Handle Critical Session outside code - Java












1















In my project, multiple race condition scenarios are taken care by writing critical section inside the code as there is no locking mechanism available for Blazegraph database. Application is deployed in AWS Fargate(docker).



Disadvantage is that we are not able to scale the application in multiple containers due to synchronized block in the code.



Example:




  1. I have a project with multiple revisions. Only one user should be able to commit at a time. Commit is done by reading latest revision number in the project. Hence code to fetch latest revision number and commit new revision is in a synchronized block.

  2. An object counter is maintained in project in order to generate sequential id for every save request. Hence code to fetch latest object counter and increment is in a synchronized block


Possible options:




  1. maintain queue - too costly as all the requests need to be routed via queue

  2. keep "uuid" as id - business reasons. cannot be changed


Any suggestions are welcome. Thank you so much in advance.










share|improve this question





























    1















    In my project, multiple race condition scenarios are taken care by writing critical section inside the code as there is no locking mechanism available for Blazegraph database. Application is deployed in AWS Fargate(docker).



    Disadvantage is that we are not able to scale the application in multiple containers due to synchronized block in the code.



    Example:




    1. I have a project with multiple revisions. Only one user should be able to commit at a time. Commit is done by reading latest revision number in the project. Hence code to fetch latest revision number and commit new revision is in a synchronized block.

    2. An object counter is maintained in project in order to generate sequential id for every save request. Hence code to fetch latest object counter and increment is in a synchronized block


    Possible options:




    1. maintain queue - too costly as all the requests need to be routed via queue

    2. keep "uuid" as id - business reasons. cannot be changed


    Any suggestions are welcome. Thank you so much in advance.










    share|improve this question



























      1












      1








      1








      In my project, multiple race condition scenarios are taken care by writing critical section inside the code as there is no locking mechanism available for Blazegraph database. Application is deployed in AWS Fargate(docker).



      Disadvantage is that we are not able to scale the application in multiple containers due to synchronized block in the code.



      Example:




      1. I have a project with multiple revisions. Only one user should be able to commit at a time. Commit is done by reading latest revision number in the project. Hence code to fetch latest revision number and commit new revision is in a synchronized block.

      2. An object counter is maintained in project in order to generate sequential id for every save request. Hence code to fetch latest object counter and increment is in a synchronized block


      Possible options:




      1. maintain queue - too costly as all the requests need to be routed via queue

      2. keep "uuid" as id - business reasons. cannot be changed


      Any suggestions are welcome. Thank you so much in advance.










      share|improve this question
















      In my project, multiple race condition scenarios are taken care by writing critical section inside the code as there is no locking mechanism available for Blazegraph database. Application is deployed in AWS Fargate(docker).



      Disadvantage is that we are not able to scale the application in multiple containers due to synchronized block in the code.



      Example:




      1. I have a project with multiple revisions. Only one user should be able to commit at a time. Commit is done by reading latest revision number in the project. Hence code to fetch latest revision number and commit new revision is in a synchronized block.

      2. An object counter is maintained in project in order to generate sequential id for every save request. Hence code to fetch latest object counter and increment is in a synchronized block


      Possible options:




      1. maintain queue - too costly as all the requests need to be routed via queue

      2. keep "uuid" as id - business reasons. cannot be changed


      Any suggestions are welcome. Thank you so much in advance.







      docker java-ee critical-section aws-fargate blazegraph






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 22 '18 at 13:09









      Wolfgang Fahl

      6,65564498




      6,65564498










      asked Oct 30 '18 at 9:52









      LinzLinz

      1098




      1098
























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