Installing Cassandra on Hadoop HDP Sandbox [Activity] | Cassandra with Hadoop Tutorial
This lecture is all about Installing Cassandra on Hadoop HDP Sandbox where we have installed the Python version 2.7 and setup the repository to install Cassandra service, then we have started the Cassandra service on our Hortonworks HDP Sandbox and created a KEYSPACE which is a Database for Casandra and created one table in it. Below are the commands for installing Cassandra:
If you have Python 2.6 then you have to install 2.7 alongside with previous version with below commands:
su root
yum install scl-utils
yum install centos-release-scl-rh
yum install python27
scl enable python27 bash
If you already have Python 2.7 installed, then start executing below commands (remember to login as a root user to get all the privileges)
cd /etc/yum.repos.d
vi datastax.repo
---------inside vi editor-------
[datastax]
name = DataStax Repo for Apache Cassandra
baseurl = http://rpm.datastax.com/community
enabled = 1
gpgcheck = 0
----------------------------------
yum install dsc30
service cassandra start
cqlsh
CREATE KEYSPACE moviesdata WITH replication = {'class': 'SimpleStrategy', 'replication_factor':'1'} AND durable_writes = true;
USE moviesdata;
CREATE TABLE users (user_id int, age int, gender text, occupation text, zip text, PRIMARY KEY (user_id));
DESCRIBE TABLE users;
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In the previous lecture we have seen Apache Cassandra which is a another NoSQL Database designed to handle Big Data on Hadoop with no single point of failure which makes it the most highly available NoSQL database choice for your application. We have seen what is Apache Cassandra, how the data is stored in Cassandra, CAP Theorem in detail, features of Cassandra, its real world use cases and how we can integrate Cassandra with Hadoop Ecosystem.
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HDP Sandbox Installation links:
Oracle VM Virtualbox: https://download.virtualbox.org/virtu...
HDP Sandbox link: https://archive.cloudera.com/hwx-sand...
HDP Sandbox installation guide: https://hortonworks.com/tutorial/sand...
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Audience
This tutorial is made for professionals who are willing to learn the basics of Big Data Analytics using Hadoop Ecosystem and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.
Prerequisites
Before you start proceeding with this course, I am assuming that you have some basic knowledge to Core Java, database concepts, and any of the Linux operating system flavors.
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