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security(weave_query): Upgrade Pyarrow to 17.0.0 #3617
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Preview this PR with FeatureBee: https://beta.wandb.ai/?betaVersion=a29ecabd16894f607ae8e37c4a53687d9f9c5baf |
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yeah, build ci issue won't pass until i can merge this in: https://github.com/wandb/core/commit/6024445f236bdcd91f082a55138bcfc17b3c97d1 ty, i'll rebase |
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Do we need to bump pyarrow here as well? https://github.com/wandb/core/blob/1fcfde879bdf5e8a5d39c69b189d9b2cc2795d67/services/weave-python/requirements.txt#L11 |
Yup, here's the companion PR for it: https://github.com/wandb/core/pull/27312 When this gets stamped, I'll merge the core PR in first, then this PR |
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WalkthroughThe changes update the Changes
Sequence Diagram(s)sequenceDiagram
participant Caller as Caller Function
participant Safe as safe_list_array_from_arrays
participant ListArray as pa.ListArray.from_arrays
Caller ->> Safe: Call with offsets, values, mask
alt Offsets contain nulls
Safe ->> ListArray: Create masked ListArray
else Offsets valid
Safe ->> ListArray: Create ListArray normally
end
ListArray -->> Safe: Return constructed ListArray
Safe -->> Caller: Return safe ListArray
Poem
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Actionable comments posted: 0
🧹 Nitpick comments (1)
weave_query/weave_query/arrow/arrow.py (1)
484-484
: Remove trailing whitespace.There is a trailing whitespace at the end of line 484.
- # between null offsets and masks via offsets.null_count(). When concatenating + # between null offsets and masks via offsets.null_count(). When concatenating🧰 Tools
🪛 Ruff (0.8.2)
484-484: Trailing whitespace
Remove trailing whitespace
(W291)
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📒 Files selected for processing (7)
weave_query/requirements.legacy.txt
(1 hunks)weave_query/weave_query/arrow/arrow.py
(2 hunks)weave_query/weave_query/arrow/arrow_tags.py
(2 hunks)weave_query/weave_query/arrow/concat.py
(3 hunks)weave_query/weave_query/arrow/convert.py
(2 hunks)weave_query/weave_query/arrow/list_.py
(2 hunks)weave_query/weave_query/ops_arrow/arraylist_ops.py
(2 hunks)
🧰 Additional context used
📓 Path-based instructions (1)
`**/*.py`: Focus on pythonic code patterns. Check for proper...
**/*.py
: Focus on pythonic code patterns.
Check for proper exception handling.
Verify type hints usage where applicable.
Look for potential performance improvements.
Don't comment on formatting if black/isort is configured.
Check for proper dependency injection patterns.
Verify proper async handling if applicable.
weave_query/weave_query/arrow/arrow_tags.py
weave_query/weave_query/arrow/concat.py
weave_query/weave_query/arrow/arrow.py
weave_query/weave_query/arrow/convert.py
weave_query/weave_query/ops_arrow/arraylist_ops.py
weave_query/weave_query/arrow/list_.py
🪛 Ruff (0.8.2)
weave_query/weave_query/arrow/arrow.py
484-484: Trailing whitespace
Remove trailing whitespace
(W291)
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🔇 Additional comments (11)
weave_query/weave_query/arrow/arrow.py (2)
480-506
: LGTM! Well-designed solution for handling null offsets and masks.The function effectively resolves the ambiguity between null offsets and masks in PyArrow 17.0.0 by checking
offsets.null_count
and applying the appropriate strategy.🧰 Tools
🪛 Ruff (0.8.2)
484-484: Trailing whitespace
Remove trailing whitespace
(W291)
346-355
: LGTM! Proper usage of safe_list_array_from_arrays.The function is correctly used with all required parameters, maintaining the original functionality while adding safety checks.
weave_query/weave_query/arrow/arrow_tags.py (2)
8-11
: LGTM! Clean import organization.The imports are properly organized and include the new
safe_list_array_from_arrays
function.
36-41
: LGTM! Proper usage of safe_list_array_from_arrays.The function is correctly used with all required parameters, maintaining the original functionality while adding safety checks.
weave_query/weave_query/ops_arrow/arraylist_ops.py (2)
7-11
: LGTM! Clean import organization.The imports are properly organized and include the new
safe_list_array_from_arrays
function.
213-220
: LGTM! Proper usage of safe_list_array_from_arrays.The function is correctly used with all required parameters, maintaining the original functionality while adding safety checks.
weave_query/weave_query/arrow/concat.py (2)
28-28
: LGTM! Clean import organization.The import of
safe_list_array_from_arrays
is properly organized.
213-220
: LGTM! Proper usage of safe_list_array_from_arrays.The function is correctly used with all required parameters, maintaining the original functionality while adding safety checks.
weave_query/requirements.legacy.txt (1)
9-9
: Verify security status of Pyarrow 17.0.0.Let's check for any known security vulnerabilities in Pyarrow 17.0.0.
✅ Verification successful
🌐 Web query:
Are there any known security vulnerabilities in Apache Arrow (PyArrow) version 17.0.0?
