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Graph Data Processing with Cypher

You're reading from   Graph Data Processing with Cypher A practical guide to building graph traversal queries using the Cypher syntax on Neo4j

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804611074
Length 332 pages
Edition 1st Edition
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Author (1):
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Ravindranatha Anthapu Ravindranatha Anthapu
Author Profile Icon Ravindranatha Anthapu
Ravindranatha Anthapu
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Cypher Introduction
2. Chapter 1: Introduction to Neo4j and Cypher FREE CHAPTER 3. Chapter 2: Components of Cypher 4. Part 2: Working with Cypher
5. Chapter 3: Loading Data with Cypher 6. Chapter 4: Querying Graph 7. Chapter 5: Filtering, Sorting, and Aggregations 8. Chapter 6: List Expressions, UNION, and Subqueries 9. Part 3: Advanced Cypher Concepts
10. Chapter 7: Working with Lists and Maps 11. Chapter 8: Advanced Query Patterns 12. Chapter 9: Query Tuning 13. Chapter 10: Using APOC Utilities 14. Chapter 11: Cypher Ecosystem 15. Chapter 12: Tips and Tricks 16. Index 17. Other Books You May Enjoy

Query Tuning

Till now, we have looked at various aspects of building Cypher queries. In this chapter, we will take a look at which options are available to profile and tune queries.

We have two options available to tune queries. The first one is the EXPLAIN clause, which takes the Cypher query and provides an estimated amount of work the database might do. It does not execute the query. The other one is the PROFILE clause. This will execute the query and gives the exact amount of work the database is doing. We will review both of these options in detail to understand how to leverage them to tune queries.

We will be taking a look at these aspects:

  • Working with EXPLAIN
  • Working with PROFILE
  • Reviewing plan operators
  • Using index hints

First, let’s take a look at how to use EXPLAIN to tune queries.

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