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ASF GitHub Bot logged work on BEAM-7742:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Aug/19 20:24
Start Date: 04/Aug/19 20:24
Worklog Time Spent: 10m
Work Description: ttanay commented on pull request #9242: [BEAM-7742]
Partition files in BQFL to cater to quotas & limits
URL: https://github.com/apache/beam/pull/9242
Partition files written based on:
1. Total size of load job
2. Max files per load job
This ensures that all load jobs are triggered are respect the
limits.
Temp tables are only used when there are multiple partitions
per destination. For destinations with a single destination,
data is loaded directly to the destination table.
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 288594)
Time Spent: 10m
Remaining Estimate: 0h
> BigQuery File Loads to work well with load job size limits
> ----------------------------------------------------------
>
> Key: BEAM-7742
> URL: https://issues.apache.org/jira/browse/BEAM-7742
> Project: Beam
> Issue Type: Improvement
> Components: io-python-gcp
> Reporter: Pablo Estrada
> Assignee: Tanay Tummalapalli
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Load jobs into BigQuery have a number of limitations:
> [https://cloud.google.com/bigquery/quotas#load_jobs]
>
> Currently, the python BQ sink implemented in `bigquery_file_loads.py` does
> not handle these limitations well. Improvements need to be made to the
> miplementation, to:
> * Decide to use temp_tables dynamically at pipeline execution
> * Add code to determine when a load job to a single destination needs to be
> partitioned into multiple jobs.
> * When this happens, then we definitely need to use temp_tables, in case one
> of the two load jobs fails, and the pipeline is rerun.
> Tanay, would you be able to look at this?
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