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Graph Data Processing with Cypher

You're reading from  Graph Data Processing with Cypher

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781804611074
Pages 332 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Ravindranatha Anthapu Ravindranatha Anthapu
Profile icon Ravindranatha Anthapu

Table of Contents (18) Chapters

Preface 1. Part 1: Cypher Introduction
2. Chapter 1: Introduction to Neo4j and Cypher 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

Working with EXPLAIN

The EXPLAIN clause returns a query execution plan as the database sees it. It does not actually execute the query and does not return data. It does not make any changes to the database itself. It can be used to easily identify missing indexes or query plans not using existing indexes, and so on. Also, it tells us how a query is traversing relationships to do its work.

Let’s look at a basic example of EXPLAIN usage:

EXPLAIN MATCH (d {code:'313820'})
RETURN d

This query is trying to find a node with a code property matching the provided value. Notice that we did not provide a label in the query. This is intentional to showcase how a query plan can be used to identify issues.

We can see from the following screenshot that the first step we are doing is AllNodesScan. What this means is that we are looking at the whole database to find the node we want and that we either have a mistake in the query or we are missing an index:

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