[GitHub] [arrow-datafusion] andygrove opened a new issue #784: ExecutionConfig should make query execution extensible

[GitBox <gi...@apache.org>]

andygrove opened a new issue #784:
URL: https://github.com/apache/arrow-datafusion/issues/784


   **Is your feature request related to a problem or challenge? Please describe what you are trying to do.**
   When creating an execution context we already have some extension points such as `with_query_planner` and `with_physical_optimizer_rules` and I would like to extend this so that we can override the execution path when calling `collect`.
   
   **Describe the solution you'd like**
   When creating DataFrames from Ballista, I would like the user to be able to call `collect` directly on the DataFrame and have a way to make this call the Ballista execution context. If we can add a `with_query_executor` method to the DataFusion execution config then I think we can make this work.
   
   **Describe alternatives you've considered**
   One alternative would be to implement a Ballista-specific implementation of the DataFrame trait. It would mostly just delegate to the DataFusion DataFrame except for execution methods such as `collect`.
   
   **Additional context**
   None


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[GitHub] [arrow-datafusion] andygrove closed issue #784: ExecutionConfig should make query execution extensible

[GitBox <gi...@apache.org>]

andygrove closed issue #784:
URL: https://github.com/apache/arrow-datafusion/issues/784


   


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[GitHub] [arrow-datafusion] andygrove commented on issue #784: ExecutionConfig should make query execution extensible

[GitBox <gi...@apache.org>]

andygrove commented on issue #784:
URL: https://github.com/apache/arrow-datafusion/issues/784#issuecomment-887668773


   nm I have a better idea on how to tackle this now


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