qzyu999 opened a new pull request, #438:
URL: https://github.com/apache/fluss-rust/pull/438
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### Purpose
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Linked issue: close #424
<!-- What is the purpose of the change -->
This pull request completes Issue #424 by enabling standard cross-boundary
native Python `async for` language built-ins over the high-performance PyO3
wrapped `LogScanner` stream instance.
### Brief change log
<!-- Please describe the changes made in this pull request and explain how
they address the issue -->
Previously, PyFluss developers had to manually orchestrate `while True`
polling loops over network boundaries using `scanner.poll(timeout)`. This PR
refactors the Python `LogScanner` iterator logic by implementing the async
traversal natively via Rust `__anext__` polling bindings and Python Generator
`__aiter__` context adapters:
- **State Independence**: Refactored `ScannerKind` internals into a safely
buffered `Arc<tokio::sync::Mutex<ScannerState>>`. This guarantees strict
thread-safety and fulfills Rust's lifetime constraints enabling unboxed state
transitions inside the `python_async_runtimes` `tokio` closure.
- **Asynchronous Execution**: Polling evaluates non-blocking loops. PyFluss
automatically maps Arrow records onto the `.await` future yield sequence
smoothly without blocking event cycles or hardware threads directly!
- **Iterable Compliance**: To correctly resolve runtime
`inspect.isasyncgen()` compliance checks within strictly versioned Python 3.12+
engines (such as modern IPython Jupyter servers), `__aiter__` dynamically
generates a properly wrapped coroutine generator dynamically inside the
codebase via `py.run()`. This completely masks the Python ecosystem's iterator
type limitations automatically out-of-the-box.
### Tests
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- [NEW] `test_log_table.py::test_async_iterator`: Integrated a
testcontainers ecosystem confirming zero-configuration iteration capabilities
function natively evaluating `async for record in scanner` perfectly without
pipeline interruptions while yielding thousands of appended instances
sequentially backwards matching existing legacy data frameworks.
### API and Format
<!-- Does this change affect API or storage format -->
Yes, this expands the API natively extending capabilities allowing `async
for` loops gracefully. Existing user logic leveraging explicit implementations
of `.poll_arrow()` or legacy functions are untouched.
### Documentation
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Yes, I updated integration tests acting as live documentation proof
demonstrating the capability natively.
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