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https://issues.apache.org/jira/browse/BEAM-6067?focusedWorklogId=171115&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-171115
]
ASF GitHub Bot logged work on BEAM-6067:
----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Nov/18 16:31
Start Date: 30/Nov/18 16:31
Worklog Time Spent: 10m
Work Description: robertwb commented on a change in pull request #7081:
[BEAM-6067] In Python SDK, specify pipeline_proto_coder_id property in
non-Beam-standard CloudObject coders
URL: https://github.com/apache/beam/pull/7081#discussion_r237920578
##########
File path: sdks/python/apache_beam/runners/dataflow/dataflow_runner.py
##########
@@ -441,22 +443,25 @@ def _get_side_input_encoding(self, input_encoding):
def _get_encoded_output_coder(self, transform_node, window_value=True):
"""Returns the cloud encoding of the coder for the output of a
transform."""
+ from apache_beam.runners.dataflow.internal import apiclient
if (len(transform_node.outputs) == 1
and transform_node.outputs[None].element_type is not None):
# TODO(robertwb): Handle type hints for multi-output transforms.
element_type = transform_node.outputs[None].element_type
+ use_fnapi =
apiclient._use_fnapi(transform_node.outputs[None].pipeline._options)
else:
# TODO(silviuc): Remove this branch (and assert) when typehints are
# propagated everywhere. Returning an 'Any' as type hint will trigger
# usage of the fallback coder (i.e., cPickler).
element_type = typehints.Any
+ use_fnapi = False # TODO(chambers): XXX do the right thing for this
Review comment:
I'd like to understand why this particular test failed, and not others,
which may be indicative of other problems, rather than adding a bunch of code
to work around it, but at this point we probably shouldn't be blocking on that.
Let's just rename this something like emit_coder_ids and get it in.
(I also hope this code in this whole file live on much longer.)
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Issue Time Tracking
-------------------
Worklog Id: (was: 171115)
Time Spent: 5h 50m (was: 5h 40m)
Remaining Estimate: 162h 10m (was: 162h 20m)
> Dataflow runner should include portable pipeline coder id in CloudObject
> coder representation
> ---------------------------------------------------------------------------------------------
>
> Key: BEAM-6067
> URL: https://issues.apache.org/jira/browse/BEAM-6067
> Project: Beam
> Issue Type: Improvement
> Components: beam-model
> Reporter: Craig Chambers
> Assignee: Craig Chambers
> Priority: Major
> Original Estimate: 168h
> Time Spent: 5h 50m
> Remaining Estimate: 162h 10m
>
> When translating a BeamJava Coder into the DataflowRunner's CloudObject
> property map, include a property that specifies the id in the Beam model
> Pipeline coders map corresponding to that Coder. This will allow the
> DataflowRunner to reference the corresponding Beam coder in the FnAPI
> processing bundle.
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