[SPARK-52243][CONNECT] Add NERF support for schema-related InvalidPlanInput errors #50997
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heyihong
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HyukjinKwon
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cloud-fan
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| @@ -3432,6 +3444,12 @@ | |||
| ], | |||
| "sqlState" : "42602" | |||
| }, | |||
| "INVALID_SCHEMA_TYPE_NON_STRUCT" : { | |||
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Shall we use this error condition everywhere? All of those features need to specify a schema, and INVALID_SCHEMA_TYPE_NON_STRUCT is general enough that fit all of them.
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To indicate where the error happened, error context is a better place.
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thanks, merging to master! |
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What changes were proposed in this pull request?
This PR adds NERF (New Error Framework) support for schema-related InvalidPlanInput errors in Spark Connect. The changes include:
Added a new error condition in error-conditions.json for schema validation:
Refactored error handling in InvalidInputErrors.scala to use the new NERF framework:
Added a test suite InvalidInputErrorsSuite.scala to verify error handling
Why are the changes needed?
These changes are needed to:
Does this PR introduce any user-facing change?
No
How was this patch tested?
build/sbt "connect/testOnly *InvalidInputErrorsSuite"Was this patch authored or co-authored using generative AI tooling?
Generated-by: Cursor 0.50.5 (Universal)