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https://issues.apache.org/jira/browse/BEAM-13080?focusedWorklogId=677949&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-677949
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ASF GitHub Bot logged work on BEAM-13080:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Nov/21 23:30
Start Date: 05/Nov/21 23:30
Worklog Time Spent: 10m
Work Description: apilloud commented on a change in pull request #15912:
URL: https://github.com/apache/beam/pull/15912#discussion_r744024480
##########
File path: sdks/python/apache_beam/transforms/util.py
##########
@@ -725,7 +725,7 @@ class Reshuffle(PTransform):
"""
# We use 32-bit integer as the default number of buckets.
- _DEFAULT_NUM_BUCKETS = 1 << 32
+ _DEFAULT_NUM_BUCKETS = (1 << 32) - 1
Review comment:
From a chat discussion, I think either of these are equivalent:
`randint(0, (1 << 32) - 2)` or `randrange(0, (1 << 32)-1)`
`randint(0, (1 << 32) - 2)` -> `randrange(0, (1 << 32)-1)` ->
`_randbelow((1<<32)-1)` -> `getrandbits(32)`
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Issue Time Tracking
-------------------
Worklog Id: (was: 677949)
Time Spent: 4h 50m (was: 4h 40m)
> Specify numBuckets in Python Reshuffle
> --------------------------------------
>
> Key: BEAM-13080
> URL: https://issues.apache.org/jira/browse/BEAM-13080
> Project: Beam
> Issue Type: New Feature
> Components: sdk-py-core
> Reporter: Inigo San Jose Visiers
> Priority: P2
> Time Spent: 4h 50m
> Remaining Estimate: 0h
>
> While Java has `withNumBuckets` to set the amount of generated keys, Python
> doesn't.
> This is particularly need when your input data is not so high and you need to
> take advantage for DoFn methods `start / finish bundle`.
> https://beam.apache.org/releases/javadoc/2.33.0/org/apache/beam/sdk/transforms/Reshuffle.ViaRandomKey.html#withNumBuckets-java.lang.Integer-
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