[Bug]: [Python] DirectRunner Prism fallback to BundleBasedDirectRunner fails with NotImplementedError on batched DoFns (WriteToParquet)
维护者通常 1 天内回复
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- 难度
- 4/5
- 预计耗时
- 3-5 天
- 新手友好度
- 48/100
- Issue 类型
- 缺陷
- 描述清晰度
- 基本清楚
- 活跃度
- 活跃
- 技术栈
- python
调研方向
Start in sdks/python/apache_beam/runners/direct/direct_runner.py, especially the SwitchingDirectRunner fallback around lines 141–146 and 204–230; compare its behavior with FnApiRunner for process_batch transforms. Reproduce with the provided WriteToParquet pipeline, then check relevant direct runner tests. Done means the fallback runs batched DoFns successfully without breaking the existing runner paths.
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描述
What happened?
When running a Python or Beam YAML pipeline with the default DirectRunner (SwitchingDirectRunner), if PrismRunner is bypassed (for example when the pipeline contains an external cross-language transform per direct_runner.py:141) or cannot start (offline environment / restricted container where the Prism binary cannot be downloaded or executed), SwitchingDirectRunner falls back to BundleBasedDirectRunner.
If the pipeline includes WriteToParquet (or any transform using DoFn.process_batch), execution then fails with NotImplementedError, even though the in-process FnApiRunner executes the exact same pipeline cleanly.
Minimal reproducer (forcing the non-Prism fallback path):
import tempfile, apache_beam as beam, pyarrow as pa
schema = pa.schema([('id', pa.int64()), ('name', pa.string())])
with tempfile.TemporaryDirectory() as d:
with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
(p
| beam.Create([{'id': 1, 'name': 'Ada'}])
| beam.io.WriteToParquet(f'{d}/out', schema=schema))
Cause
In sdks/python/apache_beam/runners/direct/direct_runner.py (lines 141–146 and 204–230), SwitchingDirectRunner unconditionally falls back to BundleBasedDirectRunner(), which does not implement process_batch for batched PyArrow DoFns (FnApiRunner does). Checking for process_batch transforms (or routing batch pipelines without TestStream/unbounded state to FnApiRunner when Prism is unavailable) avoids the failure.
Issue Priority
Priority: 2 (default / most bugs should be filed as P2)
Issue Components
- Component: Python SDK
- Component: Java SDK
- Component: Go SDK
- Component: Typescript SDK
- Component: IO connector
- Component: Beam YAML
- Component: Beam examples
- Component: Beam playground
- Component: Beam katas
- Component: Website
- Component: Infrastructure
- Component: Spark Runner
- Component: Flink Runner
- Component: Prism Runner
- Component: Hazelcast Jet Runner
- Component: Google Cloud Dataflow Runner
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