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Rerun Scala code with -deprecation using Apache Zeppelin


General apache zeppelin spark developmentApplication kill of spark on yarn via ZeppelinZeppelin : Error while running notebookZeppelin load full project /external filesApache Zeppelin cannot deserialize dataset: “NoSuchMethodError”Using Apache Spark's Time class/typeMS azure, zeppelin load scala fileApache Zeppelin with Java error: ';' expected but 'class' foundImporting scala packages (no jar) at ZeppelinUse IntelliJ idea's Scala worksheet as a Scala REPL for Apache Spark













4















I am using a Zeppelin notebook to create a Spark script in Scala.



Code:



def test: DataFrame= 

//code




I am getting the following warning:



warning: there was one deprecation warning; re-run with -deprecation for details.


Any suggestions of how to run the function with "-deprecation"?



PS. I'm not asking about the warning which will require the complete code of the function. I'm looking for suggestions on how to rerun the function with the depreciation parameter in a zeppelin notebook. Existing solutions for this question covers only running in SBT.










share|improve this question




























    4















    I am using a Zeppelin notebook to create a Spark script in Scala.



    Code:



    def test: DataFrame= 

    //code




    I am getting the following warning:



    warning: there was one deprecation warning; re-run with -deprecation for details.


    Any suggestions of how to run the function with "-deprecation"?



    PS. I'm not asking about the warning which will require the complete code of the function. I'm looking for suggestions on how to rerun the function with the depreciation parameter in a zeppelin notebook. Existing solutions for this question covers only running in SBT.










    share|improve this question


























      4












      4








      4








      I am using a Zeppelin notebook to create a Spark script in Scala.



      Code:



      def test: DataFrame= 

      //code




      I am getting the following warning:



      warning: there was one deprecation warning; re-run with -deprecation for details.


      Any suggestions of how to run the function with "-deprecation"?



      PS. I'm not asking about the warning which will require the complete code of the function. I'm looking for suggestions on how to rerun the function with the depreciation parameter in a zeppelin notebook. Existing solutions for this question covers only running in SBT.










      share|improve this question
















      I am using a Zeppelin notebook to create a Spark script in Scala.



      Code:



      def test: DataFrame= 

      //code




      I am getting the following warning:



      warning: there was one deprecation warning; re-run with -deprecation for details.


      Any suggestions of how to run the function with "-deprecation"?



      PS. I'm not asking about the warning which will require the complete code of the function. I'm looking for suggestions on how to rerun the function with the depreciation parameter in a zeppelin notebook. Existing solutions for this question covers only running in SBT.







      scala apache-spark apache-zeppelin






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 8 at 4:59









      Shaido

      13k123044




      13k123044










      asked Mar 7 at 22:01









      vikkyvikky

      70721430




      70721430






















          1 Answer
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          1














          In the Spark interpreter settings in Zeppelin there is a "args" property that can be set. This corresponds to Spark commandline arguments which is what to change in this case. More infomration about possible configurations can be found in the documentation here.



          In short, add "-deprecation" as value for the args property and you will be able to see the details.






          share|improve this answer






















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            1 Answer
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            active

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            active

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            In the Spark interpreter settings in Zeppelin there is a "args" property that can be set. This corresponds to Spark commandline arguments which is what to change in this case. More infomration about possible configurations can be found in the documentation here.



            In short, add "-deprecation" as value for the args property and you will be able to see the details.






            share|improve this answer



























              1














              In the Spark interpreter settings in Zeppelin there is a "args" property that can be set. This corresponds to Spark commandline arguments which is what to change in this case. More infomration about possible configurations can be found in the documentation here.



              In short, add "-deprecation" as value for the args property and you will be able to see the details.






              share|improve this answer

























                1












                1








                1







                In the Spark interpreter settings in Zeppelin there is a "args" property that can be set. This corresponds to Spark commandline arguments which is what to change in this case. More infomration about possible configurations can be found in the documentation here.



                In short, add "-deprecation" as value for the args property and you will be able to see the details.






                share|improve this answer













                In the Spark interpreter settings in Zeppelin there is a "args" property that can be set. This corresponds to Spark commandline arguments which is what to change in this case. More infomration about possible configurations can be found in the documentation here.



                In short, add "-deprecation" as value for the args property and you will be able to see the details.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Mar 8 at 3:23









                ShaidoShaido

                13k123044




                13k123044





























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