NamedObjectsTestJob

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. final def ==(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

4. def addOrReplaceJar(sc: C, jarName: String, jarPath: String): Unit

   

   Definition Classes

   SparkJobBase

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. implicit def broadcastPersister[U]: NamedObjectPersister[NamedBroadcast[U]]

   

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

8. implicit def dataFramePersister: NamedObjectPersister[NamedDataFrame]

   

9. final def eq(arg0: AnyRef): Boolean

   

   Definition Classes

   AnyRef

10. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

11. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

12. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

13. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

14. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

15. def namedObjects: NamedObjects

    

    Definition Classes

    NamedObjectSupport

16. val namedObjectsPrivate: AtomicReference[NamedObjects]

    

    Definition Classes

    NamedObjectSupport

17. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

18. final def notify(): Unit

    

    Definition Classes

    AnyRef

19. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

20. implicit def rddPersister: NamedObjectPersister[NamedRDD[Row]]

    

21. def runJob(sc: SparkContext, config: Config): Array[String]

    

    This is the entry point for a Spark Job Server to execute Spark jobs.

    This is the entry point for a Spark Job Server to execute Spark jobs. This function should create or reuse RDDs and return the result at the end, which the Job Server will cache or display.

    sc

    a SparkContext or similar for the job. May be reused across jobs.

    returns

    the job result

    Definition Classes

    NamedObjectsTestJob → SparkJobBase

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

    

    Definition Classes

    AnyRef

23. def toString(): String

    

    Definition Classes

    AnyRef → Any

24. def validate(sql: SparkContext, config: Config): SparkJobValidation

    

    This method is called by the job server to allow jobs to validate their input and reject invalid job requests.

    This method is called by the job server to allow jobs to validate their input and reject invalid job requests. If SparkJobInvalid is returned, then the job server returns 400 to the user. NOTE: this method should return very quickly. If it responds slowly then the job server may time out trying to start this job.

    returns

    either SparkJobValid or SparkJobInvalid

    Definition Classes

    NamedObjectsTestJob → SparkJobBase

25. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

27. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )