Class

io.github.interestinglab.waterdrop.input.sparkstreaming

KafkaStream

Related Doc: package sparkstreaming

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class KafkaStream extends BaseStreamingInput[(String, String)]

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BaseStreamingInput[(String, String)], Plugin, Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. KafkaStream
  2. BaseStreamingInput
  3. Plugin
  4. Logging
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new KafkaStream()

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def afterOutput: Unit

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    Definition Classes
    KafkaStream → BaseStreamingInput

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def beforeOutput: Unit

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    Definition Classes
    BaseStreamingInput

  7. def checkConfig(): (Boolean, String)

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    Definition Classes
    KafkaStream → Plugin

  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  9. var config: Config

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  10. val consumerPrefix: String

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

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  13. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  15. def getConfig(): Config

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    Definition Classes
    KafkaStream → Plugin

  16. def getDStream(ssc: StreamingContext): DStream[(String, String)]

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    Definition Classes
    KafkaStream → BaseStreamingInput

  17. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  18. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  19. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  20. var inputDStream: InputDStream[ConsumerRecord[String, String]]

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  21. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  22. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  23. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  30. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  35. def name: String

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    Definition Classes
    Plugin

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

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    Definition Classes
    AnyRef

  37. final def notify(): Unit

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    Definition Classes
    AnyRef

  38. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  39. var offsetRanges: Array[OffsetRange]

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  40. def prepare(spark: SparkSession): Unit

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    Definition Classes
    KafkaStream → Plugin

  41. def rdd2dataset(spark: SparkSession, rdd: RDD[(String, String)]): Dataset[Row]

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    Definition Classes
    KafkaStream → BaseStreamingInput

  42. def setConfig(config: Config): Unit

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    Definition Classes
    KafkaStream → Plugin

  43. def start(spark: SparkSession, ssc: StreamingContext, handler: (Dataset[Row]) ⇒ Unit): Unit

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    Definition Classes
    BaseStreamingInput

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

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    Definition Classes
    AnyRef

  45. def toString(): String

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    Definition Classes
    AnyRef → Any

  46. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from BaseStreamingInput[(String, String)]

Inherited from Plugin

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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