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Scala GenMap类代码示例

原作者: [db:作者] 来自: [db:来源] 收藏 邀请

本文整理汇总了Scala中scala.collection.GenMap的典型用法代码示例。如果您正苦于以下问题:Scala GenMap类的具体用法?Scala GenMap怎么用?Scala GenMap使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。



在下文中一共展示了GenMap类的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于我们的系统推荐出更棒的Scala代码示例。

示例1: parallelize

//设置package包名称以及导入依赖的类
package com.datawizards.sparklocal.rdd

import org.apache.spark.Partitioner
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.SparkSession

import scala.collection.{GenIterable, GenMap, Map}
import scala.reflect.ClassTag

trait PairRDDFunctionsAPI[K, V] {
  protected lazy val spark: SparkSession = SparkSession.builder().getOrCreate()
  protected def parallelize[That: ClassTag](d: Seq[That]): RDD[That] = spark.sparkContext.parallelize(d)
  protected def parallelize[That: ClassTag](d: GenIterable[That]): RDD[That] = parallelize(d.toList)

  def mapValues[U: ClassTag](f: (V) => U): RDDAPI[(K, U)]
  def keys: RDDAPI[K]
  def values: RDDAPI[V]
  def flatMapValues[U: ClassTag](f: (V) => TraversableOnce[U]): RDDAPI[(K, U)]
  def countByKey(): GenMap[K, Long]
  def reduceByKey(func: (V, V) => V): RDDAPI[(K, V)]
  def reduceByKey(func: (V, V) => V, numPartitions: Int): RDDAPI[(K, V)]
  def reduceByKey(partitioner: Partitioner, func: (V, V) => V): RDDAPI[(K, V)]
  def reduceByKeyLocally(func: (V, V) => V): Map[K, V]
  def groupByKey(): RDDAPI[(K, GenIterable[V])]
  def groupByKey(numPartitions: Int): RDDAPI[(K, GenIterable[V])]
  def groupByKey(partitioner: Partitioner): RDDAPI[(K, GenIterable[V])]
  def foldByKey(zeroValue: V)(func: (V, V) => V): RDDAPI[(K, V)]
  def foldByKey(zeroValue: V, numPartitions: Int)(func: (V, V) => V): RDDAPI[(K, V)]
  def foldByKey(zeroValue: V, partitioner: Partitioner)(func: (V, V) => V): RDDAPI[(K, V)]
  def join[W: ClassTag](other: RDDAPI[(K, W)]): RDDAPI[(K, (V, W))]
  def join[W: ClassTag](other: RDDAPI[(K, W)], numPartitions: Int): RDDAPI[(K, (V, W))]
  def join[W: ClassTag](other: RDDAPI[(K, W)], partitioner: Partitioner): RDDAPI[(K, (V, W))]
  def leftOuterJoin[W: ClassTag](other: RDDAPI[(K, W)]): RDDAPI[(K, (V, Option[W]))]
  def leftOuterJoin[W: ClassTag](other: RDDAPI[(K, W)], numPartitions: Int): RDDAPI[(K, (V, Option[W]))]
  def leftOuterJoin[W: ClassTag](other: RDDAPI[(K, W)], partitioner: Partitioner): RDDAPI[(K, (V, Option[W]))]
  def rightOuterJoin[W: ClassTag](other: RDDAPI[(K, W)]): RDDAPI[(K, (Option[V], W))]
  def rightOuterJoin[W: ClassTag](other: RDDAPI[(K, W)], numPartitions: Int): RDDAPI[(K, (Option[V], W))]
  def rightOuterJoin[W: ClassTag](other: RDDAPI[(K, W)], partitioner: Partitioner): RDDAPI[(K, (Option[V], W))]
  def fullOuterJoin[W: ClassTag](other: RDDAPI[(K, W)]): RDDAPI[(K, (Option[V], Option[W]))]
