Instant MongoDB - Nayak, Amol Radlin

MongoDB is a high-performance and feature-rich Document Orientated Database. This popular, highly scalableNoSQL database is used to power some of the world's most used applications and websites.MongoDB Starter is designed to get you working with MongoDB as quickly as possible. Starting with the installation and setup, we quickly show you how to start importing your data into the database. Furthermore, you will learn about CRUD operations in MongoDB, its Map Reduce support, schema design, and performance tuning operations.After successfully installing and setting up MongoDB, you will be introduced to important configuration parameters and the terminologies used in the Mongo world and their equivalent in the relational world. You will learn how to import data into the database and connect to the MongoDB from the Mongo shell and execute some queries. We will then move on to advanced topics such as performing insert, update and upsert(update + insert) operations, executing advanced queries, schema design concepts, and creating indexes for performance. MongoDB Starter finishes with a look at the new aggregation framework, Map Reduce operations, and how to bulk import and export data. Spis treści: Instant MongoDB Instant MongoDB Credits About the Author About the Reviewer www.packtpub.com Support files, eBooks, discount offers and more packtlib.packtpub.com Why Subscribe? Free Access for Packt account holders 1. Instant MongoDB So, what is MongoDB? What is a document? What does a document look like? Need for MongoDB Scalability Ease of development Installation Step 1 basic requirements Step 2 installing MongoDB Step 3 server fails to start And thats it Quick start setting up database and querying Step 1 executing your first query on MongoDB Step2 summing up and moving on Top 4 features you need to know about Finding documents Let's find one and all Nailing down to few documents Selecting a limited set of fields Paginating and sorting documents Yet more comparison operators Checking for the existence of a field Getting logical Accessing the nested fields The leftover operators Putting it all together Scenario Analysis Inserts, updates, and upserts Update operators to our rescue Design something that does not exist Index creation Designing the collections Good old relational way The Mongo way It's all about grouping things The aggregation framework The project operator ($project) The match operation ($match) The limit operator ($limit) The skip operator ($skip) The unwind operator ($unwind) The sort operator ($sort) The group operator ($group) Scenario Analysis Aggregation using Map reduce Scenario Summary People and places you should get to know Official sites Articles and tutorials Community Twitter