Object

spark.jobserver

HiveLoaderJob

Related Doc: package jobserver

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object HiveLoaderJob extends SparkHiveJob

A test job that accepts a HiveContext, as opposed to the regular SparkContext. Initializes some dummy data into a table, reads it back out, and returns a count (Will create Hive metastore at job-server/metastore_db if Hive isn't configured)

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SparkHiveJob, SparkJobBase, AnyRef, Any
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Inherited
  1. HiveLoaderJob
  2. SparkHiveJob
  3. SparkJobBase
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Visibility
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Type Members

  1. type C = HiveContext

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    Definition Classes
    SparkHiveJob → SparkJobBase

Value Members

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

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    AnyRef → Any

  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. val loadPath: String

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

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    Definition Classes
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  14. final def notify(): Unit

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    Definition Classes
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  15. final def notifyAll(): Unit

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    Definition Classes
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  16. def runJob(hive: HiveContext, config: 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.

    returns

    the job result

    Definition Classes
    HiveLoaderJob → SparkJobBase

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

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    Definition Classes
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  18. val tableArgs: String

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  19. val tableAs: String

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  20. val tableColFormat: String

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  21. val tableCreate: String

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  22. val tableMapFormat: String

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  23. val tableRowFormat: String

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  24. def toString(): String

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    Definition Classes
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  25. def validate(hive: HiveContext, 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
    HiveLoaderJob → SparkJobBase

  26. final def wait(): Unit

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    Annotations
    @throws( ... )

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

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    @throws( ... )

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

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Inherited from SparkHiveJob

Inherited from SparkJobBase

Inherited from AnyRef

Inherited from Any

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