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Posted to issues@beam.apache.org by "Tanay Tummalapalli (Jira)" <ji...@apache.org> on 2019/09/04 14:50:00 UTC
[jira] [Updated] (BEAM-6611) A Python Sink for BigQuery with File
Loads in Streaming
[ https://issues.apache.org/jira/browse/BEAM-6611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tanay Tummalapalli updated BEAM-6611:
-------------------------------------
Fix Version/s: 2.16.0
> A Python Sink for BigQuery with File Loads in Streaming
> -------------------------------------------------------
>
> Key: BEAM-6611
> URL: https://issues.apache.org/jira/browse/BEAM-6611
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Pablo Estrada
> Assignee: Tanay Tummalapalli
> Priority: Major
> Labels: gsoc, gsoc2019, mentor
> Fix For: 2.16.0
>
> Time Spent: 10h 50m
> Remaining Estimate: 0h
>
> The Java SDK supports a bunch of methods for writing data into BigQuery, while the Python SDK supports the following:
> - Streaming inserts for streaming pipelines [As seen in [bigquery.py and BigQueryWriteFn|https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L649-L813]]
> - File loads for batch pipelines [As implemented in [PR 7655|https://github.com/apache/beam/pull/7655]]
> Qucik and dirty early design doc: https://s.apache.org/beam-bqfl-py-streaming
> The Java SDK also supports File Loads for Streaming pipelines [see BatchLoads application|https://github.com/apache/beam/blob/master/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java#L1709-L1776].
> File loads have the advantage of being much cheaper than streaming inserts (although they also are slower for the records to show up in the table).
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