GitHub user BryanCutler opened a pull request:
https://github.com/apache/spark/pull/19459
[SPARK-20791][PYSPARK] Use Arrow to create Spark DataFrame from Pandas
## What changes were proposed in this pull request?
This change uses Arrow to optimize the creation of a Spark DataFrame from a
Pandas DataFrame. The input df is sliced according to the default parallelism.
The optimization is enabled with the existing conf
"spark.sql.execution.arrow.enable" and is disabled by default.
## How was this patch tested?
Added new unit test to create DataFrame with and without the optimization
enabled, then compare results.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/BryanCutler/spark
arrow-createDataFrame-from_pandas-SPARK-20791
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/19459.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #19459
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