What is Single point of Failure in Hadoop 1 Cluster

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    • #5973
      DataFlair TeamDataFlair Team
      Spectator

      What is SPOF in Hadoop version 1.
      Why there is issue of single point of failure in Hadoop?
      Which is the single node (single point), which is very critical in Hadoop cluster

    • #5976
      DataFlair TeamDataFlair Team
      Spectator

      In Hadoop NameNode is a SPOF.
      Hadoop 1.0 NameNode has SPOF(Single Point Of Failure) problem- what does it really mean.
      It means that if the NameNode fails then Hadoop cluster will become out of the way. In case, if NameNode failure occurs then it requires manual intervention of Hadoop Administrator to recover the NameNode with the help of secondary NameNode.

      SPOF problem limits the availability of the Hadoop cluster in the following ways:
      If there are any planned maintenance activity of hardware or software upgrades on the Namenode then it will result in overall downtime of the Hadoop cluster.

      If any event of failure occurs in NameNode , which results in the machine crashing, then the Hadoop cluster would not be available unless the Hadoop Administrator restarts the NameNode.

      Why there is a issue of spof?

      SPOF is a single part of a system,which,if it fails,takes down the entire system.
      If only one person knows the database admin password, you can be sure they are on vacation when the password is needed.

    • #5979
      DataFlair TeamDataFlair Team
      Spectator

      What is SPOF in Hadoop version 1.
      SPOF – Single point of failure. — The NameNode is the single point of failure in Hadoop 1.0.

      Why there is issue of single point of failure in Hadoop?
      As namenode is master and responsible for assigning task to slaves (datanodes) when it fails it will take down whole cluster and lose of connection with datanodes impacting availability of data. Hence it’s a problem.

      Which is the single node (single point), which is very critical in Hadoop cluster
      Namenode is single point which is very critical. It can be considered as starting point for the task which assigns further work to slaves. Failing of namenode affects availability of data which is one of the pillar for hadoop. So it’s very critical.

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