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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 Lists and Maps

We have worked with lists and maps in earlier chapters in various queries. But we have not discussed how lists and maps can make Cypher queries more powerful. They are first-class types in Cypher, like string and integer, and can make it easy to build complex queries. This chapter discusses how we can handle both lists and maps as input and output. We will discuss how we can prepare lists from data, iterate lists to process data, handle nested maps, and return map projections.

The following aspects will be covered in this chapter:

  • Working with lists
  • Working with maps

We will be covering lists first. We will discuss in detail how lists work in Cypher and explore various ways we can manipulate and work with lists, both as input and output. We will also look at different types of lists and the functions available to work with them.

Let’s get onto working with lists.

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