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https://issues.apache.org/jira/browse/BEAM-6693?focusedWorklogId=257169&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-257169
]
ASF GitHub Bot logged work on BEAM-6693:
----------------------------------------
Author: ASF GitHub Bot
Created on: 10/Jun/19 20:25
Start Date: 10/Jun/19 20:25
Worklog Time Spent: 10m
Work Description: pabloem commented on pull request #8799: [BEAM-6693]
replace mmh3 with default hash function
URL: https://github.com/apache/beam/pull/8799#discussion_r292175998
##########
File path: sdks/python/apache_beam/transforms/stats_test.py
##########
@@ -266,27 +251,7 @@ def
test_approximate_unique_global_by_error_with_samll_population(self):
>> beam.ApproximateUnique.Globally(error=est_err))
assert_that(result, equal_to([actual_count]),
- label='assert:global_by_error_with_samll_population')
- pipeline.run()
-
- def test_approximate_unique_global_by_error_with_big_population(self):
Review comment:
Why are you removing this test?
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Issue Time Tracking
-------------------
Worklog Id: (was: 257169)
Time Spent: 11h 40m (was: 11.5h)
> ApproximateUnique transform for Python SDK
> ------------------------------------------
>
> Key: BEAM-6693
> URL: https://issues.apache.org/jira/browse/BEAM-6693
> Project: Beam
> Issue Type: New Feature
> Components: sdk-py-core
> Reporter: Ahmet Altay
> Assignee: Hannah Jiang
> Priority: Minor
> Fix For: 2.14.0
>
> Time Spent: 11h 40m
> Remaining Estimate: 0h
>
> Add a PTransform for estimating the number of distinct elements in a
> PCollection and the number of distinct values associated with each key in a
> PCollection KVs.
> it should offer the same API as its Java counterpart:
> https://github.com/apache/beam/blob/11a977b8b26eff2274d706541127c19dc93131a2/sdks/java/core/src/main/java/org/apache/beam/sdk/transforms/ApproximateUnique.java
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