map与flatMap的区别
spark版本:spark 2.0.2
scala版本:2.11.8
服务器版本:CentOS 6.7
对比map和flatMap在RDD中的使用:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | val rdd 1 = sc.parallelize(Seq(( "one two three four five six seven" ), ( "one two three four five six seven" ), ( "one two three four five six seven" ))) rdd 1 .map( _ .split( " " )).collect /* res6: Array[Array[String]] = Array(Array(one, two, three, four, five, six, seven), Array(one, two, three, four, five, six, seven), Array(one, two, three, four, five, six, seven)) */ rdd 1 .flatMap( _ .split( " " )).collect /* res7: Array[String] = Array(one, two, three, four, five, six, seven, one, two, three, four, five, six, seven, one, two, three, four, five, six, seven) */ val rdd 2 = sc.parallelize(Seq(( 1 , "one two three four five six seven" ), ( 2 , "one two three four five six seven" ), ( 3 , "one two three four five six seven" ))) rdd 2 .map(x = > (x. _ 1 , x. _ 2 .split( " " ))).collect /* res14: Array[(Int, Array[String])] = Array((1,Array(one, two, three, four, five, six, seven)), (2,Array(one, two, three, four, five, six, seven)), (3,Array(one, two, three, four, five, six, seven))) */ rdd 2 .map(x = > { val x 2 = x. _ 2 .split( " " ) (x. _ 1 , x 2 .toIterable)}).collect /* res4: Array[(Int, Iterable[String])] = Array((1,WrappedArray(one, two, three, four, five, six, seven)), (2,WrappedArray(one, two, three, four, five, six, seven)), (3,WrappedArray(one, two, three, four, five, six, seven))) */ rdd 2 .map(x = > { val x 2 = x. _ 2 .split( " " ) (x. _ 1 , x 2 .toIterable)}).flatMap{x = > val y = x. _ 2 for (w <- y) yield (x. _ 1 , w)}.collect /* res7: Array[(Int, String)] = Array((1,one), (1,two), (1,three), (1,four), (1,five), (1,six), (1,seven), (2,one), (2,two), (2,three), (2,four), (2,five), (2,six), (2,seven), (3,one), (3,two), (3,three), (3,four), (3,five), (3,six), (3,seven)) */ |
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· AI与.NET技术实操系列:向量存储与相似性搜索在 .NET 中的实现
· 基于Microsoft.Extensions.AI核心库实现RAG应用
· Linux系列:如何用heaptrack跟踪.NET程序的非托管内存泄露
· 开发者必知的日志记录最佳实践
· SQL Server 2025 AI相关能力初探
· winform 绘制太阳,地球,月球 运作规律
· 震惊!C++程序真的从main开始吗?99%的程序员都答错了
· AI与.NET技术实操系列(五):向量存储与相似性搜索在 .NET 中的实现
· 超详细:普通电脑也行Windows部署deepseek R1训练数据并当服务器共享给他人
· 【硬核科普】Trae如何「偷看」你的代码?零基础破解AI编程运行原理