Java – What are synchronizing strategies for Prevayler

concurrencyjavapersistenceprevaylersynchronization

Prevayler guarantees that all the writes ( through its transactions) are synchronized. But what about reads?

Is it right that dirty reads are possible if no explicit synchronizing is used (in user code)?

Are they possible if a business object is read as:

// get the 3rd account
Accont account = (Bank)prevayler.prevalentSystem().getAccounts().get(2);

?

If so what synchronizing strategies are good for a user code?

(Consider a business object A contains a collection of business objects Bs),

  • using a synchronized collection (of Bs inside of A), for example
    from java.util.concurrent package?
  • synchronize collection reads outside transactions with the
    collection writes inside transactions, for example using
    "synchronized( collection )" code around reads and writes?

Best Solution

The recommended way is to use JMatch Query and Prevayler.execute(Query). Either directly or by using subclassing.

The returned results must be either primitive values or immutable objects. If you plan to return mutable objects you should subclass JMatch Query to do these deep copies. This way you get a system that locks every sensible read with other (sensible) reads and writes. This can speed up and simplify development, especially for developers without multithreaded programming expirience.

If you need more performance under high concurrent load, which is supposed to be a rare case, you indeed can use described above fine grained locking - using "synchronized" and java.util.concurrent.

See this discussion for more details.