JavaDataFrameSuiteBase

final def !=(arg0: Any): Boolean

def !==[T](right: Spread[T]): TripleEqualsInvocationOnSpread[T]

def !==(right: Null): TripleEqualsInvocation[Null]

def !==[T](right: T): TripleEqualsInvocation[T]

final def ##(): Int

final def ==(arg0: Any): Boolean

def ===[T](right: Spread[T]): TripleEqualsInvocationOnSpread[T]

def ===(right: Null): TripleEqualsInvocation[Null]

def ===[T](right: T): TripleEqualsInvocation[T]

def afterAllTestCases(): Unit

def alert: Alerter

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

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

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

final def asInstanceOf[T0]: T0

macro def assert(condition: Boolean, clue: Any): Unit

macro def assert(condition: Boolean): Unit

macro def assertCompiles(code: String): Unit

macro def assertDoesNotCompile(code: String): Unit

def assertResult(expected: Any)(actual: Any): Unit

def assertResult(expected: Any, clue: Any)(actual: Any): Unit

macro def assertTypeError(code: String): Unit

val assertionsHelper: AssertionsHelper

macro def assume(condition: Boolean, clue: Any): Unit

macro def assume(condition: Boolean): Unit

def beforeAllTestCases(): Unit

def cancel(cause: Throwable): Nothing

def cancel(message: String, cause: Throwable): Nothing

def cancel(message: String): Nothing

def cancel(): Nothing

def clone(): AnyRef

def conf(): SparkConf

def conversionCheckedConstraint[A, B](implicit equivalenceOfA: Equivalence[A], cnv: (B) ⇒ A): Constraint[A, B]

def convertEquivalenceToAToBConstraint[A, B](equivalenceOfB: Equivalence[B])(implicit ev: <:<[A, B]): Constraint[A, B]

def convertEquivalenceToAToBConversionConstraint[A, B](equivalenceOfB: Equivalence[B])(implicit ev: (A) ⇒ B): Constraint[A, B]

def convertEquivalenceToBToAConstraint[A, B](equivalenceOfA: Equivalence[A])(implicit ev: <:<[B, A]): Constraint[A, B]

def convertEquivalenceToBToAConversionConstraint[A, B](equivalenceOfA: Equivalence[A])(implicit ev: (B) ⇒ A): Constraint[A, B]

def convertToCheckingEqualizer[T](left: T): CheckingEqualizer[T]

implicit def convertToEqualizer[T](left: T): Equalizer[T]

def convertToLegacyCheckingEqualizer[T](left: T): LegacyCheckingEqualizer[T]

def convertToLegacyEqualizer[T](left: T): LegacyEqualizer[T]

def defaultEquality[A]: Equality[A]

final def eq(arg0: AnyRef): Boolean

def equalDataFrames(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 equalSchema(expected: StructType, result: StructType): Unit

Compares the schema

def equals(arg0: Any): Boolean

final def execute: Unit

final def execute(testName: String, configMap: ConfigMap, color: Boolean, durations: Boolean, shortstacks: Boolean, fullstacks: Boolean, stats: Boolean): Unit

def expectedTestCount(filter: Filter): Int

def fail(cause: Throwable): Nothing

def fail(message: String, cause: Throwable): Nothing

def fail(message: String): Nothing

def fail(): Nothing

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def ignore(testName: String, testTags: Tag*)(testFun: ⇒ Unit): Unit

def info: Informer

def intercept[T <: AnyRef](f: ⇒ Any)(implicit manifest: Manifest[T]): T

final def isInstanceOf[T0]: Boolean

def jsc(): JavaSparkContext

def lowPriorityConversionCheckedConstraint[A, B](implicit equivalenceOfB: Equivalence[B], cnv: (A) ⇒ B): Constraint[A, B]

def lowPriorityTypeCheckedConstraint[A, B](implicit equivalenceOfB: Equivalence[B], ev: <:<[A, B]): Constraint[A, B]

def markup: Documenter

val maxUnequalRowsToShow: Int

final def ne(arg0: AnyRef): Boolean

def nestedSuites: IndexedSeq[Suite]

def note: Notifier

final def notify(): Unit

final def notifyAll(): Unit

def pending: PendingNothing

def pendingUntilFixed(f: ⇒ Unit): Unit

final def registerIgnoredTest(testText: String, testTags: Tag*)(testFun: ⇒ Unit): Unit

final def registerTest(testText: String, testTags: Tag*)(testFun: ⇒ Unit): Unit

def rerunner: Option[String]

def run(testName: Option[String], args: Args): Status

final def run(testName: Option[String], reporter: Reporter, stopper: Stopper, filter: Filter, configMap: Map[String, Any], distributor: Option[Distributor], tracker: Tracker): Status

def runBefore(): Unit

def runNestedSuites(args: Args): Status

def runTest(testName: String, args: Args): Status

def runTests(testName: Option[String], args: Args): Status

def sc(): SparkContext

def sqlContext: HiveContext

final val styleName: String

def suiteId: String

def suiteName: String

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

def tags: Map[String, Set[String]]

def test(testName: String, testTags: Tag*)(testFun: ⇒ Unit): Unit

def testDataFor(testName: String, theConfigMap: ConfigMap): TestData

def testNames: Set[String]

def testsFor(unit: Unit): Unit

def toString(): String

def trap[T](f: ⇒ T): Throwable

def typeCheckedConstraint[A, B](implicit equivalenceOfA: Equivalence[A], ev: <:<[B, A]): Constraint[A, B]

implicit def unconstrainedEquality[A, B](implicit equalityOfA: Equality[A]): Constraint[A, B]

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def withClue[T](clue: Any)(fun: ⇒ T): T

def withFixture(test: NoArgTest): Outcome

def assert(o: Option[String]): Unit

def assert(o: Option[String], clue: Any): Unit

def assume(o: Option[String]): Unit

def assume(o: Option[String], clue: Any): Unit

def expect(expected: Any)(actual: Any): Unit

def expect(expected: Any, clue: Any)(actual: Any): Unit

def expectResult(expected: Any)(actual: Any): Unit

def expectResult(expected: Any, clue: Any)(actual: Any): Unit