public interface Stage
pipeline, represents
 a computation step. It accepts input from its upstream stages (if any)
 and passes its output to its downstream stages (if any). Jet
 differentiates between batch stages that represent
 finite data sets (batches) and stream stages that
 represent infinite data streams. Some operations only make sense on a
 batch stage and vice versa.
 
 To build a pipeline, start with pipeline.readFrom() to
 get the initial stage and then use its methods to attach further
 downstream stages. Terminate the pipeline by calling stage.writeTo(sink), which will attach a
 SinkStage.
| Modifier and Type | Method and Description | 
|---|---|
| Pipeline | getPipeline()Returns the  Pipelinethis stage belongs to. | 
| String | name()Returns the name of this stage. | 
| Stage | setLocalParallelism(int localParallelism)Sets the preferred local parallelism (number of processors per Jet
 cluster member) this stage will configure its DAG vertices with. | 
| Stage | setName(String name)Overrides the default name of the stage with the name you choose and
 returns the stage. | 
@Nonnull Stage setLocalParallelism(int localParallelism)
While most stages are backed by 1 vertex, there are exceptions. If a stage uses two vertices, each of them will have the given local parallelism, so in total there will be twice as many processors per member.
The default value is and it signals to Jet to figure out a default value. Jet will determine the vertex's local parallelism during job initialization from the global default and the processor meta-supplier's preferred value.
@Nonnull Stage setName(@Nonnull String name)
name - the stage nameCopyright © 2022 Hazelcast, Inc.. All rights reserved.