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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

Using the Cypher syntax

Cypher is like American Standard Code for Information Interchange (ASCII) art. A simple Cypher traversal query can look like this:

(A)-[:LIKES]->(B), (B)-[:LIKES]->(C), (A)-[:LIKES]->(C)

This also can be written as follows:

(A)-[:LIKES]->(B)-[:LIKES]->(C)<-[:LIKES]-(A)

If you notice the syntax, it reads more like a simple statement. A likes B, who likes C, who is also liked by A. Nouns represent nodes and verbs represent relationships.

Cypher supports various data types, which fall into three different categories.

Property types

The following are the different property types available in Cypher:

  • Number:
    • Integer
    • Float
  • String
  • Boolean
  • Spatial:
    • Point
  • Temporal:
    • Date
    • Time
    • LocalTime
    • DateTime
    • LocalDateTime
    • Duration

Property types can have the following characteristics.

  • Can be a part of data returned by queries
  • Can be used as input parameters
  • Can be stored as properties on nodes or relationships...

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