incremental update using spark sql with latest date












0














Transaction ID|Amount|Date |COMMENT



1 |200 |14/11/18 |Delivered



2 |300 |14/11/18 |Pending



3 |500 |14/11/18 |Rejected



Transaction ID|Amount|Date |COMMENT



1 |200 |15/11/18 |Delivered



2 |300 |15/11/18 |Pending



4 |500 |15/11/18 |Rejected



the output should be a table which contains the recent data for all transaction ID (ex -for Transaction ID 1 data should be from 15/11/2018 and not the data from 14/11/2018



Transaction ID|Amount|Date |COMMENT



1 |200 |15/11/18 |Delivered



2 |300 |15/11/18 |Pending



3 |500 |14/11/18 |Rejected



4 |500 |15/11/18 |Rejected










share|improve this question





























    0














    Transaction ID|Amount|Date |COMMENT



    1 |200 |14/11/18 |Delivered



    2 |300 |14/11/18 |Pending



    3 |500 |14/11/18 |Rejected



    Transaction ID|Amount|Date |COMMENT



    1 |200 |15/11/18 |Delivered



    2 |300 |15/11/18 |Pending



    4 |500 |15/11/18 |Rejected



    the output should be a table which contains the recent data for all transaction ID (ex -for Transaction ID 1 data should be from 15/11/2018 and not the data from 14/11/2018



    Transaction ID|Amount|Date |COMMENT



    1 |200 |15/11/18 |Delivered



    2 |300 |15/11/18 |Pending



    3 |500 |14/11/18 |Rejected



    4 |500 |15/11/18 |Rejected










    share|improve this question



























      0












      0








      0







      Transaction ID|Amount|Date |COMMENT



      1 |200 |14/11/18 |Delivered



      2 |300 |14/11/18 |Pending



      3 |500 |14/11/18 |Rejected



      Transaction ID|Amount|Date |COMMENT



      1 |200 |15/11/18 |Delivered



      2 |300 |15/11/18 |Pending



      4 |500 |15/11/18 |Rejected



      the output should be a table which contains the recent data for all transaction ID (ex -for Transaction ID 1 data should be from 15/11/2018 and not the data from 14/11/2018



      Transaction ID|Amount|Date |COMMENT



      1 |200 |15/11/18 |Delivered



      2 |300 |15/11/18 |Pending



      3 |500 |14/11/18 |Rejected



      4 |500 |15/11/18 |Rejected










      share|improve this question















      Transaction ID|Amount|Date |COMMENT



      1 |200 |14/11/18 |Delivered



      2 |300 |14/11/18 |Pending



      3 |500 |14/11/18 |Rejected



      Transaction ID|Amount|Date |COMMENT



      1 |200 |15/11/18 |Delivered



      2 |300 |15/11/18 |Pending



      4 |500 |15/11/18 |Rejected



      the output should be a table which contains the recent data for all transaction ID (ex -for Transaction ID 1 data should be from 15/11/2018 and not the data from 14/11/2018



      Transaction ID|Amount|Date |COMMENT



      1 |200 |15/11/18 |Delivered



      2 |300 |15/11/18 |Pending



      3 |500 |14/11/18 |Rejected



      4 |500 |15/11/18 |Rejected







      apache-spark-sql






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 21 at 4:05

























      asked Nov 21 at 1:27









      survya

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