Hadoop is a programming framework that supports the processing and storage of large data sets in a distributed computing environment. The Hadoop core includes the analytics Map-Reduce engine and the distributed file system known as HDFS (Hadoop Distributed File System), which has several weaknesses that are listed as follows:
It had a single point of failure until the recent versions of HDFS
It isn't POSIX compliant
It stores at least 3 copies of data
It has a centralized name server resulting in scalability challenges
The Apache Hadoop project and other software vendors are working independently to fix these gaps in HDFS.
The Ceph community has done some development in this space, and it has a file system plugin for Hadoop that possibly overcomes the limitations of HDFS and can be used as a drop-in replacement for it. There are three requirements for using CephFS with HDFS; they are as follows:
Running the Ceph cluster
Running the Hadoop cluster
Installing the...