No provision to convert Spark DataFrame to AWS Glue DynamicFrame in scala












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There is no equivalent of the below code to convert from Spark DataFrame to Glue DynamicFrame, is it intentional, what is the workaround?



# Convert to a dataframe and partition based on "partition_col"
partitioned_dataframe = datasource0.toDF().repartition(1)

# Convert back to a DynamicFrame for further processing.
partitioned_dynamicframe = DynamicFrame.fromDF(partitioned_dataframe, glueContext, "partitioned_df")









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    0














    There is no equivalent of the below code to convert from Spark DataFrame to Glue DynamicFrame, is it intentional, what is the workaround?



    # Convert to a dataframe and partition based on "partition_col"
    partitioned_dataframe = datasource0.toDF().repartition(1)

    # Convert back to a DynamicFrame for further processing.
    partitioned_dynamicframe = DynamicFrame.fromDF(partitioned_dataframe, glueContext, "partitioned_df")









    share|improve this question

























      0












      0








      0







      There is no equivalent of the below code to convert from Spark DataFrame to Glue DynamicFrame, is it intentional, what is the workaround?



      # Convert to a dataframe and partition based on "partition_col"
      partitioned_dataframe = datasource0.toDF().repartition(1)

      # Convert back to a DynamicFrame for further processing.
      partitioned_dynamicframe = DynamicFrame.fromDF(partitioned_dataframe, glueContext, "partitioned_df")









      share|improve this question













      There is no equivalent of the below code to convert from Spark DataFrame to Glue DynamicFrame, is it intentional, what is the workaround?



      # Convert to a dataframe and partition based on "partition_col"
      partitioned_dataframe = datasource0.toDF().repartition(1)

      # Convert back to a DynamicFrame for further processing.
      partitioned_dynamicframe = DynamicFrame.fromDF(partitioned_dataframe, glueContext, "partitioned_df")






      amazon-web-services apache-spark aws-glue






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      asked Nov 23 '18 at 9:55









      Somasundaram SekarSomasundaram Sekar

      1,35521842




      1,35521842
























          1 Answer
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          1














          Use this:



          # Convert Spark's DataFrame to Glue's DynamicFrame
          val partitioned_dynamicframe = DynamicFrame(partitioned_dataframe, glueContext)





          share|improve this answer





















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            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            1














            Use this:



            # Convert Spark's DataFrame to Glue's DynamicFrame
            val partitioned_dynamicframe = DynamicFrame(partitioned_dataframe, glueContext)





            share|improve this answer


























              1














              Use this:



              # Convert Spark's DataFrame to Glue's DynamicFrame
              val partitioned_dynamicframe = DynamicFrame(partitioned_dataframe, glueContext)





              share|improve this answer
























                1












                1








                1






                Use this:



                # Convert Spark's DataFrame to Glue's DynamicFrame
                val partitioned_dynamicframe = DynamicFrame(partitioned_dataframe, glueContext)





                share|improve this answer












                Use this:



                # Convert Spark's DataFrame to Glue's DynamicFrame
                val partitioned_dynamicframe = DynamicFrame(partitioned_dataframe, glueContext)






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 24 '18 at 3:25









                Yuriy BondarukYuriy Bondaruk

                1,097615




                1,097615






























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