StreamingQueryProgress

Value Members

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

   

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2. final def ##(): Int

   

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

   

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4. final def asInstanceOf[T0]: T0

   

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5. val batchId: Long

   

   A unique id for the current batch of data being processed.

   A unique id for the current batch of data being processed. Note that in the case of retries after a failure a given batchId my be executed more than once. Similarly, when there is no data to be processed, the batchId will not be incremented.

6. def clone(): AnyRef

   

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7. val durationMs: Map[String, Long]

   

   The amount of time taken to perform various operations in milliseconds.

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

   

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9. def equals(arg0: Any): Boolean

   

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10. val eventTime: Map[String, String]

    

    Statistics of event time seen in this batch.

    Statistics of event time seen in this batch. It may contain the following keys: { "max" -> "2016-12-05T20:54:20.827Z" // maximum event time seen in this trigger "min" -> "2016-12-05T20:54:20.827Z" // minimum event time seen in this trigger "avg" -> "2016-12-05T20:54:20.827Z" // average event time seen in this trigger "watermark" -> "2016-12-05T20:54:20.827Z" // watermark used in this trigger } All timestamps are in ISO8601 format, i.e. UTC timestamps.

11. def finalize(): Unit

    

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

    

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13. def hashCode(): Int

    

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14. val id: UUID

    

    An unique query id that persists across restarts.

    An unique query id that persists across restarts. See StreamingQuery.id().

15. def inputRowsPerSecond: Double

    

    The aggregate (across all sources) rate of data arriving.

16. final def isInstanceOf[T0]: Boolean

    

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17. def json: String

    

    The compact JSON representation of this progress.

18. val name: String

    

    User-specified name of the query, null if not specified.

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

    

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20. final def notify(): Unit

    

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21. final def notifyAll(): Unit

    

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22. def numInputRows: Long

    

    The aggregate (across all sources) number of records processed in a trigger.

23. def prettyJson: String

    

    The pretty (i.e.

    The pretty (i.e. indented) JSON representation of this progress.

24. def processedRowsPerSecond: Double

    

    The aggregate (across all sources) rate at which Spark is processing data.

25. val runId: UUID

    

    A query id that is unique for every start/restart.

    A query id that is unique for every start/restart. See StreamingQuery.runId().

26. val sink: SinkProgress

    

27. val sources: Array[SourceProgress]

    

    detailed statistics on data being read from each of the streaming sources.

28. val stateOperators: Array[StateOperatorProgress]

    

    Information about operators in the query that store state.

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

    

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30. val timestamp: String

    

    Beginning time of the trigger in ISO8601 format, i.e.

    Beginning time of the trigger in ISO8601 format, i.e. UTC timestamps.

31. def toString(): String

    

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    StreamingQueryProgress → AnyRef → Any

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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