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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
Languages
Tools
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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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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Neo4j 2. Connecting to Neo4j FREE CHAPTER 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

Importing data using the REST API


The recipes that you have learned until now consist of Java code, which is used to import spatial data into Neo4j. However, by using any other programming language, such as Python or Ruby, spatial data can be easily imported into Neo4j using the REST interface.

In this recipe, you will learn how to import geospatial data using the REST interface.

Getting ready

Perform the following steps to get started with this recipe:

  1. Install Neo4j using the recipes from Chapter 1, Getting Started with Neo4j. This installation process will depend on your preference for your machine OS type.

  2. Install the Neo4j Spatial plugin using the Installing the Neo4j Spatial extension, recipe from this chapter.

  3. Restart the Neo4j graph database server:

    $NEO4J_ROOT_DIR/bin/neo4j restart
    

How to do it...

Using the REST API interface is a very simple three-stage process to import the geospatial data into the Neo4j graph database server. For the sake of simplicity, the code of the Python language...

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