Prototype: support eager analysis inside Pipelines query functions#53700
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sryza wants to merge 7 commits intoapache:masterfrom
Closed
Prototype: support eager analysis inside Pipelines query functions#53700sryza wants to merge 7 commits intoapache:masterfrom
sryza wants to merge 7 commits intoapache:masterfrom
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sryza
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We're closing this PR because it hasn't been updated in a while. This isn't a judgement on the merit of the PR in any way. It's just a way of keeping the PR queue manageable. |
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What changes were proposed in this pull request?
This is a WIP change that adds support for using functions like
DataFrame.schemaandDataFrame.columnsinside pipeline query functions.The change makes graph resolution partially asynchronous.
Many of the data structures that were previously maintained as local variables inside transformDownNodes have been moved to a GraphAnalysisContext object. Moving them into a separate object makes them accessible from Spark Connect RPC handlers that:
Were also essentially introducing a new state that flows can be in during resolution, which is “waiting for query function result”.
Why are the changes needed?
Does this PR introduce any user-facing change?
How was this patch tested?
Was this patch authored or co-authored using generative AI tooling?