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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/06/04 23:38:19 UTC

[GitHub] [beam] damccorm opened a new issue, #21479: Install Python wheel and dependencies to local venv in SDK harness

damccorm opened a new issue, #21479:
URL: https://github.com/apache/beam/issues/21479

   With the `--setup-file` option, the Python SDK harness compiles and installs a wheel and its package dependencies on the taskmanager SDK sidecar containers. Unfortunately, this installation is global and persistent, so consecutive job submissions will reuse the previously installed wheel instead of reinstalling or updating it. This makes it impossible to submit updated code (beyond the main .py file, which will always be fresh) without deleting and recreating all taskmanager containers. It also messes with dependencies of other jobs and can cause inconsistencies or errors that are extremely hard to debug.
   
   *Suggestion:* Create a temporary venv per job, install packages there, delete venv after job completion or failure.
   
   *Fixes:* Stale or conflicting dependencies in persistent SDK containers. Pip will not reinstall existing packages by default, even if their version numbers differ and the number of installed dependency packages grows unnecessarily over time. There is also no point in keeping the `--setup-file` wheel installed for all eternity.
   
   Imported from Jira [BEAM-13669](https://issues.apache.org/jira/browse/BEAM-13669). Original Jira may contain additional context.
   Reported by: phoerious.


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