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ASF GitHub Bot logged work on BEAM-2879: ---------------------------------------- Author: ASF GitHub Bot Created on: 25/Sep/19 21:18 Start Date: 25/Sep/19 21:18 Worklog Time Spent: 10m Work Description: steveniemitz commented on pull request #9665: [BEAM-2879] Support writing data to BigQuery via avro URL: https://github.com/apache/beam/pull/9665 This change enhances BigQueryIO.Write to support writing avro files rather than json when using FILE_LOADS (STREAMING_INSERTS is unchanged). This is semi-WIP, but I wanted to get the review up sooner to get feedback. TODO: - more documentation in BigQueryIO - unit tests ### Benchmarks Preliminary results look good. The more CPU constrained a job is, the faster avro becomes. My test dataset is a typical workload of ours, around 2 billion records (~130 GB serialized) representing the result of a combine. My tests read these records from GCS and wrote them to BigQuery. The jobs were run in dataflow with 150 x n1-standard-2 workers. format | time to start load job | bytes written | BQ slot time (ms) -------|----------------------|--------------|------------- avro | 6 m 30 s | 126 GB | 35,189,679 json | 8 m 5 s | 712 GB | 96,006,088 ------------------------ - [ ] [**Choose reviewer(s)**](https://beam.apache.org/contribute/#make-your-change) and mention them in a comment (`R: @username`). - [x] Format the pull request title like `[BEAM-XXX] Fixes bug in ApproximateQuantiles`, where you replace `BEAM-XXX` with the appropriate JIRA issue, if applicable. This will automatically link the pull request to the issue. - [x] If this contribution is large, please file an Apache [Individual Contributor License Agreement](https://www.apache.org/licenses/icla.pdf). 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To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 318608) Remaining Estimate: 0h Time Spent: 10m > Implement and use an Avro coder rather than the JSON one for intermediary > files to be loaded in BigQuery > -------------------------------------------------------------------------------------------------------- > > Key: BEAM-2879 > URL: https://issues.apache.org/jira/browse/BEAM-2879 > Project: Beam > Issue Type: Improvement > Components: io-java-gcp > Reporter: Black Phoenix > Assignee: Steve Niemitz > Priority: Minor > Labels: starter > Time Spent: 10m > Remaining Estimate: 0h > > Before being loaded in BigQuery, temporary files are created and encoded in > JSON. Which is a costly solution compared to an Avro alternative -- This message was sent by Atlassian Jira (v8.3.4#803005)