Unable to use a decompressed spark bin with SPARK_EXECUTOR_URI










0















In mesos mode (but applicable to other cluster deployments), I'd like to use a decompressed spark-x.x.x-bin-hadoopx.x folder that exists locally on each worker node to reap 2 benefits:



  • avoid copying spark-x.x.x-bin-hadoopx.x.tar.gz into every pipeline's sandbox (costing 230MB of disk until completed framework is deleted)

  • save a few seconds of decompression time of spark-x.x.x-bin-hadoopx.x.tar.gz on each pipeline's startup

However, it seems that spark does not support this by default. When I tried this by setting export SPARK_EXECUTOR_URI="/opt/spark/spark-2.3.1-bin-hadoop2.7.tar.gz" in my spark-env.sh, I got



cp: omitting directory '/opt/spark/spark-2.3.1-bin-hadoop2.7'
Failed to fetch '/opt/spark/spark-2.3.1-bin-hadoop2.7': Failed to copy with command 'cp '/opt/spark/spark-2.3.1-bin-hadoop2.7' '/tmp/mesos/slaves/b86f2f0b-5ded-4ccb-867c-35c251b1af19-S19/frameworks/b86f2f0b-5ded-4ccb-867c-35c251b1af19-0021/executors/driver-20181114003103-1114/runs/e68942d4-5bdc-443c-a629-0569cfaa8cd6/spark-2.3.1-bin-hadoop2.7'', exit status: 256
Failed to synchronize with agent (it's probably exited)



Is there any way to use a decompressed spark bin?










share|improve this question


























    0















    In mesos mode (but applicable to other cluster deployments), I'd like to use a decompressed spark-x.x.x-bin-hadoopx.x folder that exists locally on each worker node to reap 2 benefits:



    • avoid copying spark-x.x.x-bin-hadoopx.x.tar.gz into every pipeline's sandbox (costing 230MB of disk until completed framework is deleted)

    • save a few seconds of decompression time of spark-x.x.x-bin-hadoopx.x.tar.gz on each pipeline's startup

    However, it seems that spark does not support this by default. When I tried this by setting export SPARK_EXECUTOR_URI="/opt/spark/spark-2.3.1-bin-hadoop2.7.tar.gz" in my spark-env.sh, I got



    cp: omitting directory '/opt/spark/spark-2.3.1-bin-hadoop2.7'
    Failed to fetch '/opt/spark/spark-2.3.1-bin-hadoop2.7': Failed to copy with command 'cp '/opt/spark/spark-2.3.1-bin-hadoop2.7' '/tmp/mesos/slaves/b86f2f0b-5ded-4ccb-867c-35c251b1af19-S19/frameworks/b86f2f0b-5ded-4ccb-867c-35c251b1af19-0021/executors/driver-20181114003103-1114/runs/e68942d4-5bdc-443c-a629-0569cfaa8cd6/spark-2.3.1-bin-hadoop2.7'', exit status: 256
    Failed to synchronize with agent (it's probably exited)



    Is there any way to use a decompressed spark bin?










    share|improve this question
























      0












      0








      0








      In mesos mode (but applicable to other cluster deployments), I'd like to use a decompressed spark-x.x.x-bin-hadoopx.x folder that exists locally on each worker node to reap 2 benefits:



      • avoid copying spark-x.x.x-bin-hadoopx.x.tar.gz into every pipeline's sandbox (costing 230MB of disk until completed framework is deleted)

      • save a few seconds of decompression time of spark-x.x.x-bin-hadoopx.x.tar.gz on each pipeline's startup

      However, it seems that spark does not support this by default. When I tried this by setting export SPARK_EXECUTOR_URI="/opt/spark/spark-2.3.1-bin-hadoop2.7.tar.gz" in my spark-env.sh, I got



      cp: omitting directory '/opt/spark/spark-2.3.1-bin-hadoop2.7'
      Failed to fetch '/opt/spark/spark-2.3.1-bin-hadoop2.7': Failed to copy with command 'cp '/opt/spark/spark-2.3.1-bin-hadoop2.7' '/tmp/mesos/slaves/b86f2f0b-5ded-4ccb-867c-35c251b1af19-S19/frameworks/b86f2f0b-5ded-4ccb-867c-35c251b1af19-0021/executors/driver-20181114003103-1114/runs/e68942d4-5bdc-443c-a629-0569cfaa8cd6/spark-2.3.1-bin-hadoop2.7'', exit status: 256
      Failed to synchronize with agent (it's probably exited)



      Is there any way to use a decompressed spark bin?










      share|improve this question














      In mesos mode (but applicable to other cluster deployments), I'd like to use a decompressed spark-x.x.x-bin-hadoopx.x folder that exists locally on each worker node to reap 2 benefits:



      • avoid copying spark-x.x.x-bin-hadoopx.x.tar.gz into every pipeline's sandbox (costing 230MB of disk until completed framework is deleted)

      • save a few seconds of decompression time of spark-x.x.x-bin-hadoopx.x.tar.gz on each pipeline's startup

      However, it seems that spark does not support this by default. When I tried this by setting export SPARK_EXECUTOR_URI="/opt/spark/spark-2.3.1-bin-hadoop2.7.tar.gz" in my spark-env.sh, I got



      cp: omitting directory '/opt/spark/spark-2.3.1-bin-hadoop2.7'
      Failed to fetch '/opt/spark/spark-2.3.1-bin-hadoop2.7': Failed to copy with command 'cp '/opt/spark/spark-2.3.1-bin-hadoop2.7' '/tmp/mesos/slaves/b86f2f0b-5ded-4ccb-867c-35c251b1af19-S19/frameworks/b86f2f0b-5ded-4ccb-867c-35c251b1af19-0021/executors/driver-20181114003103-1114/runs/e68942d4-5bdc-443c-a629-0569cfaa8cd6/spark-2.3.1-bin-hadoop2.7'', exit status: 256
      Failed to synchronize with agent (it's probably exited)



      Is there any way to use a decompressed spark bin?







      apache-spark






      share|improve this question













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      asked Nov 14 '18 at 1:17









      mwlonmwlon

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