This document provides an introduction to MongoDB, including what it is, its key features, and how to work with documents in the MongoDB shell. MongoDB is an open-source, document-based database that is horizontally scalable, high performance, and full featured. It uses documents similar to JSON objects which can have various data structures. The document shows how to insert, query, update, and index documents using the MongoDB shell. Examples demonstrate working with collections like users, books, and authors in a sample library application. Schemas are flexible and evolve with the application's needs.
This document provides an introduction to MongoDB and how to build a basic application using MongoDB. It discusses key MongoDB concepts like documents, collections, querying, indexing and references. It walks through creating collections for users, books, authors and publishers and inserting sample documents. It demonstrates basic CRUD operations and querying. The document suggests starting simply and letting the schema evolve as the application is built.
Building Your First App: An Introduction to MongoDBMongoDB
This document provides an introduction to MongoDB and demonstrates how to build a simple library management application using MongoDB. It discusses key MongoDB concepts like documents, collections, embedded documents, and references. It shows how to insert, query, update, and index data without needing to pre-define schemas. The document builds out a sample library application data model with books, authors, and publishers collections. It demonstrates querying, updating, paging through results and linking related data between collections. Official MongoDB drivers for various languages are also briefly mentioned.
This document provides an introduction and overview of MongoDB. It discusses how MongoDB is a document-oriented database that is open source, high performance, and horizontally scalable. It provides examples of using MongoDB with the mongo shell to create, query, update and index data. Key points covered include how MongoDB uses documents rather than tables, how data can be embedded or referenced between collections, and how to perform queries, sorting, pagination and more. Official drivers are available for connecting applications to MongoDB databases from many programming languages.
Building Your First App: An Introduction to MongoDBGreat Wide Open
Robert Stam gave an introduction to MongoDB and building the first app. He discussed that MongoDB is a document database that uses JSON-like documents with dynamic schemas, horizontal scaling, and high performance. He then demonstrated creating a basic library management application in MongoDB by defining entities as collections, inserting sample data, and performing queries.
This document provides an introduction to MongoDB and building a sample library management application using MongoDB. It discusses key MongoDB concepts like using documents and collections instead of tables and rows, embedding documents, indexing, and querying. Examples are given of inserting, updating, and querying book and author documents to model the library application. The document emphasizes that MongoDB allows flexible schema evolution and complex queries on nested and array data.
This talk introduces the features of MongoDB by demonstrating how one can build a simple library application. The talk will cover the basics of MongoDB\'s document model, query language, and API.
This talk introduces the features of MongoDB by demonstrating how one can build a simple library application. The talk will cover the basics of MongoDB's document model, query language, and API.
This document provides an introduction to MongoDB and how to build a basic application using MongoDB. It discusses key MongoDB concepts like documents, collections, querying, indexing and references. It walks through creating collections for users, books, authors and publishers and inserting sample documents. It demonstrates basic CRUD operations and querying. The document suggests starting simply and letting the schema evolve as the application is built.
Building Your First App: An Introduction to MongoDBMongoDB
This document provides an introduction to MongoDB and demonstrates how to build a simple library management application using MongoDB. It discusses key MongoDB concepts like documents, collections, embedded documents, and references. It shows how to insert, query, update, and index data without needing to pre-define schemas. The document builds out a sample library application data model with books, authors, and publishers collections. It demonstrates querying, updating, paging through results and linking related data between collections. Official MongoDB drivers for various languages are also briefly mentioned.
This document provides an introduction and overview of MongoDB. It discusses how MongoDB is a document-oriented database that is open source, high performance, and horizontally scalable. It provides examples of using MongoDB with the mongo shell to create, query, update and index data. Key points covered include how MongoDB uses documents rather than tables, how data can be embedded or referenced between collections, and how to perform queries, sorting, pagination and more. Official drivers are available for connecting applications to MongoDB databases from many programming languages.
Building Your First App: An Introduction to MongoDBGreat Wide Open
Robert Stam gave an introduction to MongoDB and building the first app. He discussed that MongoDB is a document database that uses JSON-like documents with dynamic schemas, horizontal scaling, and high performance. He then demonstrated creating a basic library management application in MongoDB by defining entities as collections, inserting sample data, and performing queries.
This document provides an introduction to MongoDB and building a sample library management application using MongoDB. It discusses key MongoDB concepts like using documents and collections instead of tables and rows, embedding documents, indexing, and querying. Examples are given of inserting, updating, and querying book and author documents to model the library application. The document emphasizes that MongoDB allows flexible schema evolution and complex queries on nested and array data.
This talk introduces the features of MongoDB by demonstrating how one can build a simple library application. The talk will cover the basics of MongoDB\'s document model, query language, and API.
This talk introduces the features of MongoDB by demonstrating how one can build a simple library application. The talk will cover the basics of MongoDB's document model, query language, and API.
Building Your First App: An Introduction to MongoDBMongoDB
This document provides an introduction to MongoDB presented by Brandon Black. It describes MongoDB as a document database that is open source, high performance, and horizontally scalable. It stores data in flexible, JSON-like documents, rather than fixed schema tables. The document explains some key MongoDB concepts like documents, collections, indexing, queries and updating records. Examples are provided of creating sample data for a library application to demonstrate MongoDB's interactive and evolving schema.
