Class

org.apache.spark.sql.streaming

StreamingQueryStatus

Related Doc: package streaming

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class StreamingQueryStatus extends AnyRef

:: Experimental :: A class used to report information about the progress of a StreamingQuery.

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@Experimental()
Source
StreamingQueryStatus.scala
Since

2.0.0

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  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. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. val id: Long

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    Id of the query.

    Id of the query. This id is unique across all queries that have been started in the current process.

  12. val inputRate: Double

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    Current rate (rows/sec) at which data is being generated by all the sources.

  13. final def isInstanceOf[T0]: Boolean

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  14. def json: String

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    The compact JSON representation of this status.

  15. val latency: Option[Double]

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    Current average latency between the data being available in source and the sink writing the corresponding output.

  16. val name: String

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    Name of the query.

    Name of the query. This name is unique across all active queries.

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def prettyJson: String

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    The pretty (i.e.

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

  21. val processingRate: Double

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    Current rate (rows/sec) at which the query is processing data from all the sources.

  22. val sinkStatus: SinkStatus

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    Current status of the sink.

  23. val sourceStatuses: Array[SourceStatus]

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    Current statuses of the sources.

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

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  25. val timestamp: Long

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    Timestamp (ms) of when this query was generated.

  26. def toString(): String

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  27. val triggerDetails: Map[String, String]

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    Low-level details of the currently active trigger (e.g.

    Low-level details of the currently active trigger (e.g. number of rows processed in trigger, latency of intermediate steps, etc.). If no trigger is active, then it will have details of the last completed trigger.

  28. final def wait(): Unit

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

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

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