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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=338270&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-338270
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Nov/19 18:19
Start Date: 04/Nov/19 18:19
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on pull request #9720:
[BEAM-8335] Add initial modules for interactive streaming support
URL: https://github.com/apache/beam/pull/9720#discussion_r342196995
##########
File path:
sdks/python/apache_beam/runners/interactive/caching/streaming_cache_test.py
##########
@@ -0,0 +1,167 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from __future__ import absolute_import
+
+import unittest
+
+from google.protobuf import timestamp_pb2
+
+from apache_beam import coders
+from apache_beam.portability.api.beam_interactive_api_pb2 import
InteractiveStreamHeader
+from apache_beam.portability.api.beam_interactive_api_pb2 import
InteractiveStreamRecord
+from apache_beam.portability.api.beam_runner_api_pb2 import TestStreamPayload
+from apache_beam.runners.interactive.caching.streaming_cache import
StreamingCache
+from apache_beam.utils import timestamp
+
+
+def to_timestamp_proto(timestamp_secs):
+ """Converts seconds since epoch to a google.protobuf.Timestamp.
+ """
+ seconds = int(timestamp_secs)
+ nanos = int((timestamp_secs - seconds) * 10**9)
+ return timestamp_pb2.Timestamp(seconds=seconds, nanos=nanos)
+
+
+class InMemoryReader(object):
+ def __init__(self, tag=None):
+ self._records = [InteractiveStreamHeader(tag=tag).SerializeToString()]
Review comment:
The code for the underlying PCollection Cache isn't merged yet, and I
haven't decided if I want to create a new subclass or use it directly. This
code assumes that the PCollection cache will just writes strings to a file. I
can change it later once the PCollection Cache code is merged.
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Issue Time Tracking
-------------------
Worklog Id: (was: 338270)
Time Spent: 16h (was: 15h 50m)
> 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: 16h
> 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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