kafka.controller

KafkaController

class KafkaController extends Logging with KafkaMetricsGroup

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Instance Constructors

  1. new KafkaController(config: KafkaConfig, zkClient: ZkClient, brokerState: BrokerState)

Type Members

  1. class SessionExpirationListener extends IZkStateListener with Logging

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. final def asInstanceOf[T0]: T0

    Definition Classes
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  7. val brokerState: BrokerState

  8. def clientId: String

  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
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    @throws( ... )
  10. val config: KafkaConfig

  11. val controllerContext: ControllerContext

  12. def debug(msg: ⇒ String, e: ⇒ Throwable): Unit

    Definition Classes
    Logging
  13. def debug(e: ⇒ Throwable): Any

    Definition Classes
    Logging
  14. def debug(msg: ⇒ String): Unit

    Definition Classes
    Logging
  15. var deleteTopicManager: TopicDeletionManager

  16. def epoch: Int

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

    Definition Classes
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  18. def equals(arg0: Any): Boolean

    Definition Classes
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  19. def error(msg: ⇒ String, e: ⇒ Throwable): Unit

    Definition Classes
    Logging
  20. def error(e: ⇒ Throwable): Any

    Definition Classes
    Logging
  21. def error(msg: ⇒ String): Unit

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    Logging
  22. def fatal(msg: ⇒ String, e: ⇒ Throwable): Unit

    Definition Classes
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  23. def fatal(e: ⇒ Throwable): Any

    Definition Classes
    Logging
  24. def fatal(msg: ⇒ String): Unit

    Definition Classes
    Logging
  25. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  26. final def getClass(): Class[_]

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  27. def hashCode(): Int

    Definition Classes
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  28. def incrementControllerEpoch(zkClient: ZkClient): Unit

  29. def info(msg: ⇒ String, e: ⇒ Throwable): Unit

    Definition Classes
    Logging
  30. def info(e: ⇒ Throwable): Any

    Definition Classes
    Logging
  31. def info(msg: ⇒ String): Unit

    Definition Classes
    Logging
  32. def initiateReassignReplicasForTopicPartition(topicAndPartition: TopicAndPartition, reassignedPartitionContext: ReassignedPartitionsContext): Unit

  33. def isActive(): Boolean

    Returns true if this broker is the current controller.

  34. final def isInstanceOf[T0]: Boolean

    Definition Classes
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  35. var logIdent: String

    Attributes
    protected
    Definition Classes
    Logging
  36. lazy val logger: Logger

    Definition Classes
    Logging
  37. val loggerName: String

    Definition Classes
    Logging
  38. final def ne(arg0: AnyRef): Boolean

    Definition Classes
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  39. def newGauge[T](name: String, metric: Gauge[T], tags: Map[String, String] = Map.empty): Gauge[T]

    Definition Classes
    KafkaMetricsGroup
  40. def newHistogram(name: String, biased: Boolean = true, tags: Map[String, String] = Map.empty): Histogram

    Definition Classes
    KafkaMetricsGroup
  41. def newMeter(name: String, eventType: String, timeUnit: TimeUnit, tags: Map[String, String] = Map.empty): Meter

    Definition Classes
    KafkaMetricsGroup
  42. def newTimer(name: String, durationUnit: TimeUnit, rateUnit: TimeUnit, tags: Map[String, String] = Map.empty): Timer

    Definition Classes
    KafkaMetricsGroup
  43. final def notify(): Unit

    Definition Classes
    AnyRef
  44. final def notifyAll(): Unit

    Definition Classes
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  45. val offlinePartitionSelector: OfflinePartitionLeaderSelector

  46. def onBrokerFailure(deadBrokers: Seq[Int]): Unit

    This callback is invoked by the replica state machine's broker change listener with the list of failed brokers as input.

    This callback is invoked by the replica state machine's broker change listener with the list of failed brokers as input. It does the following - 1. Mark partitions with dead leaders as offline 2. Triggers the OnlinePartition state change for all new/offline partitions 3. Invokes the OfflineReplica state change on the input list of newly started brokers

    Note that we don't need to refresh the leader/isr cache for all topic/partitions at this point. This is because the partition state machine will refresh our cache for us when performing leader election for all new/offline partitions coming online.

  47. def onBrokerStartup(newBrokers: Seq[Int]): Unit

    This callback is invoked by the replica state machine's broker change listener, with the list of newly started brokers as input.

    This callback is invoked by the replica state machine's broker change listener, with the list of newly started brokers as input. It does the following - 1. Triggers the OnlinePartition state change for all new/offline partitions 2. It checks whether there are reassigned replicas assigned to any newly started brokers. If so, it performs the reassignment logic for each topic/partition.

