How to remove error records from a Dynamic dataframe in AWS glue?











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I have a dynamic dataframe which contains error records.Please find the code below.



val rawDataFrame = glueContext.getCatalogSource(database = rawDBName, tableName = rawTBLName).getDynamicFrame();

    println(s"RAW_DF-----count: ${rawDataFrame.count} errors: ${rawDataFrame.errorsCount}")


The above print statement prints as below.



RAW_DF-----count: 168456 errors: 4


I need to create a dynamic data frame which contains only 168456 records and I need to eliminate 4 error records.Kindly help.






amazon-web-services apache-spark hadoop aws-glue aws-glue-data-catalog







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    up vote
    0
    down vote

    favorite












    I have a dynamic dataframe which contains error records.Please find the code below.



    val rawDataFrame = glueContext.getCatalogSource(database = rawDBName, tableName = rawTBLName).getDynamicFrame();
    
    println(s"RAW_DF-----count: ${rawDataFrame.count} errors: ${rawDataFrame.errorsCount}")


    The above print statement prints as below.



    RAW_DF-----count: 168456 errors: 4


    I need to create a dynamic data frame which contains only 168456 records and I need to eliminate 4 error records.Kindly help.






    amazon-web-services apache-spark hadoop aws-glue aws-glue-data-catalog







    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I have a dynamic dataframe which contains error records.Please find the code below.



      val rawDataFrame = glueContext.getCatalogSource(database = rawDBName, tableName = rawTBLName).getDynamicFrame();
      
    println(s"RAW_DF-----count: ${rawDataFrame.count} errors: ${rawDataFrame.errorsCount}")


      The above print statement prints as below.



      RAW_DF-----count: 168456 errors: 4


      I need to create a dynamic data frame which contains only 168456 records and I need to eliminate 4 error records.Kindly help.






      amazon-web-services apache-spark hadoop aws-glue aws-glue-data-catalog







      share|improve this question













      I have a dynamic dataframe which contains error records.Please find the code below.



      val rawDataFrame = glueContext.getCatalogSource(database = rawDBName, tableName = rawTBLName).getDynamicFrame();
      
    println(s"RAW_DF-----count: ${rawDataFrame.count} errors: ${rawDataFrame.errorsCount}")


      The above print statement prints as below.



      RAW_DF-----count: 168456 errors: 4


      I need to create a dynamic data frame which contains only 168456 records and I need to eliminate 4 error records.Kindly help.






      amazon-web-services apache-spark hadoop aws-glue aws-glue-data-catalog




      amazon-web-services apache-spark hadoop aws-glue aws-glue-data-catalog






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      asked Nov 19 at 11:34









      RanjanPradhan

      14116




      14116
























          1 Answer
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          Error records are not converting to Spark's DataFrame so try to transform your DynamicFrame to df and back:



          val noErrorsDyf = DynamicFrame(rawDataFrame.toDF(), glueContext)





          share|improve this answer





















          • Thank You Yuriy... It really helped me a lot.
            – RanjanPradhan
            2 days ago











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          1 Answer
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          active

          oldest

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          0
          down vote



          accepted










          Error records are not converting to Spark's DataFrame so try to transform your DynamicFrame to df and back:



          val noErrorsDyf = DynamicFrame(rawDataFrame.toDF(), glueContext)





          share|improve this answer





















          • Thank You Yuriy... It really helped me a lot.
            – RanjanPradhan
            2 days ago















          up vote
          0
          down vote



          accepted










          Error records are not converting to Spark's DataFrame so try to transform your DynamicFrame to df and back:



          val noErrorsDyf = DynamicFrame(rawDataFrame.toDF(), glueContext)





          share|improve this answer





















          • Thank You Yuriy... It really helped me a lot.
            – RanjanPradhan
            2 days ago













          up vote
          0
          down vote



          accepted







          up vote
          0
          down vote



          accepted






          Error records are not converting to Spark's DataFrame so try to transform your DynamicFrame to df and back:



          val noErrorsDyf = DynamicFrame(rawDataFrame.toDF(), glueContext)





          share|improve this answer












          Error records are not converting to Spark's DataFrame so try to transform your DynamicFrame to df and back:



          val noErrorsDyf = DynamicFrame(rawDataFrame.toDF(), glueContext)






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered 2 days ago









          Yuriy Bondaruk

          910514




          910514












          • Thank You Yuriy... It really helped me a lot.
            – RanjanPradhan
            2 days ago


















          • Thank You Yuriy... It really helped me a lot.
            – RanjanPradhan
            2 days ago
















          Thank You Yuriy... It really helped me a lot.
          – RanjanPradhan
          2 days ago




          Thank You Yuriy... It really helped me a lot.
          – RanjanPradhan
          2 days ago


















           

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