Nomination Evidence: gaogaotiantian

Project: apache/spark Period: 2026-02-14 to 2026-02-21

Summary

gaogaotiantian contributes both code (10 PRs) and reviews (18 reviews).

Highlights

42 commits, 18 PRs reviewed, 27 review comments | https://github.com/apache/spark/commits?author=gaogaotiantian
Drove PR #54374 ([SPARK-55597][INFRA] Add initial issue templates for spark), 21 review rounds: https://github.com/apache/spark/pull/54374
Review on PR #54009 ([SPARK-46167][PS] Add axis implementation to DataFrame.rank): "Personally, I think it's not great for us to have a different positional paramet......" https://github.com/apache/spark/pull/54009
Review comment on PR #54291 ([SPARK-55505][SQL] Fix NPE on reading EXECUTION_ROOT_ID_KEY in concurrent scenarios): "Do we still need changes here? If we consider local property thread safe, the original code should be fine right? I don'..." https://github.com/apache/spark/pull/54291

Contribution statistics

Code contributions (GitHub)

PRs opened: 10
PRs merged: 0
Lines added: 678
Lines deleted: 427
Commits: 42

Code review

PRs reviewed: 18
Review comments given: 27
Issue comments: 11
- APPROVED: 6 (33%)
- CHANGES_REQUESTED: 0 (0%)
- COMMENTED: 12 (66%)

Composite score

Dimension	Score	Notes
Complexity	2.2/10	0 high-complexity PRs of 3 scored
Stewardship	6.7/10	32% maintenance work, 50% consistency
Review depth	6.0/10	1.3 comments/review, 50% questions, 8 contributors
Composite	4.9/10	out of 66 contributors

Review relationships

People this contributor reviews most

Yicong-Huang: 9 reviews
devin-petersohn: 6 reviews
fangchenli: 3 reviews

People who review this contributor's PRs most

HyukjinKwon: 22 reviews
dongjoon-hyun: 11 reviews
allisonwang-db: 6 reviews
zhengruifeng: 2 reviews
Yicong-Huang: 2 reviews
juliuszsompolski: 1 reviews

Community health profile

Relational metrics: how this contributor strengthens the community beyond code output.

Net reviewer ratio: 1.8x
Interaction breadth: 8 unique contributors (concentration: 50%)
Newcomer welcoming: 9 reviews on PRs from contributors with 3 or fewer PRs
- Names: devin-petersohn, fangchenli
Helping ratio: 63% of GitHub comments directed at others' PRs
Review depth: 1.3 comments/review, 50% questions (24 comments on 18 reviews)
Stewardship: 32% of work is maintenance (12/37 PRs: 9 authored, 3 reviewed)
Consistency: 50% (1/2 weeks active)
Feedback responsiveness: 67% iteration rate, 1.2h median turnaround, 33% reply rate (3 PRs with feedback)

Complexity of authored work

PRs scored: 3
High complexity (>= 0.5): 0
Low complexity (< 0.5): 3
Average complexity: 0.317

Quality of review contributions

Probing review comments (expressing uncertainty, challenging assumptions): 7

Most significant probing reviews (on highest-complexity PRs)

PR #54374 ([SPARK-55597][INFRA] Add initial issue templates for spark, score 0.497)
- Topics: micro versions
- Comment: "For this specific case, do we want to keep all the micro versions? For example, ..."
PR #54374 ([SPARK-55597][INFRA] Add initial issue templates for spark, score 0.497)
- Topics: be very similar
- Comment: "I named this intentionally so it includes both "improvement" and "new feature". ..."
PR #54009 ([SPARK-46167][PS] Add axis implementation to DataFrame.rank, score 0.277)
- Topics: backward compatibility
- Comment: "Personally, I think it's not great for us to have a different positional paramet..."
PR #54125 ([SPARK-55349][PYTHON] Consolidate pandas-to-Arrow conversion utilities in serializers, score 0.276)
- Topics: at least take
- Comment: "We have a lot of random conversions to list - why is it preferred? I think `tu..."
PR #54125 ([SPARK-55349][PYTHON] Consolidate pandas-to-Arrow conversion utilities in serializers, score 0.276)
- Comment: "If assign_cols_by_name is True but columns does not have name, what happens?..."

Highest-judgment review comments (on others' PRs)

(Selected by length, technical content, and presence of questions)

PR #54291 ([SPARK-55505][SQL] Fix NPE on reading EXECUTION_ROOT_ID_KEY in concurrent scenarios)
- File: sql/core/src/main/scala/org/apache/spark/sql/execution/SQLExecution.scala
- "Do we still need changes here? If we consider local property thread safe, the original code should be fine right? I don't want to add redundant logic for multi thread safety. This will mislead others (and ourselves in the future) that setLocalProperty is not thread safe. We should consider it to b"
PR #54009 ([SPARK-46167][PS] Add axis implementation to DataFrame.rank)
- File: python/pyspark/pandas/frame.py
- "Personally, I think it's not great for us to have a different positional parameter order than pandas in long term. So maybe it's nicer to hurt the user once instead of twice? But maybe backward compatibility is a huge thing here and we had to preserve the non-ideal usage. In that case we probably ne"
PR #54125 ([SPARK-55349][PYTHON] Consolidate pandas-to-Arrow conversion utilities in serializers)
- File: python/pyspark/sql/pandas/serializers.py
- "We have a lot of random conversions to list - why is it preferred? I think tuple should be used when possible (or keep it what it is if conversion is unnecessary). Immutable objects are always better - including the input data - we should at least take either."
PR #54296 ([SPARK-55390][PYTHON] Consolidate SQL_SCALAR_ARROW_UDF wrapper, mapper, and serializer logic)
- File: python/pyspark/worker.py
- "I understand this is how it was done before, but we are abstracting it out as a more generic functinn (probably will be used by others). This piece is not consistent. The error message saying we are expecting a pyarrow.Array but we are checking __len__. It could be confusing to users. Also, hav"
PR #54009 ([SPARK-46167][PS] Add axis implementation to DataFrame.rank)
- File: python/pyspark/pandas/frame.py
- "We need to make a decision for where axis should be. pandas has it at the very beginning - we are doing a different thing, which means if the user is sending the argument positionally, we would have a different result. On the other hand, if they are doing that, moving axis to the beginning wou"

Area focus

Files touched (authored PRs)

python/pyspark/sql (71 files)
python/pyspark/pandas (34 files)
python/pyspark/testing (7 files)
dev/sparktestsupport/modules.py (6 files)
python/pyspark/tests (6 files)
python/pyspark/ml (6 files)
pyproject.toml (3 files)
python/pyspark/errors (3 files)

Areas reviewed (from PR titles)

testing (1 PRs)
storage/log (1 PRs)