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https://issues.apache.org/jira/browse/BEAM-13459?focusedWorklogId=702156&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-702156
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ASF GitHub Bot logged work on BEAM-13459:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Dec/21 00:30
Start Date: 30/Dec/21 00:30
Worklog Time Spent: 10m
Work Description: tvalentyn commented on a change in pull request #16229:
URL: https://github.com/apache/beam/pull/16229#discussion_r776532741
##########
File path: sdks/python/apache_beam/options/pipeline_options.py
##########
@@ -715,6 +715,13 @@ def _add_argparse_args(cls, parser):
help='When true, will enable the direct logging of any detected hot '
'keys into Cloud Logging. Warning: this will log the literal key as an
'
'unobfuscated string.')
+ parser.add_argument(
+ '--enable_artifact_caching',
+ default=False,
Review comment:
We can have default as false for one release, announce the flag in
CHANGES.MD then make it true in one of the subsequent releases module any
received feedback.
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Issue Time Tracking
-------------------
Worklog Id: (was: 702156)
Time Spent: 6h 20m (was: 6h 10m)
> Dataflow python runner should cache uploaded artifacts across job runs
> ----------------------------------------------------------------------
>
> Key: BEAM-13459
> URL: https://issues.apache.org/jira/browse/BEAM-13459
> Project: Beam
> Issue Type: Improvement
> Components: runner-dataflow
> Reporter: Steve Niemitz
> Assignee: Steve Niemitz
> Priority: P1
> Time Spent: 6h 20m
> Remaining Estimate: 0h
>
> Similar to how the jvm dataflow runner caches artifacts uploaded to GCS
> across job runs (based on their sha256), the python runner should do the same.
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