MongoDB recipes : with data modeling and query building strategies / Subhashini Chellappan, Dharanitharan Ganesan.

Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss. MongoDB Recipe...

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Bibliographic Details
Main Author: Chellappan, Subhashini
Other Authors: Ganesan, Dharanitharan
Format: eBook
Language:English
Published: Berkeley, CA : Apress L.P., ©2020.
Subjects:
Online Access:Click for online access

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505 0 |a Intro -- Table of Contents -- About the Authors -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: MongoDB Features and Installation -- The Need for NoSQL Databases -- What Are NoSQL Databases? -- CAP Theorem -- BASE Approach -- Types of NoSQL Databases -- MongoDB Features -- Document Database -- MongoDB Is Schemaless -- MongoDB Uses BSON -- Rich Query Language -- Aggregation Framework -- Indexing -- GridFS -- Replication -- Sharding -- The mongo Shell -- Terms Used in MongoDB -- Data Types in MongoDB -- MongoDB Installation 
505 8 |a Recipe 1-1. Install MongoDB on Windows -- Problem -- Solution -- How It Works -- Step 1: Install the msi Installer -- Step 2: Create a Data Directory -- Step 3: Start the MongoDB Server -- Step 4: Start the MongoDB Client -- Recipe 1-2. Install MongoDB on Ubuntu -- Problem -- Solution -- How It Works -- Step 1: Extract the tarball -- Step 2: Create a Data Directory -- Step 3: Start the MongoDB Server -- Step 4: Start the MongoDB Client -- Recipe 1-3. Install MongoDB Compass on Windows -- Problem -- Solution -- How It Works -- Step 1: Install the MongoDB Compass msi Installer 
505 8 |a Step 2: Start the MongoDB Server -- Step 3: Connect MongoDB Compass with MongoDB Server -- Working with Database Commands -- Recipe 1-4. Create Database -- Problem -- Solution -- How It Works -- Step 1: Create a database -- Recipe 1-5. Drop Database -- Problem -- Solution -- How It Works -- Step 1: Drop a Database -- Recipe 1-6. Display List of Databases -- Problem -- Solution -- How It Works -- Step 1: Display a List of Databases -- Recipe 1-7. Display the Version of MongoDB -- Problem -- Solution -- How It Works -- Step 1: Display the Version of MongoDB -- Recipe 1-8. Display a List of Commands 
505 8 |a Problem -- Solution -- How It Works -- Step 1: Display a List of Commands -- Chapter 2: MongoDB CRUD Operations -- Collections -- Recipe 2-1. Create a Collection -- Problem -- Solution -- How It Works -- Step 1: Create a Collection -- Recipe 2-2. Create Capped Collections -- Problem -- Solution -- How It Works -- Step 1: Create a Capped Collection -- Step 2: Query a Capped Collection -- Step 3: Insert a Document into a Full Capped Collection -- Create Operations -- Recipe 2-3. Insert Documents -- Problem -- Solution -- How It Works -- Step 1: Insert a Single Document 
505 8 |a Step 2: Insert Multiple Documents -- Read Operations -- Recipe 2-4. Query Documents -- Problem -- Solution -- How It Works -- Step 1: Select All Documents in a collection -- Step 2: Specify Equality Conditions -- Step 3: Specify Conditions Using Query Operator -- Step 4: Specify AND Conditions -- Step 5: Specify OR Conditions -- Update Operations -- Recipe 2-5. Update Documents -- Problem -- Solution -- How It Works -- Step 1: Update a Single Document -- Step 2: Update Multiple Documents -- Step 3: Replace a Document -- Delete Operations -- Recipe 2-6. Delete Documents -- Problem -- Solution 
500 |a How It Works 
520 |a Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss. MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. You'll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB. You will: Work with the MongoDB document model Design MongoDB schemas Use the MongoDB query language Harness the aggregation framework Create replica sets and sharding in MongoDB. 
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