This is a use case in member enrollment via web application/web service. We have a complex algorithm for checking if a member is duplicate, by looking at multiple tables like phone,address etc. The algorithm varies based on member's country. So this restriction cannot be implemented using primary key/unique key constraint.
So we have the checks in Java code. But if there are 2 duplicate concurrent requests, the 2 Java threads see that the member doesn't exist and they both insert the record resulting in duplicates. How can I prevent such duplicate inserts?
I can prevent updates by using row level locks or Hibernate's optimistic concurrency. I can think of table level locks to prevent such inserts, but limits the application performance as it also blocks updates. Another option I think would be to create a lock table with a record with id='memberInsert', and force all inserts via JDBC to obtain a row level lock on this record.
Thanks Suneel