开源大数据平台 E-MapReduce v1 job流程分析的相关内容

文章 2016-04-13 来自：开发者社区

MapReduce V1：Job提交流程之JobTracker端分析

我们基于Hadoop 1.2.1源码分析MapReduce V1的处理流程。MapReduce V1实现中，主要存在3个主要的分布式进程（角色）：JobClient、JobTracker和TaskTracker，我们主要是以这三个角色的实际处理活动为主线，并结合源码，分析实际处理流程。上一篇我们分析了Job提交过程中JobClient端的处理流程（详见文章 MapReduce V1：Jo...

文章 2016-04-13 来自：开发者社区

MapReduce V1：Job提交流程之JobClient端分析

我们基于Hadoop 1.2.1源码分析MapReduce V1的处理流程。MapReduce V1实现中，主要存在3个主要的分布式进程（角色）：JobClient、JobTracker和TaskTracker，我们主要是以这三个角色的实际处理活动为主线，并结合源码，分析实际处理流程。下图是《Hadoop权威指南》一书给出的MapReduce V1处理Job的抽象流程图：如上图，我们展开阴影.....

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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。

产品控制台

立即开通

产品文档

优惠活动

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