Book Image

Learning Spark SQL

By : Aurobindo Sarkar
Book Image

Learning Spark SQL

By: Aurobindo Sarkar

Overview of this book

In the past year, Apache Spark has been increasingly adopted for the development of distributed applications. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Hence, understanding the design and implementation best practices before you start your project will help you avoid these problems. This book gives an insight into the engineering practices used to design and build real-world, Spark-based applications. The book's hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL. It starts by familiarizing you with data exploration and data munging tasks using Spark SQL and Scala. Extensive code examples will help you understand the methods used to implement typical use-cases for various types of applications. You will get a walkthrough of the key concepts and terms that are common to streaming, machine learning, and graph applications. You will also learn key performance-tuning details including Cost Based Optimization (Spark 2.2) in Spark SQL applications. Finally, you will move on to learning how such systems are architected and deployed for a successful delivery of your project.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Using Spark with MongoDB (NoSQL database)


In this section, we will use with one of the most popular NoSQL databases - MongoDB. MongoDB is a distributed document database that stores data in JSON-like format. Unlike the rigid schemas in relational databases, the data structure in is a lot more flexible and the stored documents can have arbitrary fields. This flexibility combined with high availability and scalability features make it a good choice for data in many applications. It is also free and open-source software. 

Note

If you do not have MongoDB already installed and available, then you can download it from https://www.mongodb.org/downloads. Follow the installation instructions for your specific OS to install the database.

The New York City schools directory dataset for this example has been taken from the New York City Open Data website and can be downloaded from https://nycplatform.socrata.com/data?browseSearch=&scope=&agency=&cat=education&type=datasets.

After you...