Hadoop distributed File System(HDFS) and command

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HDFS overview

HDFS is a distributed file system that handles large data sets running on commodity hardware. It is used to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes. HDFS is one of the major components of Apache Hadoop, the others being MapReduce and YARN.

Blocks in HDFS

Hadoop HDFS split large files into small chunks known as Blocks. Block is the physical representation of data. It contains a minimum amount of data that can be read or write. HDFS stores each file as blocks. HDFS client doesn’t have any control on the block like block location, Namenode decides all such things.

replication Factor

It is basically the number of times Hadoop framework replicate each and every Data Block. Block is replicated to provide Fault Tolerance. The default replication factor is 3 which can be configured as per the requirement; it can be changed to 2 (less than 3) or can be increased (more than 3.).

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