SchemasProcessor

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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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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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

   

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10. def hashCode(): Int

    

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11. final def isInstanceOf[T0]: Boolean

    

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12. val log: Logger

    

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

    

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14. final def notify(): Unit

    

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15. final def notifyAll(): Unit

    

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16. def storeAsAvro(schema: StructType, destinationPath: String)(schemaName: String = "name", schemaNamespace: String = "namespace", topic: String): Unit

    

    Converts a Spark schema into an Avro and stores it in a file system.

    Converts a Spark schema into an Avro and stores it in a file system.

    schema

    StructType containing the source Spark schema

    destinationPath

    String containing the path to the destination Avro schema

    schemaName

    String containing the destination Avro schema name

    schemaNamespace

    String containing the destination Avro schema namespace

    topic

    String containing the topic to which the schema is being generated

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

    

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18. def toPlainAvro(schema: StructType, name: String, namespace: String): String

    

    Converts a Spark schema into a plain Avro schema with specific name and namespace.

19. def toString(): String

    

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20. final def wait(): Unit

    

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

    

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

    

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