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Download E-books MongoDB in Action: Covers MongoDB version 3.0 PDF

By Kyle Banker


MongoDB in motion, moment Edition is a totally revised and up to date model. It introduces MongoDB 3.0 and the document-oriented database version. This completely paced e-book offers either the large photo you will want as a developer and adequate low-level aspect to meet method engineers.

Purchase of the print e-book features a unfastened booklet in PDF, Kindle, and ePub codecs from Manning Publications.

About the Technology

This document-oriented database was once equipped for top availability, helps wealthy, dynamic schemas, and allows you to simply distribute information throughout a number of servers. MongoDB 3.0 is versatile, scalable, and intensely speedy, regardless of giant info loads.

About the Book

MongoDB in motion, moment Edition is a totally revised and up-to-date model. It introduces MongoDB 3.0 and the document-oriented database version. This completely paced publication can provide either the massive photo you will need as a developer and sufficient low-level element to fulfill procedure engineers. plenty of examples can assist you improve self belief within the the most important zone of knowledge modeling. you are going to additionally love the deep causes of every characteristic, together with replication, auto-sharding, and deployment.

What's Inside

  • Indexes, queries, and traditional DB operations
  • Aggregation and textual content searching
  • Map-reduce for customized aggregations and reporting
  • Deploying for scale and excessive availability
  • Updated for Mongo 3.0
  • About the Reader

    Written for builders. No past MongoDB or NoSQL adventure is assumed.

    About the Authors

    After operating at MongoDB, Kyle Banker is now at a startup. Peter Bakkum is a developer with MongoDB services. Shaun Verch has labored at the center server staff at MongoDB. A Genentech engineer, Doug Garrett is without doubt one of the winners of the MongoDB Innovation Award for Analytics. A software program architect, Tim Hawkins has led seek engineering at Yahoo Europe. Technical Contributor: Wouter Thielen. Technical Editor: Mihalis Tsoukalos.

    Table of Contents


    1. A database for the fashionable internet
    2. MongoDB during the JavaScript shell
    3. Writing courses utilizing MongoDB
    4. PART 2 program improvement IN MONGODB

    5. Document-oriented info
    6. Constructing queries
    7. Aggregation
    8. Updates, atomic operations, and deletes

    10. Indexing and question optimization
    11. Text seek
    12. WiredTiger and pluggable garage
    13. Replication
    14. Scaling your procedure with sharding
    15. Deployment and administration

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    Here’s an instance: { _id: 10, username: 'peter', e-mail: 'pbbakkum@gmail. com' } it is a lovely easy record; it’s storing a number of fields of knowledge a couple of consumer (he sounds cool). What’s the good thing about this version? think about the case the place you’d prefer to shop a number of emails for every consumer. within the relational international, chances are you'll create a separate desk of e-mail addresses and the clients to which they’re linked. MongoDB supplies differently to shop those: { _id: 10, username: 'peter', e-mail: [ 'pbbakkum@gmail. com', 'pbb7c@virginia. edu' ] } And similar to that, you’ve created an array of e mail addresses and solved your challenge. As a developer, you’ll locate it super worthy so one can shop a established rfile like this on your database with no being concerned approximately becoming a schema or including extra tables while your info adjustments. MongoDB’s record layout is predicated on JSON, a favored scheme for storing arbitrary facts buildings. JSON is an acronym for JavaScript item Notation. As you simply observed, JSON buildings include keys and values, they usually can nest arbitrarily deep. They’re analogous to the dictionaries and hash maps of alternative programming languages. A document-based info version can symbolize wealthy, hierarchical information buildings. It’s usually attainable to do with no the multitable joins universal to relational databases. for instance, think you’re modeling items for an e-commerce website. With an absolutely www. it-ebooks. information Built for the web five normalized relational facts version, the knowledge for anyone product should be divided between dozens of tables. with a view to get a product illustration from the database shell, you’ll have to write a SQL question packed with joins. With a rfile version, against this, such a lot of a product’s details might be represented inside a unmarried rfile. in the event you open the MongoDB JavaScript shell, you could simply get a understandable illustration of your product with all its info hierarchically prepared in a JSON-like constitution. you may also question for it and manage it. MongoDB’s question services are designed particularly for manipulating based records, so clients switching from relational databases event an identical point of question strength. moreover, such a lot builders now paintings with object-oriented languages, and so they need a facts shop that higher maps to things. With MongoDB, an item outlined within the programming language can usually be endured as is, elimination the various complexity of item mappers. If you’re skilled with relational databases, it may be beneficial to method MongoDB from the viewpoint of transitioning your latest abilities into this new database. If the excellence among a tabular and item illustration of knowledge is new to you, if in case you have loads of questions. leisure guaranteed that via the top of this bankruptcy you’ll have an intensive evaluate of MongoDB’s positive aspects and layout pursuits. You’ll examine the historical past of MongoDB and take a journey of the database’s major good points. subsequent, you’ll discover a few substitute database ideas within the NoSQL2 class and notice how MongoDB matches in.

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