damccorm commented on code in PR #19266:
URL: https://github.com/apache/beam/pull/19266#discussion_r890213535
##########
sdks/python/apache_beam/runners/dataflow/dataflow_job_service.py:
##########
@@ -34,31 +32,22 @@ def _invoke_runner(self):
"""Actually calls Dataflow and waits for completion.
"""
runner = dataflow_runner.DataflowRunner()
- result = runner.run_pipeline(
+ self.result = runner.run_pipeline(
None, self.pipeline_options(), self._pipeline_proto)
# Prefer this to result.wait_until_finish() to get state updates
# and avoid creating an extra thread (which also messes with logging).
dataflow_runner.DataflowRunner.poll_for_job_completion(
runner,
- result,
+ self.result,
None,
lambda dataflow_state: self.set_state(
portable_runner.PipelineResult.pipeline_state_to_runner_api_state(
- result.api_jobstate_to_pipeline_state(dataflow_state))))
- return result
+ self.result.api_jobstate_to_pipeline_state(dataflow_state))))
+ return self.result
- def pipeline_options(self):
- def from_urn(key):
- assert key.startswith('beam:option:')
- assert key.endswith(':v1')
- return key[12:-3]
-
- return pipeline_options.PipelineOptions(
- **{
- from_urn(key): value
- for (key, value
- ) in job_utils.struct_to_dict(self._pipeline_options).items()
- })
+ def cancel(self):
+ if not self.is_terminal_state(self.state):
+ self.result.cancel()
Review Comment:
Are we using this function anywhere/is there a reason to pull this out?
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