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https://issues.apache.org/jira/browse/BEAM-10475?focusedWorklogId=521442&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-521442
]
ASF GitHub Bot logged work on BEAM-10475:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 07/Dec/20 23:12
Start Date: 07/Dec/20 23:12
Worklog Time Spent: 10m
Work Description: boyuanzz commented on a change in pull request #13493:
URL: https://github.com/apache/beam/pull/13493#discussion_r537903634
##########
File path: sdks/python/apache_beam/typehints/sharded_key_type.py
##########
@@ -25,8 +25,12 @@
from apache_beam.typehints.typehints import match_type_variables
from apache_beam.utils.sharded_key import ShardedKey
+from future.utils import with_metaclass
-class ShardedKeyTypeConstraint(typehints.TypeConstraint):
+
+class ShardedKeyTypeConstraint(with_metaclass(typehints.GetitemConstructor,
Review comment:
What kind of lint errors are you getting?
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Issue Time Tracking
-------------------
Worklog Id: (was: 521442)
Time Spent: 22h 50m (was: 22h 40m)
> GroupIntoBatches with Runner-determined Sharding
> ------------------------------------------------
>
> Key: BEAM-10475
> URL: https://issues.apache.org/jira/browse/BEAM-10475
> Project: Beam
> Issue Type: Improvement
> Components: runner-dataflow
> Reporter: Siyuan Chen
> Assignee: Siyuan Chen
> Priority: P2
> Labels: GCP, performance
> Time Spent: 22h 50m
> Remaining Estimate: 0h
>
> [https://s.apache.org/sharded-group-into-batches|https://s.apache.org/sharded-group-into-batches__]
> Improve the existing Beam transform, GroupIntoBatches, to allow runners to
> choose different sharding strategies depending on how the data needs to be
> grouped. The goal is to help with the situation where the elements to process
> need to be co-located to reduce the overhead that would otherwise be incurred
> per element, while not losing the ability to scale the parallelism. The
> essential idea is to build a stateful DoFn with shardable states.
>
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