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Is your feature request related to a problem or challenge? Please describe what you are trying to do.
Adaptive query execution is the re-optimization of the query pipeline.
This allows for faster complex queries, as joins and other.
The pull/stage based model of Ballista allows for implementing a similar strategy as Spark.
Describe the solution you'd like
When a stage has been finished: provide/update the statistics (row count / byte size) for the remaining stages
Re-optimize the different stages based on (exact) stats. We can start with running only the physical optimization passes (join order, aggregate statistics, broadcast join Implement broadcast join optimization #348, etc.) as we already converted the logical plan to the physical plan.
Describe alternatives you've considered
Additional context
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem or challenge? Please describe what you are trying to do.
Adaptive query execution is the re-optimization of the query pipeline.
This allows for faster complex queries, as joins and other.
The pull/stage based model of Ballista allows for implementing a similar strategy as Spark.
Describe the solution you'd like
Describe alternatives you've considered
Additional context
The text was updated successfully, but these errors were encountered: