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

      64




      64





























          active

          oldest

          votes











          Your Answer






          StackExchange.ifUsing("editor", function () {
          StackExchange.using("externalEditor", function () {
          StackExchange.using("snippets", function () {
          StackExchange.snippets.init();
          });
          });
          }, "code-snippets");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "1"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53404044%2fincremental-update-using-spark-sql-with-latest-date%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown






























          active

          oldest

          votes













          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes
















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Stack Overflow!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.





          Some of your past answers have not been well-received, and you're in danger of being blocked from answering.


          Please pay close attention to the following guidance:


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53404044%2fincremental-update-using-spark-sql-with-latest-date%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          Wiesbaden

          Marschland

          Dieringhausen