DatasetGenerator

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
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final def ==(arg0: Any): Boolean

Definition Classes
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def arbitraryDataset[T](sqlCtx: SQLContext, minPartitions: Int = 1)(generator: ⇒ Gen[T])(implicit arg0: ClassTag[T], arg1: Encoder[T]): Arbitrary[Dataset[T]]

Generate an Dataset Generator of the desired type.
Generate an Dataset Generator of the desired type. Attempt to try different number of partitions so as to catch problems with empty partitions, etc. minPartitions defaults to 1, but when generating data too large for a single machine choose a larger value.
sqlCtx
Spark sql Context
minPartitions
defaults to 1
generator
used to create the generator. This function will be used to create the generator as many times as required.
returns
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
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Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

Definition Classes
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def equals(arg0: Any): Boolean

Definition Classes
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def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def genDataset[T](sqlCtx: SQLContext, minPartitions: Int = 1)(generator: ⇒ Gen[T])(implicit arg0: ClassTag[T], arg1: Encoder[T]): Gen[Dataset[T]]

Generate an Dataset Generator of the desired type.
Generate an Dataset Generator of the desired type. Attempt to try different number of partitions so as to catch problems with empty partitions, etc. minPartitions defaults to 1, but when generating data too large for a single machine choose a larger value.
sqlCtx
Spark sql Context
minPartitions
defaults to 1
generator
used to create the generator. This function will be used to create the generator as many times as required.
returns
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
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final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
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final def notify(): Unit

Definition Classes
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final def notifyAll(): Unit

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

Definition Classes
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def toString(): String

Definition Classes
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final def wait(): Unit

Definition Classes
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Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package testing

object DatasetGenerator

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def arbitraryDataset[T](sqlCtx: SQLContext, minPartitions: Int = 1)(generator: ⇒ Gen[T])(implicit arg0: ClassTag[T], arg1: Encoder[T]): Arbitrary[Dataset[T]]

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def genDataset[T](sqlCtx: SQLContext, minPartitions: Int = 1)(generator: ⇒ Gen[T])(implicit arg0: ClassTag[T], arg1: Encoder[T]): Gen[Dataset[T]]

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

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

Inherited from AnyRef

Inherited from Any

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