object AggregateMessages extends Logging with Serializable
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- val MSG_COL_NAME: String
Column name for aggregated messages, used in AggregateMessages.msg
- final def asInstanceOf[T0]: T0
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- @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
- def dst: Column
Reference for destination column, used for specifying messages
- def edge: Column
Reference for edge column, used for specifying messages
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- def getCachedDataFrame(df: DataFrame): DataFrame
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.
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- def logDebug(s: => String): Unit
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- def logInfo(s: => String): Unit
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- def logTrace(s: => String): Unit
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- def logWarn(s: => String): Unit
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- def msg: Column
Reference for message column, used for specifying aggregation function
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- final def notifyAll(): Unit
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- def src: Column
Reference for source column, used for specifying messages
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