Deep dive hadoop

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Information about Deep dive hadoop

Published on May 31, 2014

Author: jaksky

Source: slideshare.net

“Deep dive”

Key takeaways • NameNode is critical to cluster • NameNode doesn’t equal to SecondaryNameNode, no back up etc. • Client access cluster nodes • NameNode doesn’t take part in Data transfer

Map-Reduce

YARN – Map-Reduce

Key takeaways • YARN – promotes hadoop cluster to “universal computational cluster” • Map-Reduce is just one application running on cluster • Hadoop is not just a Map- Reduce since Hadoop 2.0

High Availability • Issue for Hadoop 1.x – NameNode SPOF – Problems with cluster maintenance – “Split the brain scenario” – “Shoot me in the HEAD” • Solutions: – NFS – Facebook’s “Avatar Node” – Hadoop 2.0 • Things to consider – Cold, Warm or Hot stand by – Manual, Semi-automated, Automated failover

Hadoop 2.0 HA – Key points • Hadoop HA doesn’t influence just HDFS • Provides semi-automated or automatic failover • Simplifies cluster maintenance • Complicates node installations • Cluster operations more complicated

Cluster processes Hadoop • NameNode • SecondaryNameNode • DataNode • ResourceManager • NodeManager • ZooKeeper • JournalNode • ZKFailOverControler • History server Hbase • HMaster • RegionServer • ZooKeeper

Service Profiles – Node Roles

Takeaway • HDFS should be “SAFE” – Possibility to protect data • Resource-Manager is now SPOF – We may not be able to process data in cluster

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