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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=397146&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-397146
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Mar/20 00:23
Start Date: 04/Mar/20 00:23
Worklog Time Spent: 10m
Work Description: robertwb commented on pull request #11005: [BEAM-8335]
Modify the StreamingCache to subclass the CacheManager
URL: https://github.com/apache/beam/pull/11005#discussion_r387366883
##########
File path:
sdks/python/apache_beam/runners/interactive/caching/streaming_cache.py
##########
@@ -19,15 +19,298 @@
from __future__ import absolute_import
+import itertools
+import os
+import shutil
+import tempfile
+import time
+
+import apache_beam as beam
+from apache_beam.portability.api.beam_interactive_api_pb2 import
TestStreamFileHeader
+from apache_beam.portability.api.beam_interactive_api_pb2 import
TestStreamFileRecord
from apache_beam.portability.api.beam_runner_api_pb2 import TestStreamPayload
+from apache_beam.runners.interactive.cache_manager import CacheManager
+from apache_beam.runners.interactive.cache_manager import
SafeFastPrimitivesCoder
+from apache_beam.testing.test_stream import ReverseTestStream
from apache_beam.utils import timestamp
-class StreamingCache(object):
+class StreamingCacheSink(beam.PTransform):
+ """A PTransform that writes TestStreamFile(Header|Records)s to file.
+
+ This transform takes in an arbitrary element stream and writes the
best-effort
Review comment:
Why is it best-effort?
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Issue Time Tracking
-------------------
Worklog Id: (was: 397146)
Time Spent: 86h (was: 85h 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: 86h
> 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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