Spark API 详解/大白话解释 之 groupBy、groupByKey

groupBy(function)
function返回key，传入的RDD的各个元素根据这个key进行分组

val a = sc.parallelize(1 to 9, 3)
a.groupBy(x => { if (x % 2 == 0) "even" else "odd" }).collect//分成两组
/*结果 Array( (even,ArrayBuffer(2, 4, 6, 8)), (odd,ArrayBuffer(1, 3, 5, 7, 9)) ) */

val a = sc.parallelize(1 to 9, 3)
def myfunc(a: Int) : Int =
{
  a % 2//分成两组
}
a.groupBy(myfunc).collect

/*
结果
Array(
(0,ArrayBuffer(2, 4, 6, 8)),
(1,ArrayBuffer(1, 3, 5, 7, 9))
)
*/

groupByKey( )

val a = sc.parallelize(List("dog", "tiger", "lion", "cat", "spider", "eagle"), 2)
val b = a.keyBy(_.length)//给value加上key，key为对应string的长度
b.groupByKey.collect //结果 Array((4,ArrayBuffer(lion)), (6,ArrayBuffer(spider)), (3,ArrayBuffer(dog, cat)), (5,ArrayBuffer(tiger, eagle)))