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https://issues.apache.org/jira/browse/BEAM-9454?focusedWorklogId=405045&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-405045
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ASF GitHub Bot logged work on BEAM-9454:
----------------------------------------
Author: ASF GitHub Bot
Created on: 17/Mar/20 23:35
Start Date: 17/Mar/20 23:35
Worklog Time Spent: 10m
Work Description: boyuanzz commented on pull request #11060: [BEAM-9454]
Create Deduplication transform based on user timer/state
URL: https://github.com/apache/beam/pull/11060#discussion_r394029968
##########
File path: sdks/python/apache_beam/transforms/deduplicate.py
##########
@@ -0,0 +1,108 @@
+#
+# 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
+
+"""a collection of ptransforms for deduplicating elements."""
+
+from __future__ import absolute_import
+from __future__ import division
+
+from apache_beam.coders.coders import BooleanCoder
+from apache_beam.transforms import ptransform
+from apache_beam.transforms import userstate
+from apache_beam.transforms.core import DoFn
+from apache_beam.transforms.core import Map
+from apache_beam.transforms.core import ParDo
+from apache_beam.transforms.timeutil import TimeDomain
+from apache_beam.typehints import trivial_inference
+from apache_beam.utils.timestamp import Duration
+from apache_beam.utils.timestamp import Timestamp
+
+__all__ = [
+ 'DeduplictaionWithinDuration',
+]
+
+
+class DeduplictaionWithinDuration(ptransform.PTransform):
+ """ A PTransform which deduplicates input records over a time domain and
+ threshold. Values in different windows will NOT be considered duplicates of
+ each other. Deduplication is best effort.
+
+ The durations specified may impose memory and/or storage requirements within
+ a runner and care might need to be used to ensure that the deduplication time
+ limit is long enough to remove duplicates but short enough to not cause
+ performance problems within a runner. Each runner may provide an optimized
+ implementation of their choice using the deduplication time domain and
+ threshold specified.
+
+ Does not preserve any order the input PCollection might have had.
+ """
+ def __init__(
+ self, time_domain=TimeDomain.REAL_TIME, duration=Duration(10 * 60)):
+ if time_domain not in (TimeDomain.WATERMARK, TimeDomain.REAL_TIME):
+ raise ValueError(
+ 'Unsupported TimeDomain: %r. DeduplictaionWithinDuration'
+ 'expects TimeDomain.WATERMARK or TimeDomain.REAL_TIME' %
+ (time_domain, ))
+ self.time_domain = time_domain
+ self.duration = duration
+
+ def _create_deduplicate_fn(self):
+ timer_spec = userstate.TimerSpec('expiry_timer', self.time_domain)
+ state_spec = userstate.BagStateSpec('seen', BooleanCoder())
+ duration = self.duration
+ domain = self.time_domain
+
+ class DeduplicationFn(DoFn):
+ def process(
+ self,
+ element,
+ ts=DoFn.TimestampParam,
+ seen_state=DoFn.StateParam(state_spec),
+ expiry_timer=DoFn.TimerParam(timer_spec)):
+ if True in seen_state.read():
+ return
+
+ if domain == TimeDomain.REAL_TIME:
+ expiry_timer.set(Timestamp.now() + duration)
+ elif domain == TimeDomain.WATERMARK:
+ expiry_timer.set(ts + duration)
Review comment:
Are you talking about the watermark case? yes the timer will be fires when
the watermark advance to 11 if the timer is set by the value with timestamp 1
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Issue Time Tracking
-------------------
Worklog Id: (was: 405045)
Time Spent: 3h 40m (was: 3.5h)
> Add Deduplication transform for SDF
> -----------------------------------
>
> Key: BEAM-9454
> URL: https://issues.apache.org/jira/browse/BEAM-9454
> Project: Beam
> Issue Type: New Feature
> Components: sdk-java-core, sdk-py-core
> Reporter: Boyuan Zhang
> Priority: Major
> Time Spent: 3h 40m
> Remaining Estimate: 0h
>
> When SDF is used as a source-like operation, it's necessary to provide a
> default Deduplication transform for the SDF user to deduplicate values by
> certain unique id.
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