Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/5842#issuecomment-98499596
@brkyvz I had an offline discussion with Reynold. For the first version,
let's implement the local version in a single pass, which should cover most of
the use cases. The steps would be
1. `val counts = df.groupBy(col1, col1).agg(col1, col2,
count("*")).collect()`.
2. Find distinct col1/col2 values on the driver from `counts`.
3. Pivot and create the table DF on the driver.
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