SparkStreamingOnceMode

Spark streaming execution mode uses Spark Structured Streaming to incrementally execute data loads (trigger=Trigger.Once) and keep track of processed data. This mode needs a DataObject implementing CanCreateStreamingDataFrame and works only with SparkSubFeeds.

checkpointLocation: location for checkpoints of streaming query to keep state
inputOptions: additional option to apply when reading streaming source. This overwrites options set by the DataObjects.
outputOptions: additional option to apply when writing to streaming sink. This overwrites options set by the DataObjects.

Linear Supertypes

Serializable, Serializable, Product, Equals, ExecutionMode, SmartDataLakeLogger, AnyRef, Any

Instance Constructors

new SparkStreamingOnceMode(checkpointLocation: String, inputOptions: Map[String, String] = Map(), outputOptions: Map[String, String] = Map(), outputMode: OutputMode = OutputMode.Append)

checkpointLocation
location for checkpoints of streaming query to keep state
inputOptions
additional option to apply when reading streaming source. This overwrites options set by the DataObjects.
outputOptions
additional option to apply when writing to streaming sink. This overwrites options set by the DataObjects.

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 apply(actionId: ActionObjectId, mainInput: DataObject, mainOutput: DataObject, subFeed: SubFeed)(implicit session: SparkSession, context: ActionPipelineContext): Option[(Seq[PartitionValues], Option[String])]

Definition Classes
ExecutionMode
def applyCondition: Option[String]

Definition Classes
ExecutionMode
final def asInstanceOf[T0]: T0

Definition Classes
Any
val checkpointLocation: String

location for checkpoints of streaming query to keep state
def clone(): AnyRef

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

Definition Classes
AnyRef
final def evaluateApplyCondition(actionId: ActionObjectId, subFeed: SubFeed)(implicit session: SparkSession, context: ActionPipelineContext): Option[Boolean]

Definition Classes
ExecutionMode
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
val inputOptions: Map[String, String]

additional option to apply when reading streaming source.
additional option to apply when reading streaming source. This overwrites options set by the DataObjects.
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
lazy val logger: Logger

Attributes
protected
Definition Classes
SmartDataLakeLogger
def mainInputOutputNeeded: Boolean

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val outputMode: OutputMode
val outputOptions: Map[String, String]

additional option to apply when writing to streaming sink.
additional option to apply when writing to streaming sink. This overwrites options set by the DataObjects.
def prepare(actionId: ActionObjectId)(implicit session: SparkSession, context: ActionPipelineContext): Unit

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

Definition Classes
AnyRef
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 definitions

case class SparkStreamingOnceMode(checkpointLocation: String, inputOptions: Map[String, String] = Map(), outputOptions: Map[String, String] = Map(), outputMode: OutputMode = OutputMode.Append) extends ExecutionMode with Product with Serializable

Instance Constructors

new SparkStreamingOnceMode(checkpointLocation: String, inputOptions: Map[String, String] = Map(), outputOptions: Map[String, String] = Map(), outputMode: OutputMode = OutputMode.Append)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def apply(actionId: ActionObjectId, mainInput: DataObject, mainOutput: DataObject, subFeed: SubFeed)(implicit session: SparkSession, context: ActionPipelineContext): Option[(Seq[PartitionValues], Option[String])]

def applyCondition: Option[String]

final def asInstanceOf[T0]: T0

val checkpointLocation: String

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

final def evaluateApplyCondition(actionId: ActionObjectId, subFeed: SubFeed)(implicit session: SparkSession, context: ActionPipelineContext): Option[Boolean]

def finalize(): Unit

final def getClass(): Class[_]

val inputOptions: Map[String, String]

final def isInstanceOf[T0]: Boolean

lazy val logger: Logger

def mainInputOutputNeeded: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val outputMode: OutputMode

val outputOptions: Map[String, String]

def prepare(actionId: ActionObjectId)(implicit session: SparkSession, context: ActionPipelineContext): Unit

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

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from ExecutionMode

Inherited from SmartDataLakeLogger

Inherited from AnyRef

Inherited from Any

Ungrouped