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This article mainly introduces "what is the principle of high availability implementation of HDFS in Hadoop2.2.0". In daily operation, I believe many people have doubts about the principle of high availability implementation of HDFS in Hadoop2.2.0. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the question of "what is the principle of high availability implementation of HDFS in Hadoop2.2.0?" Next, please follow the editor to study!

In a HA cluster, you need to prepare the following:

(1), NameNode machines: machines running Active NN and Standby NN require the same hardware configuration

(2), JournalNode machines: the machine running JN. JN daemons are relatively lightweight, so they can be run on the same machine by other daemon threads, such as NN,YARN ResourceManager. In a cluster, at least 3 JN daemons need to be run, which will give the system some fault tolerance. Of course, you can also run more than 3 JN, but in order to increase the fault tolerance of the system, you should run an odd number of JN (3, 5, 7, etc.). When running N JN, the system will tolerate a maximum of 2 JN crashes.

In a HA cluster, Standby NN also executes checkpoints of namespace state, so it is not necessary to run Secondary NN, CheckpointNode, and BackupNode;. In fact, it is wrong to run these daemons.

At this point, the study on "what is the principle of high availability implementation of HDFS in Hadoop2.2.0" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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