hadoop jar 与yarn jar具体的区别在哪

发布网友 发布时间：2022-05-02 15:27

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热心网友 时间：2022-04-14 08:56

lz说的是命令的执行吧。
hadoop jar 按mr1或yarn运行job，决定是否配置yarn。
yarn jar 按yarn方式运行job，必须启动dfs
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如果配置了yarn，则两种方式运行效果是一样的，即yarn执行，必须先启动dfs，无需启动yarn，因为会自启动后退出
dfs:start-dfs.sh
yarn:start-yarn.sh

热心网友 时间：2022-04-14 10:14

The /usr/bin/yarn script sets up the execution environment so that all of the yarn commands can be run. The /usr/bin/hadoop script isn't quite as concerned about yarn specific functionality. However, if you have your cluster set up to use yarn as the default implementation of maprece (MRv2), then hadoop jar will probably act the same as yarn jar for a maprece job.
Either way you're probably fine, but you can always check the resource manager (or job tracker) web interface to see how your job is distributed across the cluster (whether it's a single node cluster or not)
如果你设置yarn为maprece的默认资源调度平台，那么两个命令是一样的

热心网友 时间：2022-04-14 11:49

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