Spark/Scala kernel failing on Jupyter due to Java error












1














I've been using the Spark/Scala kernel on Jupyter (I'm not sure which version/how to check since it's not listed in jupyter kernelspec list).



All of a sudden, it stopped working. Poking around a bit, I've found an error preventing the kernel from initiating:




Exception in thread "main" java.lang.UnsupportedClassVersionError: com/typesafe/config/ConfigMergeable : Unsupported major.minor version 52.0




I've seen several threads trying to address this issue (1, 2, 3, 4), but I don't follow them at all / how to apply suggested solutions to my situation.



It appears there's some sort of version mismatch somewhere inside how the kernel's working, but I don't know how to figure out where the mismatch is / how to fix it. I've looked at the following, but don't see (or know how to diagnose, really) any inconsistency:



printenv | grep "JAVA"
# JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64

java -version
# java version "1.7.0_131"
# OpenJDK Runtime Environment (IcedTea 2.6.9) (7u131-2.6.9-0ubuntu0.14.04.2)
# OpenJDK 64-Bit Server VM (build 24.131-b00, mixed mode)

javac -version
# javac 1.7.0_131


This is being run on a remote machine, so I only have terminal access to diagnose / fix the problem.










share|improve this question



























    1














    I've been using the Spark/Scala kernel on Jupyter (I'm not sure which version/how to check since it's not listed in jupyter kernelspec list).



    All of a sudden, it stopped working. Poking around a bit, I've found an error preventing the kernel from initiating:




    Exception in thread "main" java.lang.UnsupportedClassVersionError: com/typesafe/config/ConfigMergeable : Unsupported major.minor version 52.0




    I've seen several threads trying to address this issue (1, 2, 3, 4), but I don't follow them at all / how to apply suggested solutions to my situation.



    It appears there's some sort of version mismatch somewhere inside how the kernel's working, but I don't know how to figure out where the mismatch is / how to fix it. I've looked at the following, but don't see (or know how to diagnose, really) any inconsistency:



    printenv | grep "JAVA"
    # JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64

    java -version
    # java version "1.7.0_131"
    # OpenJDK Runtime Environment (IcedTea 2.6.9) (7u131-2.6.9-0ubuntu0.14.04.2)
    # OpenJDK 64-Bit Server VM (build 24.131-b00, mixed mode)

    javac -version
    # javac 1.7.0_131


    This is being run on a remote machine, so I only have terminal access to diagnose / fix the problem.










    share|improve this question

























      1












      1








      1







      I've been using the Spark/Scala kernel on Jupyter (I'm not sure which version/how to check since it's not listed in jupyter kernelspec list).



      All of a sudden, it stopped working. Poking around a bit, I've found an error preventing the kernel from initiating:




      Exception in thread "main" java.lang.UnsupportedClassVersionError: com/typesafe/config/ConfigMergeable : Unsupported major.minor version 52.0




      I've seen several threads trying to address this issue (1, 2, 3, 4), but I don't follow them at all / how to apply suggested solutions to my situation.



      It appears there's some sort of version mismatch somewhere inside how the kernel's working, but I don't know how to figure out where the mismatch is / how to fix it. I've looked at the following, but don't see (or know how to diagnose, really) any inconsistency:



      printenv | grep "JAVA"
      # JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64

      java -version
      # java version "1.7.0_131"
      # OpenJDK Runtime Environment (IcedTea 2.6.9) (7u131-2.6.9-0ubuntu0.14.04.2)
      # OpenJDK 64-Bit Server VM (build 24.131-b00, mixed mode)

      javac -version
      # javac 1.7.0_131


      This is being run on a remote machine, so I only have terminal access to diagnose / fix the problem.










      share|improve this question













      I've been using the Spark/Scala kernel on Jupyter (I'm not sure which version/how to check since it's not listed in jupyter kernelspec list).



      All of a sudden, it stopped working. Poking around a bit, I've found an error preventing the kernel from initiating:




      Exception in thread "main" java.lang.UnsupportedClassVersionError: com/typesafe/config/ConfigMergeable : Unsupported major.minor version 52.0




      I've seen several threads trying to address this issue (1, 2, 3, 4), but I don't follow them at all / how to apply suggested solutions to my situation.



      It appears there's some sort of version mismatch somewhere inside how the kernel's working, but I don't know how to figure out where the mismatch is / how to fix it. I've looked at the following, but don't see (or know how to diagnose, really) any inconsistency:



      printenv | grep "JAVA"
      # JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64

      java -version
      # java version "1.7.0_131"
      # OpenJDK Runtime Environment (IcedTea 2.6.9) (7u131-2.6.9-0ubuntu0.14.04.2)
      # OpenJDK 64-Bit Server VM (build 24.131-b00, mixed mode)

      javac -version
      # javac 1.7.0_131


      This is being run on a remote machine, so I only have terminal access to diagnose / fix the problem.







      java scala ubuntu apache-spark jupyter-notebook






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      asked Jul 27 '17 at 22:13









      MichaelChirico

      19.7k859109




      19.7k859109





























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