com.databricks.spark.avro

SchemaConverters

object SchemaConverters

This object contains method that are used to convert sparkSQL schemas to avro schemas and vice versa.

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Type Members

  1. class IncompatibleSchemaException extends Exception

  2. case class SchemaType(dataType: DataType, nullable: Boolean) extends Product with Serializable

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  1. final def !=(arg0: AnyRef): Boolean

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  8. def convertStructToAvro[T](structType: StructType, schemaBuilder: RecordBuilder[T], recordNamespace: String): T

    This function converts sparkSQL StructType into avro schema.

    This function converts sparkSQL StructType into avro schema. This method uses two other converter methods in order to do the conversion.

  9. def createConverterToSQL(sourceAvroSchema: Schema, targetSqlType: DataType): (AnyRef) ⇒ AnyRef

    Returns a converter function to convert row in avro format to GenericRow of catalyst.

    Returns a converter function to convert row in avro format to GenericRow of catalyst.

    sourceAvroSchema

    Source schema before conversion inferred from avro file by passed in by user.

    targetSqlType

    Target catalyst sql type after the conversion.

    returns

    returns a converter function to convert row in avro format to GenericRow of catalyst.

  10. final def eq(arg0: AnyRef): Boolean

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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  13. final def getClass(): Class[_]

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  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toSqlType(avroSchema: Schema): SchemaType

    This function takes an avro schema and returns a sql schema.

  21. def toString(): String

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  22. final def wait(): Unit

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  23. final def wait(arg0: Long, arg1: Int): Unit

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  24. final def wait(arg0: Long): Unit

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