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Hands-On Graph Analytics with Neo4j

You're reading from  Hands-On Graph Analytics with Neo4j

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Pages 510 pages
Edition 1st Edition
Languages
Author (1):
Estelle Scifo Estelle Scifo
Profile icon Estelle Scifo
Toc

Table of Contents (18) Chapters close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy

Measuring performance and tuning your query for speed

In order to measure a Cypher query performance, we will have to look at the Cypher query planner, which details the operations performed under the hood. In this section, we introduce the notions to learn how to access the Cypher execution plan. We will also deal with some good practices to avoid the worst operations in terms of performance, before concluding with a well-known example.

Cypher query planner

As you would do with SQL, you can check the Cypher query planner to understand what happens under the hood and how to improve your query. Two options are possible:

  • EXPLAIN: If you do not want the query to be run, EXPLAIN won't make any changes to your graph.
  • PROFILE: This will actually run the query and alter your graph, together with measuring performance.

In the rest of this chapter, we will use a dataset released by Facebook in 2012 for a recruiting competition hosted by Kaggle. The dataset can be downloaded here: https...

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