Comments (2)
One way to address this:
- Create a trait
ExecutionContext
with necessary APIs - make
DataFrame
holdBox<dyn ExecutionContext>
This allows DataFusions' DataFrame
to have different contexts resolved at run time (e.g. whether local
or cluster
is passed?).
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I am closing this since I found a different solution to this issue. Ballista uses the DataFusion context but provides its own query planner which results in a DistributedQueryExec physical plan, so DataFrame.collect() invokes that.
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