[SPARK-57175][SQL] Extend nested column pruning to exists and forall over arrays of structs#56226
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…over arrays of structs
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Why are the changes needed?
SPARK-57175 follows SPARK-57022, which added nested column pruning for
transformoverarray<struct>inputs. The same optimization does not currently apply to theexistsandforallhigher-order array functions.For example:
If
rule_resultscontains additional fields, Spark currently retains the full element struct in the scan schema even though the predicate only readsrule_version. This causes unnecessary Parquet and ORC input reads for wide array element schemas.What changes were proposed in this PR?
ArrayTransformwithArrayExistsandArrayForAll.GetStructFieldordinals against the projected element schema after pruning.ArrayFilterandArraySortremain out of scope because they return original input elements and require a different downstream-schema design.Does this PR introduce any user-facing change?
Yes. Eligible queries using
existsorforallover arrays of structs can read a narrower input schema. Query results and SQL APIs are unchanged.How was this patch tested?
JAVA_HOME=/opt/homebrew/opt/openjdk@17/libexec/openjdk.jdk/Contents/Home PATH=/opt/homebrew/opt/openjdk@17/bin:$PATH build/sbt "catalyst/testOnly org.apache.spark.sql.catalyst.expressions.SchemaPruningSuite" "sql/testOnly org.apache.spark.sql.execution.datasources.parquet.ParquetV1SchemaPruningSuite org.apache.spark.sql.execution.datasources.parquet.ParquetV2SchemaPruningSuite org.apache.spark.sql.execution.datasources.orc.OrcV1SchemaPruningSuite org.apache.spark.sql.execution.datasources.orc.OrcV2SchemaPruningSuite -- -z Array"git diff --checkWas this patch authored or co-authored using generative AI tooling?
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