Detailed explanation of the extension method of Hadoop distributed file system (HDFS) in CentOS environment
This article will provide a detailed introduction to how to scale HDFS on CentOS systems to cope with the growing demand for data storage and processing. The entire process includes key steps such as preparation, node addition, data rebalancing, and final verification.
Preparation phase
Before starting the expansion, be sure to complete the following preparations:
- Resource Adequacy Check: Make sure the cluster has enough free resources to support the joining of new nodes, including CPU, memory, and disk space.
- Profile Update: All NameNode and DataNode node configuration files need to be updated to ensure they can communicate with the new node correctly.
Add a new node
To add a new node to the HDFS cluster, you need to do the following:
- Configuration file modification: Modify
hdfs-site.xml
andcore-site.xml
configuration files to correctly configure the IP addresses and port numbers of all new nodes. - Node formatting: Run the
hdfs namenode -format
command on each new DataNode node (note: this command formats the node, please be careful), then start the DataNode service and register it with the existing NameNode.
Data rebalancing
To ensure that the data is evenly distributed among all nodes, data rebalancing is required:
- Execute rebalancing: Run the
hdfs balancer
command to trigger the data rebalancing process. This will enable the data to be redistributed between new and existing nodes to optimize the overall performance and efficiency of the cluster.
Capacity expansion verification
After the capacity expansion is completed, be sure to verify:
- Cluster status check: Use the
hdfs dfsadmin -report
command to check the cluster status to ensure that all nodes are running normally and that the data is distributed balanced. Monitor cluster performance metrics, such as throughput and latency simultaneously.
Important Tips
- Data Backup: Before doing anything, it is strongly recommended to back up all existing data in case of accidental data loss.
- Performance impact: The HDFS capacity expansion process, especially the data rebalancing stage, may have a certain impact on cluster performance. It is recommended to expand capacity during low system load periods and closely monitor cluster performance indicators to promptly detect and resolve potential problems.
Through the above steps, you can successfully scale HDFS on your CentOS system to meet the growing data storage and processing needs. Remember to carefully check each step throughout the process and closely monitor the cluster's running status to ensure the scaling operation is completed smoothly.
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