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org.apache.spark.storage

BasicBlockReplicationPolicy

class BasicBlockReplicationPolicy extends BlockReplicationPolicy with Logging

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  1. new BasicBlockReplicationPolicy()

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  11. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean = false): Boolean
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  12. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  30. def prioritize(blockManagerId: BlockManagerId, peers: Seq[BlockManagerId], peersReplicatedTo: HashSet[BlockManagerId], blockId: BlockId, numReplicas: Int): List[BlockManagerId]

    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
  31. final def synchronized[T0](arg0: ⇒ T0): T0
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Inherited from Logging

Inherited from BlockReplicationPolicy

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