class SparkDFUtilsBridge extends AnyRef
class definition so we could expose this functionality in PySpark
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- new SparkDFUtilsBridge()
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- def broadcastJoinSkewed(notSkewed: DataFrame, skewed: DataFrame, joinCol: String, numRowsToBroadcast: Int, filterCnt: Long, joinType: String): DataFrame
- def changeSchema(df: DataFrame, newScheme: List[String]): DataFrame
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- def dedupRandomN(df: DataFrame, groupCol: Column, maxSize: Int): DataFrame
- def dedupTopN(df: DataFrame, n: Int, groupCol: Column, orderCols: List[Column]): DataFrame
- def dedupWithCombiner(df: DataFrame, groupCol: List[Column], orderByCol: List[Column], desc: Boolean, columnsFilter: List[String], columnsFilterKeep: Boolean): DataFrame
- def dedupWithOrder(df: DataFrame, groupCol: Column, orderCols: List[Column]): DataFrame
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- def explodeArray(df: DataFrame, arrayCol: Column, alias: String): DataFrame
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- def joinSkewed(dfLeft: DataFrame, dfRight: DataFrame, joinExprs: Column, numShards: Int, joinType: String): DataFrame
- def joinWithRange(dfSingle: DataFrame, colSingle: String, dfRange: DataFrame, colRangeStart: String, colRangeEnd: String, DECREASE_FACTOR: Long): DataFrame
- def joinWithRangeAndDedup(dfSingle: DataFrame, colSingle: String, dfRange: DataFrame, colRangeStart: String, colRangeEnd: String, DECREASE_FACTOR: Long, dedupSmallRange: Boolean): DataFrame
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