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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

Extracting airport information from flights


There are multiple steps involved in making the successful transition from airports being properties of flights to airports being an entity connected to the city they are located in.

To start with, let's create a constraint so that an airport can be uniquely identified by its code. The query is as follows:

neo4j-sh (?)$ CREATE CONSTRAINT ON (airport:Airport) ASSERT airport.code IS UNIQUE;

The output of the preceding query is as follows:

+-------------------+
| No data returned. |
+-------------------+
Constraints added: 1

Breaking airports out as a node

The next step is to break out the source_airport_code and destination_airport_code properties into nodes. After this change, the :HAS_FLIGHT and :FLYING_TO relationships will connect :Flight and :Airport rather than :Flight and :City, as shown:

Figure 5.3: Airports and flights—current and future models

In Figure 5.3, the relationships depicted with the dotted line exist currently. Relationships shown with...

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