AWS Glue process records row wise insert update delete












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I have a requirement to do the incremental loading to a table base on some logic




  • If record_id exist on the original table, then update the whole row with the new record

  • If record_id doesn't exist, then insert a new row with a new custom_id as the primary key

  • For some logic need to delete the whole record


Is it possible to do these kinds of row-wise operation in Glue?
Thanks!










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    0















    I have a requirement to do the incremental loading to a table base on some logic




    • If record_id exist on the original table, then update the whole row with the new record

    • If record_id doesn't exist, then insert a new row with a new custom_id as the primary key

    • For some logic need to delete the whole record


    Is it possible to do these kinds of row-wise operation in Glue?
    Thanks!










    share|improve this question

























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      0








      0








      I have a requirement to do the incremental loading to a table base on some logic




      • If record_id exist on the original table, then update the whole row with the new record

      • If record_id doesn't exist, then insert a new row with a new custom_id as the primary key

      • For some logic need to delete the whole record


      Is it possible to do these kinds of row-wise operation in Glue?
      Thanks!










      share|improve this question














      I have a requirement to do the incremental loading to a table base on some logic




      • If record_id exist on the original table, then update the whole row with the new record

      • If record_id doesn't exist, then insert a new row with a new custom_id as the primary key

      • For some logic need to delete the whole record


      Is it possible to do these kinds of row-wise operation in Glue?
      Thanks!







      amazon-web-services pyspark glue






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 15 '18 at 5:36









      Samuel ChanSamuel Chan

      11017




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