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Neo4j Graph Data Modelling

You're reading from   Neo4j Graph Data Modelling Design efficient and flexible databases by optimizing the power of Neo4j

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781784393441
Length 138 pages
Edition 1st Edition
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Concepts
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Author (1):
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Mahesh K Lal Mahesh K Lal
Author Profile Icon Mahesh K Lal
Mahesh K Lal
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Toc

Table of Contents (11) Chapters Close

Preface 1. Graphs Are Everywhere FREE CHAPTER 2. Modeling Flights and Cities 3. Formulating an Itinerary 4. Modeling Bookings and Users 5. Refactoring the Data Model 6. Modeling Communication Chains 7. Modeling Access Control 8. Recommendations and Analysis of Historical Data 9. Wrapping Up Index

Creating an itinerary from flights and cities

We modelled cities and flights in the previous chapter. In this chapter, our primary focus will be on creating an itinerary from the graph we have. A few considerations while we are fetching the itinerary are as follows:

  • Even if there is no direct flight from city A to city B, most people are comfortable with two or less stopovers/changes of flights
  • If there is a change of flights or stopover involved, the stopover should be at least for two hours so that the travelers can change flights in spite of any unforeseen delays

Information and paths

In a graph, we discover information by traversing the nodes and relationships from some starting node or nodes. Collectively, the start node, the end node, the relationships, and intermediate nodes together consist of a path. We define the path using the node labels and relationship types. Writing queries with node labels and relationship types allows the query to be expressive.

Using Cypher to find a path

In...

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