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Learning Neo4j 3.x

You're reading from   Learning Neo4j 3.x Effective data modeling, performance tuning and data visualization techniques in Neo4j

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786466143
Length 316 pages
Edition 2nd Edition
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Authors (2):
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Jerome Baton Jerome Baton
Author Profile Icon Jerome Baton
Jerome Baton
Rik Van Bruggen Rik Van Bruggen
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Rik Van Bruggen
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Toc

Table of Contents (17) Chapters Close

Preface 1. Graph Theory and Databases FREE CHAPTER 2. Getting Started with Neo4j 3. Modeling Data for Neo4j 4. Getting Started with Cypher 5. Awesome Procedures on Cypher - APOC 6. Extending Cypher 7. Query Performance Tuning 8. Importing Data into Neo4j 9. Going Spatial 10. Security 11. Visualizations for Neo4j 12. Data Refactoring with Neo4j 13. Clustering 14. Use Case Example - Recommendations 15. Use Case Example - Impact Analysis and Simulation 16. Tips and Tricks

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, as 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 (it's one character shorter than SELECT).

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 passes...

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