Class

spark.jobserver

JobCache

Related Doc: package jobserver

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class JobCache extends AnyRef

A cache for SparkJob classes. A lot of times jobs are run repeatedly, and especially for low-latency jobs, why retrieve the jar and load it every single time?

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Instance Constructors

  1. new JobCache(maxEntries: Int, dao: ActorRef, sparkContext: SparkContext, loader: ContextURLClassLoader)

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Value Members

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

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  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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  6. implicit val daoAskTimeout: Timeout

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def getSparkJob(appName: String, uploadTime: DateTime, classPath: String): (JobJarInfo, Boolean)

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    Retrieves the given SparkJob class from the cache if it's there, otherwise use the DAO to retrieve it.

    Retrieves the given SparkJob class from the cache if it's there, otherwise use the DAO to retrieve it.

    appName

    the appName under which the jar was uploaded

    uploadTime

    the upload time for the version of the jar wanted

    classPath

    the fully qualified name of the class/object to load

  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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