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标签:Spark函数

Spark

Spark函数讲解:cache

Spark函数讲解:cache
  使用MEMORY_ONLY储存级别对RDD进行缓存,其内部实现是调用persist()函数的。官方文档定义:Persist this RDD with the default storage level (`MEMORY_ONLY`).函数原型[code lang="scala"]def cache() : this.type[/code]实例[code lang="scala"]/** * User: 过往记忆 * Date: 15-03-04 * Time: 下午06:30 * bolg: * 本文地址:/archives/1274 * 过往记忆博客,

w397090770   6年前 (2015-03-04) 13561℃ 0评论8喜欢

Spark

Spark函数讲解:aggregateByKey

Spark函数讲解:aggregateByKey
  该函数和aggregate类似,但操作的RDD是Pair类型的。Spark 1.1.0版本才正式引入该函数。官方文档定义:Aggregate the values of each key, using given combine functions and a neutral "zero value". This function can return a different result type, U, than the type of the values in this RDD, V. Thus, we need one operation for merging a V into a U and one operation for merging two U's, as in scala.Traversabl

w397090770   6年前 (2015-03-02) 38846℃ 2评论35喜欢

Scala

Spark函数讲解:aggregate

Spark函数讲解:aggregate
  我们先来看看aggregate函数的官方文档定义:Aggregate the elements of each partition, and then the results for all the partitions, using given combine functions and a neutral "zero value". This function can return a different result type, U, than the type of this RDD, T. Thus, we need one operation for merging a T into an U and one operation for merging two U's, as in scala.TraversableOnce. Both of these functions

w397090770   6年前 (2015-02-12) 36340℃ 5评论23喜欢