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Graph Data Processing with Cypher

You're reading from  Graph Data Processing with Cypher

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781804611074
Pages 332 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Ravindranatha Anthapu Ravindranatha Anthapu
Profile icon Ravindranatha Anthapu

Table of Contents (18) Chapters

Preface 1. Part 1: Cypher Introduction
2. Chapter 1: Introduction to Neo4j and Cypher 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

Executing dynamic Cypher

Cypher does not allow dynamic query execution. If you are getting a value in the data that you want to use as a label on the node, or you need to create a relationship with that name, that is not easy to do in Cypher. It is possible to use the FOREACH trick to check for the value and make the code deterministic, but this is not a practicable solution if the number of combinations is more than five, for example. In these scenarios, APOC procedures can help us to either to build a string and execute it or add or create nodes and relationships with dynamic values:

  1. First, we will take a look at how to add a new label to a node using a dynamic value:
    WITH {label: "MyTest", id:10 , name: 'Another'} as data
    MERGE(p:Person {id:data.id})
    SET p.name=data.name
    WITH data, p
    CALL apoc.create.addLabels([p], [data.label])
    YIELD node
    RETURN node
  2. This query creates a Person node with the data and appends the label from the input data using the apoc...
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