3.1.5 spark体系之分布式计算-scala编程-scala中的集合（数组array、list、set、map、元组）

本是古典何须时尚 2022-11-21 09:55 146阅读 0赞

**目录**

1.数组 Array

1.1 创建数组

1.2 concat 方法

1.3 遍历和其他方法

1.4 定义可变数组：ArrayBuffer，第一个是后加，第二个是头加，第三个是追加多个

2.list

2.1 创建 list（不用 new List）

2.2 list遍历

2.3 list 方法举例

2.4 list方法总结

3.set

4.map

4.1 map 创建,map 中实际上是一个个的 tuple 二元组形式

4.2 获取 map 的值

4.3 遍历 map

4.4 遍历 key

4.5 遍历 value

4.6 合并 map

4.7 map 中的方法举例

5.元组

--------------------

# 1.数组 Array #

## 1.1 创建数组 ##

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 1][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 2][]

/**
     * 创建二维数组和遍历
     */
     val arr3 = new Array[Array[String]](3)
     arr3(0)=Array("1","2","3")
     arr3(1)=Array("4","5","6")
     arr3(2)=Array("7","8","9")
     for(i <- 0 until arr3.length){
     for(j <- 0 until arr3(i).length){
     print(arr3(i)(j)+" ")
     }
     println()
     }
    
     var count = 0
     for(arr <- arr3 ;i <- arr){
     if(count%3 == 0){
     println()
     }
     print(i+" ")
     count +=1
     }
    
     arr3.foreach { arr => {
     arr.foreach { println }
     }}
    
    
     val arr4 = Array[Array[Int]](Array(1,2,3),Array(4,5,6))
     arr4.foreach { arr => {
     arr.foreach(i => {
     println(i)
     })
     }}
     println("-------")
     for(arr <- arr4;i <- arr){
     println(i)
     }

创建两种方式:

/**
     * 创建数组两种方式：
     * 1.new Array[String](3)
     * 2.直接Array
     */
    
     //创建类型为Int 长度为3的数组
     val arr1 = new Array[Int](3)
     //创建String 类型的数组，直接赋值
     val arr2 = Array[String]("s100","s200","s300")
     //赋值
     arr1(0) = 100
     arr1(1) = 200
     arr1(2) = 300

## 1.2 concat 方法 ##

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 3][]

## 1.3 遍历和其他方法 ##

![20201031161045296.png][]

/**
     * 遍历两种方式
     */
     for(i <- arr1){
     println(i)
     }
     arr1.foreach(i => {
     println(i)
     })
    
     for(s <- arr2){
     println(s)
     }
     arr2.foreach {
     x => println(x)
     }

![20201031161052372.png][]

## 1.4 定义可变数组：ArrayBuffer，第一个是后加，第二个是头加，第三个是追加多个 ##

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 4][]

# 2.list #

## 2.1 创建 list（不用 new List） ##

val list = List(1,2,3,4) ，也可以混着往里面写数据,都是不可变类型，修改里面 数据一般会返回一个新的 List

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 5][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 6][]

***Nil 长度为 0 的 list***

## 2.2 list遍历 ##

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 7][]

## 2.3 list 方法举例 ##

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 8][]

![20201031161421215.png][]

//创建
     val list = List(1,2,3,4,5)
    
     //遍历
     list.foreach { x => println(x)}
    // list.foreach { println}
     //filter
     val list1 = list.filter { x => x>3 }
     list1.foreach { println}
    
     //count
     val value = list1.count { x => x>3 }
     println(value)
    
     //map
     val nameList = List(
     "hello bjsxt",
     "hello xasxt",
     "hello shsxt"
     )
     val mapResult:List[Array[String]] = nameList.map{ x => x.split(" ") }
     mapResult.foreach{println}
    
     //flatmap
     val flatMapResult : List[String] = nameList.flatMap{ x => x.split(" ") }
     flatMapResult.foreach { println }

## 2.4 list方法总结 ##

过滤：

![20201031161459625.png][]

可变 list ListBuffer

![2020103116151347.png][]

# 3.set #

创建 set 注意：set 集合会自动去重

set 遍历 foreach，for

set 方法举例

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 9][]

set 方法总结

//创建
     val set1 = Set(1,2,3,4,4)
     val set2 = Set(1,2,5)
     //遍历
     //注意：set会自动去重
     set1.foreach { println}
     for(s <- set1){
     println(s)
     }
     println("*******")
     /**
     * 方法举例
     */
    
     //交集
     val set3 = set1.intersect(set2)
     set3.foreach{println}
     val set4 = set1.&(set2)
     set4.foreach{println}
     println("*******")
     //差集
     set1.diff(set2).foreach { println }
     set1.&~(set2).foreach { println }
     //子集
     set1.subsetOf(set2)
    
     //最大值
     println(set1.max)
     //最小值
     println(set1.min)
     println("****")
    
     //转成数组，list
     set1.toArray.foreach{println}
     println("****")
     set1.toList.foreach{println}
    
     //mkString
     println(set1.mkString)
     println(set1.mkString("\t"))

可变长 set ，Set

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 10][]

# 4.map #

## 4.1 map 创建,map 中实际上是一个个的 tuple 二元组形式 ##

![20201031161710717.png][]

可变 map multable

![20201031161724982.png][]

## 4.2 获取 map 的值 ##

![20201031161753938.png][]

## 4.3 遍历 map ##

for,foreach

//map遍历
     for(x <- map){
     println("====key:"+x._1+",value:"+x._2)
     }
     map.foreach(f => {
     println("key:"+ f._1+" ,value:"+f._2)
     })

## 4.4 遍历 key ##

![20201031161835180.png][]

## 4.5 遍历 value ##

![20201031161851937.png][]

## 4.6 合并 map ##

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 11][]

## 4.7 map 中的方法举例 ##

filter:过滤，留下符合条件的记录

![20201031161933426.png][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 12][]

/**
     * map方法
     */
     //count
     val countResult = map.count(p => {
     p._2.equals("shsxt")
     })
     println(countResult)
    
     //filter
     map.filter(_._2.equals("shsxt")).foreach(println)
    
     //contains
     println(map.contains(2))
    
     //exist
     println(map.exists(f =>{
     f._2.equals("xasxt")
    
     }))

# 5.元组 #

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 13][]

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![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1N1eWViaXViaXU_size_16_color_FFFFFF_t_70 15][]

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