object CassandraFlow
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- CassandraFlow.scala
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def
createUnloggedBatchWithPassThrough[T, K](parallelism: Int, statement: PreparedStatement, statementBinder: BiFunction[T, PreparedStatement, BoundStatement], partitionKey: Function[T, K], settings: CassandraBatchSettings, session: Session): Flow[T, T, NotUsed]
Creates a flow that batches using an unlogged batch.
Creates a flow that batches using an unlogged batch. Use this when most of the elements in the stream share the same partition key. Cassandra unlogged batches that share the same partition key will only resolve to one write internally in Cassandra, boosting write performance.
Be aware that this stage does not preserve the upstream order.
- def createWithPassThrough[T](parallelism: Int, statement: PreparedStatement, statementBinder: BiFunction[T, PreparedStatement, BoundStatement], session: Session): Flow[T, T, NotUsed]
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def
createUnloggedBatchWithPassThrough[T, K](parallelism: Int, statement: PreparedStatement, statementBinder: BiFunction[T, PreparedStatement, BoundStatement], partitionKey: Function[T, K], settings: CassandraBatchSettings, session: Session, ignored: ExecutionContext): Flow[T, T, NotUsed]
Creates a flow that batches using an unlogged batch.
Creates a flow that batches using an unlogged batch. Use this when most of the elements in the stream share the same partition key. Cassandra unlogged batches that share the same partition key will only resolve to one write internally in Cassandra, boosting write performance.
Be aware that this stage does not preserve the upstream order.
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- @deprecated
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(Since version 0.20) use createUnloggedBatchWithPassThrough without ExecutionContext instead
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def
createWithPassThrough[T](parallelism: Int, statement: PreparedStatement, statementBinder: BiFunction[T, PreparedStatement, BoundStatement], session: Session, ignored: ExecutionContext): Flow[T, T, NotUsed]
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- @deprecated
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(Since version 0.20) use createWithPassThrough without ExecutionContext instead
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(Since version ) see corresponding Javadoc for more information.