DataFrameSuiteBaseLike

abstract def assert[U](message: String, expected: U, actual: U)(implicit CT: ClassTag[U]): Unit

abstract def assert[U](expected: U, actual: U)(implicit CT: ClassTag[U]): Unit

abstract def assertEmpty[U](arr: Array[U])(implicit CT: ClassTag[U]): Unit

abstract def assertTrue(expected: Boolean): Unit

abstract def sc: SparkContext

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

def appID: String

def approxEquals(r1: Row, r2: Row, tol: Double): Boolean

final def asInstanceOf[T0]: T0

def assertDataFrameApproximateEquals(expected: DataFrame, result: DataFrame, tol: Double): Unit

Compares if two DataFrames are equal, checks that the schemas are the same.

def assertDataFrameEquals(expected: DataFrame, result: DataFrame): Unit

Compares if two DataFrames are equal, checks the schema and then if that matches checks if the rows are equal.

def clone(): AnyRef

def conf: SparkConf

implicit def enableHiveSupport: Boolean

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

implicit def impSqlContext: SQLContext

final def isInstanceOf[T0]: Boolean

val maxUnequalRowsToShow: Int

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def setup(sc: SparkContext): Unit

Setup work to be called when creating a new SparkContext.

lazy val spark: SparkSession

def sqlBeforeAllTestCases(): Unit

lazy val sqlContext: SQLContext

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