[GitHub] [spark] nchammas opened a new pull request #26755: [SPARK-30113][SQL][Python] Expose mergeSchema option in PySpark's ORC APIs

[GitBox <gi...@apache.org>]

nchammas opened a new pull request #26755: [SPARK-30113][SQL][Python] Expose mergeSchema option in PySpark's ORC APIs
URL: https://github.com/apache/spark/pull/26755
 
 
   ### What changes were proposed in this pull request?
   
   This PR is a follow-up to #24043 and cousin of #26730. It exposes the `mergeSchema` option directly in the ORC APIs.
   
   ### Why are the changes needed?
   
   So the Python API matches the Scala API.
   
   ### Does this PR introduce any user-facing change?
   
   Yes, it adds a new option directly in the ORC reader method signatures.
   
   ### How was this patch tested?
   
   I tested this manually as follows:
   
   ```
   >>> spark.range(3).write.orc('test-orc')
   >>> spark.range(3).withColumnRenamed('id', 'name').write.orc('test-orc/nested')
   >>> spark.read.orc('test-orc', recursiveFileLookup=True, mergeSchema=True)
   DataFrame[id: bigint, name: bigint]
   >>> spark.read.orc('test-orc', recursiveFileLookup=True, mergeSchema=False)
   DataFrame[id: bigint]
   >>> spark.conf.set('spark.sql.orc.mergeSchema', True)
   >>> spark.read.orc('test-orc', recursiveFileLookup=True)
   DataFrame[id: bigint, name: bigint]
   >>> spark.read.orc('test-orc', recursiveFileLookup=True, mergeSchema=False)
   DataFrame[id: bigint]
   ```

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