ScalaDatumReader

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def addToArray(array: AnyRef, post: Long, e: AnyRef): Unit

def addToMap(map: AnyRef, key: AnyRef, value: AnyRef): Unit

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def convert(arg0: Any, arg1: Schema, arg2: LogicalType, arg3: Conversion[_]): AnyRef

def createBytes(arg0: Array[Byte]): AnyRef

def createEnum(arg0: String, arg1: Schema): AnyRef

def createString(arg0: String): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def findStringClass(arg0: Schema): Class[_]

final def getClass(): Class[_]

def getData(): GenericData

def getExpected(): Schema

final def getResolver(arg0: Schema, arg1: Schema): ResolvingDecoder

def getSchema(): Schema

def getSpecificData(): SpecificData

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

def newArray(old: AnyRef, size: Int, schema: Schema): ListBuffer[Any]

This method was overriden so that every collection is read as a Scala's mutable.ListBuffer instead of Avro's GenericData.ARRAY.

def newInstanceFromString(arg0: Class[_], arg1: String): AnyRef

def newMap(old: AnyRef, size: Int): AnyRef

This method was overriden since Avro's original implementation relies on Java HashMaps, which are not directly translatable to Spark MapType.

final def notify(): Unit

final def notifyAll(): Unit

def peekArray(arg0: Any): AnyRef

def read(arg0: Any, arg1: Schema, arg2: ResolvingDecoder): AnyRef

def read(arg0: T, arg1: Decoder): T

def readArray(arg0: Any, arg1: Schema, arg2: ResolvingDecoder): AnyRef

def readBytes(arg0: Any, arg1: Decoder): AnyRef

def readBytes(arg0: Any, arg1: Schema, arg2: Decoder): AnyRef

def readEnum(arg0: Schema, arg1: Decoder): AnyRef

def readField(arg0: Any, arg1: Field, arg2: Any, arg3: ResolvingDecoder, arg4: Any): Unit

def readFixed(arg0: Any, arg1: Schema, arg2: Decoder): AnyRef

def readInt(arg0: Any, arg1: Schema, arg2: Decoder): AnyRef

def readMap(arg0: Any, arg1: Schema, arg2: ResolvingDecoder): AnyRef

def readMapKey(arg0: Any, arg1: Schema, arg2: Decoder): AnyRef

def readRecord(arg0: Any, arg1: Schema, arg2: ResolvingDecoder): AnyRef

def readString(old: AnyRef, expected: Schema, in: Decoder): String

This method was overriden to force all Strings to be read as Scala strings instead of Avro's org.apache.avro.util.Utf8.

def readString(arg0: Any, arg1: Decoder): AnyRef

def readWithConversion(arg0: Any, arg1: Schema, arg2: LogicalType, arg3: Conversion[_], arg4: ResolvingDecoder): AnyRef

def readWithoutConversion(arg0: Any, arg1: Schema, arg2: ResolvingDecoder): AnyRef

def setExpected(arg0: Schema): Unit

def setSchema(arg0: Schema): Unit

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def createFixed(arg0: Any, arg1: Array[Byte], arg2: Schema): AnyRef

def createFixed(arg0: Any, arg1: Schema): AnyRef

def newRecord(arg0: Any, arg1: Schema): AnyRef