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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

Loading data with LOAD CSV

LOAD CSV can be used to load the data from the following:

  • Local filesystem on a server: The files have to be in the import directory of the server. LOAD CSV cannot access random locations.
  • From a URL: It is possible to load the data from any URL that is accessible from the server.

Note

Remember that LOAD CSV is the command issued by the client to the server. If it is a URL, it should be accessible from the server, as the server will try to download the CSV content from the URL and process the next steps.

We will take a look at some LOAD CSV usage examples in this section.

When the server processes the CSV file, each row is converted into a MAP or LIST type depending on how the command is issued.

LOAD CSV without headers

When we use the LOAD CSV command without a header option, then each row is mapped as a list. The screenshot here shows how this would look:

Figure 3.2 – LOAD CSV from the browser...

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