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@nchammas nchammas commented Dec 4, 2019

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]

@SparkQA
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SparkQA commented Dec 4, 2019

Test build #114816 has finished for PR 26755 at commit 5e324af.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

@HyukjinKwon
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Merged to master.

@nchammas nchammas deleted the SPARK-30113-ORC-mergeSchema branch December 4, 2019 02:45
attilapiros pushed a commit to attilapiros/spark that referenced this pull request Dec 6, 2019
… APIs

### What changes were proposed in this pull request?

This PR is a follow-up to apache#24043 and cousin of apache#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]
```

Closes apache#26755 from nchammas/SPARK-30113-ORC-mergeSchema.

Authored-by: Nicholas Chammas <nicholas.chammas@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
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4 participants