Spark 4.2: Set Iceberg field IDs as Spark column IDs for DSv2 validation - #17958
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rahulsmahadev wants to merge 1 commit into
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Spark 4.2: Set Iceberg field IDs as Spark column IDs for DSv2 validation#17958rahulsmahadev wants to merge 1 commit into
rahulsmahadev wants to merge 1 commit into
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Set StructField.withId with each Iceberg field ID during Schema to StructType conversion, so SparkTable.columns() exposes stable Column.id() for top-level and nested struct fields and Spark 4.2's nested-field column-ID validation (SPARK-57544) works with Iceberg tables. Adds a TestSparkSchemaUtil test.
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Exposes stable Iceberg field IDs to Spark as DSv2 column IDs, so Spark 4.2's column-ID validation for nested fields (SPARK-57544) works with Iceberg tables.
Spark 4.2 populates
Column.id()fromStructField.id(), andSparkTable.columns()goes through Spark's defaultCatalogV2Util.structTypeToV2Columns(schema(), true), which reads those IDs recursively for top-level and nested struct fields. Iceberg'sTypeToSparkTypedid not set them, soColumn.id()was always null.This sets
StructField.withId(Integer.toString(fieldId))duringSchema -> StructTypeconversion, using each field's Iceberg field ID.withIdwrites Spark's official field-ID metadata key and preserves existingStructFieldmetadata; it does not conflict with Iceberg's separate metadata-column marker. Named struct fields, including those nested inside arrays and maps, receive IDs through the existing recursive visitor; collection element/key/value pseudo-fields are not named Spark fields and are left unchanged. A test is added inTestSparkSchemaUtil.