class StreamLoader extends Logging with Metrics
The main stream loading class, given a KafkaSource and some Sink continuously polls the source and sinks records to the sink.
Runs in the active thread and blocks it. When running multiple instances in multiple threads you must provide separate sources and sinks.
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- new StreamLoader(source: KafkaSource, sink: Sink)
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- def createCounter(name: String, tags: Seq[MetricTag] = Seq()): Counter
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- def createDistribution(name: String, tags: Seq[MetricTag] = Seq()): DistributionSummary
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- def createGauge[T <: AnyRef](name: String, metric: T, tdf: ToDoubleFunction[T], tags: Seq[MetricTag] = Seq()): Gauge
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- def createTimer(name: String, tags: Seq[MetricTag] = Seq(), maxDuration: Duration = null): Timer
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- val log: Logger
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- def metricsRoot: String
A common prefix for all created metrics.
A common prefix for all created metrics.
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- StreamLoader → Metrics
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- def removeMeters(meters: Meter*): Unit
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- Metrics
- def setMetricRegistry(registry: MeterRegistry): Unit
Sets the
MeterRegistryto register all loader metrics to. - def start(): Unit
Starts stream loading in the current thread, blocks until
stop()is called from another thread. - def stop(): Unit
Stops the stream loader, performs any necessary clean up.
- final def synchronized[T0](arg0: => T0): T0
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