[
https://issues.apache.org/jira/browse/BEAM-11644?focusedWorklogId=536562&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-536562
]
ASF GitHub Bot logged work on BEAM-11644:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 15/Jan/21 17:43
Start Date: 15/Jan/21 17:43
Worklog Time Spent: 10m
Work Description: yifanmai opened a new pull request #13763:
URL: https://github.com/apache/beam/pull/13763
Previously combiner packing was enabled by default in portable runner and
Dataflow runner. This change makes it disabled by default unless enabled using
the `pre_optimize` option.
Also fix an indentation bug that prevented optimizations from being run in
`portable_runner` if `pre_optimize` was set to `default` or `all`.
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 536562)
Remaining Estimate: 0h
Time Spent: 10m
> translations.pack_combiners optimizer causes breaking change to metrics API
> ---------------------------------------------------------------------------
>
> Key: BEAM-11644
> URL: https://issues.apache.org/jira/browse/BEAM-11644
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Affects Versions: 2.27.0
> Reporter: Yifan Mai
> Priority: P2
> Time Spent: 10m
> Remaining Estimate: 0h
>
> The translations.pack_combiners optimizer causes a breaking change in the
> public metrics API. The issue arises because metrics are keyed and queryable
> by step name, and the step name can change after combiner packing. Suppose we
> have a pipeline that looks like `pipeline | CombinePerKey(combinefn_1);
> pipeline | CombinePerKey(combinefn_2)` and both combinefn_1 and combinefn_2
> increment the same counter per input element. Previously, the result would
> have two counters, one each for step combinefn_1 and combinefn_2; both will
> have value num_input_elements. After combiner packing, the result will have
> one counter for Packed[combinefn_1, combinefn] with value 2 *
> num_input_elements.
> Unfortunately there is no easy fix for this because the runner has to somehow
> be aware that a step is a packed step and use the appropriate metrics
> container for the sub-step.
> The short term workaround is to (1) add a note for 2.27 under known issues
> and (2) make this phase opt-in in 2.28.
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