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How Many Daemon Processes Run On A Hadoop Cluster?

Answer»

Hadoop is COMPRISED of five separate daemons. Each of these daemons runs in its own JVM.

Following 3 Daemons run on Master nodes.

NameNode : This daemon stores and maintains the metadata for HDFS.

Secondary NameNode : Performs housekeeping functions for the NameNode.

JobTracker : Manages MapReduce jobs, distributes individual tasks to machines running the Task Tracker. Following 2 Daemons run on each SLAVE nodes

DataNode : Stores actual HDFS DATA blocks.

TaskTracker : It is Responsible for instantiating and MONITORING individual Map and Reduce tasks.

Hadoop is comprised of five separate daemons. Each of these daemons runs in its own JVM.

Following 3 Daemons run on Master nodes.

NameNode : This daemon stores and maintains the metadata for HDFS.

Secondary NameNode : Performs housekeeping functions for the NameNode.

JobTracker : Manages MapReduce jobs, distributes individual tasks to machines running the Task Tracker. Following 2 Daemons run on each Slave nodes

DataNode : Stores actual HDFS data blocks.

TaskTracker : It is Responsible for instantiating and monitoring individual Map and Reduce tasks.



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