SnappyStreamingContext

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def getActive: Option[SnappyStreamingContext]

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

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

:: 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: () ⇒ SnappyStreamingContext): SnappyStreamingContext

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

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

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def getInstance(): Option[SnappyStreamingContext]

:: Experimental ::
:: Experimental ::
Get the currently created context, it may be started or not, but never stopped.

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

Either recreate a SnappyStreamingContext from checkpoint data or create a new SnappyStreamingContext.
Either recreate a SnappyStreamingContext from checkpoint data or create a new SnappyStreamingContext. If checkpoint data exists in the provided checkpointPath, then SnappyStreamingContext 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 SnappyStreamingContext
hadoopConf
Optional Hadoop configuration if necessary for reading from the file system
createOnError
Optional, whether to create a new SnappyStreamingContext if there is an error in reading checkpoint data. By default, an exception will be thrown on error.
def getOrCreateWithUseCredential(checkpointPath: String, creatingFunc: () ⇒ SnappyStreamingContext, currentSession: SnappySession, hadoopConf: Configuration = SparkHadoopUtil.get.conf, createOnError: Boolean = false): SnappyStreamingContext

Either recreate a SnappyStreamingContext from checkpoint data or create a new SnappyStreamingContext.
Either recreate a SnappyStreamingContext from checkpoint data or create a new SnappyStreamingContext. If checkpoint data exists in the provided checkpointPath, then SnappyStreamingContext 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 SnappyStreamingContext
currentSession
Current SnappySession instance from which to use the credentials
hadoopConf
Optional Hadoop configuration if necessary for reading from the file system
createOnError
Optional, whether to create a new SnappyStreamingContext if there is an error in reading checkpoint data. By default, an exception will be thrown on error.
def hashCode(): Int

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def initializeLogIfNecessary(): Unit

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final def isDebugEnabled: Boolean

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def logError(msg: ⇒ String): Unit

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

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def logInfo(msg: ⇒ String): Unit

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def logName: String

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

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def logWarning(msg: ⇒ String): Unit

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final var log_: Logger

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Related Docs: class SnappyStreamingContext | package streaming

object SnappyStreamingContext extends Logging with Serializable

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

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[SnappyStreamingContext]

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

def getActiveOrCreate(creatingFunc: () ⇒ SnappyStreamingContext): SnappyStreamingContext

final def getClass(): Class[_]

def getInstance(): Option[SnappyStreamingContext]

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

def getOrCreateWithUseCredential(checkpointPath: String, creatingFunc: () ⇒ SnappyStreamingContext, currentSession: SnappySession, hadoopConf: Configuration = SparkHadoopUtil.get.conf, createOnError: Boolean = false): SnappyStreamingContext

def hashCode(): Int

def initializeLogIfNecessary(): Unit

final def isDebugEnabled: Boolean

final def isInfoEnabled: Boolean

final def isInstanceOf[T0]: Boolean

final def isTraceEnabled: Boolean

final var levelFlags: Int

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 var log_: Logger

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def resetLogger(): 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

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