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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2019/10/22 19:35:00 UTC
[jira] [Work logged] (BEAM-8458) BigQueryIO.Read needs permissions
to create datasets to run queries
[ https://issues.apache.org/jira/browse/BEAM-8458?focusedWorklogId=332166&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-332166 ]
ASF GitHub Bot logged work on BEAM-8458:
----------------------------------------
Author: ASF GitHub Bot
Created on: 22/Oct/19 19:34
Start Date: 22/Oct/19 19:34
Worklog Time Spent: 10m
Work Description: iht commented on pull request #9852: [BEAM-8458] Add option to set temp dataset in BigQueryIO.Read
URL: https://github.com/apache/beam/pull/9852
When using fromQuery, BigQueryIO creates a temp dataset to store the results of
the query. Therefore, Beam requires permissions to create datasets just to be
able to run a query. With this option, BigQueryIO can write the temp results of
the query to a pre-existing dataset, and therefore it only needs permissions to
run queries and create tables to be able to use from Query.
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 332166)
Remaining Estimate: 0h
Time Spent: 10m
> BigQueryIO.Read needs permissions to create datasets to run queries
> -------------------------------------------------------------------
>
> Key: BEAM-8458
> URL: https://issues.apache.org/jira/browse/BEAM-8458
> Project: Beam
> Issue Type: Bug
> Components: io-java-gcp
> Reporter: Israel Herraiz
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> When using `fromQuery`, BigQueryIO creates a temp dataset to store the results of the query.
> Therefore, Beam requires permissions to create datasets just to be able to run a query. In practice, this means that Beam requires the role bigQuery.User just to run queries, whereas if you use `from` (to read from a table), the role bigQuery.jobUser suffices.
> BigQueryIO.Read should have an option to set an existing dataset to write the temp results of
> a query, so it would be enough with having the role bigQuery.jobUser.
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