ATHARVA262005 opened a new issue, #37410: URL: https://github.com/apache/beam/issues/37410
### What would you like to happen? Currently, [SparkReceiverIO](cci:2://file:///d:/open%20souce/beam/sdks/java/io/sparkreceiver/3/src/main/java/org/apache/beam/sdk/io/sparkreceiver/SparkReceiverIO.java:83:0-239:1) reads data using a single worker because the [Read](cci:2://file:///d:/open%20souce/beam/sdks/java/io/rrio/src/main/java/org/apache/beam/io/requestresponse/Cache.java:219:4-264:5) transform initializes with `Impulse.create()`, which produces a single initial element. This creates a scalability bottleneck as all data ingestion is constrained to one machine, regardless of the available worker pool. I would like to implement a parallel reading mechanism in [SparkReceiverIO](cci:2://file:///d:/open%20souce/beam/sdks/java/io/sparkreceiver/3/src/main/java/org/apache/beam/sdk/io/sparkreceiver/SparkReceiverIO.java:83:0-239:1). This involves: 1. Adding a [withNumReaders(int)](cci:1://file:///d:/open%20souce/beam/sdks/java/io/sparkreceiver/3/src/main/java/org/apache/beam/sdk/io/sparkreceiver/SparkReceiverIO.java:169:4-177:5) configuration method to the builder. 2. Refactoring the implementation to use `Create.of(shards)` followed by `Reshuffle` when `numReaders > 1` is specified. 3. Ensuring backward compatibility by defaulting to the single-reader behavior if `numReaders` is unnecessary. This enhancement will allow `SparkReceiverIO` to scale horizontally, significantly increasing throughput for high-volume use cases. ### Issue Priority Priority: 2 (default / most feature requests should be filed as P2) ### Issue Components - [ ] Component: Python SDK - [x] Component: Java SDK - [ ] Component: Go SDK - [ ] Component: Typescript SDK - [x] Component: IO connector - [ ] Component: Beam YAML - [ ] Component: Beam examples - [ ] Component: Beam playground - [ ] Component: Beam katas - [ ] Component: Website - [ ] Component: Infrastructure - [ ] Component: Spark Runner - [ ] Component: Flink Runner - [ ] Component: Samza Runner - [ ] Component: Twister2 Runner - [ ] Component: Hazelcast Jet Runner - [ ] Component: Google Cloud Dataflow Runner -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
