Github user mortada commented on the issue:
https://github.com/apache/spark/pull/15053
@HyukjinKwon do you know how I could run the doctests for these files? I
found this online:
https://cwiki.apache.org/confluence/display/SPARK/PySpark+Internals which says
that I could do
```
SPARK_TESTING=1 ./bin/pyspark python/pyspark/my_file.py.
```
but that doesn't actually work
```
$ SPARK_TESTING=1 ./bin/pyspark python/pyspark/sql/dataframe.py
python: Error while finding spec for 'python/pyspark/sql/dataframe.py'
(ImportError: No module named 'python/pyspark/sql/dataframe')
```
in terms of the extra time to create these small DataFrames, I think we'd
probably be looking at something reasonably negligible (a few seconds tops)
```
In [2]: %timeit df = spark.createDataFrame([('Alice', 2), ('Bob', 5)],
['name', 'age'])
100 loops, best of 3: 10.3 ms per loop
```
i.e. this should be on the order of 1 second even with creating `df` 100
times.
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