    Note that we don't need to refresh the leader/isr cache for all topic/partitions at this point for two reasons: 1. The partition state machine, when triggering online state change, will refresh leader and ISR for only those partitions currently new or offline (rather than every partition this controller is aware of) 2. Even if we do refresh the cache, there is no guarantee that by the time the leader and ISR request reaches every broker that it is still valid. Brokers check the leader epoch to determine validity of the request.

  48. def onControllerFailover(): Unit

    This callback is invoked by the zookeeper leader elector on electing the current broker as the new controller.

    This callback is invoked by the zookeeper leader elector on electing the current broker as the new controller. It does the following things on the become-controller state change - 1. Register controller epoch changed listener 2. Increments the controller epoch 3. Initializes the controller's context object that holds cache objects for current topics, live brokers and leaders for all existing partitions. 4. Starts the controller's channel manager 5. Starts the replica state machine 6. Starts the partition state machine If it encounters any unexpected exception/error while becoming controller, it resigns as the current controller. This ensures another controller election will be triggered and there will always be an actively serving controller

  49. def onControllerResignation(): Unit

    This callback is invoked by the zookeeper leader elector when the current broker resigns as the controller.

    This callback is invoked by the zookeeper leader elector when the current broker resigns as the controller. This is required to clean up internal controller data structures

  50. def onNewPartitionCreation(newPartitions: Set[TopicAndPartition]): Unit

    This callback is invoked by the topic change callback with the list of failed brokers as input.

    This callback is invoked by the topic change callback with the list of failed brokers as input. It does the following - 1. Move the newly created partitions to the NewPartition state 2. Move the newly created partitions from NewPartition->OnlinePartition state

  51. def onNewTopicCreation(topics: Set[String], newPartitions: Set[TopicAndPartition]): Unit

    This callback is invoked by the partition state machine's topic change listener with the list of new topics and partitions as input.

    This callback is invoked by the partition state machine's topic change listener with the list of new topics and partitions as input. It does the following - 1. Registers partition change listener. This is not required until KAFKA-347 2. Invokes the new partition callback 3. Send metadata request with the new topic to all brokers so they allow requests for that topic to be served

  52. def onPartitionReassignment(topicAndPartition: TopicAndPartition, reassignedPartitionContext: ReassignedPartitionsContext): Unit

    This callback is invoked by the reassigned partitions listener.

    This callback is invoked by the reassigned partitions listener. When an admin command initiates a partition reassignment, it creates the /admin/reassign_partitions path that triggers the zookeeper listener. Reassigning replicas for a partition goes through a few steps listed in the code. RAR = Reassigned replicas OAR = Original list of replicas for partition AR = current assigned replicas

    1. Update AR in ZK with OAR + RAR. 2. Send LeaderAndIsr request to every replica in OAR + RAR (with AR as OAR + RAR). We do this by forcing an update of the leader epoch in zookeeper. 3. Start new replicas RAR - OAR by moving replicas in RAR - OAR to NewReplica state. 4. Wait until all replicas in RAR are in sync with the leader. 5 Move all replicas in RAR to OnlineReplica state. 6. Set AR to RAR in memory. 7. If the leader is not in RAR, elect a new leader from RAR. If new leader needs to be elected from RAR, a LeaderAndIsr will be sent. If not, then leader epoch will be incremented in zookeeper and a LeaderAndIsr request will be sent. In any case, the LeaderAndIsr request will have AR = RAR. This will prevent the leader from adding any replica in RAR - OAR back in the isr. 8. Move all replicas in OAR - RAR to OfflineReplica state. As part of OfflineReplica state change, we shrink the isr to remove OAR - RAR in zookeeper and sent a LeaderAndIsr ONLY to the Leader to notify it of the shrunk isr. After that, we send a StopReplica (delete = false) to the replicas in OAR - RAR. 9. Move all replicas in OAR - RAR to NonExistentReplica state. This will send a StopReplica (delete = false) to the replicas in OAR - RAR to physically delete the replicas on disk. 10. Update AR in ZK with RAR. 11. Update the /admin/reassign_partitions path in ZK to remove this partition. 12. After electing leader, the replicas and isr information changes. So resend the update metadata request to every broker.

