DataStreamSinkProvider (Flink : Table : API Java bridge 2.0.0 API)

All Superinterfaces:

org.apache.flink.table.connector.sink.DynamicTableSink.SinkRuntimeProvider, org.apache.flink.table.connector.ParallelismProvider
```
@PublicEvolving
public interface DataStreamSinkProvider
extends org.apache.flink.table.connector.sink.DynamicTableSink.SinkRuntimeProvider, org.apache.flink.table.connector.ParallelismProvider
```
Provider that consumes a Java DataStream as a runtime implementation for DynamicTableSink.
Note: This provider is only meant for advanced connector developers. Usually, a sink should consist of a single entity expressed via SinkFunctionProvider, or OutputFormatProvider. When using a DataStream an implementer needs to pay attention to how changes are shuffled to not mess up the changelog per parallel subtask.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`org.apache.flink.streaming.api.datastream.DataStreamSink<?>`	`consumeDataStream(ProviderContext providerContext, org.apache.flink.streaming.api.datastream.DataStream<org.apache.flink.table.data.RowData> dataStream)`	Consumes the given Java `DataStream` and returns the sink transformation `DataStreamSink`.
`default Optional<Integer>`	`getParallelism()`

- Method Detail
  - consumeDataStream
```
org.apache.flink.streaming.api.datastream.DataStreamSink<?> consumeDataStream(ProviderContext providerContext,
                                                                              org.apache.flink.streaming.api.datastream.DataStream<org.apache.flink.table.data.RowData> dataStream)
```
    Consumes the given Java DataStream and returns the sink transformation DataStreamSink.
    Note: If the CompiledPlan feature should be supported, this method MUST set a unique identifier for each transformation/operator in the data stream. This enables stateful Flink version upgrades for streaming jobs. The identifier is used to map state back from a savepoint to an actual operator in the topology. The framework can generate topology-wide unique identifiers with ProviderContext.generateUid(String).
    
    See Also:
    
    SingleOutputStreamOperator.uid(String)
  - getParallelism
```
default Optional<Integer> getParallelism()
```
    Note: If a custom parallelism is returned and consumeDataStream(ProviderContext, DataStream) applies multiple transformations, make sure to set the same custom parallelism to each operator to not mess up the changelog.
    
    Specified by:
    
    getParallelism in interface org.apache.flink.table.connector.ParallelismProvider