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Ask Time：2015-02-03T05:35:46 Author：user1290942
In hadoop namenodes are a single point of failure. If you use a spark along side hadoop does Zookeeper take care of the single point of failure hadoop would normally have on its own? Or does it still rely on the namenode for the hdfs input
In hadoop namenodes are a single point of failure. If you use a spark along side hadoop does Zookeeper take care of the single point of failure hadoop would normally have on its own? Or does it still
I am looking for addressing the issue of single point failure by integrating Zookeeper and allow Hadoop to use the namespace from Zookeeper? Is it possible? how can we address this ?
I am trying to setup multi master spark for High Availability in Standalone mode. I have 6 node cluster: 6 workers and 2 masters are available. All of the 6 workers are showing up on Master 1 UI,
I've gone through the documentation for RM HA. I understand the fundamentals, except one key part. When an active RM goes down, how do the standby RMs know that one of them needs to take over? Belo...
The Namenode in the Hadoop architecture is a single point of failure. How do people who have large Hadoop clusters cope with this problem?. Is there an industry-accepted solution that has worked...
I am new to Hadoop. In hadoop, I know that when a NameNode fails the entire Hadoop framework goes down. So it's a single point of failure in Hadoop. Is it same for JobTracker? Because if the JobTra...
Hadoop 2.6 uses Yarn as a next generation map reduce and also is cluster manager. Do we still need to use zookeeper with the hadoop 2.6 for cluster managing services? How do we setup zookeeper. Ho...
In hadoop v 1 namenode is single point of failure but hadoop v 2 overcome to this problem but how does hadoop v 2 handles the failure of namenode
I have 2 questions: 1. Is NameNode still single point of failure in Hadoop YARN or new version of Hadoop e.g. 2.5? What is the single point of failure in Hadoop? 2. I saw Facebook is using Hydr...
I have set up a Hadoop high available cluster including 3 nodes as masters (3 journal nodes, active namenode, and standby namenode, with no secondary namenode) and 3 datanodes. using commands hadoop-