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.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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   protected[lang]

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   @throws( ... ) @native()

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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   protected[lang]

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   @throws( classOf[java.lang.Throwable] )

9.  final def flat: Either[AvroSchemaError, Schema]

   Converts the schema to its flatten version.

   Converts the schema to its flatten version. It supports primitives, arrays and nested complex data structures.

   Rules:

   - If a primitive, keeps it as is - If a record, flatten all the fields so that they become primitive. Then appends the field name to the children's field name and use their type as the output type. For example,

   {
     "type": "record",
     "name": "PaymentRecord",
     "fields": [
       {
          "name": "paymentView",
          "type": "record",
          "name": "PaymentView",
          "fields": [
            { "name": "payment", "type": "long" },
            { "name": "revoked", "type": ["null", "boolean"], "default": null },
          ]
       }
     ]
   }

   becomes

   {
     "type": "record",
     "name": "PaymentRecord",
     "fields": [
       { "name": "paymentView_payment", "type": "long" },
       { "name": "paymentView_revoked", type": ["null", "boolean"], "default": null }
     ]
   }

   - If an array, it first makes sure that the type is a primitive with any flattening rule and then use it as the output. As an array could be empty, regardless of being optional or not, we always set the fields as optional. An array, in the process of flattening will cause an explosion.

10.  final def getClass(): Class[_]

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    @native()

11.  final def getTypeWithoutNull: Either[NonNullableUnionTypeError, Schema]

    In case of a nullable schema, it returns the type if it's not null.

    In case of a nullable schema, it returns the type if it's not null. A nullable schema in Avro is the UNION of NULL and the actual type. In this method, we assume that there is no more than one type (besides NULL) in the union.

12.  final def getTypesWithoutNull: Schema
13.  def hashCode(): Int

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    @native()

14.  final def isArray: Boolean
15.  final def isInstanceOf[T0]: Boolean

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16.  final def isRecord: Boolean
17.  final def makeNullable: Schema

    If schema is not nullable, it will make it nullable with a default value of 'null'

18.  final def mergeWith(otherSchema: Schema): Schema
19.  final def ne(arg0: AnyRef): Boolean

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20.  final def notify(): Unit

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    @native()

21.  final def notifyAll(): Unit

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    @native()

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

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23.  final def toIdl(protocol: String): Either[IllegalOperationError, String]
24.  def toString(): String

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25.  final def union(other: Schema): Schema

    Union of two schema It makes sure that the "null" schema comes first.

    Union of two schema It makes sure that the "null" schema comes first. But if both of them are null, it returns only one of them. Otherwise, returns the union of the types of both schema.

    Annotations

    @tailrec()

26.  def unionWithNonUnion(nonUnion: Schema): Schema

    Union with a non-union assuming this schema is a union itself

27.  def unionWithUnion(union: Schema): Schema
28.  final def wait(): Unit

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

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    @throws( ... )

30.  final def wait(arg0: Long): Unit

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