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---
name: pr_review
description: Review Apache DataFusion pull requests following the project's PR review guide. Use whenever asked to review a DataFusion PR or PR URL, and whenever creating a PR, to check the changes against the same criteria before submitting.
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---

# DataFusion PR Review

This skill describes the mechanics for doing PR reviews from the command line.

When creating a PR, skip the "Collect PR context" step and instead check the
changes against each area of the
[PR review guide](../../../docs/source/contributor-guide/pr_review.md) before
submitting.

## Collect PR context

- Check out the PR locally: `gh pr checkout <PR number>` (ask first if the
working tree has other work in progress).
- Fetch the PR description, comments, and reviews:
`gh pr view <PR number> --json title,body,comments,reviews`
- Fetch CI status: `gh pr checks <PR number>`.

## Compute the diff

```bash
# find the remote that points at apache/datafusion (e.g. `apache`, `upstream`, or `origin`)
UPSTREAM=$(git remote -v | grep -m1 'apache/datafusion' | cut -f1)
git fetch $UPSTREAM main
git diff $(git merge-base HEAD $UPSTREAM/main)
```

## Review checklist

Work through each area from the
[PR review guide](../../../docs/source/contributor-guide/pr_review.md).
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- [Quick Start Setup](docs/source/contributor-guide/development_environment.md#quick-start)
- [Testing Quick Start](docs/source/contributor-guide/testing.md#testing-quick-start)
- [Before Submitting a PR](docs/source/contributor-guide/index.md#before-submitting-a-pr)
- [Reviewing Pull Requests](docs/source/contributor-guide/pr_review.md)
- [Contributor Guide](docs/source/contributor-guide/index.md)
- [Architecture Guide](docs/source/contributor-guide/architecture.md)

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Note all commits in a PR are squashed when merged to the `main` branch so there is one commit per PR after merge.

For larger PRs, it is often helpful to leave a review on your own PR with
comments calling out important changes or specific important choices. These
annotations can help reviewers quickly find areas they should focus on, thus
speeding up review.

## Release Management and Backports

Contributor-facing guidance for release branches, patch releases, and backports
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## Reviewing Pull Requests

Some helpful links:

- [PRs Waiting for Review] on GitHub
- [Approved PRs Waiting for Merge] on GitHub

[prs waiting for review]: https://github.com/apache/datafusion/pulls?q=is%3Apr+is%3Aopen+-review%3Aapproved+-is%3Adraft+
[approved prs waiting for merge]: https://github.com/apache/datafusion/pulls?q=is%3Apr+is%3Aopen+review%3Aapproved+-is%3Adraft

When reviewing PRs, our primary goal is to improve DataFusion and its community together. PR feedback should be constructive with the aim to help improve the code as well as the understanding of the contributor.

Please ensure any issues you raise contains a rationale and suggested alternative -- it is frustrating to be told "don't do it this way" without any clear reason or alternate provided.

Some things to specifically check:

1. Is the feature or fix covered sufficiently with tests (see the [Testing](testing.md) section)?
2. Is the code clear, and fits the style of the existing codebase?
See the [Reviewing Pull Requests](pr_review.md) guide for what we look for

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I moved and expanded the content into its own page

when reviewing PRs and how to prepare your own for review.

## Performance Improvements

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<!---
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
-->

# Reviewing Pull Requests

When reviewing PRs, our primary goal is to improve DataFusion and its community
together. PR feedback should be constructive and help improve the code as well
as the understanding of the contributor.

Review bandwidth is currently our most limited resource, and reviews from the
broader community are both welcomed and encouraged. Reviewing PRs is a great way
to learn the codebase, and you do not need to be a committer to leave valuable
review feedback. In fact, one of the best ways to become a committer is to
thoughtfully review other PRs.

Please ensure any comments you leave contain a rationale and suggested
alternative -- it is frustrating to be told "don't do it this way" without any
clear reason or alternative provided.

The criteria in this guide are also a useful checklist when preparing your own
PR for review.

