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feat: Initial partitioned execution #528
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This introduces the key components of partitioned execution. - `sparrow-scheduler` provides functionality for managing the separate pipelines within the query plan and morsel-driven parallelism. It managing a thread-pool of workers pinned to specific CPUs pulling tasks from local queues. - `sparrow-transforms` will provide implementations of the "transforms" (project, select, etc.) and a pipeline for executing the transforms. - `sparrow-execution` will pull everything together to provide partitioned execution. TODO (before merge or move to ticket): - [ ] Cleanup implementation / review naming - [ ] Reduce the number of top-level fields in PipelineTransform, if possible. - [ ] Implement at least one `Sink` and `Source` - [ ] Update sparrow execution to actually tie things together. - [ ] Add unit tests for sparrow execution demonstrating everything working together. - [ ] Add loom tests for the `TransformPipeline` - [ ] Add loom tests to CI
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draft: feat: Initial partitioned execution
feat: Initial partitioned execution
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This introduces the key components of partitioned execution.
sparrow-scheduler
provides functionality for managing the separate pipelines within the query plan and morsel-driven parallelism. It managing a thread-pool of workers pinned to specific CPUs pulling tasks from local queues.sparrow-transforms
will provide implementations of the "transforms" (project, select, etc.) and a pipeline for executing the transforms.sparrow-execution
will pull everything together to provide partitioned execution.This is part of #409.