Class

spark.jobserver

JavaSparkJob

Related Doc: package jobserver

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class JavaSparkJob extends SparkJob

A class to make Java jobs easier to write. In Java: public class MySparkJob extends JavaSparkJob {

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SparkJob, SparkJobBase, AnyRef, Any
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  1. JavaSparkJob
  2. SparkJob
  3. SparkJobBase
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Visibility
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Instance Constructors

  1. new JavaSparkJob()

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Type Members

  1. type C = SparkContext

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    Definition Classes
    SparkJobSparkJobBase

Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. def clone(): AnyRef

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

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    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit

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

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    Definition Classes
    AnyRef → Any
  10. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  11. def invalidate(jsc: JavaSparkContext, config: Config): String

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    Checks the config and returns an error message, or null if the config is fine.

    Checks the config and returns an error message, or null if the config is fine. The error message will be returned to the user as a 404 HTTP error code.

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  14. final def notify(): Unit

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    Definition Classes
    AnyRef
  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  16. def runJob(jsc: JavaSparkContext, jobConfig: Config): Any

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    The main class that carries out the Spark job.

    The main class that carries out the Spark job. The results will be converted to JSON and emitted (but NOT persisted).

  17. def runJob(sc: SparkContext, jobConfig: Config): Any

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

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    Definition Classes
    AnyRef
  19. def toString(): String

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    Definition Classes
    AnyRef → Any
  20. def validate(sc: SparkContext, config: Config): SparkJobValidation

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    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
    JavaSparkJobSparkJobBase
  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from SparkJob

Inherited from SparkJobBase

Inherited from AnyRef

Inherited from Any

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