ConsumerStrategies

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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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6. def Assign[K, V](topicPartitions: Collection[TopicPartition], kafkaParams: Map[String, AnyRef]): ConsumerStrategy[K, V]

   :: Experimental :: Assign a fixed collection of TopicPartitions

   :: Experimental :: Assign a fixed collection of TopicPartitions

   topicPartitions

   collection of TopicPartitions to assign

   kafkaParams

   Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

   Annotations

   @Experimental()

7. def Assign[K, V](topicPartitions: Collection[TopicPartition], kafkaParams: Map[String, AnyRef], offsets: Map[TopicPartition, Long]): ConsumerStrategy[K, V]

   :: Experimental :: Assign a fixed collection of TopicPartitions

   :: Experimental :: Assign a fixed collection of TopicPartitions

   topicPartitions

   collection of TopicPartitions to assign

   kafkaParams

   Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

   Annotations

   @Experimental()

8. def Assign[K, V](topicPartitions: Iterable[TopicPartition], kafkaParams: Map[String, AnyRef]): ConsumerStrategy[K, V]

   :: Experimental :: Assign a fixed collection of TopicPartitions

   :: Experimental :: Assign a fixed collection of TopicPartitions

   topicPartitions

   collection of TopicPartitions to assign

   kafkaParams

   Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

   Annotations

   @Experimental()

9. def Assign[K, V](topicPartitions: Iterable[TopicPartition], kafkaParams: Map[String, AnyRef], offsets: Map[TopicPartition, Long]): ConsumerStrategy[K, V]

   :: Experimental :: Assign a fixed collection of TopicPartitions

   :: Experimental :: Assign a fixed collection of TopicPartitions

   topicPartitions

   collection of TopicPartitions to assign

   kafkaParams

   Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

   Annotations

   @Experimental()

10. def Subscribe[K, V](topics: Collection[String], kafkaParams: Map[String, AnyRef]): ConsumerStrategy[K, V]

    :: Experimental :: Subscribe to a collection of topics.

    :: Experimental :: Subscribe to a collection of topics.

    topics

    collection of topics to subscribe

    kafkaParams

    Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

    Annotations

    @Experimental()

11. def Subscribe[K, V](topics: Collection[String], kafkaParams: Map[String, AnyRef], offsets: Map[TopicPartition, Long]): ConsumerStrategy[K, V]

    :: Experimental :: Subscribe to a collection of topics.

    :: Experimental :: Subscribe to a collection of topics.

    topics

    collection of topics to subscribe

    kafkaParams

    Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

    Annotations

    @Experimental()

12. def Subscribe[K, V](topics: Iterable[String], kafkaParams: Map[String, AnyRef]): ConsumerStrategy[K, V]

    :: Experimental :: Subscribe to a collection of topics.

    :: Experimental :: Subscribe to a collection of topics.

    topics

    collection of topics to subscribe

    kafkaParams

    Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

    Annotations

    @Experimental()

13. def Subscribe[K, V](topics: Iterable[String], kafkaParams: Map[String, AnyRef], offsets: Map[TopicPartition, Long]): ConsumerStrategy[K, V]

    :: Experimental :: Subscribe to a collection of topics.

    :: Experimental :: Subscribe to a collection of topics.

    topics

    collection of topics to subscribe

    kafkaParams

    Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

    Annotations

    @Experimental()

14. def SubscribePattern[K, V](pattern: Pattern, kafkaParams: Map[String, AnyRef]): ConsumerStrategy[K, V]

    :: Experimental :: Subscribe to all topics matching specified pattern to get dynamically assigned partitions.

    :: Experimental :: Subscribe to all topics matching specified pattern to get dynamically assigned partitions. The pattern matching will be done periodically against topics existing at the time of check.

    pattern

    pattern to subscribe to

    kafkaParams

    Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

    Annotations

    @Experimental()

15. def SubscribePattern[K, V](pattern: Pattern, kafkaParams: Map[String, AnyRef], offsets: Map[TopicPartition, Long]): ConsumerStrategy[K, V]

    :: Experimental :: Subscribe to all topics matching specified pattern to get dynamically assigned partitions.

    :: Experimental :: Subscribe to all topics matching specified pattern to get dynamically assigned partitions. The pattern matching will be done periodically against topics existing at the time of check.

    pattern

    pattern to subscribe to

    kafkaParams

    Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

    Annotations

    @Experimental()

16. def SubscribePattern[K, V](pattern: Pattern, kafkaParams: Map[String, AnyRef]): ConsumerStrategy[K, V]

    :: Experimental :: Subscribe to all topics matching specified pattern to get dynamically assigned partitions.

    :: Experimental :: Subscribe to all topics matching specified pattern to get dynamically assigned partitions. The pattern matching will be done periodically against topics existing at the time of check.

    pattern

    pattern to subscribe to

    kafkaParams

    Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

    Annotations

    @Experimental()

17. def SubscribePattern[K, V](pattern: Pattern, kafkaParams: Map[String, AnyRef], offsets: Map[TopicPartition, Long]): ConsumerStrategy[K, V]

    :: Experimental :: Subscribe to all topics matching specified pattern to get dynamically assigned partitions.

    :: Experimental :: Subscribe to all topics matching specified pattern to get dynamically assigned partitions. The pattern matching will be done periodically against topics existing at the time of check.

    pattern

    pattern to subscribe to

    kafkaParams

    Kafka configuration parameters to be used on driver. The same params will be used on executors, with minor automatic modifications applied. Requires "bootstrap.servers" to be set with Kafka broker(s) specified in host1:port1,host2:port2 form.

    Annotations

    @Experimental()

18. final def asInstanceOf[T0]: T0

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19. def clone(): AnyRef

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22. def finalize(): Unit

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25. final def isInstanceOf[T0]: Boolean

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

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30. def toString(): String

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31. final def wait(): Unit

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

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

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