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Which issue does this PR close?
Closes #1743
Rationale for this change
Native ORC reads use the global batch size. Reducing it to handle large String/Binary values also affects other native operators.
What changes are included in this PR?
Add
spark.auron.orc.batchSizeand pass it to the ORC reader through the existing JNI configuration path. The value must be positive and defaults tospark.auron.batchSize.Add regression coverage for configuration validation, ORC batch boundaries, and unchanged Parquet batching. Document the new setting.
Are there any user-facing changes?
Users can configure native ORC reader batches independently at application startup. Existing defaults are preserved; downstream operators may still coalesce batches.
How was this patch tested?
env RUSTFLAGS='-C target-cpu=native' cargo test --profile pre --locked -p datafusion-ext-plans orc_exec::tests../build/mvn -Ppre -Pspark-3.5 -Pscala-2.12 -pl spark-extension-shims-spark -DskipBuildNative '-Dsuites=org.apache.auron.AuronQuerySuite ORC reader batch size' test../build/mvn -Ppre -Pspark-4.0 -Pscala-2.13 -pl spark-extension-shims-spark -DskipBuildNative '-Dsuites=org.apache.auron.AuronQuerySuite ORC reader batch size' test../dev/reformat --check.Was this patch authored or co-authored using generative AI tooling?
Generated-by: Codex (GPT-6)
ASF guidance: https://www.apache.org/legal/generative-tooling.html