spark.timeseries

BucketDetector

trait BucketDetector [T] extends Serializable

Put consecutive items into buckets based on their characteristics. This can be used to for example put log messages to buckets based on their source or time. It is used in the example program spark.timeseries.BucketLogsByHour.

Call update() to signal change of bucket.

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Known Subclasses
HourBucketDetector
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  1. BucketDetector
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Abstract Value Members

  1. def reset (): Unit

    Resets the detector so that it considers the next sample independent of previous ones.

    Resets the detector so that it considers the next sample independent of previous ones.

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  2. def update (sample: T): Boolean

    Return true when the sample before this one was the last of a run.

    Return true when the sample before this one was the last of a run.

    sample

    a single sample of data type T.

    returns

    true if sample belongs to a new run, and false otherwise.

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