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https://issues.apache.org/jira/browse/BEAM-5457?focusedWorklogId=151089&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-151089
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ASF GitHub Bot logged work on BEAM-5457:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Oct/18 09:03
Start Date: 04/Oct/18 09:03
Worklog Time Spent: 10m
Work Description: joar commented on a change in pull request #6463:
[BEAM-5457][BEAM-1909] Make BigQuerySource work for the EU
URL: https://github.com/apache/beam/pull/6463#discussion_r222580790
##########
File path: sdks/python/apache_beam/io/gcp/bigquery.py
##########
@@ -160,6 +160,8 @@
'WriteToBigQuery',
]
+logger = logging.getLogger(__name__)
Review comment:
I will comply.
If you have any resource on the motivation behind it (other than
consistency) I'd appreciate it.
<sub>EDIT: Reworded<sub>
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Issue Time Tracking
-------------------
Worklog Id: (was: 151089)
Time Spent: 2h 10m (was: 2h)
> BigQuerySource(query=...) in DirectRunner creates temp dataset in the wrong
> location
> ------------------------------------------------------------------------------------
>
> Key: BEAM-5457
> URL: https://issues.apache.org/jira/browse/BEAM-5457
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Affects Versions: 2.6.0
> Reporter: Joar Wandborg
> Assignee: Chamikara Jayalath
> Priority: Major
> Time Spent: 2h 10m
> Remaining Estimate: 0h
>
> I'm in the EU, if I have a
>
> {code:java}
> BigQuerySource(
> query="SELECT x, y FROM `my-other-project.mydataset.my_european_table`",
> project="myproject",
> use_standard_sql=True
> ){code}
> And then run the Pipeline through the DirectRunner I get the following
> warning and error:
> {noformat}
> 2018-09-21 11:39:52,620 WARNING root create_temporary_dataset
> Dataset myproject:temp_dataset_0bbb28f014a24225b668a67341f4f71e does not
> exist so we will create it as temporary with location=None {noformat}
> {noformat}
> HttpBadRequestError: HttpError accessing
> <https://www.googleapis.com/bigquery/v2/projects/myproject/queries/xyz123?alt=json&maxResults=10000>:
> response: <{'status': '400', 'content-length': '354', 'x-xss-protection':
> '1; mode=block', 'x-content-type-options': 'nosniff', 'transfer-encoding':
> 'chunked', 'vary': 'Origin, X-Origin, Referer', 'server': 'ESF',
> '-content-encoding': 'gzip', 'cache-control': 'private', 'date': 'Fri, 21 Sep
> 2018 09:39:55 GMT', 'x-frame-options': 'SAMEORIGIN', 'alt-svc': 'quic=":443";
> ma=2592000; v="44,43,39,35"', 'content-type': 'application/json;
> charset=UTF-8'}>, content <{
> "error": {
> "code": 400,
> "message": "Cannot read and write in different locations: source: EU,
> destination: US",
> "errors": [
> {
> "message": "Cannot read and write in different locations: source: EU,
> destination: US",
> "domain": "global",
> "reason": "invalid"
> }
> ],
> "status": "INVALID_ARGUMENT"
> }
> {noformat}
> There's a TODO in the code that looks very related:
> [https://github.com/apache/beam/blob/d691a86b8fd082efd0fd71c3cb58b7d61442717d/sdks/python/apache_beam/io/gcp/bigquery.py#L665|https://github.com/apache/beam/blob/d691a86b8fd082efd0fd71c3cb58b7d61442717d/sdks/python/apache_beam/io/gcp/bigquery.py#L665,]
>
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