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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -147,6 +147,7 @@ def load(self, path=None, format=None, schema=None,
**options):
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Since we verified JSON result, I'll update the PR to address @HyukjinKwon
's comment.
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Hi, @cloud-fan and @gatorsmile .
This is a backport of #20619 .
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@cloud-fan and @zsxwing .
This is a backport of #20616 .
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@cloud-fan and @zsxwing .
This is a backport of #20616 .
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@gatorsmile and @HyukjinKwon .
Two failures are due to limitation of the current JSON data source
implementation. Here, we can see that the test suite correctly tests the target
data
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@cloud-fan @rdblue
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[SPARK-23574][CORE] Report SinglePartition in DataSourceV2ScanExec when
there's exactly 1 data reader factory.
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gentle ping, I believe this is ready for another look.
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@@ -665,6 +667,25 @@ public void close()
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Thank you. Merging to master only as this is a new feature touching
production code paths.
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thanks, merging to master!
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add to whitelist
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LGTM pending tests.
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This is a WIP as some issues need to be worked out on the Arrow side and
need tests for pandas_udfs. Currently get the following error when converting
from pandas:
```
File
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[WIP][SPARK-23555][PYTHON] Add BinaryType support for Arrow
## What changes were proposed in this pull request?
Adding `BinaryType` support for Arrow in pyspark.
## How was
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Merged with master. Thanks!
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[SPARK-18630][PYTHON][ML] Move del method from JavaParams to JavaWrapper;
add tests
## What changes were proposed in this pull request?
Move del method from JavaParams to JavaWrapper; add
Github user zaycev commented on the issue:
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I observed about 5x better performance in reading a small subset of fields
of a highly nested parquet table:
master:
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* If this method fails
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* same task
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* same task
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Sure, @gatorsmile .
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