Github user tpoterba commented on the issue:
https://github.com/apache/spark/pull/18005
Addressed comments.
I tried to get some benchmark stats for this code:
```python
spark.read.csv(text_file).write.mode('overwrite').parquet(parquet_path)
```
I wanted to see the performance improvement for files with various numbers
of columns/rows that were all 1.5G. However, I didn't see much of a difference
with <30 columns and catalyst blew up when I tried ~50 columns (I wanted to go
up to several hundred)
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