AvroCodec

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

lazy val chrononSchema: DataType

lazy val chrononSchemaClean: DataType

def clone(): AnyRef

def decode(bytes: Array[Byte]): GenericRecord

def decodeMap(bytes: Array[Byte]): Map[String, AnyRef]

def decodeRow(bytes: Array[Byte], millis: Long, mutation: Boolean = false): ArrayRow

def decodeRow(bytes: Array[Byte]): Array[Any]

def decodeStructured(bytes: Array[Byte]): FeatureRecord

Like decodeMap, but names fields at every nesting level instead of just the top level, so struct-typed values (and lists of structs) come back as FeatureRecords rather than bare positional arrays.

def encode(row: Row): Array[Byte]

def encode(valueMap: Map[String, AnyRef]): Array[Byte]

def encodeArray(anyArray: Array[Any]): Array[Byte]

def encodeBinary(record: GenericRecord): Array[Byte]

def encodeJson(record: GenericRecord): String

def encodeRecord(record: GenericRecord, reusableEncoder: Encoder): Array[Byte]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

val fieldNames: Array[String]

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

lazy val schema: Schema

lazy val schemaElems: Array[Field]

val schemaStr: String

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

def toString(): String

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

final def wait(arg0: Long): Unit

final def wait(): Unit

def finalize(): Unit