spark.jobserver

SparkHiveJob

trait SparkHiveJob extends SparkJobBase

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SparkJobBase, AnyRef, Any
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Type Members

  1. type C = HiveContext

    Definition Classes
    SparkHiveJobSparkJobBase

Abstract Value Members

  1. abstract def runJob(sc: C, jobConfig: Config): Any

    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.

    jobConfig

    the Typesafe Config object passed into the job request

    returns

    the job result

    Definition Classes
    SparkJobBase
  2. abstract def validate(sc: C, 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
    SparkJobBase

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

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

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  3. final def ##(): Int

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  10. def finalize(): Unit

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

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  15. final def notify(): Unit

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

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

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Inherited from SparkJobBase

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