FixedFileFormat

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final val BUFFER_SIZE: Int(4096)

final def asInstanceOf[T0]: T0

def buildReader(sparkSession: SparkSession, dataSchema: StructType, partitionSchema: StructType, requiredSchema: StructType, filters: Seq[org.apache.spark.sql.sources.Filter], options: Map[String, String], hadoopConf: Configuration): (PartitionedFile) ⇒ Iterator[InternalRow]

Based on https://github.com/apache/spark/blob/branch-2.2/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/text/TextFileFormat.scala

def buildReaderWithPartitionValues(sparkSession: SparkSession, dataSchema: StructType, partitionSchema: StructType, requiredSchema: StructType, filters: Seq[org.apache.spark.sql.sources.Filter], options: Map[String, String], hadoopConf: Configuration): (PartitionedFile) ⇒ Iterator[InternalRow]

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

final def getClass(): Class[_]

def hashCode(): Int

def inferSchema(sparkSession: SparkSession, options: Map[String, String], files: Seq[FileStatus]): Option[StructType]

final def isInstanceOf[T0]: Boolean

def isSplitable(sparkSession: SparkSession, options: Map[String, String], path: Path): Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def prepareWrite(sparkSession: SparkSession, job: Job, options: Map[String, String], dataSchema: StructType): OutputWriterFactory

def shortName(): String

def supportBatch(sparkSession: SparkSession, dataSchema: StructType): Boolean

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

def toString(): String

def vectorTypes(requiredSchema: StructType, partitionSchema: StructType, sqlConf: SQLConf): Option[Seq[String]]

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

final def wait(arg0: Long): Unit

final def wait(): Unit

def finalize(): Unit