## PR Review Mechanics

Some helpful links:

- [PRs Waiting for Review] on GitHub
- [Approved PRs Waiting for Merge] on GitHub

[prs waiting for review]: https://github.com/apache/datafusion/pulls?q=is%3Apr+is%3Aopen+-review%3Aapproved+-is%3Adraft+
[approved prs waiting for merge]: https://github.com/apache/datafusion/pulls?q=is%3Apr+is%3Aopen+review%3Aapproved+-is%3Adraft

The overall PR lifecycle (CI triggering, approval, the 24-hour rule for
"major" PRs, and merging) is described in the
[Pull Request Overview](index.md#pull-request-overview) section of the
contributor guide.

Practical tips:

1. Check out the changes locally to explore them in your IDE or with an
agent, e.g. `gh pr checkout <PR number>` using the [GitHub CLI].
2. There is normally no need to rerun tests locally that CI has already run.
3. Leave comments on specific lines of the diff where possible, so the
discussion has context.
4. If you review a PR but don't feel confident approving it, leaving comments
is still valuable: a partial review (e.g. "I reviewed the tests and they
look good") helps the next reviewer focus their time.
5. Anything that does not need to block the current PR can be noted as a
potential follow-up (ideally by filing an issue), keeping the PR focused
and quick to merge.

[github cli]: https://cli.github.com/

## Review the PR Description

The PR description is often what users and contributors will find when they have
a question about the intention behind a change, or when the code itself is not
clear. The PR description also becomes the extended commit message.

Check that the description:

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This document basically distills down my experience reviewing PRs / what I do. I think it is common practice but would love additioanl feedback / suggestions

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I will hope to expand this with some examples going forwrd

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Nit: my first PR I didn't realize the PR description folded into the commit message itself, since I realized I try to avoid tagging people there or other text that won't read well or makes sense in git log. An agent might produce a better description if provided with this info here

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I added this in a5752c4 -- is that enough?


1. Concisely describes the **problem being solved from the user's point of
view**.

2. Follows the [PR template], and answers the template's questions.

3. Accurately describes what the PR actually does.

4. Explicitly calls out any user-facing or API changes (see
[Review the Code](#review-the-code) below).

[pr template]: https://github.com/apache/datafusion/blob/main/.github/pull_request_template.md

## Review the Code Comments

The goal of code comments is to help future readers of the code understand what
is not obvious from reading the code itself. Great comments make the code easier
to reason about for readers with the expected background, and help future
maintainers.

Some practical guidelines for reviewing comments:

1. The code has adequate comments, focused on the **rationale** for any
non-obvious change (the "why"), not a restatement of what the code does
(the "what"), which is typically clear from reading the code itself.
2. Comments do not narrate irrelevant internal implementation details or the
history of how the change was developed (this is common in LLM-assisted
code, e.g. "// changed to use a HashMap" or "// this handles the case
mentioned above"). Such comments become irrelevant as soon as the PR merges.
3. When comments refer to other structs, functions, or modules, they should use
[rustdoc intra-doc links] (e.g. `` [`SessionContext`] ``) rather than plain
text names, so that `cargo doc` link checking ensures the references stay
valid as the code evolves.
4. New public APIs have doc comments, including examples where appropriate
(doc examples are also tested by CI, so they double as test coverage).
5. When documenting modules, functions, or fields, start with simple examples
and intuitive explanations, and optionally add formal, math-like
definitions when necessary. This makes the implementation easier to reason
about.
6. When something is confusing on first read, treat that as a good
opportunity to improve the comments.

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[rustdoc intra-doc links]: https://doc.rust-lang.org/rustdoc/write-documentation/linking-to-items-by-name.html

## Review the Test Coverage

Check that the feature or fix is covered sufficiently with tests (see the
[Testing](testing.md) guide for more details): the PR should include tests for
any new functionality, and a bug fix should include a test that reproduces the
reported problem.

Guidelines for evaluating tests:

1. Prefer `sqllogictest` (`.slt`) tests or DataFrame API tests where
possible, as they exercise **user visible behavior** and are less coupled
to internal implementation details than unit tests.

