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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

Working with the CASE clause

The CASE clause is an expression constructed that is used to transform results. There are two different forms of CASE expression and they are as follows:

  • A simple CASE form to compare against multiple values
  • A generic CASE form to express multiple conditional expressions

We will take a look at the simple CASE expression first.

Working with simple CASE expressions

In simple CASE expressions, the expression is evaluated and compared to the WHEN clauses. The corresponding expression is then evaluated and the resulting value is returned. If no value is found, the ELSE clause expression is evaluated and the corresponding value is returned. If there is no ELSE clause, then a null value is returned.

The syntactic representation of this looks like this:

CASE test
  WHEN value THEN result
  [WHEN ...]
  [ELSE default]
END

We can see from this syntax that the first CASE expression is evaluated and its...

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