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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

What is so spatial then?


The answer is:  

Neo4j is spatial, APOC is spatial too, and of course, Neo4j Spatial is more spatial. Let me explain.

Spatial capabilities are present in these three pieces of software. Their spatialness goes from basic to advanced in that order.

However, as the last two (APOC and Neo4j Spatial) are plugins that you install in the first software (Neo4j), spatial features add up. The package names change in order to call the procedures. We will see this now.

Neo4j's spatial features 

Neo4j has a limited built-in spatial support since Neo4j 3.0. There is default support for point and distance. This support assumes that you will set property keys named latitude and longitude for the nodes you want to use as points.

You can use them to calculate the distance between two nodes, but first let's build the towers, starting with the good habit of creating a constraint:

CREATE CONSTRAINT ON (t:Tower) ASSERT t.name IS UNIQUE
CREATE (paris:Tower {name: "Eiffel Tower",country:"FRA"...
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