Object/Class

org.graphframes.lib

AggregateMessages

Related Docs: class AggregateMessages | package lib

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object AggregateMessages extends Logging with Serializable

Linear Supertypes
Serializable, Serializable, Logging, LazyLogging, com.typesafe.scalalogging.Logging, AnyRef, Any
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Inherited
  1. AggregateMessages
  2. Serializable
  3. Serializable
  4. Logging
  5. LazyLogging
  6. Logging
  7. AnyRef
  8. Any
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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. val MSG_COL_NAME: String

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    Column name for aggregated messages, used in AggregateMessages.msg

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. def dst: Column

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    Reference for destination column, used for specifying messages

  8. def edge: Column

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    Reference for edge column, used for specifying messages

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

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    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. def getCachedDataFrame(df: DataFrame): DataFrame

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    Create a new cached copy of a DataFrame.

    Create a new cached copy of a DataFrame. For iterative DataFrame-based algorithms.

    WARNING: This is NOT the same as DataFrame.cache(). The original DataFrame will NOT be cached.

    This is a workaround for SPARK-13346, which makes it difficult to use DataFrames in iterative algorithms. This workaround converts the DataFrame to an RDD, caches the RDD, and creates a new DataFrame. This is important for avoiding the creation of extremely complex DataFrame query plans when using DataFrames in iterative algorithms.

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

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    Definition Classes
    AnyRef → Any
  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  16. def logDebug(s: String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  17. def logInfo(s: String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  18. def logTrace(s: String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  19. lazy val logger: Logger

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    Attributes
    protected
    Definition Classes
    LazyLogging → Logging
  20. def msg: Column

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    Reference for message column, used for specifying aggregation function

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

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    Definition Classes
    AnyRef
  22. final def notify(): Unit

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    Definition Classes
    AnyRef
  23. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  24. def src: Column

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    Reference for source column, used for specifying messages

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

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    Definition Classes
    AnyRef
  26. def toString(): String

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    Definition Classes
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  27. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
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    Annotations
    @throws( ... )
  29. final def wait(arg0: Long): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from LazyLogging

Inherited from com.typesafe.scalalogging.Logging

Inherited from AnyRef

Inherited from Any

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