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com.samelamin.spark.bigquery.converters

SchemaConverters

Related Doc: package converters

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object SchemaConverters

Builds BigQuery input JSON schema based on DataFrame. Example schema can be found here: https://cloud.google.com/bigquery/docs/personsDataSchema.json

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Type Members

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

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Value Members

  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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  4. def BQToSQLSchema(tableSchema: TableSchema): StructType

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  5. def SqlToBQSchema(df: DataFrame): String

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  6. final def asInstanceOf[T0]: T0

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  7. def avroToSqlType(avroSchema: Schema): SchemaType

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

  8. def clone(): AnyRef

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  9. def createConverterToSQL(schema: Schema): (Any) ⇒ Any

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    Returns a function that is used to convert avro types to their corresponding sparkSQL representations.

  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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  14. def getTypeName(dataType: String): DataType

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  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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