DB transactional applications have standard transactional characteristics: recoverability, atomicity and integrity (this is sometimes also referred to generically as ACID properties). The DB Java Collections API provides these transactional capabilities using a transaction-per-thread model. Once a transaction is begun, it is implicitly associated with the current thread until it is committed or aborted. This model is used for the following reasons.
The transaction-per-thread model is commonly used in other Java APIs such as J2EE.
Since the Java collections API is used for data access, there is no way to pass a transaction object to methods such as Map.put.
The DB Java Collections API provides two transaction APIs. The lower-level API is the CurrentTransaction class. It provides a way to get the transaction for the current thread, and to begin, commit and abort transactions. It also provides access to the Berkeley DB core API Transaction object. With CurrentTransaction, just as in the com.sleepycat.db API, the application is responsible for beginning, committing and aborting transactions, and for handling deadlock exceptions and retrying operations. This API may be needed for some applications, but it is not used in the example.
The example uses the higher-level
TransactionRunner
and
TransactionWorker
APIs, which are build on top of
CurrentTransaction.
TransactionRunner.run()
automatically begins a transaction and
then calls the TransactionWorker.doWork()
method, which is
implemented by the application.
The TransactionRunner.run()
method automatically detects
deadlock exceptions and performs retries by repeatedly calling the
TransactionWorker.doWork()
method until the operation succeeds
or the maximum retry count is reached. If the maximum retry count
is reached or if another exception (other than
DeadlockException)
is thrown by TransactionWorker.doWork()
, then the transaction
will be automatically aborted. Otherwise, the transaction will be
automatically committed.
Using this high-level API, if TransactionRunner.run()
throws an exception, the application can assume that the operation
failed and the transaction was aborted; otherwise, when an
exception is not thrown, the application can assume the operation
succeeded and the transaction was committed.
The Sample.run()
method creates a TransactionRunner
object and calls its run()
method.
import com.sleepycat.collections.TransactionRunner; import com.sleepycat.collections.TransactionWorker;
... public class Sample { private SampleDatabase db; ...private void run() throws Exception { TransactionRunner runner = new TransactionRunner(db.getEnvironment()); runner.run(new PopulateDatabase()); runner.run(new PrintDatabase()); } ... private class PopulateDatabase implements TransactionWorker { public void doWork() throws Exception { } } private class PrintDatabase implements TransactionWorker { public void doWork() throws Exception { } }
}
The run()
method is called by main()
and was outlined
in the previous section. It first creates a
TransactionRunner
, passing the database environment to its
constructor.
It then calls TransactionRunner.run()
to execute two
transactions, passing instances of the application-defined
PopulateDatabase
and
PrintDatabase
nested classes.
These classes implement the TransactionWorker.doWork()
method
and will be fully described in the next two sections.
For each call to TransactionRunner.run()
, a separate
transaction will be performed. The use of two transactions in the
example — one for populating the database and another for printing
its contents — is arbitrary. A real-life application should be
designed to create transactions for each group of operations that
should have ACID properties, while also
taking into account the impact of transactions on performance.
The advantage of using TransactionRunner
is that deadlock
retries and transaction begin, commit and abort are handled
automatically. However, a TransactionWorker
class must be
implemented for each type of transaction. If desired, anonymous
inner classes can be used to implement the TransactionWorker
interface.