GitHub user patrick-nicholson opened a pull request:
https://github.com/apache/spark/pull/17926
[MINOR][SQL][PYSPARK] Allow user to specify numSlices in
SparkSession.createDataFrame
## What changes were proposed in this pull request?
In my experience, pushing `pandas.DataFrame`s to `pyspark.DataFrame`s will
very quickly run up against size issues. These can usually be remedied by
changing configuration parameters (e.g., `spark.rpc.message.maxSize`), but it
is much more convenient to change the level of parallelization used during
`RDD` creation. This option is available in `sparkContext.broadcast`. This pull
request exposes it to `sparkSession.createDataFrame`.
## How was this patch tested?
I have been using a patch implementing this change for a while. I'm only
exposing a keyword argument used by an underlying function to the user.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/patrick-nicholson/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17926.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 #17926
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