Incompatible clusterIDs error in datanode logs

When your datanodes are not starting due to java.io.IOException: Incompatible clusterIDs error, means you have formatted namenode with out deleting files from datanode.

java.io.IOException: Incompatible clusterIDs in /tmp/hadoop-ubuntu/dfs/data: namenode clusterID = CID-7dc253be-a1e4-4bf6-b051-9f495185c892; datanode clusterID = CID-90f3ade0-0287-45be-a1db-e94cf5b3147d
        at org.apache.hadoop.hdfs.server.datanode.DataStorage.doTransition(DataStorage.java:736)
        at org.apache.hadoop.hdfs.server.datanode.DataStorage.loadStorageDirectory(DataStorage.java:294)

You will get this error when the cluster ID of name node and cluster ID of data node are different. We can see the cluster ID of name node in <dfs.namenode.name.dir>/current/VERSION file and cluster ID of data node in <dfs.datanode.data.dir>/current/VERSION file.

Precaution:

Before formatting the name node, we need to delete the files under <dfs.datanode.data.dir>/ directories on all data nodes.

Solution to Fix:

Below are two solutions to fix this, use the one that suits to your need.

Solution 1=> If you have valid data on cluster and do not want to delete it then, copy the clusterID from VERSION file of namenode and past it on datanode VERSION file.

Solution 2 => delete all files from <dfs.datanode.data.dir> of datanode and<dfs.datanode.data.dir> of namenode directory and format namenode using below command

hdfs namenode -format

If this resolves your issue, please leave us a comment. It would be helpful for others.

Related Articles

• Apache Hadoop Installation on Ubuntu (multi-node cluster).
• Hadoop Copy Local File to HDFS – PUT Command
• Start H2O Cluster on Hadoop (External Backend)
• Hadoop Yarn Configuration on Cluster
• Spark Step-by-Step Setup on Hadoop Yarn Cluster
• WARNING: “HADOOP_PREFIX has been replaced by HADOOP_HOME. Using value of HADOOP_PREFIX.