Realtime Hadoop usage at Facebook -- Part 2 - Workload Types
This is the second part of our SIGMOD-2011 paper that describes our use case for Apache Hadoop and Apache HBase in realtime workloads. You can find the first part here. We describe why Hadoop and HBase fits the requirements of each of these applications. OUR WORKLOADS Before deciding on a particular software stack and whether or not to move away from our MySQL-based architecture, we looked at a fe
Realtime Hadoop usage at Facebook -- Part 1
Facebook recently deployed Facebook Messages, its first ever user-facing application built on the Apache Hadoop platform. It uses HDFS and HBase as core technologies for this solution. Since then, there are many more applications that have started to used HBase. We have gained some experience in deploying and operating HDFS and HBase at peta-byte scale for realtime-workloads and decided to write a
HDFS Scribe Integration
It is finally here: you can configure the open source log-aggregator, scribe, to log data directly into the Hadoop distributed file system. Many Web 2.0 companies have to deploy a bunch of costly filers to capture weblogs being generated by their application. Currently, there is no option other than a costly filer because the write-rate for this stream is huge. The Hadoop-Scribe integration allows
Hadoop AvatarNode High Availability
Our Use-Case The Hadoop Distributed File System's (HDFS) NameNode is a single point of falure. This has been a major stumbling block in using HDFS for a 24x7 type of deployment. It has been a topic of discussion among a wide circle of engineers. I am part of a team that is operating a cluster of 1200 nodes and a total size of 12 PB. This cluster is currently running hadoop 0.20. The NameNode is co
The Curse of the Singletons! The Vertical Scalability of Hadoop NameNode
Introduction HDFS is designed to be a highly scalable storage system and sites at Facebook and Yahoo have 20PB size file systems in production deployments. The HDFS NameNode is the master of the Hadoop Distributed File System (HDFS). It maintains the critical data structures of the entire file system. Most of HDFS design has focussed on scalability of the system, i.e. the ability to support a larg
Facebook has the world's largest Hadoop cluster!
It is not a secret anymore! The Datawarehouse Hadoop cluster at Facebook has become the largest known Hadoop storage cluster in the world. Here are some of the details about this single HDFS cluster:21 PB of storage in a single HDFS cluster2000 machines12 TB per machine (a few machines have 24 TB each)1200 machines with 8 cores each + 800 machines with 16 cores each32 GB of RAM per machine15 map-r
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