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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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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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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

Reasons for not migrating using a single query


Evolution is a constant in the software industry. Most of the times migrations are done, the database and code changes are simultaneous and all of this is deployed in a big bang release. An example of a big bang release in our case would be to make the constraint, make data changes, and delete the relationships in one go. This change will need the code to be deployed along with the changes to the database so that the applications keep running. There are multiple downsides to this approach:

  • If something goes wrong at the database end, there might be an outage. A rollback of code will be required along with restoring the database to an earlier state.

  • This is more time consuming since it will require a lot more testing and preparation than smaller increments, which can be leak proofed.

If we separate the migration into two steps—constraint and path creation, and relationship removal—we gain the following advantages:

  • Since constraint and path creation...

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