使用foldLeft函数,实现简易的wordCount
import scala.collection.mutable
object Demo_019 {
def main(args: Array[String]): Unit = {
val list = List("bigdata han hello ", "bigdata han aaa aaa aaa ccc ddd uuu")
val map01 = mutable.Map[String, Int]()
list.foldLeft(map01)(count2)
println(map01)
}
def count2(map2: mutable.Map[String, Int], str: String): mutable.Map[String, Int] = {
val arr: Array[String] = str.split(" ")
for (elem <- arr) {
map2 += (elem -> (map2.getOrElse(elem, 0) + 1))
}
map2
}
运行结果为:

当然这种方式,还是显得太罗嗦了,还有更为简洁的方式,而且还可以结果进行正序或逆序排序
简单一句就是:
val result = list.flatMap(_.split(" ")).map((_,1)).groupBy(_._1).map(s => (s._1,s._2.size))
显然不容易懂,下面是详细说明
object Demo_019_01 {
def main(args: Array[String]): Unit = {
val list = List("bigdata han hello ", "bigdata han aaa aaa aaa ccc ddd uuu")
// val result2 = list.flatMap((x: String) => x.split(" "))
val result2 = list.flatMap(_.split(" "))
println("result2:"+result2)
// val result3 = result2.map((x: String) => (x, 1))
val result3 = result2.map((_,1))
println("result3:"+result3)
// val result4 = result3.groupBy((x: (String, Int)) => x._1)
val result4 = result3.groupBy(_._1)
println("result4:"+result4)
// val result5 = result4.map((s: (String, List[(String, Int)])) => (s._1, s._2.size))
val result5= result4.map(s => (s._1,s._2.size))
println("result5:"+result5)
// val result6 = result5.toList.sortBy((x: (String, Int)) => x._2).reverse
val result6 = result5.toList.sortBy(_._2)
println("result6:"+result6)
}
}
输出结果为
上面使用了参数类型推断,关于参数类型推断,介绍如下