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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 2. Getting Started with Neo4j FREE CHAPTER 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

Rules of thumb


Here is a list of rules to help you make your queries the most performant possible.

Explain all the queries

Once written and their results verified, explain all your queries on a decent dataset to look for possible bottlenecks, as explained earlier in this chapter.

Rows

In your query plans, the row counts should decrease rapidly from top to bottom. If not, did you use enough labels? Enough indexes? Are the properties you use indexed?

Do not overconsume

Virtual resources are resources too. Do not waste CPU cycles, memory, and energy by returning more data than you need. Do not get the full nodes if you only want to use a few properties of each.

Cartesian or not?

Unless authorized, you should not do a cartesian product in your queries. You may already know this, but sometimes it happens. For example, here is one, the most obvious:

MATCH (n),(m)
RETURN n,m

Mind that the number of results is the square of the number of nodes. Recognize cartesian products by the lack of relation expressed...

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