Introducing RavenDB : the database for modern data persistence / Dejan Miličić.
Miličić, Dejan, author.
2022
QA76.9.D3
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Title
Introducing RavenDB : the database for modern data persistence / Dejan Miličić.
Author
Miličić, Dejan, author.
ISBN
9781484289198 (electronic bk.)
1484289196 (electronic bk.)
1484289188
9781484289181
DOI
https://doi.org/10.1007/978-1-4842-8919-8
Published
Berkeley, CA : Apress L. P., 2022.
Language
English
Description
1 online resource (xviii, 197 pages) : illustrations
Item Number
10.1007/978-1-4842-8919-8 doi
Call Number
QA76.9.D3
Dewey Decimal Classification
005.75/65
Summary
Simplify your first steps with the RavenDB NoSQL Document Database. This book takes a task-oriented approach by showing common problems, potential solutions, brief explanations of how those solutions work, and the mechanisms used. Based on real-world examples, the recipes in this book will show you how to solve common problems with Raven Query Language and will highlight reasons why RavenDB is a great choice for fast prototyping solutions that can sustain increasing amounts of data as your application grows. Introducing RavenDB includes code and query examples that address real-life challenges you'll encounter when using RavenDB, helping you learn the basics of the Raven Query Language more quickly and efficiently. In many cases, you'll be able to copy and paste the examples into your own code, making only minor modifications to suit your application. RavenDB supports many advanced features, such full-text search, graph queries, and timeseries; recipes in the latter portion of the book will help you understand those advanced features and how they might be applied to your own code and applications. After reading this book, you will be able to employ RavenDB's powerful features in your own projects. What You Will Learn Set up and start working with RavenDB Model your objects for persistence in a NoSQL document database Write basic and advanced queries in the Raven Query Language Index your data using map/reduce techniques Implement techniques leading to highly performant systems Efficiently aggregate data and query on those aggregations Who This Book Is For Developers accustomed to relational databases who are about to enter a world of NoSQL databases. The book is also for experienced programmers who have used other non-relational databases and want to learn RavenDB. It will also prove useful for developers who want to move away from using Object-Relational Modeling frameworks and start working with a persistence solution that can store object graphs directly.
Note
Description based upon print version of record.
Includes index.
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Access limited to authorized users.
Available in Other Form
Introducing RavenDB
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Intro
Table of Contents
About the Author
About the Technical Reviewer
Acknowledgments
Introduction
Chapter 1: Getting Started with RavenDB
A Brief History of Databases
Problems with Relational DBMS
Impedance Mismatch
Object-Relational Mappers
Normalization
Modern Web Applications
NoSQL
Origins of "NoSQL" Name
Why NoSQL?
Characteristics
Additional Advantages
Challenges
Outcome
NoSQL Database Types
Key-Value Stores (KVS)
Document Stores (DS)
Graph Databases (GD)
Wide-Column Stores (WCS)
Multi-Model Databases
RavenDB

History
Advantages of RavenDB
Extreme Performance
Fully Transactional
Auto Tuning
Safe by Default
High Availability
Topologies
How to Start?
Creating Your First Database
Seeding Sample Data
Northwind Database
Documents
Summary
Chapter 2: Document Modeling
Abstraction and Generalization
Modeling in Relational Databases
Data Encapsulation Challenge
Modeling in NoSQL Databases
JSON Documents
Properties of Well-Modeled Documents
Aggregates
Unit of Change and Unit of Consistency
Distributed Systems

Aggregates in the Distributed System
Aggregates as Transaction Boundaries
Modeling in RavenDB
Documents
Identifiers
Modeling Document Relationships
One-to-One Relationship
Embedding
Referencing
Referential Integrity in RavenDB
One-to-Many Relationship
Many-to-Many Relationship
Summary
Chapter 3: Querying
Querying in RavenDB Studio
RavenDB Query Language Basics
Filtering
Query by Nonexistent Property
Query by Non-string Properties
Filtering by Complex Properties
Filtering by Id
Cross-Collection Query
Inequality Query

Logical Operators
Range Queries
Casing
Full-Text Searching
Sorting
Paging
Advanced Querying
Projecting Results
Projecting with Object Literals
Declaring Functions in Queries
Aggregation
Handling Relationships
Accessing Related Documents
Include
Summary
Chapter 4: Indexes
Queries from the Perspective of a Database
Unbounded Queries
Paging
Filtering
Indexes
Types of Indexes
Downsides of Indexing
RavenDB's Indexing Philosophy
Summary
Chapter 5: Map Indexes
Static Indexes
Static Map Index
Static Index Analysis

Expanding Map Index
Indexing References
Stored Fields
Computed Fields
Dynamic Fields
Fanout Index
Multi-Map Index
Indexing Hierarchical Data
Summary
Chapter 6: MapReduce Indexes
Grouping
MapReduce
Aggregation
Static MapReduce Indexes
Static Versus Automatic Indexes
Moment of Initial Indexing
Aggregation Complexity
MultiMapReduce Indexes
Artificial Documents
Creating Artificial Documents
Indexing Artificial Documents
Summary
Chapter 7: Full-Text Search
Basics of Full-Text Search
Single Term
Multiple Terms

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