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- Hadoop Blogs -
This is a well-known fact that Hadoop has become one of the popular and most used tools to handle big data. Though when people say Big Data then it may not be clear that what will be its size? But Big data were evolved to solve the problems associated with the huge amount of data.
Traditionally, data handling tools were not able to handle the vast amount of data but Hadoop and Big Data solved this problem. It has emerged as an effective tool which can not only handle big data instead in minimum time it can provide analytical result too.
This article is about Hadoop and the commands used to handle big data. As to master this framework you may need to master a few commands, so we will see here the commonly used commands of Hadoop. They are also known as Hadoop Distributed File System Shell Commands.
Hadoop framework is basically designed to handle a large volume of data both structured and unstructured. It can handle more structured and unstructured data, unlike traditional data warehouse. Traditionally, all of the important and useful data were ignored as the technology was not that much more efficient and other tools were also not there.
Hadoop is used for those data sources which are not structured, but whose information is highlyvaluable for the decision-making process of management. As Hadoop is a cost-effective tool and it can dramatically increase the organizational efficiency even if the data grows exponentially in an unstructured manner.
Hadoop has following organizational beneficial features:
In any organization, only 20% of data is structured while rest is in an unstructured form whose value is generally ignored. But Hadoop is quite flexible to handle both types of data. Being scalable platform new nodes can be easily created in Hadoop, which can help in processing huge amount of data.
Being fault-tolerant, data can be easily accessed even if any data node fails. Here, data is automatically replicated that makes Hadoop a completely reliable platform. It takes minimum time to process the huge amount of data due to batch and parallel processing techniques used in Hadoop.
Read: An Introduction to the Architecture & Components of Hadoop Ecosystem
A robust Hadoop ecosystem can handle the analytical needs of Hadoop development for small or large organizations. Hadoop tools can handle the variety of data, these tools include MapReduce, Hive, HCatalog, Zookeeper, ApachePig, and many more. As it is an open source framework, so it can provide parallel computing at no or minimal costs.
Hadoop Shell has a number of commands that can run directly from the command prompt of your operating system. Theses Hadoop shell commands are of following two types:
The following commands are generally used, you can also find the list of all commands on the Apache website. Let us discuss on Hadoop file automation commands one by one -
syntax: hdfsdfs –cat URI [URI- - -]
Syntax: hdfsdfs –chgrp [-R] GROUP URI [URI---]
Syntax: hdfsdfs –chmod [-R] <MODE[,MODE]- - -: OCTALMODE> URI [URI - - -]
Syntax: hdfsdfs –chown [-R][OWNER][:{GROUP]]URI[URI]
Syntax: hdfs dfs –count [-q] <paths>
Read: Difference Between Apache Hadoop and Spark Framework
Syntax: hdfsdfs –cp URI[URI - - -]<dest>
Syntax: hdfsdfs –du [-s][-h]URI [URI - - -]
Syntax: hdfs dfs –get[-ignorecrc][-crc]<src><localdst>
Syntax: hdfsdfs –ls <args>
Syntax: hdfsdfs –mkdir<path>
Syntax: hdfs dfs –mv URI[URI - - -]<dest>
Syntax: hdfsdfs –put<localsrc>- - -<dest>
Syntax: hdfsdfs –rmr[-skipTrash]URI[URI- - - ]
Read: What Is The Hadoop Cluster? How Does It Work?
Syntax: hdfsdfs –stat URI[URI - - -]
As described above Hadoop has two types of commands, so any Hadoop administrator must know all administrative commands. Some of the most used and important Hadoop administrative commands are:
Among above-listed commands, each command has its own specific purpose and can only be used by Hadoop administrators.
Final Words:
Summarizing all of the above-listed facts of HDFS, it can be said that user can easily handle Hadoop through just command line prompt and need not to any specific interface. Hadoop HDFS commands are much more powerful and possess lots of abilities. It is considered a useful platform worldwide and this is the popularity of platform that it has increased chances of jobs too for the learner. If you also wanted to give a new boost to your career then join Janbask’s Hadoop training program right away.
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