Building Your First App: An Introduction to MongoDBMongoDB
This document provides an introduction to building a first application using MongoDB. It discusses key MongoDB concepts like using documents rather than tables, horizontal scalability, and flexible schemas. It then demonstrates common operations like inserting, querying, updating and indexing data using the MongoDB shell. Examples show creating collections for users, books, authors and related data for a library application and performing CRUD operations on the data.
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The document discusses schema design basics for MongoDB, including terms, considerations for schema design, and examples of modeling different types of data structures like trees, single table inheritance, and many-to-many relationships. It provides examples of creating indexes, evolving schemas, and performing queries and updates. Key topics covered include embedding data versus normalization, indexing, and techniques for modeling one-to-many and many-to-many relationships.
10gen Presents Schema Design and Data ModelingDATAVERSITY
This document provides an overview of schema design in MongoDB. It discusses topics such as:
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- Key terminology when comparing MongoDB to relational databases, such as using collections instead of tables and embedding/linking instead of joins.
- Examples of basic collections, documents, indexing, and query operators.
- Common schema patterns for MongoDB like embedding, normalization, inheritance, one-to-many, many-to-many, and trees.
- Use cases like time series are also briefly covered.
Building Your First Application with MongoDBMongoDB
- MongoDB is a document database where documents (equivalent to JSON objects) are stored in collections rather than rows in tables.
- It is horizontally scalable, supports rich queries, and works with many programming languages through official drivers.
- To build a simple blog application, documents like users, posts, and comments can be directly inserted into their respective collections without needing to define a schema first. Properties like embedded documents and arrays allow flexible modeling of relationships.
This talk I gave at the NoSQL matters 2013. It quickly introduces BASE transactions and then illustrates the challenges a developer encounters when switching from ACID to BASE using a (very) simple example application.
First the ACID variant is shown. Then a naive BASE transformation is done. After that the typical problems with that approach are shown one by one a how to handle them on a conceptual and code level.
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In this session, Buzz Moschetti explores how you can take advantage of MongoDB's document model to build modern applications.
MongoDB is a document database that stores data in JSON-like documents. The speaker discusses building a simple blogging application with MongoDB to demonstrate how to define entities, insert and query documents, and embed and reference data between collections. Key features of MongoDB mentioned include flexible schemas, rich queries, and support for many programming languages.
This document discusses schema design in MongoDB. It covers topics like working with documents, evolving schemas, queries and indexes. It provides examples of modeling common patterns like inheritance, one-to-many and many-to-many relationships, and trees. It discusses embedding data versus referencing it in different collections and considerations for schema design like access patterns and data size.
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MongoDB is an open source NoSQL database that uses JSON-like documents with dynamic schemas (BSON format) instead of using tables as in SQL. It allows for embedding related data and flexible querying of this embedded data. Some key features include using JavaScript-style documents, scaling horizontally on commodity hardware, and supporting various languages through its driver interface.
Christian Kvalheim gave an introduction to NoSQL and MongoDB. Some key points:
1) MongoDB is a scalable, high-performance, open source NoSQL database that uses a document-oriented model.
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3) Documents are stored in JSON-like records which can contain various data types including nested objects and arrays.
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3. Indexing: Speed up your queries with MongoDB
4. MapReduce: Data aggregation with MongoDB
5. Aggregation Framework: Data aggregation done the MongoDB way
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3. MongoDB is a ___________
database
• Document
• Open source
• High performance
• Horizontally scalable
• Full featured
4. Document Database
• Not for .PDF & .DOC files
• A document is essentially an associative array
• Document == JSON object
• Document == PHPArray
• Document == Python Dictionary
• Document == Ruby Hash
• etc
5. Open Source
• MongoDB is an open source project
• On GitHub
• Licensed under the AGPL
• Commercial licenses available
• Started & sponsored by 10gen
• Contributions welcome
6. High Performance
• Written in C++
• Extensive use of memory-mapped files
i.e. read-through write-through memory caching.
• Runs nearly everywhere
• Data serialized as BSON (fast parsing)
• Full support for primary & secondary indexes
• Document model = less work
8. Full Featured
• Ad Hoc queries
• Real time aggregation
• Rich query capabilities
• Traditionally consistent
• Geospatial features
• Support for most programming languages
• Flexible schema
19. In a relational based app
We would start by doing
schema design
20. Relational schema design
• Large ERD Diagrams
• Complex create table statements
• ORMs to map tables to objects
• Tables just to join tables together
• For this simple app we'd have 5 tables and 5 join
tables
• Lots of revisions until we get it just right
21. In a MongoDB based app
We start building our
app
and let the schema evolve
27. > db.users.findOne()
{
"_id" : ObjectId("50804d0bd94ccab2da652599"),
"username" : "fred.jones",
"first_name" : "fred",
"last_name" : "jones"
}
Querying for the user
28. _id
• _id is the primary key in MongoDB
• Automatically indexed
• Automatically created as an ObjectId if not
provided
• Any unique immutable value could be used
29. ObjectId
• ObjectId is a special 12 byte value
• Guaranteed to be unique across your cluster
• ObjectId("50804d0bd94ccab2da652599")
|-------------||---------||-----||----------|
ts mac pid inc
30. > db.author.insert({
first_name: 'j.r.r.',
last_name: 'tolkien',
bio: 'J.R.R. Tolkien (1892.1973), beloved throughout the
world as the creator of The Hobbit and The Lord of the Rings, was a
professor of Anglo-Saxon at Oxford, a fellow of Pembroke College,
and a fellow of Merton College until his retirement in 1959. His chief
interest was the linguistic aspects of the early English written
tradition, but even as he studied these classics he was creating a
set of his own.'
