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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=345461&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-345461
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 18/Nov/19 17:54
Start Date: 18/Nov/19 17:54
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on pull request #9953: DO NOT
MERGE [BEAM-8335] Adds support for multi-output TestStream
URL: https://github.com/apache/beam/pull/9953#discussion_r347523200
##########
File path: sdks/python/apache_beam/testing/test_stream.py
##########
@@ -163,45 +167,71 @@ class TestStream(PTransform):
"""Test stream that generates events on an unbounded PCollection of elements.
Each event emits elements, advances the watermark or advances the processing
- time. After all of the specified elements are emitted, ceases to produce
+ time. After all of the specified elements are emitted, ceases to produce
output.
"""
def __init__(self, coder=coders.FastPrimitivesCoder(), events=()):
super(TestStream, self).__init__()
assert coder is not None
self.coder = coder
- self.current_watermark = timestamp.MIN_TIMESTAMP
- self.events = list(events)
+ self.watermarks = {None: timestamp.MIN_TIMESTAMP}
+ self._events = list(events)
+ self.output_tags = set()
def get_windowing(self, unused_inputs):
return core.Windowing(window.GlobalWindows())
def expand(self, pbegin):
assert isinstance(pbegin, pvalue.PBegin)
self.pipeline = pbegin.pipeline
- return pvalue.PCollection(self.pipeline, is_bounded=False)
- def _infer_output_coder(self, input_type=None, input_coder=None):
- return self.coder
+ # This multiplexing the multiple output PCollections.
+ def mux(event):
+ if event.tag:
+ yield pvalue.TaggedOutput(event.tag, event)
+ else:
+ yield event
+ mux_output = (pbegin
+ | _TestStream(self.output_tags, events=self._events)
+ | 'TestStream Multiplexer' >> beam.ParDo(mux).with_outputs())
Review comment:
Nope! The DoOutputsTuple dynamically adds the outputs when you use the [ ]
operator.
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Issue Time Tracking
-------------------
Worklog Id: (was: 345461)
Time Spent: 31h 10m (was: 31h)
> Add streaming support to Interactive Beam
> -----------------------------------------
>
> Key: BEAM-8335
> URL: https://issues.apache.org/jira/browse/BEAM-8335
> Project: Beam
> Issue Type: Improvement
> Components: runner-py-interactive
> Reporter: Sam Rohde
> Assignee: Sam Rohde
> Priority: Major
> Time Spent: 31h 10m
> Remaining Estimate: 0h
>
> This issue tracks the work items to introduce streaming support to the
> Interactive Beam experience. This will allow users to:
> * Write and run a streaming job in IPython
> * Automatically cache records from unbounded sources
> * Add a replay experience that replays all cached records to simulate the
> original pipeline execution
> * Add controls to play/pause/stop/step individual elements from the cached
> records
> * Add ability to inspect/visualize unbounded PCollections
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