Object

org.apache.spark.rdd

MetricsContext

Related Doc: package rdd

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object MetricsContext

Contains implicit conversions which enable instrumentation of Spark operations. This class should be used instead of org.apache.spark.SparkContext when instrumentation is required. Usage is as follows:

import org.bdgenomics.utils.instrumentation.Metrics._
import org.apache.spark.rdd.MetricsContext._
Metrics.initialize(sparkContext)
val instrumentedRDD = rdd.instrument()

Then, when any operations are performed on instrumentedRDD the RDD operation will be instrumented, along with any functions that operate on its data. All subsequent RDD operations will be instrumented until the unInstrument method is called on an RDD.

Note

When using this class, it is not a good idea to import SparkContext._, as the implicit conversions in there may conflict with those in here -- instead it is better to import only the specific parts of SparkContext that are needed.

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  15. implicit def rddToInstrumentedOrderedRDD[K, V](rdd: RDD[(K, V)])(implicit arg0: Ordering[K], arg1: ClassTag[K], arg2: ClassTag[V]): InstrumentedOrderedRDDFunctions[K, V]

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  16. implicit def rddToInstrumentedPairRDD[K, V](rdd: RDD[(K, V)])(implicit kt: ClassTag[K], vt: ClassTag[V], ord: Ordering[K] = null): InstrumentedPairRDDFunctions[K, V]

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  17. implicit def rddToInstrumentedRDD[T](rdd: RDD[T])(implicit arg0: ClassTag[T]): InstrumentedRDDFunctions[T]

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