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https://issues.apache.org/jira/browse/BEAM-10475?focusedWorklogId=501712&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-501712
]
ASF GitHub Bot logged work on BEAM-10475:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 17/Oct/20 00:44
Start Date: 17/Oct/20 00:44
Worklog Time Spent: 10m
Work Description: nehsyc commented on a change in pull request #13069:
URL: https://github.com/apache/beam/pull/13069#discussion_r506773486
##########
File path: sdks/python/apache_beam/utils/sharded_key.py
##########
@@ -0,0 +1,62 @@
+#
+# 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.
+#
+
+# pytype: skip-file
+
+from __future__ import absolute_import
+
+
+class ShardedKey(object):
+ """
+ A sharded key consisting of a user key and an opaque shard id represented by
+ bytes.
+
+ Attributes:
+ key: The user key.
+ shard_id: An opaque byte string that uniquely represents a shard of the
key.
+ """
+ def __init__(
+ self,
+ key,
+ shard_id=b'', # type: bytes
+ ):
+ # type: (...) -> None
+ assert shard_id is not None
+ self._key = key
+ self._shard_id = shard_id
+
+ @property
+ def key(self):
+ return self._key
+
+ def __repr__(self):
+ return '(%s, %s)' % (repr(self.key), self._shard_id)
+
+ def __eq__(self, other):
+ return (
+ type(self) == type(other) and self.key == other.key and
+ self._shard_id == other._shard_id)
+
+ def __ne__(self, other):
+ # TODO(BEAM-5949): Needed for Python 2 compatibility.
Review comment:
Done.
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Issue Time Tracking
-------------------
Worklog Id: (was: 501712)
Time Spent: 12h 40m (was: 12.5h)
> 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: 12h 40m
> 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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