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mrMakaronka/ios-2d-water-simulation 25

Dynamic 2D Water Effects based on OpenGL ES 2.0 & Cocos2d

flame-stream/FlameStream 15

Distributed stream processing model and its implementation

spbsu-ml-community/commons 3

Java Common Utils

mrMakaronka/hpcourse 0

Project is aimed to store student's practical works on high performance computing course

mrMakaronka/Load-Balancing-Tester 0

Tool for checking if your load balancing solution is set up correctly

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“Boris

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typesetting polished

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pull request commentflame-stream/streaming-sql-optimization

Cost Estimator implementation (DRAFT)

Добавил SqlQueryInspector и SqlQueryInspectorTest

chernokoz

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chernokoz

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add SqlQueryInspector and basic test for it

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“Boris

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abstract

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“Boris

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abstract to separate file

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“Boris

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Merge branch 'master' of https://github.com/flame-stream/Papers

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PR opened flame-stream/streaming-sql-optimization

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Coordinator pipeline draft

This is, like, disappointingly void of substance. Sorry.

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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branch : executor

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PR opened flame-stream/FlameNews

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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fix version comparing

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add a comma to the end of the library list

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Max Melekhovets

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Merge pull request #20 from mrMakaronka/tf-2.5-support add StackSummary reducer only for tensorflow < 2.5

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Nikita Sokolov

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CloudPickler instance-level dispatch tables are not supported yet https://github.com/cloudpipe/cloudpickle/pull/395

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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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