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2.2. Batching and the Java Transaction API (JTA)

In Red Hat JBoss Data Grid, the batching functionality initiates a JTA transaction in the back end, causing all invocations within the scope to be associated with it. For this purpose, the batching functionality uses a simple Transaction Manager implementation at the back end. As a result, the following behavior is observed:
  1. Locks acquired during an invocation are retained until the transaction commits or rolls back.
  2. All changes are replicated in a batch on all nodes in the cluster as part of the transaction commit process. Ensuring that multiple changes occur within the single transaction, the replication traffic remains lower and improves performance.
  3. When using synchronous replication or invalidation, a replication or invalidation failure causes the transaction to roll back.
  4. When a cache is transactional and a cache loader is present, the cache loader is not enlisted in the cache's transaction. This results in potential inconsistencies at the cache loader level when the transaction applies the in-memory state but (partially) fails to apply the changes to the store.
  5. All configurations related to a transaction apply for batching as well.

Example 2.1. Configuring a Transaction that Applies for Batching

<transaction syncRollbackPhase="false" 
	     syncCommitPhase="false"
	     useEagerLocking="true" 
	     eagerLockSingleNode="true" />
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The configuration attributes can be used for both transactions and batching, using different values.

Note

Batching functionality and JTA transactions are only supported in JBoss Data Grid's Library Mode.
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