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in Big Data Hadoop & Spark by (11.9k points)

I see there are several ways we can start hadoop ecosystem,

  1. start-all.sh & stop-all.sh Which say it's deprecated use start-dfs.sh & start-yarn.sh.

  2. start-dfs.sh, stop-dfs.sh and start-yarn.sh, stop-yarn.sh

  3. hadoop-daemon.sh namenode/datanode and yarn-deamon.sh resourcemanager

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start-all.sh & stop-all.sh 

Used to start and stop Hadoop daemons all at once. Issuing it on the master machine will start/stop the daemons on all the nodes of a cluster. Deprecated as you have already noticed.

start-dfs.sh, stop-dfs.sh and start-yarn.sh, stop-yarn.sh  

Same as above but start/stop HDFS and YARN daemons separately on all the nodes from the master machine. It is advisable to use these commands now over start-all.sh & stop-all.sh

hadoop-daemon.sh namenode/datanode and yarn-deamon.sh resourcemanager  

To start individual daemons on an individual machine manually. You need to go to a particular node and issue these commands.

Use case : Suppose you have added a new DN to your cluster and you need to start the DN daemon only on this machine,

bin/hadoop-daemon.sh start datanode

Note : You should have ssh enabled if you want to start all the daemons on all the nodes from one machine.

Hope this answers your query.

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