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Learning Neo4j

You're reading from   Learning Neo4j Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781849517164
Length 222 pages
Edition 1st Edition
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Author (1):
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Rik Van Bruggen Rik Van Bruggen
Author Profile Icon Rik Van Bruggen
Rik Van Bruggen
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Toc

Table of Contents (13) Chapters Close

Preface 1. Graphs and Graph Theory – an Introduction FREE CHAPTER 2. Graph Databases – Overview 3. Getting Started with Neo4j 4. Modeling Data for Neo4j 5. Importing Data into Neo4j 6. Use Case Example – Recommendations 7. Use Case Example – Impact Analysis and Simulation 8. Visualizations for Neo4j 9. Other Tools Related to Neo4j A. Where to Find More Information Related to Neo4j B. Getting Started with Cypher Index

Key operative words in Cypher

Like every database query language, there are a few operative words that have an important meaning in the composition of every query. It's useful for you to know these since you will be using them to compose your specific queries on your specific datasets.

Keyword

Function

Example

MATCH

This describes a pattern that the database should match. This is probably the most important piece of the query as it is a structural component that always starts your queries.

MATCH (me:Person)-[:KNOWS]->(friend)

WHERE

This filters results that are found in the match for specific criteria.

WHERE me.name = "My Name" AND me.age > 18

RETURN

This returns results. You can either return paths, nodes, relationships, or their properties—or an aggregate of the mentioned parameters. This is another structural component, as all read queries and most write queries will return some data.

RETURN me.name, collect(friend), count(*) as friends

WITH

This...

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