    For example, if OAR = {1, 2, 3} and RAR = {4,5,6}, the values in the assigned replica (AR) and leader/isr path in ZK may go through the following transition. AR leader/isr {1,2,3} 1/{1,2,3} (initial state) {1,2,3,4,5,6} 1/{1,2,3} (step 2) {1,2,3,4,5,6} 1/{1,2,3,4,5,6} (step 4) {1,2,3,4,5,6} 4/{1,2,3,4,5,6} (step 7) {1,2,3,4,5,6} 4/{4,5,6} (step 8) {4,5,6} 4/{4,5,6} (step 10)

    Note that we have to update AR in ZK with RAR last since it's the only place where we store OAR persistently. This way, if the controller crashes before that step, we can still recover.

  53. def onPreferredReplicaElection(partitions: Set[TopicAndPartition], isTriggeredByAutoRebalance: Boolean = false): Unit

  54. val partitionStateMachine: PartitionStateMachine

  55. def removeMetric(name: String, tags: Map[String, String] = Map.empty): Unit

    Definition Classes
    KafkaMetricsGroup
  56. def removePartitionFromReassignedPartitions(topicAndPartition: TopicAndPartition): Unit

  57. def removePartitionsFromPreferredReplicaElection(partitionsToBeRemoved: Set[TopicAndPartition], isTriggeredByAutoRebalance: Boolean): Unit

  58. def removeReplicaFromIsr(topic: String, partition: Int, replicaId: Int): Option[LeaderIsrAndControllerEpoch]

    Removes a given partition replica from the ISR; if it is not the current leader and there are sufficient remaining replicas in ISR.

    Removes a given partition replica from the ISR; if it is not the current leader and there are sufficient remaining replicas in ISR.

    topic

    topic

    partition

    partition

    replicaId

    replica Id

    returns

    the new leaderAndIsr (with the replica removed if it was present), or None if leaderAndIsr is empty.

  59. val replicaStateMachine: ReplicaStateMachine

  60. def sendRequest(brokerId: Int, request: RequestOrResponse, callback: (RequestOrResponse) ⇒ Unit = null): Unit

  61. def sendUpdateMetadataRequest(brokers: Seq[Int], partitions: Set[TopicAndPartition] = Set.empty[TopicAndPartition]): Unit

    Send the leader information for selected partitions to selected brokers so that they can correctly respond to metadata requests

    Send the leader information for selected partitions to selected brokers so that they can correctly respond to metadata requests

    brokers

    The brokers that the update metadata request should be sent to

  62. def shutdown(): Unit

    Invoked when the controller module of a Kafka server is shutting down.

    Invoked when the controller module of a Kafka server is shutting down. If the broker was the current controller, it shuts down the partition and replica state machines. If not, those are a no-op. In addition to that, it also shuts down the controller channel manager, if one exists (i.e. if it was the current controller)

  63. def shutdownBroker(id: Int): Set[TopicAndPartition]

    On clean shutdown, the controller first determines the partitions that the shutting down broker leads, and moves leadership of those partitions to another broker that is in that partition's ISR.

    On clean shutdown, the controller first determines the partitions that the shutting down broker leads, and moves leadership of those partitions to another broker that is in that partition's ISR.

    id

    Id of the broker to shutdown.

    returns

    The number of partitions that the broker still leads.

  64. def startup(): Unit

    Invoked when the controller module of a Kafka server is started up.

    Invoked when the controller module of a Kafka server is started up. This does not assume that the current broker is the controller. It merely registers the session expiration listener and starts the controller leader elector

  65. def swallow(action: ⇒ Unit): Unit

    Definition Classes
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  66. def swallowDebug(action: ⇒ Unit): Unit

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    Logging
  67. def swallowError(action: ⇒ Unit): Unit

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  68. def swallowInfo(action: ⇒ Unit): Unit

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  69. def swallowTrace(action: ⇒ Unit): Unit

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    Logging
  70. def swallowWarn(action: ⇒ Unit): Unit

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

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  72. def toString(): String

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  73. def trace(msg: ⇒ String, e: ⇒ Throwable): Unit

    Definition Classes
    Logging
  74. def trace(e: ⇒ Throwable): Any

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    Logging
  75. def trace(msg: ⇒ String): Unit

    Definition Classes
    Logging
  76. def updateAssignedReplicasForPartition(topicAndPartition: TopicAndPartition, newReplicaAssignmentForTopic: Map[TopicAndPartition, Seq[Int]]): Unit

  77. final def wait(): Unit

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

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

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  80. def warn(msg: ⇒ String, e: ⇒ Throwable): Unit

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  81. def warn(e: ⇒ Throwable): Any

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  82. def warn(msg: ⇒ String): Unit

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Inherited from KafkaMetricsGroup

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