Timeout error: Error with 400 StatusCode: “requirement failed: Session isn't active.”










0















I'm using Zeppelin v0.7.3 notebook to run Pyspark scripts. In one paragraph, I am running script to write data from dataframe to a parquet file in a Blob folder. File is partitioned per country. Number of rows of dataframe is 99,452,829. When the script reaches 1 hour, an error is encountered -




Error with 400 StatusCode: "requirement failed: Session isn't
active.




My default interpreter for the notebook is jdbc. I have read about timeoutlifecyclemanager and added in the interpreter setting zeppelin.interpreter.lifecyclemanager.timeout.threshold and set it to 7200000 but still encountered the error after it reaches 1 hour runtime at 33% processing completion.



I checked the Blob folder after the 1 hr timeout and parquet files were successfully written to Blob which are indeed partitioned per country.



The script I am running to write DF to parquet Blob is below:



trdpn_cntry_fct_denom_df.write.format("parquet").partitionBy("CNTRY_ID").mode("overwrite").save("wasbs://tradepanelpoc@blobasbackupx2066561.blob.core.windows.net/cbls/hdi/trdpn_cntry_fct_denom_df.parquet")


Is this Zeppelin timeout issue? How can it be extended for more than 1 hour runtime? Thanks for the help.










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    0















    I'm using Zeppelin v0.7.3 notebook to run Pyspark scripts. In one paragraph, I am running script to write data from dataframe to a parquet file in a Blob folder. File is partitioned per country. Number of rows of dataframe is 99,452,829. When the script reaches 1 hour, an error is encountered -




    Error with 400 StatusCode: "requirement failed: Session isn't
    active.




    My default interpreter for the notebook is jdbc. I have read about timeoutlifecyclemanager and added in the interpreter setting zeppelin.interpreter.lifecyclemanager.timeout.threshold and set it to 7200000 but still encountered the error after it reaches 1 hour runtime at 33% processing completion.



    I checked the Blob folder after the 1 hr timeout and parquet files were successfully written to Blob which are indeed partitioned per country.



    The script I am running to write DF to parquet Blob is below:



    trdpn_cntry_fct_denom_df.write.format("parquet").partitionBy("CNTRY_ID").mode("overwrite").save("wasbs://tradepanelpoc@blobasbackupx2066561.blob.core.windows.net/cbls/hdi/trdpn_cntry_fct_denom_df.parquet")


    Is this Zeppelin timeout issue? How can it be extended for more than 1 hour runtime? Thanks for the help.










    share|improve this question


























      0












      0








      0








      I'm using Zeppelin v0.7.3 notebook to run Pyspark scripts. In one paragraph, I am running script to write data from dataframe to a parquet file in a Blob folder. File is partitioned per country. Number of rows of dataframe is 99,452,829. When the script reaches 1 hour, an error is encountered -




      Error with 400 StatusCode: "requirement failed: Session isn't
      active.




      My default interpreter for the notebook is jdbc. I have read about timeoutlifecyclemanager and added in the interpreter setting zeppelin.interpreter.lifecyclemanager.timeout.threshold and set it to 7200000 but still encountered the error after it reaches 1 hour runtime at 33% processing completion.



      I checked the Blob folder after the 1 hr timeout and parquet files were successfully written to Blob which are indeed partitioned per country.



      The script I am running to write DF to parquet Blob is below:



      trdpn_cntry_fct_denom_df.write.format("parquet").partitionBy("CNTRY_ID").mode("overwrite").save("wasbs://tradepanelpoc@blobasbackupx2066561.blob.core.windows.net/cbls/hdi/trdpn_cntry_fct_denom_df.parquet")


      Is this Zeppelin timeout issue? How can it be extended for more than 1 hour runtime? Thanks for the help.










      share|improve this question
















      I'm using Zeppelin v0.7.3 notebook to run Pyspark scripts. In one paragraph, I am running script to write data from dataframe to a parquet file in a Blob folder. File is partitioned per country. Number of rows of dataframe is 99,452,829. When the script reaches 1 hour, an error is encountered -




      Error with 400 StatusCode: "requirement failed: Session isn't
      active.




      My default interpreter for the notebook is jdbc. I have read about timeoutlifecyclemanager and added in the interpreter setting zeppelin.interpreter.lifecyclemanager.timeout.threshold and set it to 7200000 but still encountered the error after it reaches 1 hour runtime at 33% processing completion.



      I checked the Blob folder after the 1 hr timeout and parquet files were successfully written to Blob which are indeed partitioned per country.



      The script I am running to write DF to parquet Blob is below:



      trdpn_cntry_fct_denom_df.write.format("parquet").partitionBy("CNTRY_ID").mode("overwrite").save("wasbs://tradepanelpoc@blobasbackupx2066561.blob.core.windows.net/cbls/hdi/trdpn_cntry_fct_denom_df.parquet")


      Is this Zeppelin timeout issue? How can it be extended for more than 1 hour runtime? Thanks for the help.







      python apache-spark apache-zeppelin livy






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      edited Nov 15 '18 at 5:49









      Max Belousov

      18918




      18918










      asked Nov 13 '18 at 7:14









      user10644448user10644448

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          The timeout lifecycle manager is available since version 0.8.



          Seems there is problem with pyspark. Try this solution
          Pyspark socket timeout exception after application running for a while






          share|improve this answer






















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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            The timeout lifecycle manager is available since version 0.8.



            Seems there is problem with pyspark. Try this solution
            Pyspark socket timeout exception after application running for a while






            share|improve this answer



























              0














              The timeout lifecycle manager is available since version 0.8.



              Seems there is problem with pyspark. Try this solution
              Pyspark socket timeout exception after application running for a while






              share|improve this answer

























                0












                0








                0







                The timeout lifecycle manager is available since version 0.8.



                Seems there is problem with pyspark. Try this solution
                Pyspark socket timeout exception after application running for a while






                share|improve this answer













                The timeout lifecycle manager is available since version 0.8.



                Seems there is problem with pyspark. Try this solution
                Pyspark socket timeout exception after application running for a while







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 14 '18 at 18:48









                Max BelousovMax Belousov

                18918




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