ATHARVA262005 opened a new pull request, #37411:
URL: https://github.com/apache/beam/pull/37411
## Description
This PR addresses a scalability bottleneck in `SparkReceiverIO` where data
reading was previously restricted to a single worker.
Previously, the `Read` transform used `Impulse.create()`, which limited the
downstream `Splittable DoFn` execution to a single initial restriction. This
change introduces proper parallelization logic, allowing users to configure
multiple concurrent readers.
### Key Changes:
- **Added `withNumReaders(int)`**: A new configuration option to the
`SparkReceiverIO` builder.
- **Parallel Work Distribution**: Implemented `Create.of(shards)` +
`Reshuffle` pattern in `expand()`. When `numReaders > 1`, this forces the
distribution of reading tasks across available Beam workers.
- **DoFn Refactoring**: Updated `ReadFromSparkReceiverWithOffsetDoFn` to
accept explicit `Integer` shard identifiers instead of generic `byte[]`.
- **Backward Compatibility**: Preserved strict backward compatibility. If
`numReaders` is partially set or defaults to 1, the IO mimics the original
behavior exactly.
## Issue Links
Fixes #37410
## Type of change
- [x] New feature
## Tests
I have added a new unit test `testReadFromCustomReceiverWithParallelism` to
`SparkReceiverIOTest.java` which verifies that:
1. The IO correctly initializes with multiple readers (configured to 3).
2. All records are read without duplication or loss (verified 60 total
records from 3 simulated sources).
Running the tests:
```bash
./gradlew :sdks:java:io:sparkreceiver:3:test
------------------------
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