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MongoDB Cookbook - Second Edition

MongoDB Cookbook - Second Edition

By : Dasadia, Nayak
5 (2)
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MongoDB Cookbook - Second Edition

MongoDB Cookbook - Second Edition

5 (2)
By: Dasadia, Nayak

Overview of this book

MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations – it’s easy to see why it’s the most popular NoSQL database on the market. Packed with many features that have become essential for many different types of software professionals and incredibly easy to use, this cookbook contains many solutions to the everyday challenges of MongoDB, as well as guidance on effective techniques to extend your skills and capabilities. This book starts with how to initialize the server in three different modes with various configurations. You will then be introduced to programming language drivers in both Java and Python. A new feature in MongoDB 3 is that you can connect to a single node using Python, set to make MongoDB even more popular with anyone working with Python. You will then learn a range of further topics including advanced query operations, monitoring and backup using MMS, as well as some very useful administration recipes including SCRAM-SHA-1 Authentication. Beyond that, you will also find recipes on cloud deployment, including guidance on how to work with Docker containers alongside MongoDB, integrating the database with Hadoop, and tips for improving developer productivity. Created as both an accessible tutorial and an easy to use resource, on hand whenever you need to solve a problem, MongoDB Cookbook will help you handle everything from administration to automation with MongoDB more effectively than ever before.
Table of Contents (12 chapters)
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11
Index

Creating test data

This recipe is about creating test data for some of the recipes in this chapter and also for the later chapters in this book. We will demonstrate how to load a CSV file in a mongo database using the mongo import utility. This is a basic recipe, and if the reader is aware of the data import utility; they can just download the CSV file from the Packt website (pincodes.csv), load it in the collection by themselves, and skip the rest of the recipe. We will use the default database, test, and the collection will be named postalCodes.

Getting ready

The data used here is for postcodes in India. Download the pincodes.csv file from the Packt website. The file is a CSV file with 39,732 records; it should create 39,732 documents on successful import. We need to have the Mongo server up and running. Refer to the Installing single node MongoDB recipe from Chapter 1, Installing and Starting the Server for instructions on how to start the server. The server should begin listening for...

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