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Posted to github@arrow.apache.org by "andygrove (via GitHub)" <gi...@apache.org> on 2023/02/25 00:04:07 UTC
[GitHub] [arrow-ballista] andygrove opened a new issue, #684: Support executing query stages in execution engines other than DataFusion
andygrove opened a new issue, #684:
URL: https://github.com/apache/arrow-ballista/issues/684
**Is your feature request related to a problem or challenge? Please describe what you are trying to do.**
When the executor receives a task, it deserializes the physical plan, wraps it in a `ShuffleWriterExec`, and executes it with DataFusion.
I want the ability to override this behavior to execute the plan in execution engines other than DataFusion.
**Describe the solution you'd like**
In the executor, we call `new_shuffle_writer` to create the `ShuffleWriterExec` that wraps the plan to be executed. I am thinking about moving that method into a new `ExecuionEngine` trait and creating a `DataFusionExecutor` implementation of the trait that is used by default.
We can then add a field to `ExecutorProcessConfig` as follows:
```rust
execution_engine: Option<Arc<dyn ExecutionEngine>>
```
This will allow me to register custom execution engines from PyBallista, and execute distributed queries in Polars, Pandas, and cuDF.
**Describe alternatives you've considered**
None
**Additional context**
None
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[GitHub] [arrow-ballista] mingmwang commented on issue #684: Support executing query stages in execution engines other than DataFusion
Posted by "mingmwang (via GitHub)" <gi...@apache.org>.
mingmwang commented on issue #684:
URL: https://github.com/apache/arrow-ballista/issues/684#issuecomment-1552318718
@andygrove
I like this idea. For the other execution engines, do you have any proposal ?
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Re: [I] Support executing query stages in execution engines other than DataFusion [arrow-ballista]
Posted by "andygrove (via GitHub)" <gi...@apache.org>.
andygrove commented on issue #684:
URL: https://github.com/apache/arrow-ballista/issues/684#issuecomment-1894034053
I am closing this for now because I think it is too ambitious given the current level of development in the project.
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[GitHub] [arrow-ballista] jdye64 commented on issue #684: Support executing query stages in execution engines other than DataFusion
Posted by "jdye64 (via GitHub)" <gi...@apache.org>.
jdye64 commented on issue #684:
URL: https://github.com/apache/arrow-ballista/issues/684#issuecomment-1444772044
I have been thinking about this a lot today. I have had numerous ideas and all seem to have fell flat as I tried to fully implement them. I like the general idea however and curious to see how it looks fully materialized. Interesting stuff for sure!
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[GitHub] [arrow-ballista] andygrove commented on issue #684: Support executing query stages in execution engines other than DataFusion
Posted by "andygrove (via GitHub)" <gi...@apache.org>.
andygrove commented on issue #684:
URL: https://github.com/apache/arrow-ballista/issues/684#issuecomment-1444767539
@Dandandan @thinkharderdev @yahoNanJing @avantgardnerio @jdye64 fyi - let me know if you have any opinions on this approach. I am going to build a prototype of this over the next week. I am sure the design will evolve as I try and implement this.
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[GitHub] [arrow-ballista] andygrove commented on issue #684: Support executing query stages in execution engines other than DataFusion
Posted by "andygrove (via GitHub)" <gi...@apache.org>.
andygrove commented on issue #684:
URL: https://github.com/apache/arrow-ballista/issues/684#issuecomment-1444817016
There needs to be a scheduler element to this as well so we can do the plan translation once rather than per task.
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Re: [I] Support executing query stages in execution engines other than DataFusion [arrow-ballista]
Posted by "andygrove (via GitHub)" <gi...@apache.org>.
andygrove closed issue #684: Support executing query stages in execution engines other than DataFusion
URL: https://github.com/apache/arrow-ballista/issues/684
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