Book Image

MongoDB Administrator???s Guide

By : Cyrus Dasadia
Book Image

MongoDB Administrator???s Guide

By: Cyrus Dasadia

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. Packed with many features that have become essential for many different types of software professional and incredibly easy to use, this cookbook contains more than 100 recipes to address the everyday challenges of working with MongoDB. Starting with database configuration, you will understand the indexing aspects of MongoDB. The book also includes practical recipes on how you can optimize your database query performance, perform diagnostics, and query debugging. You will also learn how to implement the core administration tasks required for high-availability and scalability, achieved through replica sets and sharding, respectively. You will also implement server security concepts such as authentication, user management, role-based access models, and TLS configuration. You will also learn how to back up and recover your database efficiently and monitor server performance. By the end of this book, you will have all the information you need—along with tips, tricks, and best practices—to implement a high-performance MongoDB solution.

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Table of Contents (17 chapters)
Title Page
Title Page
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Customer Feedback
Customer Feedback
Preface
Preface
Free Chapter
1
Installation and Configuration
Installation and Configuration
Introduction
Installing and starting MongoDB on Linux
Installing and starting MongoDB on macOS
Binding MongoDB process to a specific network interface and port
Enabling SSL for MongodDB
Choosing the right MongoDB storage engine
Changing storage engine
Separating directories per database
Customizing the MongoDB configuration file
Running MongoDB as a Docker container
2
Understanding and Managing Indexes
Understanding and Managing Indexes
Introduction
Creating an index
Managing existing indexes
How to use compound indexes
Creating background indexes
Creating TTL-based indexes
Creating a sparse index
Creating a partial index
Creating a unique index
3
Performance Tuning
Performance Tuning
Introduction
Configuring disks for better I/O
Measuring disk I/O performance with mongoperf
Finding slow running queries and operations
Storage considerations when using Amazon EC2
Figuring out the size of a working set
4
High Availability with Replication
High Availability with Replication
Introduction
Initializing a new replica set
Adding a node to the replica set
Removing a node from the replica set
Working with an arbiter
Switching between primary and secondary nodes
Changing replica set configuration
Changing priority to replica set nodes
5
High Scalability with Sharding
High Scalability with Sharding
Understanding sharding and its components
Setting up and configuring a sharded cluster
Managing chunks
Moving non-sharded collection data from one shard to another
Removing a shard from the cluster
Understanding tag aware sharding – zones
6
Managing MongoDB Backups
Managing MongoDB Backups
Introduction
Taking backup using mongodump tool
Taking backup of a specific mongodb database or collection
Taking backup of a small subset of documents in a collection
Using bsondump tool to view mongodump output in human readable form
Creating a point in time backup of replica sets
Using the mongoexport tool
Creating a backup of a sharded cluster
7
Restoring MongoDB from Backups
Restoring MongoDB from Backups
Introduction
Restoring standalone MongoDB using the mongorestore tool
Restoring specific database or specific collection
Restoring data from one collection or database to another
Creating a new MongoDB replica set node using backups
Restoring a MongoDB sharded cluster from backup
8
Monitoring MongoDB
Monitoring MongoDB
Introduction
Monitoring MongoDB performance with mongostat
Checking replication lag of nodes in a replica set
Monitoring and killing long running operations on MongoDB
Checking disk I/O usage
Collecting MongoDB metrics using Diamond and Graphite
9
Authentication and Security in MongoDB
Authentication and Security in MongoDB
Introduction
Setting up authentication in MongoDB and creating a superuser account
Creating normal users and assigning built-in roles
Creating and assigning custom roles
Restoring access if you are locked out
Using key files to authenticate servers in a replica set
10
Deploying MongoDB in Production
Deploying MongoDB in Production
Introduction
Configuring MongoDB for a production deployment
Upgrading production MongoDB to a newer version
Setting up and configuring TLS (SSL)
Restricting network access using firewalls

Managing existing indexes

In this recipe, we will be looking at some common operations we can perform on indexes like viewing, deleting, checking index sizes, and re-indexing.

Getting ready

For this recipe, load the sample dataset and create an index on the city field, as described in the previous recipe.

How to do it...

  1. We begin by connecting to the mongo shell of the server and viewing all indexes on the system:
> db.mockdata.getIndexes()

The following result is obtained:

[
  {
    "v" : 2,
    "key" : {
      "_id" : 1
    },
    "name" : "_id_",
    "ns" : "mydb.mockdata"
  },
  {
    "v" : 2,
    "key" : {
      "city" : 1,
      "first_name" : 1
    },
    "name" : "city_1_first_name_1",
    "ns" : "mydb.mockdata"
  }
]
  1. Execute a dropIndex() command to delete a particular index:
> db.mockdata.dropIndex('city_1_first_name_1')

You should see the following result:

 

{ "nIndexesWas" : 2, "ok" : 1 }
  1. Let's recreate the index:
> db.mockdata.createIndex({'city':1}, {name: 'city_index'})

{
   ...
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