💡 Result:
Apache Arrow (PyArrow) version 17.0.0 was released as a security fix for critical vulnerabilities in earlier versions, but it has introduced new stability issues unrelated to security:
Security Status of PyArrow 17
- No active security vulnerabilities are reported for PyArrow 17 itself[1][4][10]. This version patched critical flaws:
- CVE-2024-52338: Arbitrary code execution via deserialization in IPC/Parquet readers (fixed in R package v17)[1][4]
- CVE-2023-47248: Similar deserialization exploit in PyArrow ≤14[3]
Known Issues in v17
While secure, users report:
- Segmentation faults when importing PyArrow 17 on:
- Python 3.x environments[5]
- ARM-based systems using precompiled wheels[9]
Recommendations
Action Details Security Upgrade to v17 if using vulnerable versions (≤16 for R package; ≤14 for PyArrow)[1][3][4] Stability Test v17 thoroughly in your environment; downgrade to v15 temporarily if crashes occur[5][9] PyArrow’s core security posture improved significantly with v17, though deployment may require additional testing for runtime stability[5][9].
Citations:
- 1: https://securityonline.info/cve-2024-52338-critical-security-flaw-in-apache-arrow-r-package-allows-arbitrary-code-execution/
- 2: https://security.snyk.io/package/pip/pyarrow/0.17.1
- 3: https://arrow.apache.org/security/
- 4: https://vulert.com/vuln-db/CVE-2024-52338
- 5: pip install pyarrow==17.0.0 causes segmentation fault 11 upon import with mac apache/arrow#43339
- 6: https://cve.mitre.org/cgi-bin/cvekey.cgi
- 7: https://ogma.in/cve-2024-52338-addressing-deserialization-vulnerabilities-in-apache-arrow-r-package
- 8: https://pypi.org/project/pyarrow/
- 9: [Python] Segmentation fault occurs on libarrow load when using the pyarrow 17.0.0 arm64 wheel apache/arrow#44342
- 10: https://app.opencve.io/cve/?vendor=apache_software_foundation
Pyarrow 17.0.0 Security Verification
The web query confirms that Pyarrow 17.0.0 has no active security vulnerabilities. It fixed critical issues from earlier versions (e.g., CVE-2024-52338 and CVE-2023-47248), though there are some stability issues in certain environments.
- Security: No active vulnerabilities have been reported for Pyarrow 17.0.0.
- Stability: Some environments (Python 3.x and ARM-based systems using precompiled wheels) have encountered segmentation faults; testing is advised.
weave_query/weave_query/arrow/convert.py (1)
311-313
: LGTM! The change improves handling of null values in list arrays.The switch to
safe_list_array_from_arrays
aligns with Pyarrow 17.0.0's stricter requirements for handling null masks and offsets.Let's verify all usages of
ListArray.from_arrays
have been updated:❌ Verification inconclusive
🏁 Script executed:
#!/bin/bash # Description: Find any remaining direct usage of ListArray.from_arrays that might need updating # Search for direct usage of ListArray.from_arrays rg -A 5 'ListArray\.from_arrays'Length of output: 6118
Approved Convert.py Change, but Further Verification on Other Usages Is Needed
The update in
weave_query/weave_query/arrow/convert.py
(lines 311–313) to usesafe_list_array_from_arrays
properly addresses PyArrow 17.0.0’s stricter handling of null masks and offsets. However, our search reveals that there are other direct calls topa.ListArray.from_arrays
in several locations (for example, in another part ofconvert.py
, inarrow.py
,syndata.py
, and within the variousops_arrow
modules). Please verify whether these additional instances should also adopt the safe helper for consistency.
- The change in
convert.py
(lines 311–313) is correctly applied.- There is another instance in
convert.py
(assigningstringed_list
) that still usespa.ListArray.from_arrays
.- Additional occurrences in files like
arrow.py
,syndata.py
, and theops_arrow
modules should be checked to determine if they require similar updates.weave_query/weave_query/arrow/list_.py (1)
807-813
: LGTM! The change ensures proper handling of null values in list arrays.The implementation correctly uses:
offsets_starting_at_zero
for offset generationpa.compute.is_null(arr)
for null mask handlingsafe_list_array_from_arrays
for safe list array creationSince this is a critical change in a core data structure, let's verify test coverage:
✅ Verification successful
🏁 Script executed:
#!/bin/bash # Description: Check test coverage for ArrowWeaveList._map_column # Search for tests related to _map_column rg -A 5 'def test.*_map_column'Length of output: 382
LGTM! The test coverage in
weave_query/tests/test_arrow.py
(specifically in thetest_map_column
function) confirms that the changes in handling null values and constructing list arrays are exercised. No further action is required here, though consider adding additional edge-case tests if possible.
Description
WB-22924
This PR upgrades and pins pyarrow to 17.0.0.
16.1.0 -> 17.0.0 Upgrade Issues
This change in pyarrow introduced stricter checks when using
pa.ListArray.from_arrays().
Specifically, we cannot use both a null mask with an offset that has nulls.This new strictness caused many of our unit tests to fail:

A strange observation
I stumbled upon this accidentally, but just checking the null count in the offsets like
new_offsets.null_count
makes all the unit tests pass.My theory:
It looks like when we're getting new offsets during concatenation, we use compute functions (which are lazy), so when the offset is checked for nulls on the cpp side, it's possible that it's in an intermediate state with nulls. When evaluating the null_count in python, this forces the compute functions to evaluate, resulting in offsets without nulls.
Solution
I created a new function called
safe_list_array_from_arrays
that handles the strictness. It checks thenull_count
of the offsets:pa.ListArray.from_arrays()
without a mask, then usespc.if_else
to set nulls.pa.ListArray.from_arrays()
with the mask.The outcome:
offset.null_count
is called which triggers evaluation of the offset arraya. If there are no nulls in the offset array, the mask is used, and the behavior is the same as before the upgrade
b. If there are nulls in the offset array, then a mask isn't used, but
pc.if_else
handles nulling values in the resulting array.Testing
I used the unit test failures to test my changes.
Summary by CodeRabbit