Packages

t

org.apache.spark.sql.connector.read

VariantExtraction

trait VariantExtraction extends Serializable

Variant extraction information that describes a single field extraction from a variant column.

This interface captures the information needed by data sources to optimize reading variant columns. Each instance represents one field extraction operation (e.g., from variant_get or try_variant_get).

For example, if a query contains variant_get(v, '$.a', 'int'), this would be represented as a VariantExtraction with columnName=["v"], path="$.a", and expectedDataType=IntegerType.

Annotations
@Experimental()
Source
VariantExtraction.java
Since

4.1.0

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Abstract Value Members

  1. abstract def columnName(): Array[String]

    Returns the path to the variant column.

    Returns the path to the variant column. For top-level variant columns, this is a single element array containing the column name. For nested variant columns within structs, this is an array representing the path (e.g., ["structCol", "innerStruct", "variantCol"]).

  2. abstract def expectedDataType(): DataType

    Returns the expected data type for the extracted value.

    Returns the expected data type for the extracted value. This is the target type specified in variant_get (e.g., IntegerType, StringType).

  3. abstract def metadata(): Metadata

    Returns the metadata associated with this variant extraction.

    Returns the metadata associated with this variant extraction. This may include additional information needed by the data source: - "path": the extraction path from variant_get or try_variant_get. This follows JSON path syntax (e.g., "$.a", "$.b.c", "$[0]"). - "failOnError": whether the extraction to expected data type should throw an exception or return null if the cast fails. - "timeZoneId": a string identifier of a time zone. It is required by timestamp-related casts.

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    (Since version 9)

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