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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

Summary

In this chapter, we have learned about using list expressions, UNION queries, and subqueries. We worked with multiple functions to process lists, using the reduce function to calculate a single value by iterating through a list, using list comprehensions to manipulate lists, combining list comprehensions and the reduce function with filter expressions to calculate a single value, using UNION to combine the results of multiple queries, using UNION ALL to keep the duplicates from multiple queries, using subqueries to apply to filters and for sorting UNION queries, using subqueries to perform isolated updates, and finally using the IN TRANSACTIONS clause, along with subqueries, to perform batch updates in separate transactions.

In the next chapter, we will take a deeper look at how lists and maps form the core of Cypher data types, and how these data types can make working with data much easier.

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