Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17926
No, it is not virtually the same before/after (and also we need a
regression test). So, it needs a JIRA - see
http://spark.apache.org/contributing.html. Adding an parameter to
`createDataFrame` is to add a functionality to `createDataFrame` that does not
exist before in this API.
As you said, this can be done in a single line like that, you could just
make a wrapper function for it in application side in few lines.
```python
def createDataFrame(data, numSlices, **kwargs):
return spark.createDataFrame(
spark.sparkContext.parallelize(data, numSlices=numSlices), **kwargs)
```
I am not sure if it is worth adding this parameter. It looks there is a
potential confusion to users and workaround looks so easy.
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