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  • package root
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    root
  • package org
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    root
  • package apache
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    org
  • package spark
    Definition Classes
    apache
  • package sql

    Allows the execution of relational queries, including those expressed in SQL using Spark.

    Allows the execution of relational queries, including those expressed in SQL using Spark.

    Definition Classes
    spark
  • package execution

    The physical execution component of Spark SQL.

    The physical execution component of Spark SQL. Note that this is a private package. All classes in catalyst are considered an internal API to Spark SQL and are subject to change between minor releases.

    Definition Classes
    sql
  • package stat
    Definition Classes
    execution
  • FrequentItems
  • StatFunctions

object FrequentItems extends Logging

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  1. final def !=(arg0: Any): Boolean
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  11. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  12. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  16. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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  17. def logDebug(msg: ⇒ String): Unit
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  18. def logError(msg: ⇒ String, throwable: Throwable): Unit
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  19. def logError(msg: ⇒ String): Unit
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  20. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
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  21. def logInfo(msg: ⇒ String): Unit
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  22. def logName: String
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  23. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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  25. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
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  26. def logWarning(msg: ⇒ String): Unit
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  27. final def ne(arg0: AnyRef): Boolean
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  28. final def notify(): Unit
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  29. final def notifyAll(): Unit
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  30. def singlePassFreqItems(df: DataFrame, cols: Seq[String], support: Double): DataFrame

    Finding frequent items for columns, possibly with false positives.

    Finding frequent items for columns, possibly with false positives. Using the frequent element count algorithm described in here, proposed by Karp, Schenker, and Papadimitriou. The support should be greater than 1e-4. For Internal use only.

    df

    The input DataFrame

    cols

    the names of the columns to search frequent items in

    support

    The minimum frequency for an item to be considered frequent. Should be greater than 1e-4.

    returns

    A Local DataFrame with the Array of frequent items for each column.

  31. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  32. def toString(): String
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  33. final def wait(): Unit
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  34. final def wait(arg0: Long, arg1: Int): Unit
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  35. final def wait(arg0: Long): Unit
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Inherited from Logging

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