bvolpato opened a new pull request, #37904:
URL: https://github.com/apache/beam/pull/37904

   ## Summary
   
   Add a new I/O connector for [Apache Arrow 
Flight](https://arrow.apache.org/docs/format/Flight.html), enabling 
high-performance data transfer over gRPC using the Arrow columnar format. Arrow 
Flight avoids serialization/deserialization overhead and can achieve 10-50x 
faster data transfer compared to JDBC/ODBC.
   
   Fixes #20116
   
   ## Changes
   
   - **`ArrowFlightIO.Read`** — BoundedSource-based read transform that fetches 
Arrow Flight schemas via `getInfo`, splits work by `FlightEndpoint`, and 
converts record batches to Beam `Row` using the existing `ArrowConversion` 
extension.
   - **`ArrowFlightIO.Write`** — DoFn-based write transform that buffers Beam 
Rows into configurable batches, converts them to Arrow vectors, and streams 
them to a Flight server via `doPut`.
   - **Endpoint-level split parallelism** — each `FlightEndpoint` returned by 
the server becomes a separate sub-source for parallel reads.
   - **Bearer token authentication** — optional token support via `withToken()`.
   - **Build integration** — registered `flight-core` and `flight-sql` 
artifacts in `BeamModulePlugin.groovy`; added the `:sdks:java:io:arrow-flight` 
module to `settings.gradle.kts`.
   - **Documentation** — added ArrowFlightIO to `CHANGES.md` (2.73.0) and the 
built-in connectors table in `connectors.md`.
   
   ## Testing
   
   Tests use a real in-process `FlightServer` with a `TestFlightProducer`:
   - **`testRead()`** — starts a Flight server serving two rows, reads them 
with `ArrowFlightIO.read()`, and asserts the output via `PAssert`.
   - **`testWrite()`** — writes two rows with `ArrowFlightIO.write()` and 
verifies the producer received exactly 2 records.
   
   Both tests run the full pipeline end-to-end using `TestPipeline` and the 
DirectRunner.
   
   ## Did this cause any problems?
   Rollback/revert this commit and redeploy the service.
   
   ------------------------
   
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