-
Notifications
You must be signed in to change notification settings - Fork 9.2k
HADOOP-17318. Support concurrent S3A commit jobs with same app attempt ID. #2399
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Closed
steveloughran
wants to merge
3
commits into
apache:trunk
from
steveloughran:s3/HADOOP-17318-magic-abort
Closed
Changes from all commits
Commits
Show all changes
3 commits
Select commit
Hold shift + click to select a range
File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains hidden or 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 file contains hidden or 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 file contains hidden or 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
Oops, something went wrong.
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Outdated suggestions cannot be applied.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.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Committers don't cancel just their own pending uploads?
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
taskAbort, yet. JobAbort/cleanup is where things are more trouble, because the job doesn't know what specific task attempts have uploaded.
with the staging committer, there's no files uploaded until task commit. Tasks which fail before that moment don't have any pending uploads to cancel.
with the magic committer, because the files are written direct to S3, there is more risk of pending uploads collecting.
I'm not sure about spark here, but on MR when a task is considered to have failed, abortTask is called in the AM to abort that specific task; for the magic committer the task's set of .pending files is determined by listing the task attempt dir, and those operations cancelled. If that operation is called reliably, only the current upload is pending.
Of course, if an entire job fails: no cleanup at all.
The best thing to do is simply to tell everyone to have a scheduled cleanup.
FWIW, the most leakage I see in the real world is actually from incomplete S3ABlockOutputStream writes as again, they accrue bills. Everyone needs a lifecycle rule to delete old ones. The sole exception there is one which our QE team used which (unknown to them) I'd use for testing the scalability of the "hadoop s3guard uploads" command -how well does it work when there are many, many incomplete uploads, can it still delete them all etc. If they had a rule then it'd screw up my test runs.