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()
- Source
- progress.scala
- Since
2.1.0
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- StreamingQueryProgress
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!=(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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- val batchDuration: Long
- val batchId: Long
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def
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- val durationMs: Map[String, Long]
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def
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- val eventTime: Map[String, String]
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def
finalize(): Unit
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def
hashCode(): Int
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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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final
def
isInstanceOf[T0]: Boolean
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def
json: String
The compact JSON representation of this progress.
- val name: String
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
numInputRows: Long
The aggregate (across all sources) number of records processed in a trigger.
- val observedMetrics: Map[String, Row]
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def
prettyJson: String
The pretty (i.e.
The pretty (i.e. indented) JSON representation of this progress.
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def
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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final
def
synchronized[T0](arg0: ⇒ T0): T0
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- val timestamp: String
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def
toString(): String
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final
def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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