spark.jobserver

JobCache

Related Doc: package jobserver

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: JobDAO, sparkContext: SparkContext, loader: ContextURLClassLoader)

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

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

    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

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