本文整理汇总了Scala中scala.collection.GenMap类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, 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)]
}