Track memory allocated by the arrow library#63584
Merged
alexey-milovidov merged 4 commits intomasterfrom Jun 4, 2024
Merged
Conversation
Contributor
|
This is an automated comment for commit 26abb08 with description of existing statuses. It's updated for the latest CI running ❌ Click here to open a full report in a separate page
Successful checks
|
alexey-milovidov
approved these changes
May 10, 2024
14f08ce to
9306ddc
Compare
009976f to
96c6ff5
Compare
1 task
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Changelog category (leave one):
Changelog entry (a user-readable short description of the changes that goes to CHANGELOG.md):
Fixed parquet memory tracking.
By default arrow allocates memory using
posix_memalign(), which we don't equip with memory tracking. This PR tells it to use our tracked allocator instead.Important because parquet reader may use lots of memory, specifically
max_parsing_threads * [row group size]. That's often a few GBs, sometimes tens of GBs.