Spark常用的算子总结——Map

从一个list变成 key value

val a = sc.parallelize(List("dog", "tiger", "lion", "cat", "panther", " eagle"), 2)
val b = a.map(x => (x, 1))
b.collect.foreach(println(_))

# /*
# (dog,1)
# (tiger,1)
# (lion,1)
# (cat,1)
# (panther,1)
# ( eagle,1)
# */

val a = sc.parallelize(List("dog", "tiger", "lion", "cat", "panther", " eagle"), 2)
val b = a.map(x => (x.length, x))
b.mapValues("x" + _ + "x").collect

# //结果 
# Array( 
# (3,xdogx), 
# (5,xtigerx), 
# (4,xlionx), 
# (3,xcatx), 
# (7,xpantherx), 
# (5,xeaglex) 
# )

 

 

 

自定义函数生成新的rdd

val a = sc.parallelize(1 to 9, 3)  
val b = a.map(x => x*2)
b.collect  
# 结果Array[Int] = Array(2, 4, 6, 8, 10, 12, 14, 16, 18)  

就是把key value变成另一个key value

val l=sc.parallelize(List((1,'a'),(2,'b')))
var ll=l.map(x=>(x._1,"PV:"+x._2)).collect()
ll.foreach(println)
# (1,PVa)
# (2,PVb)

 

转载于:https://www.cnblogs.com/pocahontas/p/11334497.html