package com.leegh.pattern_match
/**
* @author Guohui Li
*/
/**
* Type,Array模式匹配
*/
object Pattern_Match_More {
def main(args: Array[String]): Unit = {
def match_type(t: Any) = t match {
case p: Int => println("It is Integer")
case p: String => println("It is String")
case m: Map[_, _] => m.foreach(println)
case _ => println("Unknown type!!!")
}
match_type(2)
match_type(Map("Scala" -> "Spark"))
def match_array(arr: Any) = arr match {
case Array(0) => println("Array" + "0")
case Array(x, y) => println("Array" + x + " " + y)
case Array(0, _*) => println("Array" + "0 ...")
case _ => println("something else")
}
match_array(Array(0))
match_array(Array(0, 1))
match_array(Array(0, 1, 2, 3, 4, 5, 6))
def match_list(lst: Any) = lst match {
case 0 :: Nil => println("List:" + "0")
case x :: y :: Nil => println("List:" + x + " " + y)
case 0 :: tail => println("List:" + "0 ...")
case _ => println("something else")
}
match_list(List(0))
match_list(List(0, 1))
match_list(List(0, 1, 2, 3, 4, 5))
def match_tuple(tuple: Any) = tuple match {
case (0, _) => println("Tuple:" + "0")
case (x, _) => println("Tuple:" + x)
case _ => println("something else")
}
match_tuple((0, "Scala"))
match_tuple((2, 0))
match_tuple((0, 1, 2, 3, 4, 5))
}
}
附:
本博客说明:
1.整理思路,提高自己。
2.受教于王家林老师,有所收获,故推荐。
3.博客注重实践,多余的文字就不多说了,都是做技术的。
4.信息来源于 DT大数据梦工厂微信公众账号:DT_Spark。
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