auroflow opened a new pull request, #28843:
URL: https://github.com/apache/flink/pull/28843
## What is the purpose of the change
This pull request completes the `DataType` API for the PyFlink DataFrame
API. It provides the scalar, temporal, and composite data types required by
subsequent DataFrame operations.
## Brief change log
- Add scalar, temporal, and composite `DataType` factory methods.
- Add nullability modifiers and a readable representation for `DataType`.
- Add internal helpers for inferring data types from Python type hints and
parsing SQL type strings.
- Preserve timestamp precision and support `NULL` when converting Java data
types to Python data types.
- Extend the DataFrame API reference documentation.
- Add focused tests for factories, nullability, nested types, type
inference, SQL parsing, equality, hashing, and representation.
## Verifying this change
This change added tests and can be verified as follows:
- Ran the complete DataFrame test suite:
- `.venv/bin/python -m pytest -q flink-python/pyflink/dataframe/tests`
- Result: `94 passed`
- Ran flake8 checks for all changed Python files.
- Compiled all changed Python files with `py_compile`.
- Ran `mvn -T 12 spotless:check` through the pre-push hook.
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): no
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: yes
- The serializers: no
- The runtime per-record code paths (performance sensitive): no
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Kubernetes/Yarn, ZooKeeper: no
- The S3 file system connector: no
## Documentation
- Does this pull request introduce a new feature? yes
- If yes, how is the feature documented? docs and Python API docstrings
---
##### Was generative AI tooling used to co-author this PR?
- [X] Yes (OpenAI Codex)
Generated-by: OpenAI Codex (GPT-5.6 Sol)
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