class StreamingQueryProgress extends Serializable
Information about progress made in the execution of a StreamingQuery during a trigger. Each event relates to processing done for a single trigger of the streaming query. Events are emitted even when no new data is available to be processed.
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- @Evolving()
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- progress.scala
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- 2.1.0 
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-  val batchDuration: Long
-  val batchId: Long
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-  val durationMs: Map[String, Long]
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-  val eventTime: Map[String, String]
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-  val id: UUID
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        def
      
      
        inputRowsPerSecond: Double
      
      
      The aggregate (across all sources) rate of data arriving. 
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        isInstanceOf[T0]: Boolean
      
      
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        json: String
      
      
      The compact JSON representation of this progress. 
-  val name: String
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        numInputRows: Long
      
      
      The aggregate (across all sources) number of records processed in a trigger. 
-  val observedMetrics: Map[String, Row]
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        prettyJson: String
      
      
      The pretty (i.e. The pretty (i.e. indented) JSON representation of this progress. 
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        processedRowsPerSecond: Double
      
      
      The aggregate (across all sources) rate at which Spark is processing data. 
-  val runId: UUID
-  val sink: SinkProgress
-  val sources: Array[SourceProgress]
-  val stateOperators: Array[StateOperatorProgress]
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-  val timestamp: String
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        toString(): String
      
      
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