Trait

com.actian.spark_vector

Profiling

Related Doc: package spark_vector

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trait Profiling extends AnyRef

Trait to be used when profiling is needed. To profile a section of the code, the following steps should be followed: - Call profileInit(<label_for_first_section>, <label_for_second_section>, ...) and store it into an implicit value - Use profile(<section_name>) and profileEnd in a bracket opening/closing fashion, where the code between a profile call and its corresponding profileEnd will have its execution time measured and stored into its accumulator - Call profilePrint at the end to log the profiling information gathered

Self Type
Profiling with Logging
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  1. final def !=(arg0: Any): Boolean

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  11. final def isInstanceOf[T0]: Boolean

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  12. implicit def nameToAcc(name: String)(implicit pmap: ProfAccMap): ProfAcc

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. def profile(acc: ProfAcc)(implicit pmap: ProfAccMap): Unit

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    Start measuring time and record it in acc.

    Start measuring time and record it in acc.

    Note

    This function should always be used in combination with profileEnd in a similar way with opening and closing a sequence of brackets, where the code between a profile call and its corresponding profileEnd will have its execution time measured and stored into acc

  17. def profileEnd(implicit pmap: ProfAccMap): Unit

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    Finish profiling the current section of code, as determined by the most recent profile call

  18. def profileInit(names: String*): ProfAccMap

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    Initialize profiling

  19. def profilePrint(implicit pmap: ProfAccMap): Unit

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    Print profile information using log

  20. final def synchronized[T0](arg0: ⇒ T0): T0

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  22. final def wait(): Unit

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