class
SparkEnv extends AnyRef
Instance Constructors
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new
SparkEnv(executorId: String, actorSystem: ActorSystem, serializerManager: SerializerManager, serializer: Serializer, closureSerializer: Serializer, cacheManager: CacheManager, mapOutputTracker: MapOutputTracker, shuffleFetcher: ShuffleFetcher, broadcastManager: BroadcastManager, blockManager: BlockManager, connectionManager: ConnectionManager, httpFileServer: HttpFileServer, sparkFilesDir: String, metricsSystem: MetricsSystem)
Value Members
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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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val
actorSystem: ActorSystem
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final
def
asInstanceOf[T0]: T0
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val
blockManager: BlockManager
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val
broadcastManager: BroadcastManager
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val
cacheManager: CacheManager
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def
clone(): AnyRef
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val
closureSerializer: Serializer
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val
connectionManager: ConnectionManager
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def
createPythonWorker(pythonExec: String, envVars: Map[String, String]): Socket
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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val
executorId: String
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def
finalize(): Unit
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final
def
getClass(): java.lang.Class[_]
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def
hashCode(): Int
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val
httpFileServer: HttpFileServer
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final
def
isInstanceOf[T0]: Boolean
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val
mapOutputTracker: MapOutputTracker
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val
metricsSystem: MetricsSystem
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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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-
val
serializerManager: SerializerManager
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val
shuffleFetcher: ShuffleFetcher
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val
sparkFilesDir: String
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def
stop(): 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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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
Inherited from AnyRef
Inherited from Any
Holds all the runtime environment objects for a running Spark instance (either master or worker), including the serializer, Akka actor system, block manager, map output tracker, etc. Currently Spark code finds the SparkEnv through a thread-local variable, so each thread that accesses these objects needs to have the right SparkEnv set. You can get the current environment with SparkEnv.get (e.g. after creating a SparkContext) and set it with SparkEnv.set.