mrMakaronka ( Artem Trofimov )

So, as we discussed, we want to have a separate pipeline that would accept user queries, submit them to the coordinator to create the pipeline, then submit that pipeline to the executor, which would send it to the cluster. That separate pipeline would be CoordinatorExecutorPipeline. For now, planner, queryPlanner, etc are left as parameters, seeing as I don't know how to obtain their instances (for example, apparently, the instance of CalciteQueryPlanner that's used when executing a SQL query in Beam is instantiated by BeamSqlEnv using reflection, if the code comments are to be believed? How do we get /that/...), although ideally I assume the only things that the user would need to supply are query jobs and inputs.

I tried to test whether it works, but, alas, that would require me to find an UnboundedSource to register... should I have used the Nexmark one?

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Bump httpclient from 4.5.3 to 4.5.13 in /parent

Bumps httpclient from 4.5.3 to 4.5.13.

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Nikita Sokolov

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CLOUD-67446: Python 3.8 support types.CodeType has a new parameter in the second position of the constructor (posonlyargcount) to support positional-only arguments defined in PEP 570. https://docs.python.org/3/whatsnew/3.8.html#changes-in-the-python-api

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Python 3.8 support

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