Remove dependency on shaded Spark artifact #169
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
build |
revans2
reviewed
Jun 15, 2020
|
build |
revans2
approved these changes
Jun 15, 2020
jlowe
approved these changes
Jun 15, 2020
nartal1
pushed a commit
to nartal1/spark-rapids
that referenced
this pull request
Jun 9, 2021
nartal1
pushed a commit
to nartal1/spark-rapids
that referenced
this pull request
Jun 9, 2021
tgravescs
pushed a commit
to tgravescs/spark-rapids
that referenced
this pull request
Nov 30, 2023
Signed-off-by: spark-rapids automation <70000568+nvauto@users.noreply.github.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Our tests depend on Guava. This PR makes this an explicit dependency in Maven and we now depend on Guava directly, rather than depending on a shaded version of Guava provided by Apache Spark.
My motivation for making this change is that it now allows me to temporarily add Apache Spark as a submodule of the plugin so that I can iterate quickly when working on issues that require code changes in both Spark and the plugin, avoiding the need to perform a
mvn installof Spark each time I make changes there.