Hi Amandeep, Hadoop is definitely inspired by MapReduce/GFS and aims to provide those capabilities as an open-source project. HDFS is similar to GFS (large blocks, replication, etc); some notable things missing are read-write support in the middle of a file (unlikely to be provided because few Hadoop applications require it) and multiple appenders (the record append operation). You can read about HDFS architecture at http://hadoop.apache.org/core/docs/current/hdfs_design.html. The MapReduce part of Hadoop interacts with HDFS in the same way that Google's MapReduce interacts with GFS (shipping computation to the data), although Hadoop MapReduce also supports running over other distributed filesystems.
Matei On Sun, Feb 15, 2009 at 11:57 AM, Amandeep Khurana <ama...@gmail.com> wrote: > Hi > > Is the HDFS architecture completely based on the Google Filesystem? If it > isnt, what are the differences between the two? > > Secondly, is the coupling between Hadoop and HDFS same as how it is between > the Google's version of Map Reduce and GFS? > > Amandeep > > > Amandeep Khurana > Computer Science Graduate Student > University of California, Santa Cruz >
