JavaStreamingSuiteBase

Instance Constructors

new JavaStreamingSuiteBase()

Value Members

final def !=(arg0: Any): Boolean

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

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

Definition Classes
AnyRef → Any
def actuallyWait: Boolean

Definition Classes
StreamingSuiteCommon
final def asInstanceOf[T0]: T0

Definition Classes
Any
def batchDuration: Duration

Definition Classes
StreamingSuiteCommon
lazy val checkpointDir: String

Definition Classes
StreamingSuiteCommon
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def compareArrays[U](i1: Array[U], i2: Array[U]): Unit

Utility wrapper around assertArrayEquals that resolves the types
Utility wrapper around assertArrayEquals that resolves the types

Definition Classes
JavaSuiteBase
def conf: SparkConf

Definition Classes
JavaStreamingSuiteBase → StreamingSuiteCommon → SharedJavaSparkContext → SparkContextProvider
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val eventuallyTimeout: Timeout

Definition Classes
StreamingSuiteCommon
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def framework: String

Definition Classes
StreamingSuiteCommon
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def jsc(): JavaSparkContext

Definition Classes
SharedJavaSparkContext
def log: Logger

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logName: String

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def master: String

Definition Classes
StreamingSuiteCommon
def maxWaitTimeMillis: Int

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def numInputPartitions: Int

Definition Classes
StreamingSuiteCommon
def runBefore(): Unit

Definition Classes
SharedJavaSparkContext
def sc(): SparkContext

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

Definition Classes
AnyRef
def testOperation[U, V, W](input1: List[List[U]], input2: List[List[V]], operation: Function2[JavaDStream[U], JavaDStream[V], JavaDStream[W]], expectedOutput: List[List[W]], ordered: Boolean): Unit

Test binary DStream operation with two lists of inputs, with number of batches to run same as the number of input values.
Test binary DStream operation with two lists of inputs, with number of batches to run same as the number of input values. The size of the two input lists Should be the same. You can simulate the input batch as a List of values or as null to simulate empty batch.
input1
First sequence of input collections
input2
Second sequence of input collections
operation
Binary DStream operation to be applied to the 2 inputs
expectedOutput
Sequence of expected output collections
ordered
Compare output values with expected output values within the same output batch ordered or unOrdered. Comparing doubles may not work well in case of unordered.
def testOperation[U, V, W](input1: List[List[U]], input2: List[List[V]], operation: Function2[JavaDStream[U], JavaDStream[V], JavaDStream[W]], expectedOutput: List[List[W]]): Unit

Test binary DStream operation with two lists of inputs, with number of batches to run same as the number of input values.
Test binary DStream operation with two lists of inputs, with number of batches to run same as the number of input values. The size of the two input lists Should be the same. You can simulate the input batch as a List of values or as null to simulate empty batch.
input1
First sequence of input collections
input2
Second sequence of input collections
operation
Binary DStream operation to be applied to the 2 inputs
expectedOutput
Sequence of expected output collections
def testOperation[U, V](input: List[List[U]], operation: Function[JavaDStream[U], JavaDStream[V]], expectedOutput: List[List[V]], ordered: Boolean): Unit

Test unary DStream operation with a list of inputs, with number of batches to run same as the number of input values.
Test unary DStream operation with a list of inputs, with number of batches to run same as the number of input values. You can simulate the input batch as a List of values or as null to simulate empty batch.
input
Sequence of input collections
operation
Binary DStream operation to be applied to the 2 inputs
expectedOutput
Sequence of expected output collections
ordered
Compare output values with expected output values within the same output batch ordered or unordered. Comparing doubles may not work well in case of unordered.
def testOperation[U, V](input: List[List[U]], operation: Function[JavaDStream[U], JavaDStream[V]], expectedOutput: List[List[V]]): Unit

Test unary DStream operation with a list of inputs, with number of batches to run same as the number of input values.
Test unary DStream operation with a list of inputs, with number of batches to run same as the number of input values. You can simulate the input batch as a List of values or as null to simulate empty batch.
input
Sequence of input collections
operation
Binary DStream operation to be applied to the 2 inputs
expectedOutput
Sequence of expected output collections
def toString(): String

Definition Classes
AnyRef → Any
def useManualClock: Boolean

Definition Classes
StreamingSuiteCommon
def verifyOutput[V](output: Seq[Seq[V]], expectedOutput: Seq[Seq[V]], ordered: Boolean)(implicit arg0: ClassTag[V]): Unit

Verify whether the output values after running a DStream operation is same as the expected output values, by comparing the output collections either as lists (order matters) or sets (order does not matter)
final def wait(): Unit

Definition Classes
AnyRef
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

class JavaStreamingSuiteBase extends JavaSuiteBase with StreamingSuiteCommon

Instance Constructors

new JavaStreamingSuiteBase()

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def actuallyWait: Boolean

final def asInstanceOf[T0]: T0

def batchDuration: Duration

lazy val checkpointDir: String

def clone(): AnyRef

def compareArrays[U](i1: Array[U], i2: Array[U]): Unit

def conf: SparkConf

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

val eventuallyTimeout: Timeout

def finalize(): Unit

def framework: String

final def getClass(): Class[_]

def hashCode(): Int

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

final def isInstanceOf[T0]: Boolean

def isTraceEnabled(): Boolean

def jsc(): JavaSparkContext

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

def master: String

def maxWaitTimeMillis: Int

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def numInputPartitions: Int

def runBefore(): Unit

def sc(): SparkContext

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

def testOperation[U, V, W](input1: List[List[U]], input2: List[List[V]], operation: Function2[JavaDStream[U], JavaDStream[V], JavaDStream[W]], expectedOutput: List[List[W]], ordered: Boolean): Unit

def testOperation[U, V, W](input1: List[List[U]], input2: List[List[V]], operation: Function2[JavaDStream[U], JavaDStream[V], JavaDStream[W]], expectedOutput: List[List[W]]): Unit

def testOperation[U, V](input: List[List[U]], operation: Function[JavaDStream[U], JavaDStream[V]], expectedOutput: List[List[V]], ordered: Boolean): Unit

def testOperation[U, V](input: List[List[U]], operation: Function[JavaDStream[U], JavaDStream[V]], expectedOutput: List[List[V]]): Unit

def toString(): String

def useManualClock: Boolean

def verifyOutput[V](output: Seq[Seq[V]], expectedOutput: Seq[Seq[V]], ordered: Boolean)(implicit arg0: ClassTag[V]): Unit

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from StreamingSuiteCommon

Inherited from Logging

Inherited from Logging

Inherited from JavaSuiteBase

Inherited from SharedJavaSparkContext

Inherited from SparkContextProvider

Inherited from AnyRef

Inherited from Any

Ungrouped