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Neo4j Cookbook

You're reading from   Neo4j Cookbook Harness the power of Neo4j to perform complex data analysis over the course of 75 easy-to-follow recipes

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Product type Paperback
Published in May 2015
Publisher
ISBN-13 9781783287253
Length 226 pages
Edition 1st Edition
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Author (1):
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Ankur Goel Ankur Goel
Author Profile Icon Ankur Goel
Ankur Goel
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Neo4j FREE CHAPTER 2. Connecting to Neo4j 3. The Cypher Query Language 4. Data Modeling and Leveraging with Neo4j 5. Mining the Social Treasure 6. Developing Location-based Services with Neo4j 7. Visualization of Graphs 8. Industry Usages of Neo4j 9. Neo4j Administration and Maintenance 10. Scaling Neo4j Index

Creating a binary search tree with Neo4j

One of the powerful use cases of the Neo4j graph database is to create scalable in-graph data structures, such as linked lists, trees, and so on. In this recipe, you will learn how to create a binary search tree from the Neo4j graph database.

Getting ready

Install the Neo4j graph database on the host machine using the recipe described in Chapter 1, Getting Started with Neo4j. This installation process will depend on your preference for the machine OS type.

How to do it...

By definition, a data structure should have nodes, where each node has a comparable key and an associated value. If any node satisfies the restriction that the key in any node is larger than the keys in all the nodes, then this becomes the node's left subtree. The keys that are smaller than the keys in all the nodes become the node's right subtree.

Let's create a root node and its children using the following command:

CREATE (root { name: 'ROOT',value: 10 })
CREATE...
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