Spark中RDD的基本转化操作

对一个数据为{1，2，3，4}的RDD进行基本的RDD转化操作:

下面用scala语言进行实现：

1:val example = sc.parallelize(List(1, 2, 3,  3))

　val result = example.map(x => x+1)

　println(result.collect().mkString(","))

2:val example = sc.parallelize(List(1, 2, 3, 3))

　val result = example.flatMap(x =>x.to(3))

　println(result.collect().mkString(","))

3:val example = sc.parallelize(List(1, 2, 3, 3))

　val result = example.filter(x => x !=1)

　println(result.collect().mkString(","))

4:val example = sc.parallelize(List(1, 2, 3, 3))

　val result = example.distinct()

　println(result.collect().mkString(","))

5:val example = sc.parallelize(List(1, 2, 3, 3))

　val result = example.sample()

　println(result.collect().mkString(","))