})
Creating an author
31. > db.author.findOne( { last_name : 'tolkien' } )
{
"_id" : ObjectId("507ffbb1d94ccab2da652597"),
"first_name" : "j.r.r.",
"last_name" : "tolkien",
"bio" : "J.R.R. Tolkien (1892.1973), beloved throughout the world
as the creator of The Hobbit and The Lord of the Rings, was a
professor of Anglo-Saxon at Oxford, a fellow of Pembroke College,
and a fellow of Merton College until his retirement in 1959. His chief
interest was the linguistic aspects of the early English written
tradition, but even as he studied these classics he was creating a
set of his own."
}
Querying for our author
32. > db.books.insert({
title: 'fellowship of the ring, the',
author: ObjectId("507ffbb1d94ccab2da652597"),
language: 'english',
genre: ['fantasy', 'adventure'],
publication: {
name: 'george allen & unwin',
location: 'London',
date: new Date('21 July 1954'),
}
})
Creating a Book
http://society6.com/PastaSoup/The-Fellowship-of-the-Ring-ZZc_Print/
34. > db.books.findOne({genre: 'fantasy'}, {title: 1})
{
"_id" : ObjectId("50804391d94ccab2da652598"),
"title" : "fellowship of the ring, the"
}
Querying for key with
multiple values
Query key with single value or
multiple values the same way.
36. > db.books.findOne(
{'publication.date' :
{ $lt : new Date('21 June 1960')}
}
)
{
"_id" : ObjectId("50804391d94ccab2da652598"),
"title" : "fellowship of the ring, the",
"author" : ObjectId("507ffbb1d94ccab2da652597"),
"language" : "english",
"genre" : [ "fantasy", "adventure" ],
"publication" : {
"name" : "george allen & unwin",
"location" : "London",
"date" : ISODate("1954-07-21T04:00:00Z")
}
}
Reach into nested values
using dot notation
37. > db.books.update(
{"_id" : ObjectId("50804391d94ccab2da652598")},
{ $set : {
isbn: '0547928211',
pages: 432
}
})
Update books
True agile development.
Simply change how you work with
the data and the database follows
38. db.books.findOne()
{
"_id" : ObjectId("50804ec7d94ccab2da65259a"),
"author" : ObjectId("507ffbb1d94ccab2da652597"),
"genre" : [ "fantasy", "adventure" ],
"isbn" : "0395082544",
"language" : "english",
"pages" : 432,
"publication" : {
"name" : "george allen & unwin",
"location" : "London",
"date" : ISODate("1954-07-21T04:00:00Z")
},
"title" : "fellowship of the ring, the"
}
The Updated Book record
41. > db.books.insert({
title: 'two towers, the',
author: ObjectId("507ffbb1d94ccab2da652597"),
language: 'english',
isbn : "034523510X",
genre: ['fantasy', 'adventure'],
pages: 447,
publication: {
name: 'george allen & unwin',
location: 'London',
date: new Date('11 Nov 1954'),
}
})
Adding a few more books
http://society6.com/PastaSoup/The-Two-Towers-XTr_Print/
42. > db.books.insert({
title: 'return of the king, the',
author: ObjectId("507ffbb1d94ccab2da652597"),
language: 'english',
isbn : "0345248295",
genre: ['fantasy', 'adventure'],
pages: 544,
publication: {
name: 'george allen & unwin',
location: 'London',
date: new Date('20 Oct 1955'),
}
})
Adding a few more books
http://society6.com/PastaSoup/The-Return-of-the-King-Jsc_Print/
45. > book = db.books.findOne(
{"title" : "return of the king, the"})
> db.author.findOne({_id: book.author})
{
"_id" : ObjectId("507ffbb1d94ccab2da652597"),
"first_name" : "j.r.r.",
"last_name" : "tolkien",
"bio" : "J.R.R. Tolkien (1892.1973), beloved throughout the world as
the creator of The Hobbit and The Lord of the Rings, was a professor of
Anglo-Saxon at Oxford, a fellow of Pembroke College, and a fellow of
Merton College until his retirement in 1959. His chief interest was the
linguistic aspects of the early English written tradition, but even as he
studied these classics he was creating a set of his own."
}
Finding author by book
51. MongoDB drivers
• Official Support for 12 languages
• Community drivers for tons more
• Drivers connect to mongo servers
• Drivers translate BSON into native types
• mongo shell is not a driver, but works like one in
some ways
• Installed using typical means (npm, pecl, gem,
pip)