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https://issues.apache.org/jira/browse/BEAM-7860?focusedWorklogId=288360&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-288360
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ASF GitHub Bot logged work on BEAM-7860:
----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Aug/19 02:15
Start Date: 03/Aug/19 02:15
Worklog Time Spent: 10m
Work Description: udim commented on pull request #9240: [BEAM-7860]
Python Datastore: fix key sort order
URL: https://github.com/apache/beam/pull/9240
This is a regression from the v1 client.
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Issue Time Tracking
-------------------
Worklog Id: (was: 288360)
Time Spent: 10m
Remaining Estimate: 0h
> v1new ReadFromDatastore returns duplicates if keys are of mixed types
> ---------------------------------------------------------------------
>
> Key: BEAM-7860
> URL: https://issues.apache.org/jira/browse/BEAM-7860
> Project: Beam
> Issue Type: Bug
> Components: io-python-gcp
> Affects Versions: 2.13.0
> Environment: Python 2.7
> Python 3.7
> Reporter: Niels Stender
> Assignee: Udi Meiri
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> In the presence of mixed type keys, v1new ReadFromDatastore may return
> duplicate items. The attached example returns 4 records, not the expected 3.
>
> {code:java}
> // code placeholder
> from __future__ import unicode_literals
> import apache_beam as beam
> from apache_beam.io.gcp.datastore.v1new.types import Key, Entity, Query
> from apache_beam.io.gcp.datastore.v1new import datastoreio
> config = dict(project='your-google-project', namespace='test')
> def test_mixed():
> keys = [
> Key(['mixed', '10038260-iperm_eservice'], **config),
> Key(['mixed', 4812224868188160], **config),
> Key(['mixed', '99152975-pointshop'], **config)
> ]
> entities = map(lambda key: Entity(key=key), keys)
> with beam.Pipeline() as p:
> (p
> | beam.Create(entities)
> | datastoreio.WriteToDatastore(project=config['project'])
> )
> query = Query(kind='mixed', **config)
> with beam.Pipeline() as p:
> (p
> | datastoreio.ReadFromDatastore(query=query, num_splits=4)
> | beam.io.WriteToText('tmp.txt', num_shards=1,
> shard_name_template='')
> )
> items = open('tmp.txt').read().strip().split('\n')
> assert len(items) == 3, 'incorrect number of items'
> {code}
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