MongoDB Cookbook

MongoDB Cookbook

By : Amol Nayak

Buy this Book

MongoDB Cookbook

By: Amol Nayak

Buy this Book

Overview of this book

<p>MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of numerous complex development systems. You will certainly find the MongoDB solution you are searching for in this book.</p> <p>Starting with how to initialize the server in three different modes with various configurations, you will then learn a variety of skills including the basics of advanced query operations and features in MongoDB and monitoring and backup using MMS. From there, you can delve into recipes on cloud deployment, integration with Hadoop, and improving developer productivity. By the end of this book, you will have a clear idea about how to design, develop, and deploy MongoDB.</p>

MongoDB Cookbook

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

Free Chapter

Installing and Starting the MongoDB Server

Introduction

Single node installation of 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 from the Mongo shell with a preloaded JavaScript

Connecting to a single node from a Java client

Starting multiple instances as part of a replica set

Connecting to the replica set from the shell to query and insert data

Connecting to the replica set to query and insert data from a Java client

Starting a simple sharded environment of two shards

Connecting to a shard from the Mongo shell and performing operations

Command-line Operations and Indexes

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

Background and foreground index creation from the shell

Creating unique indexes on collection and deleting the existing duplicate data automatically

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

Programming Language Drivers

Introduction

Installing PyMongo

Executing query and insert operations using PyMongo

Executing update and delete operations using PyMongo

Aggregation in Mongo using PyMongo

MapReduce in Mongo using PyMongo

Executing query and insert operations using a Java client

Executing update and delete operations using a Java client

Aggregation in Mongo using a Java client

MapReduce in Mongo using a Java client

Administration

Renaming a collection

Viewing collection stats

Viewing database stats

Disabling the preallocation of data files

Manually padding a document

Understanding the mongostat and mongotop utilities

Estimating the working set

Viewing and killing the currently executing operations

Using profiler to profile operations

Setting up users in MongoDB

Understanding interprocess security in MongoDB

Modifying collection behavior using the collMod command

Setting up MongoDB as a Windows Service

Configuring a replica set

Stepping down as a primary instance 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 nonsharded collections

Manually splitting and migrating chunks

Performing domain-driven sharding using tags

Exploring the config database in a sharded setup

Advanced Operations

Introduction

Atomic find and modify operations

Implementing atomic counters in MongoDB

Implementing server-side scripts

Creating and tailing capped collection cursors in MongoDB

Converting a normal collection to a capped collection

Storing binary data in MongoDB

Storing large data in MongoDB using GridFS

Storing data to GridFS from a Java client

Storing data to GridFS from a Python client

Implementing triggers in MongoDB using oplog

Executing flat plane (2D) geospatial queries in Mongo using geospatial indexes

Spherical indexes and GeoJSON-compliant data in MongoDB

Implementing a full-text search in MongoDB

Integrating MongoDB with Elasticsearch for a full-text search

Monitoring and Backups

Introduction

Signing up for MMS and setting up the MMS monitoring agent

Managing users and groups on the MMS console

Monitoring MongoDB instances on MMS

Setting up monitoring alerts on MMS

Backing up and restoring data in Mongo using out-of-the box tools

Configuring the MMS backup service

Managing backups in the MMS backup service

Cloud Deployment on MongoDB

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 using the MongoDB AMI

Setting up MongoDB on Amazon EC2 without using the MongoDB AMI

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

Open Source and Proprietary Tools

Introduction

Developing using spring-data-mongodb

Accessing MongoDB using Java Persistence API

Accessing MongoDB over REST

Installing the GUI-based client, MongoVUE, for MongoDB

Concepts for Reference

Write concern and its significance

Read preference for querying

Index

Customer Reviews

5 star

4 star

3 star

2 star

1 star

Accessing MongoDB using Java Persistence API

In this recipe, we will use a JPA provider that allows us to use JPA entities to achieve object-to-document mapping with MongoDB.

Getting ready

Start the standalone server instance that listens to port 27017. This is a Java project using JPA. Familiarity with JPA and its annotations is expected, though what we will be looking at is fairly basic. Refer to the Connecting to a single node from a Java client recipe in Chapter 1, Installing and Starting the MongoDB Server, to know how to set up Maven if you are not aware of it. Download the DataNucleusMongoJPA project from the code bundle provided with the book. Though we will execute the test cases from the command prompt, you may import the project in your favorite IDE to view the source code.

How to do it…

Go to the root directory of the DataNucleusMongoJPA project and execute the following command in the shell:
```
$ mvn clean test
```
This will download the necessary artifacts needed to build and run the...

MongoDB Cookbook

By : Amol Nayak

MongoDB Cookbook

By: Amol Nayak

Overview of this book

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Current Title:

MongoDB Cookbook

Accessing MongoDB using Java Persistence API

Getting ready

How to do it…