Complete guide to Hadoop technology and storage
A comprehensive collection of articles, videos and more, hand-picked by our editors
Which issues can I expect to pop up with Hadoop Distributed File System (HDFS) and NameNode in Hadoop architec...
By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time. Contact TechTarget at 275 Grove Street, Newton, MA.
According to advanced Hadoop users and vendors that offer alternatives to HDFS, there are a number of issues you can expect. The one cited most often is that NameNode represents a single point of failure. When it goes offline, the cluster shuts down and has to be restarted at the beginning of the process that was running at the time of the failure. The Apache Hadoop community is working to address this problem, and Version 2.0 of Hadoop includes manual failover to a standby NameNode without the need to restart the cluster. A newer release is expected to include automated NameNode failover. Vendors are also coming to market with fixes such as a NameNode failover mode in HDFS, as well as file-system alternatives that don't use a NameNode function (that means no NameNode to fail).
Related Q&A from John Webster
John Webster describes how changes to HDFS and the NameNode can help to improve Hadoop infrastructure.continue reading
Understanding big data analytics, and how it differs from data warehousing, depends on time to information, content complexity and cost.continue reading
Scale-out and object-based storage systems are both built for scaling, but metadata characteristics are the difference maker.continue reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.