Class

org.apache.spark.storage

BasicBlockReplicationPolicy

Related Doc: package storage

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class BasicBlockReplicationPolicy extends BlockReplicationPolicy with Logging

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@DeveloperApi()
Source
BlockReplicationPolicy.scala
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  1. new BasicBlockReplicationPolicy()

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

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  2. final def ##(): Int

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  11. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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  12. final def isInstanceOf[T0]: Boolean

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  13. def isTraceEnabled(): Boolean

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  14. def log: Logger

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  15. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  16. def logDebug(msg: ⇒ String): Unit

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  17. def logError(msg: ⇒ String, throwable: Throwable): Unit

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  18. def logError(msg: ⇒ String): Unit

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  19. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  20. def logInfo(msg: ⇒ String): Unit

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  21. def logName: String

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  22. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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  23. def logTrace(msg: ⇒ String): Unit

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  24. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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  25. def logWarning(msg: ⇒ String): Unit

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

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  27. final def notify(): Unit

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  28. final def notifyAll(): Unit

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  29. def prioritize(blockManagerId: BlockManagerId, peers: Seq[BlockManagerId], peersReplicatedTo: HashSet[BlockManagerId], blockId: BlockId, numReplicas: Int): List[BlockManagerId]

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    Method to prioritize a bunch of candidate peers of a block manager.

    Method to prioritize a bunch of candidate peers of a block manager. This implementation replicates the behavior of block replication in HDFS. For a given number of replicas needed, we choose a peer within the rack, one outside and remaining blockmanagers are chosen at random, in that order till we meet the number of replicas needed. This works best with a total replication factor of 3, like HDFS.

    blockManagerId

    Id of the current BlockManager for self identification

    peers

    A list of peers of a BlockManager

    peersReplicatedTo

    Set of peers already replicated to

    blockId

    BlockId of the block being replicated. This can be used as a source of randomness if needed.

    numReplicas

    Number of peers we need to replicate to

    returns

    A prioritized list of peers. Lower the index of a peer, higher its priority

    Definition Classes
    BasicBlockReplicationPolicyBlockReplicationPolicy
  30. final def synchronized[T0](arg0: ⇒ T0): T0

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  31. def toString(): String

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  32. final def wait(): Unit

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

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

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Inherited from Logging

Inherited from BlockReplicationPolicy

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