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MongoDB in Action [Pehme köide]

4.02/5 (175 hinnangut Goodreads-ist)

Kyle Banker, Tim Hawkins, Peter Bakkum

Formaat: Paperback / softback, 375 pages, kõrgus x laius x paksus: 235x190x26 mm, kaal: 810 g
Ilmumisaeg: 07-Apr-2016
Kirjastus: Manning Publications
ISBN-10: 1617291609
ISBN-13: 9781617291609

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Database software

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Formaat: Paperback / softback, 375 pages, kõrgus x laius x paksus: 235x190x26 mm, kaal: 810 g
Ilmumisaeg: 07-Apr-2016
Kirjastus: Manning Publications
ISBN-10: 1617291609
ISBN-13: 9781617291609

Teised raamatud teemal:

Database software

Püsilink: https://www.kriso.ee/db/9781617291609.html

Märksõnad:

Application developers love MongoDB, a document-oriented NoSQL database, for its speed, flexibility, scalability, and ease of use. MongoDB is well-suited as a back-end for modern web applications. Its schema-free design encourages rapid application development, and built-in replication and auto-sharding architecture allow for massive parallel distribution. Production deployments at SourceForge, Foursquare, and Shutterfly demonstrate daily that MongoDB is up to real-world challenges.

MongoDB in Action, Second Edition is a comprehensive guide to MongoDB version 2.6. It begins with a general overview of current database systems, explaining what makes MongoDB unique and describing its ideal use cases. Then, a series of tutorials lead into detailed examples for leveraging MongoDB in e-commerce, social networking, and other common applications. A reference section on schema design patterns helps ease the transition from the relational data model of SQL to MongoDB's document-based data model.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

Preface

xvii

Acknowledgments

xix

About this book

xxi

About the cover illustration

xxiv

PART 1 GETTING STARTED

(70)

1 A database for the modern web

(26)

1.1 Built for the internet

(1)

1.2 MongoDB's key features

(9)

Document data model

(4)

Ad hoc queries

(1)

Indexes

(1)

Replication

(1)

Speed and durability

(2)

Scaling

(1)

1.3 MongoDB's core server and tools

(3)

Core server

(1)

JavaScript shell

(1)

Database drivers

(1)

Command-line tools

(1)

1.4 Why MongoDB?

(6)

MongoDB versus other databases

(3)

Use cases and production deployments

(2)

1.5 Tips and limitations

(1)

1.6 History of MongoDB

(2)

1.7 Additional resources

(1)

1.8 Summary

(1)

2 MongoDB through the JavaScript shell

(23)

2.1 Diving into the MongoDB shell

(9)

Starting the shell

(1)

Databases, collections, and documents

(1)

Inserts and queries

(2)

Updating documents

(4)

Deleting data

(1)

Other shell features

(1)

2.2 Creating and querying with indexes

(7)

Creating a large collection

(2)

Indexing and explain( )

(5)

2.3 Basic administration

(3)

Getting database information

(2)

How commands work

(1)

2.4 Getting help

(2)

2.5 Summary

(1)

3 Writing programs using MongoDB

(19)

3.1 MongoDB through the Ruby lens

(6)

Installing and connecting

(2)

Inserting documents in Ruby

(1)

Queries and cursors

(1)

Updates and deletes

(1)

Database commands

(1)

3.2 How the drivers work

(2)

Object ID generation

(2)

3.3 Building a simple application

(8)

Setting up

(1)

Gathering data

(3)

Viewing the archive

(4)

3.4 Summary

(2)

PART 2 APPLICATION DEVELOPMENT IN MONGODB

(124)

4 Document-oriented data

(25)

4.1 Principles of schema design

(1)

4.2 Designing an e-commerce data model

(9)

Schema basics

(4)

Users and orders

(3)

Reviews

(1)

4.3 Nuts and bolts: On databases, collections, and documents

(12)

Databases

(3)

Collections

(5)

Documents and insertion

(4)

4.4 Summary

(2)

5 Constructing queries

(22)

5.1 E-commerce queries

(4)

Products, categories, and reviews

(2)

Users and orders

101

(2)

5.2 MongoDB's query language

103

(16)

Query criteria and selectors

103

(14)

Query options

117

(2)

5.3 Summary

119

(1)

6 Aggregation

120

(37)

6.1 Aggregation framework overview

121

(2)

6.2 E-commerce aggregation example

123

(12)

Products, categories, and reviews

125

(7)

User and order

132

(3)

6.3 Aggregation pipeline operators

135

(5)

$project

136

(1)

$group

136

(2)

$match, $sort, $skip, $limit

138

(1)

$unwind

139

(1)

$out

139

(1)

6.4 Reshaping documents

140

(6)

String functions

141

(1)

Arithmetic functions

142

(1)

Date functions

142

(1)

Logical functions

143

(1)

Set Operators

144

(1)

Miscellaneous functions

145

(1)

6.5 Understanding aggregation pipeline performance

146

(6)

Aggregation pipeline options

147

(1)

The aggregation framework's explain( ) function

147

(4)

allowDiskUse option

151

(1)

Aggregation cursor option

151

(1)

6.6 Other aggregation capabilities

152

(4)

.count( ) and distinct( )

153

(1)

map-reduce

153

(3)

6.7 Summary

156

(1)

7 Updates, atomic operations, and deletes

157

(38)

7.1 A brief tour of document updates

158

(4)

Modify by replacement

159

(1)

Modify by operator

159

(1)

Both methods compared

160

(1)

Deciding: replacement vs. operators

160

(2)

7.2 E-commerce updates

162

(9)

Products and categories

162

(5)

Reviews

167

(1)

Orders

168

(3)

7.3 Atomic document processing

171

(8)

Order state transitions

172

(2)

Inventory management

174

(5)

7.4 Nuts and bolts: MongoDB updates and deletes

179

(13)

Update types and options

179

(2)

Update operators

181

(7)

The findAndModify command

188

(1)

Deletes

189

(1)

Concurrency, atomicity, and isolation

190

(1)

Update performance notes

191

(1)

7.5 Reviewing update operators

192

(1)

7.6 Summary

193

(2)

PART 3 MONGODB MASTERY

195

(216)

8 Indexing and query optimization

197

(47)

8.1 Indexing theory

198

(9)

A thought experiment

198

(3)

Core indexing concepts

201

(4)

B-trees

205

(2)

8.2 Indexing in practice

207

(9)

Index types

207

(4)

Index administration

211

(5)

8.3 Query optimization

216

(27)

Identifying slow queries

217

(4)

Examining slow queries

221

(20)

Query patterns

241

(2)

8.4 Summary

243

(1)

9 Text search

244

(29)

9.1 Text searches---not just pattern matching

245

(8)

Text searches vs. pattern matching

246

(1)

Text searches vs. web page searches

247

(3)

MongoDB text search vs. dedicated text search engines

250

(3)

9.2 Manning book catalog data download

253

(2)

9.3 Defining text search indexes

255

(2)

Text index size

255

(1)

Assigning an index name and indexing all text fields in a collection

256

(1)

9.4 Basic text search

257

(6)

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