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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

Querying the paths

A path here consists of an anchor node or starting node and traverses one or more hops in any direction from it. In the earlier section, we worked with the Patient node to showcase how to query nodes. Here, let us start from the Patient node and what it is connected to at one hop.

Our Cypher query can look as follows:

MATCH path=
   (:Patient {id:'7361ce15-cf67-ae76-88e6-bcbdca19ce0b'})-->()
RETURN path

This returns all the paths in one hop in the outgoing direction from the Patient node:

Figure 4.20 – All paths one hop from a patient

Here, we can see one Race node, one Ethnicity node, and 60 Encounter nodes. Say that we want to find out the race demographics of our patients where we can use paths to get these values. The Cypher query for it will look as follows:

MATCH (r:Race)
RETURN r.type as type, size((r)<-[:HAS_RACE]-()) as count

This query retrieves all the Race nodes and returns...

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