CSVDataSource

abstract def infer(sparkSession: SparkSession, inputPaths: Seq[FileStatus], parsedOptions: CSVOptions): StructType

abstract def isSplitable: Boolean

abstract def readFile(conf: Configuration, file: PartitionedFile, parser: UnivocityParser, schema: StructType): Iterator[InternalRow]

Parse a PartitionedFile into InternalRow instances.

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def inferSchema(sparkSession: SparkSession, inputPaths: Seq[FileStatus], parsedOptions: CSVOptions): Option[StructType]

Infers the schema from inputPaths files.

final def isInstanceOf[T0]: Boolean

def makeSafeHeader(row: Array[String], caseSensitive: Boolean, options: CSVOptions): Array[String]

Generates a header from the given row which is null-safe and duplicate-safe.

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): 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