org.springframework.orm.ObjectOptimisticLockingFailureException with microsoft driver and not with jtds driver










0














I am getting ObjectOptimisticLockingFailureException with batch update when I use microsoft sqlserver driver (sqljdbc4.jar). However with the same code, when I switch the driver to Jtds driver, I am able to succesfully do batch update and insert. we are using sql server database and JPA with Hibernate.



Below is what I am doing.



  1. Get the data from the database with status_code as SUBMITTED and
    current flag as Y.


  2. Batch Update the records to current flag N and Batch insert new record with new status BATCH_LOCKED.


  3. Batch update the above records again with current flag N and batch insert new record with status COMPLETED.

All these updates go through fine. When the transaction is committing, I am getting the exception below



I am not specifically defining Optimistic locking and nor have i defined @Version annotation for any column. How does the Optimistic locking happening by default?



If I comment the Step #3, then I do not get the exception.



Why do I not get the exception with JTDS driver?




org.springframework.orm.ObjectOptimisticLockingFailureException: Batch
update returned unexpected row count from update [1]; actual row
count: 0; expected: 1; nested exception is
org.hibernate.StaleStateException: Batch update returned unexpected
row count from update [1]; actual row count: 0; expected: 1











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    0














    I am getting ObjectOptimisticLockingFailureException with batch update when I use microsoft sqlserver driver (sqljdbc4.jar). However with the same code, when I switch the driver to Jtds driver, I am able to succesfully do batch update and insert. we are using sql server database and JPA with Hibernate.



    Below is what I am doing.



    1. Get the data from the database with status_code as SUBMITTED and
      current flag as Y.


    2. Batch Update the records to current flag N and Batch insert new record with new status BATCH_LOCKED.


    3. Batch update the above records again with current flag N and batch insert new record with status COMPLETED.

    All these updates go through fine. When the transaction is committing, I am getting the exception below



    I am not specifically defining Optimistic locking and nor have i defined @Version annotation for any column. How does the Optimistic locking happening by default?



    If I comment the Step #3, then I do not get the exception.



    Why do I not get the exception with JTDS driver?




    org.springframework.orm.ObjectOptimisticLockingFailureException: Batch
    update returned unexpected row count from update [1]; actual row
    count: 0; expected: 1; nested exception is
    org.hibernate.StaleStateException: Batch update returned unexpected
    row count from update [1]; actual row count: 0; expected: 1











    share|improve this question


























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      0







      I am getting ObjectOptimisticLockingFailureException with batch update when I use microsoft sqlserver driver (sqljdbc4.jar). However with the same code, when I switch the driver to Jtds driver, I am able to succesfully do batch update and insert. we are using sql server database and JPA with Hibernate.



      Below is what I am doing.



      1. Get the data from the database with status_code as SUBMITTED and
        current flag as Y.


      2. Batch Update the records to current flag N and Batch insert new record with new status BATCH_LOCKED.


      3. Batch update the above records again with current flag N and batch insert new record with status COMPLETED.

      All these updates go through fine. When the transaction is committing, I am getting the exception below



      I am not specifically defining Optimistic locking and nor have i defined @Version annotation for any column. How does the Optimistic locking happening by default?



      If I comment the Step #3, then I do not get the exception.



      Why do I not get the exception with JTDS driver?




      org.springframework.orm.ObjectOptimisticLockingFailureException: Batch
      update returned unexpected row count from update [1]; actual row
      count: 0; expected: 1; nested exception is
      org.hibernate.StaleStateException: Batch update returned unexpected
      row count from update [1]; actual row count: 0; expected: 1











      share|improve this question















      I am getting ObjectOptimisticLockingFailureException with batch update when I use microsoft sqlserver driver (sqljdbc4.jar). However with the same code, when I switch the driver to Jtds driver, I am able to succesfully do batch update and insert. we are using sql server database and JPA with Hibernate.



      Below is what I am doing.



      1. Get the data from the database with status_code as SUBMITTED and
        current flag as Y.


      2. Batch Update the records to current flag N and Batch insert new record with new status BATCH_LOCKED.


      3. Batch update the above records again with current flag N and batch insert new record with status COMPLETED.

      All these updates go through fine. When the transaction is committing, I am getting the exception below



      I am not specifically defining Optimistic locking and nor have i defined @Version annotation for any column. How does the Optimistic locking happening by default?



      If I comment the Step #3, then I do not get the exception.



      Why do I not get the exception with JTDS driver?




      org.springframework.orm.ObjectOptimisticLockingFailureException: Batch
      update returned unexpected row count from update [1]; actual row
      count: 0; expected: 1; nested exception is
      org.hibernate.StaleStateException: Batch update returned unexpected
      row count from update [1]; actual row count: 0; expected: 1








      java hibernate jtds sqljdbc






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      edited Nov 13 '18 at 6:50









      Aditya Sharma

      4851416




      4851416










      asked Nov 13 '18 at 1:12









      MeghaMegha

      11




      11






















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          In step 3 when you try to update the same entries, the value has been changed in step 1 and 2. So either you need to read the updated data again and then update it.



          The Optimistic Locking Exception prevents lost updates and you shouldn't ignore it. You can simply catch it in a common exception handler and redirect the user to the current workflow starting point, indicating there was a concurrent change that he was not aware of.






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            1 Answer
            1






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            active

            oldest

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            In step 3 when you try to update the same entries, the value has been changed in step 1 and 2. So either you need to read the updated data again and then update it.



            The Optimistic Locking Exception prevents lost updates and you shouldn't ignore it. You can simply catch it in a common exception handler and redirect the user to the current workflow starting point, indicating there was a concurrent change that he was not aware of.






            share|improve this answer

























              0














              In step 3 when you try to update the same entries, the value has been changed in step 1 and 2. So either you need to read the updated data again and then update it.



              The Optimistic Locking Exception prevents lost updates and you shouldn't ignore it. You can simply catch it in a common exception handler and redirect the user to the current workflow starting point, indicating there was a concurrent change that he was not aware of.






              share|improve this answer























                0












                0








                0






                In step 3 when you try to update the same entries, the value has been changed in step 1 and 2. So either you need to read the updated data again and then update it.



                The Optimistic Locking Exception prevents lost updates and you shouldn't ignore it. You can simply catch it in a common exception handler and redirect the user to the current workflow starting point, indicating there was a concurrent change that he was not aware of.






                share|improve this answer












                In step 3 when you try to update the same entries, the value has been changed in step 1 and 2. So either you need to read the updated data again and then update it.



                The Optimistic Locking Exception prevents lost updates and you shouldn't ignore it. You can simply catch it in a common exception handler and redirect the user to the current workflow starting point, indicating there was a concurrent change that he was not aware of.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 13 '18 at 4:26









                Pooja AggarwalPooja Aggarwal

                860111




                860111



























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