, 3 of the workers the worker URLs are no longer available. Only for the one that is shared with the master. If we restart the master, or kick of a new job, we will see the worker URL in the completed jobs section. Most of these jobs run at 4am, it seems after 2pm or so they start to disappear - meaning the worker URL turns into text and the link is no longer available. Checking the dirs, the app dir stdout still exists, but the driver dir exists, but the stdout doesn't. It's like a janitor process removed the stdout after a period of time.



    We were checking thru the docs and noticed a few params that look like they may be related to this.



    spark.history.retainedApplications=50 
    spark.executor.logs.rolling.*
    spark.deploy.retainedApplications=200
    spark.deploy.retainedDrivers=200


    Would anyone know what causing it or how we can increase the time or totals?
    Thanks.










    share|improve this question

























      0












      0








      0








      Running Spark and using the Spark UI, everything is working fine.
      After the master is running for a day or two, we start to notice completed worker logs start to turn into text only, no longer a URL to view the App and Driver logs.



      The scratch drive for each worker is 250GB, so there is no issue with us running out of space. The log directory is 250GB as well. Both have tons of free space.



      Is there a retention value that needs to be set in the default config file that would allow these to exist for a longer period?



      For example, we have 4 workers, 3 of the workers the worker URLs are no longer available. Only for the one that is shared with the master. If we restart the master, or kick of a new job, we will see the worker URL in the completed jobs section. Most of these jobs run at 4am, it seems after 2pm or so they start to disappear - meaning the worker URL turns into text and the link is no longer available. Checking the dirs, the app dir stdout still exists, but the driver dir exists, but the stdout doesn't. It's like a janitor process removed the stdout after a period of time.



      We were checking thru the docs and noticed a few params that look like they may be related to this.



      spark.history.retainedApplications=50 
      spark.executor.logs.rolling.*
      spark.deploy.retainedApplications=200
      spark.deploy.retainedDrivers=200


      Would anyone know what causing it or how we can increase the time or totals?
      Thanks.










      share|improve this question














      Running Spark and using the Spark UI, everything is working fine.
      After the master is running for a day or two, we start to notice completed worker logs start to turn into text only, no longer a URL to view the App and Driver logs.



      The scratch drive for each worker is 250GB, so there is no issue with us running out of space. The log directory is 250GB as well. Both have tons of free space.



      Is there a retention value that needs to be set in the default config file that would allow these to exist for a longer period?



      For example, we have 4 workers, 3 of the workers the worker URLs are no longer available. Only for the one that is shared with the master. If we restart the master, or kick of a new job, we will see the worker URL in the completed jobs section. Most of these jobs run at 4am, it seems after 2pm or so they start to disappear - meaning the worker URL turns into text and the link is no longer available. Checking the dirs, the app dir stdout still exists, but the driver dir exists, but the stdout doesn't. It's like a janitor process removed the stdout after a period of time.



      We were checking thru the docs and noticed a few params that look like they may be related to this.



      spark.history.retainedApplications=50 
      spark.executor.logs.rolling.*
      spark.deploy.retainedApplications=200
      spark.deploy.retainedDrivers=200


      Would anyone know what causing it or how we can increase the time or totals?
      Thanks.







      scala apache-spark hadoop mapreduce






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      asked Nov 21 '18 at 22:43









      RichRich

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