Jdbc mysql "select ... for update" and isolation level...

Dear, I am now writing an application, in which some worker threads will get a waiting job from database (mysql) and perform the processing.
To avoid workers getting the same job id, I have studied the topics about locks, isolation level, and something like "select ... for update".
The storage engine being used is innoDB. Actually the problem seems solved after using "select ... for update" to get the id, but I am just curious that do I also need to care about the isolation level. It is because when I do some experiments by setting the isolation level to serializable, but NOT using "SELECT ... FOR UPDATE" (just simple select), exception something like "deadlock found and try to restart transaction" occurs. Is there any relationship between these two things? Any comments are welcome!! Thanks!!!

ashipj wrote:
can u plz provide me with the code (connection string). Am new to Mysql.
And also the driver u are using.
Thank youDon't hijack other's topics. Kindly start your own. Don't do that before you read the [Sun JDBC tutorial|http://java.sun.com/docs/books/tutorial/jdbc/index.html] and the [MySQL JDBC documentation|http://dev.mysql.com/doc/refman/5.0/en/connector-j.html].

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  • "SELECT FOR UPDATE" genrating large redo

    Hi,
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    1. "SELECT FOR UPDATE" itself should modify block to record row level lock information. This can cause redo data. See following:
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  • Should i use SELECT for update NOWAIT ?

    Hi:
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    Fourth, if you are going to do pessimistic locking, that requires that you are able to maintain state across various database calls, that you are locking on the lowest possible level of granularity, and that you are able to time out sessions relatively aggressively to ensure that someone doesn't open a record, thereby locking it, go to lunch (or have their system die) and then block everyone else from working. Assuming that is the case, and that you have some reasonable way to handle the error that gets generated other than simply retrying the operation, adding NOWAIT is certainly an option. Most applications, particularly those getting written today, cannot guarantee all these things, so pessimistic locking is generally not appropriate there.
    Looking at your other thread (where there is new information that would be useful in this discussion, one of the reasons that multiple threads are generally a bad idea), it seems that you have an ERP application and you are concerned about the performance of entering orders. Obviously, there shouldn't be any locking issues on the ORDER or ORDER_DETAILS tables, assuming that multiple users aren't going to be inserting the same order at the same time. The contention would almost certainly come when multiple orders are trying to update the STOCK and INVENTORY tables, since multiple orders presumably rely on the same rows in those tables. In that case, I'm not sure what adding a NOWAIT would buy you-- unless you were going to roll back the entire order because someone is updating the STOCK row for #2 pencils and your order has an item of #2 pencils, you'd have to keep retrying the operation until you were able to modify the STOCK row, which would be less efficient than just letting that update block until the row was free.
    Now, you could certainly redesign the application to minimize that contention by not trying to update what I assume are aggregate tables like STOCK and INVENTORY directly as part of your OLTP processing or, at least, by minimizing the time that you're locking a row. You could, for example, make STOCK and INVENTORY materialized views rather than tables that refresh ON COMMIT, which should decrease the time that your locks are held. You could also have those tables refreshed asynchronously, which would be even more efficient but may require that you reasses your holdback requirements.
    Justin

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