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org.apache.spark.sql.delta

TypeWideningShims

object TypeWideningShims

Type widening only supports a limited set of type changes with Spark 3.5 due to the parquet readers lacking the corresponding conversions that were added in Spark 4.0. This shim is for Delta on Spark 3.5 which supports: - byte -> short -> int

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  11. final def isInstanceOf[T0]: Boolean
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  12. def isTypeChangeSupported(fromType: AtomicType, toType: AtomicType): Boolean

    Returns whether the given type change is eligible for widening.

    Returns whether the given type change is eligible for widening. This only checks atomic types. It is the responsibility of the caller to recurse into structs, maps and arrays.

  13. def isTypeChangeSupportedForSchemaEvolution(fromType: AtomicType, toType: AtomicType): Boolean

    Returns whether the given type change can be applied during schema evolution.

    Returns whether the given type change can be applied during schema evolution. Only a subset of supported type changes are considered for schema evolution.

  14. final def ne(arg0: AnyRef): Boolean
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  21. final def wait(arg0: Long): Unit
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