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Graph Data Processing with Cypher

Graph Data Processing with Cypher

By : Ravindranatha Anthapu
4.7 (10)
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Graph Data Processing with Cypher

Graph Data Processing with Cypher

4.7 (10)
By: Ravindranatha Anthapu

Overview of this book

While it is easy to learn and understand the Cypher declarative language for querying graph databases, it can be very difficult to master it. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage database capabilities fully. This book fills the information gap by describing graph traversal patterns in a simple and readable way. This book provides a guided tour of Cypher from understanding the syntax, building a graph data model, and loading the data into graphs to building queries and profiling the queries for best performance. It introduces APOC utilities that can augment Cypher queries to build complex queries. You’ll also be introduced to visualization tools such as Bloom to get the most out of the graph when presenting the results to the end users. After having worked through this book, you’ll have become a seasoned Cypher query developer with a good understanding of the query language and how to use it for the best performance.
Table of Contents (18 chapters)
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1
Part 1: Cypher Introduction
4
Part 2: Working with Cypher
9
Part 3: Advanced Cypher Concepts

Reviewing querying patterns

Let’s review a few query patterns and see how a database will try to execute them to understand how to write optimal queries:

  • The following code segment shows one of the most common mistakes:
    MATCH (Mango {color: 'Yellow'}) return count(*)

We forgot to add :, even if Mango is a valid label. When we look at the query, we read it as return the count of yellow mangoes. Say we have mangoes, oranges, and apples in our cart. Since a database does not know what a mango is, it is going through all the fruits and checking for a color property, which should be Yellow, and returns the count of that. This is because when the database sees the query, it does not see the name Mango as a label.

Tip

Look for browser warnings before running the queries. Browsers are very good at highlighting these kinds of errors.

  • The following code block is another common mistake made by developers:
    MATCH (p:Patient)--(e:Encounter) RETURN p,e
  • ...

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