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We could insert a list item here like:

2. Try to cover edge cases and failure scenarios as well, rather than testing only the common successful path.

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Great idea. Added in c5c2e73

2. Verify tests cover edge cases and common failure scenarios, not just the
common successful path. However, it is NOT necessary to test every possible
error path, especially if it is difficult to trigger or unlikely to occur in
practice.
3. Verify test coverage of changed code using the `codecov` check on the PR,
or by running [`cargo llvm-cov`] locally for an HTML report. Use judgement
about any uncovered lines -- the goal is confidence in the change, not
slavishly hitting some coverage number.
4. Avoid tests with lots of repeated boilerplate: when many tests share
near-identical setup, it is hard to understand what is different
(and thus what is actually being tested) between them. Make the _difference_
between cases obvious.
5. Check that tests assert on specific expected values or plans (e.g. via
`insta` snapshots or `.slt` expected output) rather than merely checking
"no error occurred".

[`cargo llvm-cov`]: https://github.com/taiki-e/cargo-llvm-cov

## Review the Code

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Nit: I general tend to cluster related functions and tests close by in files. Being intentional on placement also helps reducing the chance of "both PRs inserted at the same place" type of conflicts

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It is a good idea -- how would we phrase this as something we could check in a code review? That tests should be close to the code that they are used?


Check that:

1. The code is clear and fits the style of the existing codebase.
2. New APIs are consistent with existing public APIs and patterns; where a
similar mechanism already exists, the PR should extend it rather than
introduce a parallel one.
3. Any changes to the public API follow the [API health policy].
4. The change is appropriately scoped: unrelated refactoring, formatting
churn, or drive-by changes make review longer and are better as separate
PRs.
5. New errors are actionable, mention the offending item, and use
the right error variant (e.g. `plan_err!` for user-triggerable errors vs
`internal_err!` for invariant violations).

[api health policy]: api-health.md

## Review the Performance

Performance is a key DataFusion feature. See [Performance Improvements](index.md#performance-improvements)
for the project policy: an improvement should be "enough" to justify any
added code complexity, and performance PRs should come with benchmark
results.

When reviewing:

1. Find any relevant existing benchmarks and run them against `main`:
the [system level SQL benchmarks] are run with `bench.sh` (see the
[benchmarks README]), and microbenchmarks (e.g. in
`datafusion/functions/benches`) are run with `cargo bench`.
2. Be aware that benchmarking on a machine where other
work is being done will make results hard to reproduce. Prefer a quiet,
dedicated machine and repeated runs.
3. If the PR claims a performance improvement, check that the reported
results are reproducible and that the benchmark exercises the changed
code path.

[system level sql benchmarks]: https://github.com/apache/datafusion/tree/main/benchmarks
[benchmarks readme]: https://github.com/apache/datafusion/blob/main/benchmarks/README.md

## Best Practices for Reviewers

Here are some suggested best practices to follow when reviewing PRs.

### Review Tone: Thank Contributors and Praise Good Work Specifically

Open reviews by thanking the author by name, and when a PR is well done, say
specifically what makes it good -- positive feedback encourages people to keep
contributing and helps them understand what is valued in the project.

### State Approval Conditions Explicitly

If you are not ready to approve, list concretely what you would need to see
before approving (e.g. "benchmark results and an upgrade guide entry") so
the author has a clear path to merge.

### Defer Non-Blocking Work to Follow-On Issues

Explicitly defer non-critical suggestions to a follow-on PR and file
(or ask the author to file) issues for them, so good PRs merge quickly
without scope creep.

Similarly, when a PR mixes refactoring with behavior changes or fixes a narrow
problem with a broad mechanism, ask for it to be split or scoped down rather
than reviewing it as-is.

### Verify Tests Actually Pin the Bug ("Ablation Testing")

For bug fixes, revert the fix locally and check that the new test fails
without it -- several tests have been found during review that pass even
with the fix reverted.

### Narrate What You Verified When Approving

Rather than a bare "LGTM", say what you actually checked ("traced the state
transitions by hand", "confirmed the hasher change cannot affect ordering")
so it is clear what was verified and what was not.

### Invite Additional Committers on Core Changes

For changes to core, widely shared code, leave the PR open for other
committers to look at and cc those who know the area, even after you have
approved.
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:caption: Contributor Guide

contributor-guide/index
contributor-guide/pr_review
contributor-guide/communication
contributor-guide/development_environment
contributor-guide/architecture
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