GitHub user hvanhovell opened a pull request:
https://github.com/apache/spark/pull/20402
[SPARK-23223][SQL] Make stacking dataset transforms more performant
## What changes were proposed in this pull request?
It is a common pattern to apply multiple transforms to a `Dataset` (using
`Dataset.withColumn` for example. This is currently quite expensive because we
run `CheckAnalysis` on the full plan and create an encoder for each
intermediate `Dataset`.
## How was this patch tested?
Existing test should cover this.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/hvanhovell/spark SPARK-23223
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/20402.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 #20402
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commit 9d764ea298bd09bece33f11e9b5ef7893719d227
Author: Herman van Hovell <hvanhovell@...>
Date: 2018-01-26T03:38:07Z
Only run CheckAnalysis on unchecked part of a plan, and make encoder
binding lazy
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