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https://issues.apache.org/jira/browse/BEAM-4283?focusedWorklogId=108087&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-108087
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ASF GitHub Bot logged work on BEAM-4283:
----------------------------------------
Author: ASF GitHub Bot
Created on: 01/Jun/18 14:14
Start Date: 01/Jun/18 14:14
Worklog Time Spent: 10m
Work Description: echauchot commented on a change in pull request #5464:
[BEAM-4283] Write Nexmark execution times to bigquery
URL: https://github.com/apache/beam/pull/5464#discussion_r192408722
##########
File path:
sdks/java/nexmark/src/main/java/org/apache/beam/sdk/nexmark/Main.java
##########
@@ -146,13 +164,77 @@ private void appendPerf(
private static final String LINE =
"==========================================================================================";
- /**
- * Print summary of {@code actual} vs (if non-null) {@code baseline}.
- */
+ /** Send {@code nexmarkPerf} to BigQuery. */
+ @VisibleForTesting
+ static void writeQueryPerftoBigQuery(
Review comment:
True, I'm using BigQueryService class. If you don't want it exposed, I can
use BigQueryIO in a second pipeline indeed. I can create this pipeline once the
run pipeline is finished and run it over of PCollection<KV<Configuration,
NexmarkPerf>> and write this Pcollection to BQ using BigQueryIO. The only this
is that the second pipeline will not run using DirectRunner, but using the
runner configured in the piepelineOptions (the runner that we are currently
testing with nexmark)
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Issue Time Tracking
-------------------
Worklog Id: (was: 108087)
Time Spent: 2.5h (was: 2h 20m)
> Export nexmark execution times to bigQuery
> ------------------------------------------
>
> Key: BEAM-4283
> URL: https://issues.apache.org/jira/browse/BEAM-4283
> Project: Beam
> Issue Type: Sub-task
> Components: examples-nexmark
> Reporter: Etienne Chauchot
> Assignee: Etienne Chauchot
> Priority: Major
> Time Spent: 2.5h
> Remaining Estimate: 0h
>
> Nexmark only outputs the results collection to bigQuery and prints in the
> console the execution times. To supervise Nexmark execution times, we need to
> store them as well per runner/query/mode
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