[SYSTEMDS-3443] Asynchronously execute and persist Spark transformations #1704
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
This patch adds an operator to asynchronously trigger a chain of Spark transformations and persist the result. This is a generalization of Prefetch instruction and works if the consumer is a Spark transformation or action. TODO: operator placement (in parallel with a CP instruction chain).
fathollahzadeh
pushed a commit
to fathollahzadeh/systemds
that referenced
this pull request
Dec 7, 2022
This patch adds an operator to asynchronously trigger a chain of Spark transformations and persist the result. This is a generalization of Prefetch instruction and works if the consumer is a Spark transformation or action. TODO: operator placement (in parallel with a CP instruction chain). Closes apache#1704
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Outdated suggestions cannot be applied.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.
This patch adds an operator to asynchronously trigger a chain of Spark transformations and persist the result. This is a generalization of Prefetch instruction and works if the consumer is a Spark transformation
or action. TODO: operator placement (in parallel with a CP instruction chain).