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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

Advanced Query Patterns

In the last chapter, we looked at working with lists and maps. In this chapter, we will explore some advanced query patterns using Cypher clauses. We will discuss query chaining using the WITH clause, iterate lists to modify the graph using the FOREACH and UNWIND clauses, and leverage count stores for building optimal queries. We will also take a look at simulating if condition using the FOREACH clause. We will take a deeper look at these clauses and discuss how they can help us in building more advanced and complex queries.

In this chapter, we will be covering the following aspects:

  • Working with the WITH clause
  • Working with the CASE clause
  • Working with the FOREACH clause
  • Working with the UNWIND clause
  • Working with count stores

First, we will start by exploring the WITH clause. This is a very powerful paradigm that helps us build complex and performant queries with ease.

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