ActionScheduler

Abstract Value Members

abstract def availableExecutionPools: Option[Set[String]]

finds execution pools that have slots to run actions.
finds execution pools that have slots to run actions.
returns
None if none of the pools are available for scheduling and Some(Set[AVAILABLE POOL NAME]) - all pools that are available for scheduling
abstract def dropRunning(poolNames: Set[String], from: Seq[DataFlowAction]): Seq[DataFlowAction]

Removes actions that are already running in the specified set pools.
Removes actions that are already running in the specified set pools.
poolNames
pool names to which the from actions belong to
from
list of actions from poolNames that DataFlow knows have not been marked as executed and can be scheduled
returns
list of actions that are not currently running
abstract def hasRunningActions: Boolean

Checks if there are actions running at all, regardless of the execution pool.
Checks if there are actions running at all, regardless of the execution pool.
returns
true if at least one action is running in any of the pools
abstract def schedule(poolName: String, action: DataFlowAction, entities: DataFlowEntities, flowContext: FlowContext, flowReporter: FlowReporter): ActionScheduler

Submits action into the specified execution pool.
Submits action into the specified execution pool.
poolName
pool into which to schedule the action
action
action to schedule
entities
action labels that have data
flowContext
object that allows access to the context of the flow and application
flowReporter
object that is used to signal start and end of the action execution
abstract def shutDown(): Try[ActionScheduler]

Executors must call it before exiting the execution of the flow to release resources.
abstract def waitToFinish(flowContext: FlowContext, flowReporter: FlowReporter): (ActionScheduler, Seq[(DataFlowAction, Try[ActionResult])])

Locks and waits for at least one action to finish running, can return more than one action if they have finished and their results are available.
Locks and waits for at least one action to finish running, can return more than one action if they have finished and their results are available.
flowContext
object that allows access to the context of the flow and application
flowReporter
object that is used to signal start and end of the action execution

Concrete Value Members

final def !=(arg0: Any): Boolean

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Related Doc: package dataflow

trait ActionScheduler extends AnyRef

Abstract Value Members

abstract def availableExecutionPools: Option[Set[String]]

abstract def dropRunning(poolNames: Set[String], from: Seq[DataFlowAction]): Seq[DataFlowAction]

abstract def hasRunningActions: Boolean

abstract def schedule(poolName: String, action: DataFlowAction, entities: DataFlowEntities, flowContext: FlowContext, flowReporter: FlowReporter): ActionScheduler

abstract def shutDown(): Try[ActionScheduler]

abstract def waitToFinish(flowContext: FlowContext, flowReporter: FlowReporter): (ActionScheduler, Seq[(DataFlowAction, Try[ActionResult])])

Concrete 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

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

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

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Inherited from Any

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