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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

Connecting to other databases

APOC provides ways to integrate with various databases to read or modify data. We will take a look at each of these methods to see how we can interact with other databases from Cypher:

  • JDBC: To connect to JDBC-compliant data using a JDBC driver, we need to make sure to add the required JARs to the plugins directory. Once you have added the JARs to the plugins directory, restart the server instance.

To make sure the jdbc driver is loaded, we need to execute the load driver method first as shown here:

CALL apoc.load.driver("com.mysql.test.Driver")

Once the driver is loaded, we can query the data using the load.jdbc method. We will take a look at an example query here:

WITH "jdbc:mysql://localhost:3306/mydb?user=root" as url
CALL apoc.load.jdbc(url,"person") YIELD row
RETURN row

This query returns each row as a map from the person table in the mydb database. You can take this row and add it to a graph...

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