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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/06/03 22:59:19 UTC
[GitHub] [beam] kennknowles opened a new issue, #19221: Load tests for SyntheticSources in Python
kennknowles opened a new issue, #19221:
URL: https://github.com/apache/beam/issues/19221
For purpose of load testing the SyntheticSources there should be created tests with metrics which will be sent to BigQuery.
Imported from Jira [BEAM-5758](https://issues.apache.org/jira/browse/BEAM-5758). Original Jira may contain additional context.
Reported by: kasiak.
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[GitHub] [beam] Abacn commented on issue #19221: Load tests for SyntheticSources in Python
Posted by GitBox <gi...@apache.org>.
Abacn commented on issue #19221:
URL: https://github.com/apache/beam/issues/19221#issuecomment-1347249141
Now Python SDK has a SyntheticSources and it is now used in a couple of performance tests. However I find the Python SyntheticSources is much less efficient than its Java counterpart even though they are implemented in the same way (SDF).
Results of https://ci-beam.apache.org/view/PerformanceTests/job/beam_PerformanceTests_TextIOIT_Python/ shows SyntheticSources costs >10 min machine time producing `25,000,000` records and https://ci-beam.apache.org/view/PerformanceTests/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ not able to finish generating `100,000,000` records within ~30 min
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[GitHub] [beam] kennknowles commented on issue #19221: Load tests for SyntheticSources in Python
Posted by GitBox <gi...@apache.org>.
kennknowles commented on issue #19221:
URL: https://github.com/apache/beam/issues/19221#issuecomment-1146436950
The following subtask(s) are associated with this issue: #19222, #19223
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