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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:
- Locks acquired during an invocation are retained until the transaction commits or rolls back.
- 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.
- When using synchronous replication or invalidation, a replication or invalidation failure causes the transaction to roll back.
- If a
CacheLoaderthat is compatible with a JTA resource, for example a JTADataSource, is used for a transaction, the JTA resource can also participate in the transaction. - All configurations related to a transaction apply for batching as well.
An example of a transaction related configuration that can be applied for batching is as follows:
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The configuration attributes can be used for both transactions and batching, using different values.
<transaction syncRollbackPhase="false" syncCommitPhase="false" useEagerLocking="true" eagerLockSingleNode="true" />
<transaction syncRollbackPhase="false"
syncCommitPhase="false"
useEagerLocking="true"
eagerLockSingleNode="true" />
Note
Batching functionality and JTA transactions are only supported in JBoss Data Grid's Library Mode.
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