spark.jobserver.util

LRUCache

Related Doc: package util

class LRUCache[K, V] extends AnyRef

A convenience class to define a Least-Recently-Used Cache with a maximum size. The oldest entries by time of last access will be removed when the number of entries exceeds cacheSize. For definitions of cacheSize and loadingFactor, see the docs for java.util.LinkedHashMap

See also

LinkedHashMap

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Instance Constructors

  1. new LRUCache(cacheSize: Int, loadingFactor: Float = 0.75F)

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 cacheHitRatio: Double

  6. def clone(): AnyRef

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

  7. def containsKey(k: K): Boolean

    returns

    TRUE if the cache contains the key

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

  11. def get(k: K): Option[V]

  12. def get(k: K, v: ⇒ V): V

    returns

    the value in cache or load a new value into cache

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. def put(k: K, v: V): V

  20. def size: Int

    size of the cache.

    size of the cache. This is an exact number and runs in constant time

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

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  22. def toString(): String

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  23. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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