开源大数据平台 E-MapReduce系统学习的相关内容

文章 2023-07-17 来自：开发者社区

MapReduce系统学习(2)

Shuﬄe过程详解shuﬀer是一个网络拷贝的过程，是指通过网络把数据从map端拷贝到reduce端的过程.map阶段最左边有一个inputsplit，最终会产生一个map任务，map任务在执行的时候会k1,v1转化为k2,v2，这些数据会先临时存储到一个内存缓冲区中，这个内存缓冲区的大小默认是100M（io.sort.mb属性），当达到内存缓冲区大小的80%（io.sort.spill.per....

文章 2023-07-17 来自：开发者社区

MapReduce系统学习

MapReduce介绍计算扑克牌中的黑桃个数就是我们平时打牌时用的扑克牌，现在呢，有一摞牌，我想知道这摞牌中有多少张黑桃最直接的方式是一张一张检查并且统计出有多少张是黑桃，但是这种方式的效率比较低，如果说这一摞牌只有几十张也就无所谓了，如果这一摞拍有上千张呢？你一张一张去检查还不疯了？这个时候我们可以使用MapReduce的计算方法第一步：把这摞牌分配给在座的所有玩家 ....

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更新时间 2023-07-19 09:05:43

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开源大数据平台 E-MapReduce

开源大数据平台 E-MapReduce（简称“EMR”）是云原生开源大数据平台，向客户提供简单易集成的Hadoop、Hive、Spark、Flink、Presto、ClickHouse、StarRocks、Delta、Hudi等开源大数据计算和存储引擎服务。

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立即开通

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StarRocks 免费试用

产品入门

快速入门指导

常见问题

最佳实践

EMR实时计算实践