Object/Class

org.apache.spark.sql.catalyst.plans.logical

ColumnStat

Related Docs: class ColumnStat | package logical

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object ColumnStat extends Logging with Serializable

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Serializable, Serializable, Logging, AnyRef, Any
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  1. ColumnStat
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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. val KEY_VERSION: String

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. def fromMap(table: String, field: StructField, map: Map[String, String]): Option[ColumnStat]

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    Creates a ColumnStat object from the given map.

    Creates a ColumnStat object from the given map. This is used to deserialize column stats from some external storage. The serialization side is defined in ColumnStat.toMap.

  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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  14. final def isInstanceOf[T0]: Boolean

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  15. def isTraceEnabled(): Boolean

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  16. def log: Logger

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  17. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  18. def logDebug(msg: ⇒ String): Unit

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  19. def logError(msg: ⇒ String, throwable: Throwable): Unit

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  20. def logError(msg: ⇒ String): Unit

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  21. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  22. def logInfo(msg: ⇒ String): Unit

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  23. def logName: String

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  24. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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  25. def logTrace(msg: ⇒ String): Unit

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  26. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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  27. def logWarning(msg: ⇒ String): Unit

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  28. final def ne(arg0: AnyRef): Boolean

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  29. final def notify(): Unit

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  30. final def notifyAll(): Unit

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  31. def rowToColumnStat(row: Row, attr: Attribute): ColumnStat

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    Convert a struct for column stats (defined in statExprs) into ColumnStat.

  32. def statExprs(col: Attribute, relativeSD: Double): CreateNamedStruct

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    Constructs an expression to compute column statistics for a given column.

    Constructs an expression to compute column statistics for a given column.

    The expression should create a single struct column with the following schema: distinctCount: Long, min: T, max: T, nullCount: Long, avgLen: Long, maxLen: Long

    Together with rowToColumnStat, this function is used to create ColumnStat and as a result should stay in sync with it.

  33. def supportsType(dataType: DataType): Boolean

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    Returns true iff the we support gathering column statistics on column of the given type.

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

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  35. def toString(): String

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  36. final def wait(): Unit

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  37. final def wait(arg0: Long, arg1: Int): Unit

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  38. final def wait(arg0: Long): Unit

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Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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