Writing Data to Cassandra using Spark | Integrating Spark with Cassandra | Big Data Hadoop Tutorial
This lecture is all about writing data to Cassandra using Apache Spark/PySpark where we have used Spark with Python to create RDD/DataFrame on top of our Big Data file and write to the Cassandra table present in KEYSPACE. Below are the commands to get the required files and load the data in Cassandra table using Apache Spark/PySpark
Get the required files and commands to submit the job:
su root
cd /etc/yum.repos.d
wget https://raw.githubusercontent.com/ash...
hadoop fs -mkdir /user/maria_dev/cassandra
hadoop fs -copyFromLocal movies.user /user/maria_dev/cassandra/movies.user
wget https://raw.githubusercontent.com/ash...
service cassandra start
export SPARK_MAJOR_VERSION=2
spark-submit --packages com.datastax.spark:spark-cassandra-connector_2.11:2.4.2 cassandraspark.py
In the previous lecture we have seen 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.
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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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