[
https://issues.apache.org/jira/browse/BEAM-11277?focusedWorklogId=575148&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-575148
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ASF GitHub Bot logged work on BEAM-11277:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 31/Mar/21 21:24
Start Date: 31/Mar/21 21:24
Worklog Time Spent: 10m
Work Description: chunyang opened a new pull request #14394:
URL: https://github.com/apache/beam/pull/14394
A followup to #14113 to improve the schema equality checking.
The check in the previous PR has a high false positive rate for detecting
whether a schema update job needs to be run because a schema update job is
created even if the field ordering is different.
This PR adds a schema equivalence check with more specificity. Now we can do
a field-order insensitive comparison on the schema and only run a schema update
job when the fields themselves are different.
------------------------
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<thead>
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<th>Lang</th>
<th>SDK</th>
<th>ULR</th>
<th>Dataflow</th>
<th>Flink</th>
<th>Samza</th>
<th>Spark</th>
<th>Twister2</th>
</tr>
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</table>
Pre-Commit Tests Status (on master branch)
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Issue Time Tracking
-------------------
Worklog Id: (was: 575148)
Time Spent: 8.5h (was: 8h 20m)
> WriteToBigQuery with batch file loads does not respect schema update options
> when there are multiple load jobs
> --------------------------------------------------------------------------------------------------------------
>
> Key: BEAM-11277
> URL: https://issues.apache.org/jira/browse/BEAM-11277
> Project: Beam
> Issue Type: Bug
> Components: io-py-gcp, runner-dataflow
> Affects Versions: 2.21.0, 2.24.0, 2.25.0, 2.28.0
> Reporter: Chun Yang
> Assignee: Chun Yang
> Priority: P2
> Attachments: repro.py
>
> Time Spent: 8.5h
> Remaining Estimate: 0h
>
> When multiple load jobs are needed to write data to a destination table,
> e.g., when the data is spread over more than
> [10,000|https://cloud.google.com/bigquery/quotas#load_jobs] URIs,
> WriteToBigQuery in FILE_LOADS mode will write data into temporary tables and
> then copy the temporary tables into the destination table.
> When WriteToBigQuery is used with
> {{write_disposition=BigQueryDisposition.WRITE_APPEND}} and
> {{additional_bq_parameters=\{"schemaUpdateOptions":
> ["ALLOW_FIELD_ADDITION"]\}}}, the schema update options are not respected by
> the jobs that copy data from temporary tables into the destination table. The
> effect is that for small jobs (<10K source URIs), schema field addition is
> allowed, however, if the job is scaled to >10K source URIs, then schema field
> addition will fail with an error such as:
> {code:none}Provided Schema does not match Table project:dataset.table. Cannot
> add fields (field: field_name){code}
> I've been able to reproduce this issue with Python 3.7 and DataflowRunner on
> Beam 2.21.0 and Beam 2.25.0. I could not reproduce the issue with
> DirectRunner. A minimal reproducible example is attached.
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