Book Image

Learning Apache Spark 2

Book Image

Learning Apache Spark 2

Overview of this book

Apache Spark has seen an unprecedented growth in terms of its adoption over the last few years, mainly because of its speed, diversity and real-time data processing capabilities. It has quickly become the preferred choice of tool for many Big Data professionals looking to find quick insights from large chunks of data. This book introduces you to the Apache Spark framework, and familiarizes you with all the latest features and capabilities introduced in Spark 2. Starting with a detailed introduction to Spark’s architecture and the installation procedure, this book covers everything you need to know about the Spark framework in the most practical manner. You will learn how to perform the basic ETL activities using Spark, and work with different components of Spark such as Spark SQL, as well as the Dataset and DataFrame APIs for manipulating your data. Then, you will perform machine learning using Spark MLlib, as well as perform streaming analytics and graph processing using the Spark Streaming and GraphX modules respectively. The book also gives special emphasis on deploying your Spark models, and how they can be operated in a clustered mode. During the course of the book, you will come across implementations of different real-world use-cases and examples, giving you the hands-on knowledge you need to use Apache Spark in the best possible manner.
Table of Contents (12 chapters)

Running Spark in Mesos


Mesos is an open source cluster manager started as a UC Berkley research project in 2008 and quite widely used by a number of organizations. Spark supports Mesos, and Matei Zahria has given a key note at Mesos Con in June of 2016. Here is a link to the YouTube video of the keynote: http://bit.ly/2huK1aC.

Before you start

If you haven't installed Mesos previously, the getting started page on the Apache website gives a good walk through of installing Mesos on Windows, MacOS, and Linux. Follow the URL https://mesos.apache.org/gettingstarted/.

  1. Once installed you need to start-up Mesos on your cluster
  2. Starting Mesos Master: ./bin/mesos-master.sh -ip=[MasterIP] -work-dir=/var/lib/mesos
  3. Start Mesos Agents on all your worker nodes: ./bin/mesos-agent.sh -master=[MasterIp]:5050 -work-dir=/var/lib/mesos
  4. Make sure Mesos is up and running with all your relevant worker nodes configured: http://[MasterIP]@5050

Make sure that Spark binary packages are available and accessible by Mesos....