  def fullOuterJoin[W: ClassTag](other: RDDAPI[(K, W)], numPartitions: Int): RDDAPI[(K, (Option[V], Option[W]))]
  def fullOuterJoin[W: ClassTag](other: RDDAPI[(K, W)], partitioner: Partitioner): RDDAPI[(K, (Option[V], Option[W]))]
  def cogroup[W1: ClassTag, W2: ClassTag, W3: ClassTag](other1: RDDAPI[(K, W1)], other2: RDDAPI[(K, W2)], other3: RDDAPI[(K, W3)], partitioner: Partitioner): RDDAPI[(K, (GenIterable[V], GenIterable[W1], GenIterable[W2], GenIterable[W3]))]
  def cogroup[W: ClassTag](other: RDDAPI[(K, W)], partitioner: Partitioner): RDDAPI[(K, (GenIterable[V], GenIterable[W]))]
  def cogroup[W1: ClassTag, W2: ClassTag](other1: RDDAPI[(K, W1)], other2: RDDAPI[(K, W2)], partitioner: Partitioner): RDDAPI[(K, (GenIterable[V], GenIterable[W1], GenIterable[W2]))]
  def cogroup[W1: ClassTag, W2: ClassTag, W3: ClassTag](other1: RDDAPI[(K, W1)], other2: RDDAPI[(K, W2)], other3: RDDAPI[(K, W3)]): RDDAPI[(K, (GenIterable[V], GenIterable[W1], GenIterable[W2], GenIterable[W3]))]
  def cogroup[W: ClassTag](other: RDDAPI[(K, W)]): RDDAPI[(K, (GenIterable[V], GenIterable[W]))]
  def cogroup[W1: ClassTag, W2: ClassTag](other1: RDDAPI[(K, W1)], other2: RDDAPI[(K, W2)]): RDDAPI[(K, (GenIterable[V], GenIterable[W1], GenIterable[W2]))]
  def cogroup[W: ClassTag](other: RDDAPI[(K, W)], numPartitions: Int): RDDAPI[(K, (GenIterable[V], GenIterable[W]))]
  def cogroup[W1: ClassTag, W2: ClassTag](other1: RDDAPI[(K, W1)], other2: RDDAPI[(K, W2)], numPartitions: Int): RDDAPI[(K, (GenIterable[V], GenIterable[W1], GenIterable[W2]))]
  def cogroup[W1: ClassTag, W2: ClassTag, W3: ClassTag](other1: RDDAPI[(K, W1)], other2: RDDAPI[(K, W2)], other3: RDDAPI[(K, W3)], numPartitions: Int): RDDAPI[(K, (GenIterable[V], GenIterable[W1], GenIterable[W2], GenIterable[W3]))]
  def collectAsMap(): GenMap[K, V]
  def subtractByKey[W: ClassTag](other: RDDAPI[(K, W)]): RDDAPI[(K, V)]
  def subtractByKey[W: ClassTag](other: RDDAPI[(K, W)], numPartitions: Int): RDDAPI[(K, V)]
  def subtractByKey[W: ClassTag](other: RDDAPI[(K, W)], p: Partitioner): RDDAPI[(K, V)]
  def aggregateByKey[U: ClassTag](zeroValue: U)(seqOp: (U, V) => U, combOp: (U, U) => U): RDDAPI[(K, U)]
  def aggregateByKey[U: ClassTag](zeroValue: U, partitioner: Partitioner)(seqOp: (U, V) => U, combOp: (U, U) => U): RDDAPI[(K, U)]
  def aggregateByKey[U: ClassTag](zeroValue: U, numPartitions: Int)(seqOp: (U, V) => U, combOp: (U, U) => U): RDDAPI[(K, U)]
  def partitionBy(partitioner: Partitioner): RDDAPI[(K, V)]

} 
开发者ID:piotr-kalanski,项目名称:spark-local,代码行数:61,代码来源:PairRDDFunctionsAPI.scala



注:本文中的scala.collection.GenMap类示例整理自Github/MSDocs等源码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。


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