Class

org.apache.spark.streaming.scheduler

BatchInfo

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case class BatchInfo(batchTime: Time, streamIdToInputInfo: Map[Int, StreamInputInfo], submissionTime: Long, processingStartTime: Option[Long], processingEndTime: Option[Long], outputOperationInfos: Map[Int, OutputOperationInfo]) extends Product with Serializable

:: DeveloperApi :: Class having information on completed batches.

batchTime

Time of the batch

streamIdToInputInfo

A map of input stream id to its input info

submissionTime

Clock time of when jobs of this batch was submitted to the streaming scheduler queue

processingStartTime

Clock time of when the first job of this batch started processing

processingEndTime

Clock time of when the last job of this batch finished processing

outputOperationInfos

The output operations in this batch

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@DeveloperApi()
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Serializable, Serializable, Product, Equals, AnyRef, Any
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Instance Constructors

  1. new BatchInfo(batchTime: Time, streamIdToInputInfo: Map[Int, StreamInputInfo], submissionTime: Long, processingStartTime: Option[Long], processingEndTime: Option[Long], outputOperationInfos: Map[Int, OutputOperationInfo])

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    batchTime

    Time of the batch

    streamIdToInputInfo

    A map of input stream id to its input info

    submissionTime

    Clock time of when jobs of this batch was submitted to the streaming scheduler queue

    processingStartTime

    Clock time of when the first job of this batch started processing

    processingEndTime

    Clock time of when the last job of this batch finished processing

    outputOperationInfos

    The output operations in this batch

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 batchTime: Time

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    Time of the batch

  6. def clone(): AnyRef

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    @throws( ... )

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

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  8. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

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

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  10. final def isInstanceOf[T0]: Boolean

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

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  12. final def notify(): Unit

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  13. final def notifyAll(): Unit

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  14. def numRecords: Long

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    The number of recorders received by the receivers in this batch.

  15. val outputOperationInfos: Map[Int, OutputOperationInfo]

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    The output operations in this batch

  16. def processingDelay: Option[Long]

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    Time taken for the all jobs of this batch to finish processing from the time they started processing.

    Time taken for the all jobs of this batch to finish processing from the time they started processing. Essentially, it is processingEndTime - processingStartTime.

  17. val processingEndTime: Option[Long]

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    Clock time of when the last job of this batch finished processing

  18. val processingStartTime: Option[Long]

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    Clock time of when the first job of this batch started processing

  19. def schedulingDelay: Option[Long]

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    Time taken for the first job of this batch to start processing from the time this batch was submitted to the streaming scheduler.

    Time taken for the first job of this batch to start processing from the time this batch was submitted to the streaming scheduler. Essentially, it is processingStartTime - submissionTime.

  20. val streamIdToInputInfo: Map[Int, StreamInputInfo]

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    A map of input stream id to its input info

  21. val submissionTime: Long

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    Clock time of when jobs of this batch was submitted to the streaming scheduler queue

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

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  23. def totalDelay: Option[Long]

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    Time taken for all the jobs of this batch to finish processing from the time they were submitted.

    Time taken for all the jobs of this batch to finish processing from the time they were submitted. Essentially, it is processingDelay + schedulingDelay.

  24. final def wait(): Unit

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

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

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