Fix Memory Leak in to_json with Numeric Values #26239
Merged
Conversation
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
Codecov Report
@@ Coverage Diff @@
## master #26239 +/- ##
==========================================
- Coverage 91.97% 91.96% -0.01%
==========================================
Files 175 175
Lines 52368 52368
==========================================
- Hits 48164 48160 -4
- Misses 4204 4208 +4
Continue to review full report at Codecov.
|
1 similar comment
Codecov Report
@@ Coverage Diff @@
## master #26239 +/- ##
==========================================
- Coverage 91.97% 91.96% -0.01%
==========================================
Files 175 175
Lines 52368 52368
==========================================
- Hits 48164 48160 -4
- Misses 4204 4208 +4
Continue to review full report at Codecov.
|
|
thanks @WillAyd |
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Outdated suggestions cannot be applied.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.
df.to_json#24889git diff upstream/master -u -- "*.py" | flake8 --diffIt looks like the extension module is unnecessarily incrementing the reference count for numeric objects and never releasing it, which causes a leak in to_json.
Still trying to grok exactly what the purpose of npyCtxtPassthru (comment in same file mentions it is required when encoding multi-dimensional arrays).
Removing the check for PyArray_ISDATETIME caused segfaults but that doesn't appear to leak memory anyway so most likely intentional to increment that ref count.
ASV results:
before after ratio [9feb3ad9] [9bfd45d3] <master> <json-mem-fix~1> - 69.1M 57.7M 0.84 io.json.ToJSONMem.peakmem_float - 69.1M 57.7M 0.83 io.json.ToJSONMem.peakmem_int SOME BENCHMARKS HAVE CHANGED SIGNIFICANTLY.