StreamingContext

Value Members

final def !=(arg0: AnyRef): Boolean

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final def !=(arg0: Any): Boolean

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final def ##(): Int

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final def ==(arg0: AnyRef): Boolean

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final def ==(arg0: Any): Boolean

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final def asInstanceOf[T0]: T0

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def clone(): AnyRef

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

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def equals(arg0: Any): Boolean

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def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
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@throws( classOf[java.lang.Throwable] )
def getActive(): Option[StreamingContext]

:: Experimental ::
:: Experimental ::
Get the currently active context, if there is one. Active means started but not stopped.

Annotations
@Experimental()
def getActiveOrCreate(checkpointPath: String, creatingFunc: () ⇒ StreamingContext, hadoopConf: Configuration = SparkHadoopUtil.get.conf, createOnError: Boolean = false): StreamingContext

:: Experimental ::
:: Experimental ::
Either get the currently active StreamingContext (that is, started but not stopped), OR recreate a StreamingContext from checkpoint data in the given path. If checkpoint data does not exist in the provided, then create a new StreamingContext by calling the provided creatingFunc.
checkpointPath
Checkpoint directory used in an earlier StreamingContext program
creatingFunc
Function to create a new StreamingContext
hadoopConf
Optional Hadoop configuration if necessary for reading from the file system
createOnError
Optional, whether to create a new StreamingContext if there is an error in reading checkpoint data. By default, an exception will be thrown on error.

Annotations
@Experimental()
def getActiveOrCreate(creatingFunc: () ⇒ StreamingContext): StreamingContext

:: Experimental ::
:: Experimental ::
Either return the "active" StreamingContext (that is, started but not stopped), or create a new StreamingContext that is
creatingFunc
Function to create a new StreamingContext

Annotations
@Experimental()
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getOrCreate(checkpointPath: String, creatingFunc: () ⇒ StreamingContext, hadoopConf: Configuration = SparkHadoopUtil.get.conf, createOnError: Boolean = false): StreamingContext

Either recreate a StreamingContext from checkpoint data or create a new StreamingContext.
Either recreate a StreamingContext from checkpoint data or create a new StreamingContext. If checkpoint data exists in the provided checkpointPath, then StreamingContext will be recreated from the checkpoint data. If the data does not exist, then the StreamingContext will be created by called the provided creatingFunc.
checkpointPath
Checkpoint directory used in an earlier StreamingContext program
creatingFunc
Function to create a new StreamingContext
hadoopConf
Optional Hadoop configuration if necessary for reading from the file system
createOnError
Optional, whether to create a new StreamingContext if there is an error in reading checkpoint data. By default, an exception will be thrown on error.
def hashCode(): Int

Definition Classes
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final def isInstanceOf[T0]: Boolean

Definition Classes
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def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def jarOfClass(cls: Class[_]): Option[String]

Find the JAR from which a given class was loaded, to make it easy for users to pass their JARs to StreamingContext.
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

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

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

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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
final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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final def notifyAll(): Unit

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

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def toString(): String

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final def wait(): Unit

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

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

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Deprecated Value Members

def toPairDStreamFunctions[K, V](stream: DStream[(K, V)])(implicit kt: ClassTag[K], vt: ClassTag[V], ord: Ordering[K] = null): PairDStreamFunctions[K, V]

Annotations
@deprecated
Deprecated
(Since version 1.3.0)

object StreamingContext extends Logging

Value Members

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

def getActive(): Option[StreamingContext]

def getActiveOrCreate(checkpointPath: String, creatingFunc: () ⇒ StreamingContext, hadoopConf: Configuration = SparkHadoopUtil.get.conf, createOnError: Boolean = false): StreamingContext

def getActiveOrCreate(creatingFunc: () ⇒ StreamingContext): StreamingContext

final def getClass(): Class[_]

def getOrCreate(checkpointPath: String, creatingFunc: () ⇒ StreamingContext, hadoopConf: Configuration = SparkHadoopUtil.get.conf, createOnError: Boolean = false): StreamingContext

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def isTraceEnabled(): Boolean

def jarOfClass(cls: Class[_]): Option[String]

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

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

Deprecated Value Members

def toPairDStreamFunctions[K, V](stream: DStream[(K, V)])(implicit kt: ClassTag[K], vt: ClassTag[V], ord: Ordering[K] = null): PairDStreamFunctions[K, V]

Inherited from Logging

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