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Home > Data > Database Administration > MongoDB Cookbook - Second Edition
MongoDB Cookbook - Second Edition
MongoDB Cookbook - Second Edition

MongoDB Cookbook - Second Edition: Modern Database Management Made Easy , Second Edition

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MongoDB Cookbook - Second Edition

Chapter 2. Command-line Operations and Indexes

In this chapter, we will cover the following topics:

  • Creating test data
  • Performing simple querying, projections, and pagination from the Mongo shell
  • Updating and deleting data from the shell
  • Creating an 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

Introduction

In this chapter we will be performing simple queries using the mongo shell. Later in the chapter, we will have a detailed look at commonly used MongoDB indexes.

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...

Performing simple querying, projections, and pagination from Mongo shell

In this recipe, we will get our hands dirty with a bit of querying to select documents from the test data that we set up in our previous recipe, Creating test data. There is nothing extravagant in this recipe and someone who is well versed with the query language basics can skip this recipe. Others who aren't too comfortable with basic querying or those who want to get a small refresher can continue to read the next section of the recipe. Additionally, this recipe is intended to get a feel of the test data setup from the previous recipe.

Getting ready

To execute simple queries, we need to have a server up and running. A simple single node is what we need. 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 data that we would be operating on needs to be imported in the database. The steps to import the data are given...

Updating and deleting data from the shell

This again will be a simple recipe that will be looking at executing deletes and updates on a test collection. We won't be dealing with the same test data that we imported as we don't want to update/delete any of that, but instead, we will work on a test collection created for this recipe only.

Getting ready

For this recipe, we will create a collection called updAndDelTest. We will require the server to be 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. Start the shell with the UpdAndDelTest.js script loaded. This script will be available on the Packt website for download. To know how to start the shell with a script preloaded, refer to the Connecting to a single node in the Mongo shell with JavaScript recipe in Chapter 1, Installing and Starting the Server.

How to do it…

  1. Start the MongoDB shell and preload the script:
    ...

Creating index and viewing plans of queries

In this recipe, we will look at querying the data, analyzing its performance by explaining the query plan, and then optimizing it by creating indexes.

Getting ready

For the creation of indexes, we need to have a server up and running. A simple single node is what we need. 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 data that we will operate on needs to be imported in the database. The steps to import the data are given in the previous recipe, Creating test data. Once this prerequisite is complete, we are good to go.

How to do it…

We are trying to write a query that would find us all the zip codes in a given state.

  1. Execute the following query to view the plan of this query:
    > db.postalCodes.find({state:'Maharashtra'}).explain('executionStats')

    Take a note of the following fields: stage, nReturned, totalDocsExamined...

Introduction

In this chapter we will be performing simple queries using the mongo shell. Later in the chapter, we will have a detailed look at commonly used MongoDB indexes.

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 connections...

Performing simple querying, projections, and pagination from Mongo shell

In this recipe, we will get our hands dirty with a bit of querying to select documents from the test data that we set up in our previous recipe, Creating test data. There is nothing extravagant in this recipe and someone who is well versed with the query language basics can skip this recipe. Others who aren't too comfortable with basic querying or those who want to get a small refresher can continue to read the next section of the recipe. Additionally, this recipe is intended to get a feel of the test data setup from the previous recipe.

Getting ready

To execute simple queries, we need to have a server up and running. A simple single node is what we need. 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 data that we would be operating on needs to be imported in the database. The steps to import the data are given in the...

Updating and deleting data from the shell

This again will be a simple recipe that will be looking at executing deletes and updates on a test collection. We won't be dealing with the same test data that we imported as we don't want to update/delete any of that, but instead, we will work on a test collection created for this recipe only.

Getting ready

For this recipe, we will create a collection called updAndDelTest. We will require the server to be 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. Start the shell with the UpdAndDelTest.js script loaded. This script will be available on the Packt website for download. To know how to start the shell with a script preloaded, refer to the Connecting to a single node in the Mongo shell with JavaScript recipe in Chapter 1, Installing and Starting the Server.

How to do it…

  1. Start the MongoDB shell and preload the script:

    $ mongo --shell updAndDelTest...
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Page 1 of 10

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Key benefits

  • Get to grips with the latest features of MongoDB 3
  • Interact with the MongoDB server and perform a wide range of query operations from the shell
  • From administration to automation, this cookbook keeps you up to date with the world’s leading NoSQL database

Description

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.

Who is this book for?

This book is engineered for anyone who is interested in managing data in an easy and efficient way using MongoDB. You do not need any prior knowledge of MongoDB, but it would be helpful if you have some programming experience in either Java or Python.

What you will learn

  • Install, configure, and administer MongoDB sharded clusters and replica sets
  • Begin writing applications using MongoDB in Java and Python languages
  • Initialize the server in three different modes with various configurations
  • Perform cloud deployment and introduce PaaS for Mongo
  • Discover frameworks and products built to improve developer productivity using Mongo
  • Take an in-depth look at the Mongo programming driver APIs in Java and Python
  • Set up enterprise class monitoring and backups of MongoDB

Product Details

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Publication date : Jan 13, 2016
Length: 370 pages
Edition : 2nd
Language : English
ISBN-13 : 9781785286827
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Category :
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Concepts :
Database Administration
Tools :
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Publication date : Jan 13, 2016
Length: 370 pages
Edition : 2nd
Language : English
ISBN-13 : 9781785286827
Vendor :
MongoDB
Category :
Data
Concepts :
Database Administration
Tools :
MongoDB

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Table of Contents

11 Chapters
1. Installing and Starting the Server Chevron down icon Chevron up icon
1. 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 Chevron down icon Chevron up icon
2. 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 Chevron down icon Chevron up icon
3. 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 Chevron down icon Chevron up icon
4. 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 Chevron down icon Chevron up icon
5. 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 Chevron down icon Chevron up icon
6. 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 Chevron down icon Chevron up icon
7. 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 Chevron down icon Chevron up icon
8. 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 Chevron down icon Chevron up icon
9. 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
A. Concepts for Reference Chevron down icon Chevron up icon
A. Concepts for Reference
Write concern and its significance
Read preference for querying
Index Chevron down icon Chevron up icon
Index

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Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(2 Ratings)
5 star 100%
4 star 0%
3 star 0%
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1 star 0%
Dave Jul 14, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have several books on MongoDB and manage a cluster of MongoDB servers. After this much experience, I *should* know a lot of what's already in this book (and do). However, there were several nuggets of great information that I hadn't seen before. Easy to read with lots of concise examples.
Amazon Verified review Amazon
[email protected] Jun 25, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
It a good book with Lots of useful examples
Amazon Verified review Amazon

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About the authors

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Profile icon Nayak
Nayak
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.
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Profile icon Dasadia
Dasadia
Cyrus Dasadia has enjoyed 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 blossomed in 2013, when he was amazed by its ease of use and stability. Since then, almost all of his projects have been written with MongoDB as the primary backend. Cyrus is also the creator of an open source alert management system called CitoEngine. His spare time is devoted to trying to reverse-engineer software, playing computer games, or increasing his silliness quotient by watching reruns of Monty Python.
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  • If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
  • To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
  • To view your account details or to download a new copy of the book go to www.packtpub.com/account
  • To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us
What eBook formats do Packt support? Chevron down icon Chevron up icon

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks? Chevron down icon Chevron up icon
  • You can get the information you need immediately
  • You can easily take them with you on a laptop
  • You can download them an unlimited number of times
  • You can print them out
  • They are copy-paste enabled
  • They are searchable
  • There is no password protection
  • They are lower price than print
  • They save resources and space
What is an eBook? Chevron down icon Chevron up icon

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.