object StreamingContext extends Logging
StreamingContext object contains a number of utility functions related to the StreamingContext class.
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- @deprecated
- Deprecated
(Since version Spark 3.4.0) DStream is deprecated. Migrate to Structured Streaming.
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- StreamingContext.scala
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- def getActive(): Option[StreamingContext]
Get the currently active context, if there is one.
Get the currently active context, if there is one. Active means started but not stopped.
- def getActiveOrCreate(checkpointPath: String, creatingFunc: () => StreamingContext, hadoopConf: Configuration = SparkHadoopUtil.get.conf, createOnError: Boolean = false): StreamingContext
Either get the currently active StreamingContext (that is, started but not stopped), OR recreate a StreamingContext from checkpoint data in the given path.
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.
- def getActiveOrCreate(creatingFunc: () => StreamingContext): StreamingContext
Either return the "active" StreamingContext (that is, started but not stopped), or create a new StreamingContext that is
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
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- 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 providedcreatingFunc.- 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
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- def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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- def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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- 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
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- def logDebug(msg: => String, throwable: Throwable): Unit
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- def logDebug(entry: LogEntry, throwable: Throwable): Unit
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- def logDebug(entry: LogEntry): Unit
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- def logDebug(msg: => String): Unit
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- def logError(msg: => String, throwable: Throwable): Unit
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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(entry: LogEntry, throwable: Throwable): Unit
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- def logInfo(entry: LogEntry): Unit
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- def logName: String
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- def logTrace(msg: => String, throwable: Throwable): Unit
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- def logTrace(entry: LogEntry, throwable: Throwable): Unit
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- def logTrace(entry: LogEntry): Unit
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- def logWarning(msg: => String, throwable: Throwable): Unit
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- def logWarning(entry: LogEntry, throwable: Throwable): Unit
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- def withLogContext(context: HashMap[String, String])(body: => Unit): Unit
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- Deprecated
(Since version 9)