Book Image

MongoDB Cookbook - Second Edition - Second Edition

By : Amol Nayak
Book Image

MongoDB Cookbook - Second Edition - Second Edition

By: Amol 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.

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MongoDB Cookbook - Second Edition - Second Edition
Amol Nayak
Jan, 2016 | 370 pages
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Table of Contents (17 chapters)
MongoDB Cookbook Second Edition
MongoDB Cookbook Second Edition
Credits
Credits
About the Authors
About the Authors
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Installing and Starting the Server
Installing and Starting the Server
Introduction
Installing single node MongoDB
Starting a single node instance using command-line options
Single node installation of MongoDB with options from the config file
Connecting to a single node in the Mongo shell with JavaScript
Connecting to a single node using a Java client
Connecting to a single node using a Python client
Starting multiple instances as part of a replica set
Connecting to the replica set in the shell to query and insert data
Connecting to the replica set to query and insert data from a Java client
Connecting to the replica set to query and insert data using a Python client
Starting a simple sharded environment of two shards
Connecting to a shard in the shell and performing operations
2
Command-line Operations and Indexes
Command-line Operations and Indexes
Introduction
Creating test data
Performing simple querying, projections, and pagination from Mongo shell
Updating and deleting data from the shell
Creating index and viewing plans of queries
Creating a background and foreground index in the shell
Creating and understanding sparse indexes
Expiring documents after a fixed interval using the TTL index
Expiring documents at a given time using the TTL index
3
Programming Language Drivers
Programming Language Drivers
Introduction
Executing query and insert operations with PyMongo
Executing update and delete operations using PyMongo
Implementing aggregation in Mongo using PyMongo
Executing MapReduce in Mongo using PyMongo
Executing query and insert operations using a Java client
Executing update and delete operations using a Java client
Implementing aggregation in Mongo using a Java client
Executing MapReduce in Mongo using a Java client
4
Administration
Administration
Introduction
Renaming a collection
Viewing collection stats
Viewing database stats
Manually padding a document
The mongostat and mongotop utilities
Getting current executing operations and killing them
Using profiler to profile operations
Setting up users in Mongo
Interprocess security in Mongo
Modifying collection behavior using the collMod command
Setting up MongoDB as a windows service
Replica set configurations
Stepping down as primary from the replica set
Exploring the local database of a replica set
Understanding and analyzing oplogs
Building tagged replica sets
Configuring the default shard for non-sharded collections
Manual split and migration of chunks
Domain-driven sharding using tags
Exploring the config database in a sharded setup
5
Advanced Operations
Advanced Operations
Introduction
Atomic find and modify operations
Implementing atomic counters in Mongo
Implementing server-side scripts
Creating and tailing a capped collection cursors in MongoDB
Converting a normal collection to a capped collection
Storing binary data in Mongo
Storing large data in Mongo using GridFS
Storing data to GridFS from Java client
Storing data to GridFS from Python client
Implementing triggers in Mongo using oplog
Flat plane 2D geospatial queries in Mongo using geospatial indexes
Spherical indexes and GeoJSON compliant data in Mongo
Implementing full text search in Mongo
Integrating MongoDB for full text search with Elasticsearch
6
Monitoring and Backups
Monitoring and Backups
Introduction
Signing up for MMS and setting up an MMS monitoring agent
Managing users and groups in MMS console
Monitoring instances and setting up alerts on MMS
Setting up monitoring alerts in MMS
Back up and restore data in Mongo using out-of-the-box tools
Configuring MMS Backup service
Managing backups in MMS Backup service
7
Deploying MongoDB on the Cloud
Deploying MongoDB on the Cloud
Introduction
Setting up and managing the MongoLab account
Setting up a sandbox MongoDB instance on MongoLab
Performing operations on MongoDB from MongoLab GUI
Setting up MongoDB on Amazon EC2 manually
Setting up MongoDB using the Docker containers
8
Integration with Hadoop
Integration with Hadoop
Introduction
Executing our first sample MapReduce job using the mongo-hadoop connector
Writing our first Hadoop MapReduce job
Running MapReduce jobs on Hadoop using streaming
Running a MapReduce job on Amazon EMR
9
Open Source and Proprietary Tools
Open Source and Proprietary Tools
Introduction
Developing using spring-data-mongodb
Accessing MongoDB using JPA
Accessing MongoDB over REST
Installing a GUI-based client, MongoVUE, for MongoDB
Concepts for Reference
Concepts for Reference
Write concern and its significance
Read preference for querying
Index
Index

About the Authors

Cyrus Dasadia always liked tinkering with open source projects since 1996. He has been working as a Linux system administrator and part-time programmer for over a decade. He works at InMobi, where he loves designing tools and platforms. His love for MongoDB started in 2013, when he was amazed by its ease of use and stability. Since then, almost all of his projects are written with MongoDB as the primary backend. Cyrus is also the creator of an open source alert management system called CitoEngine. He likes spending his spare time trying to reverse engineer software, playing computer games, or increasing his silliness quotient by watching reruns of Monty Python.

To my wife, Nilu, provider of unconditional love and support; recipient of bad jokes.

Amol Nayak is a MongoDB certified developer and has been working as a developer for over 8 years. He is currently employed with a leading financial data provider, working on cutting-edge technologies. He has used MongoDB as a database for various systems at his current and previous workplaces to support enormous data volumes. He is an open source enthusiast and supports it by contributing to open source frameworks and promoting them. He has made contributions to the Spring Integration project, and his contributions are the adapters for JPA, XQuery, MongoDB, Push notifications to mobile devices, and Amazon Web Services (AWS). He has also made some contributions to the Spring Data MongoDB project. Apart from technology, he is passionate about motor sports and is a race official at Buddh International Circuit, India, for various motor sports events. Earlier, he was the author of Instant MongoDB, Packt Publishing.

I would like to thank everyone at Packt Publishing who has been involved with this book. It started when Luke Presland from Packt Publishing approached me to author a book on Mongo. I was skeptical to take up the opportunity due to other commitments and tight deadlines, but if it wasn't for my mom, friends, and office colleagues who convinced me to take up the opportunity, I would not have written this book. The chapters and content covered was a lot, and I had a tough time keeping up with the timelines. A special thanks to Priyanka, Rebecca, Mary, and Joel with whom I interacted the most; they were very flexible to my changes in delivery timelines. A big thanks to Douglas Duncan and other reviewers of the book for reviewing the book closely and helping improve the quality of the content drastically. Finally, I would like to thank the other staff at Packt Publishing who were involved in the book's publishing process but haven't interacted with me.

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