GitHub user sameeragarwal opened a pull request:
https://github.com/apache/spark/pull/17751
[SPARK-20451] Filter out nested mapType datatypes from sort order in
randomSplit
## What changes were proposed in this pull request?
In `randomSplit`, It is possible that the underlying dataset doesn't
guarantee the ordering of rows in its constituent partitions each time a split
is materialized which could result in overlapping
splits.
To prevent this, as part of SPARK-12662, we explicitly sort each input
partition to make the ordering deterministic. Given that `MapTypes` cannot be
sorted this patch explicitly prunes them out from the sort order. Additionally,
if the resulting sort order is empty, this patch then materializes the dataset
to guarantee determinism.
## How was this patch tested?
Extended `randomSplit on reordered partitions` in `DataFrameStatSuite` to
also test for dataframes with mapTypes nested mapTypes.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sameeragarwal/spark randomsplit2
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17751.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 #17751
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