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Learning Cypher

You're reading from   Learning Cypher Write powerful and efficient queries for Neo4j with Cypher, its official query language

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Product type Paperback
Published in May 2014
Publisher
ISBN-13 9781783287758
Length 162 pages
Edition Edition
Concepts
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Author (1):
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Onofrio Panzarino Onofrio Panzarino
Author Profile Icon Onofrio Panzarino
Onofrio Panzarino
Onofrio Panzarino is a programmer with 15 years experience working with various languages (mostly with Java), platforms, and technologies. Before obtaining his Master of Science degree in Electronics Engineering, he worked as a digital signal processor programmer. Around the same time, he started working as a C++ developer for embedded systems and PCs. Currently, he is working with Android, ASP.NET or C#, and JavaScript for Wolters Kluwer Italia. During these years, he gained a lot of experience with graph databases, particularly with Neo4j.Onofrio resides in Ancona, Italy. His Twitter handle is (@onof80). He is a speaker in the local Java user group and also a technical writer, mostly for Scala and NoSQL. In his spare time, he loves playing the piano with his family and programming with functional languages.
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Table of Contents (13) Chapters Close

Learning Cypher
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Querying Neo4j Effectively with Pattern Matching 2. Filter, Aggregate, and Combine Results FREE CHAPTER 3. Manipulating the Database 4. Improving Performance 5. Migrating from SQL Operators and Functions Index

Chapter 4. Improving Performance

Using Neo4j has several advantages, including a very natural model that allows you to easily express complex schemas with a lot of relations as well as Atomicity, Consistency, Isolation, and Durability (ACID) transactions. It gives a great performance compared to relational databases.

Performance is a key feature in some scenarios and drives developers and architects to choose Neo4j. In this chapter, you will learn about:

  • Several performance issues that you face while using Cypher and some possible solutions

  • How to profile a Cypher query to estimate its computational cost and its cost in terms of number of times I/O is accessed

  • How to use the schema to preserve the integrity of the database and take advantage of it to improve performance

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Authors (1)

Profile icon Onofrio Panzarino
Onofrio Panzarino
Onofrio Panzarino is a programmer with 15 years experience working with various languages (mostly with Java), platforms, and technologies. Before obtaining his Master of Science degree in Electronics Engineering, he worked as a digital signal processor programmer. Around the same time, he started working as a C++ developer for embedded systems and PCs. Currently, he is working with Android, ASP.NET or C#, and JavaScript for Wolters Kluwer Italia. During these years, he gained a lot of experience with graph databases, particularly with Neo4j.Onofrio resides in Ancona, Italy. His Twitter handle is (@onof80). He is a speaker in the local Java user group and also a technical writer, mostly for Scala and NoSQL. In his spare time, he loves playing the piano with his family and programming with functional languages.
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See other products by Onofrio Panzarino
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