GraphDatabases英文

Databases

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Table of Contents

Part I. GDB Book

1. Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

What is a Graph? 5

Making the Connection to NOSQL 7

The NOSQL Phenomenon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

The Rise of NOSQL 9

ACID Versus BASE 11

The NOSQL Quadrants 12

Document Stores 13

Key-Value Stores 16

Column Stores 19

Query Versus Processing in Aggregate Stores 23

Moving Onwards and Upwards 24

Graphs and Connected Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

The Aggregate Model: Lacking Relationships 25

The Relational Model: Also Lacking Relationships 29

Connected Data and Graph Databases 32

Schema-Free Development and Pain-Free Migrations 38

Connecting the Dots 39

Working with Graph Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41

Models and Goals 41

Relational Modeling in a Systems Management Domain 42

Modeling for relational data 44

The Property Graph Model 48

The Cypher Query Language 51

iii

Cypher Philosophy 52

Creating Graphs 53

Beginning a Query 55

Declaring information patterns to find 56

Constraining Matches 57

Processing Results 58

Query Chaining 58

Graph Modeling in a Systems Management Domain 59

Testing the model 62

Common Modeling Pitfalls 63

Email Provenance Problem Domain 63

A Sensible First Iteration? 64

Second Time’s the Charm 66

Evolving the Domain 69

Avoiding Anti-Patterns 74

Summary 74

5. Graph Databases. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75

Graph databases: a definition 75

Hypergraphs 75

Triples 77

Graph-Native Stores 79

Architecture 81

Neo4j Programmatic APIs 88

Kernel API 89

Core (or “Beans”) API 90

Neo4j Traversal API 91

Non-Functional Characteristics 92

Transactions 92

Recoverability 93

Availability 94

Scale 96

Graph Compute Platforms 99

Summary 104

Working with a Graph Database. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105

Data Modeling 105

Describe the Model in Terms of Your Application’s Needs 105

Nodes for Things, Relationships for Structure 107

Model Facts as Nodes 107

Represent Complex Value Types as Nodes 109

Time 110

iv | Table of Contents

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