Book Image

Graph Data Processing with Cypher

By : Ravindranatha Anthapu
Book Image

Graph Data Processing with Cypher

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)
1
Part 1: Cypher Introduction
4
Part 2: Working with Cypher
9
Part 3: Advanced Cypher Concepts

List Expressions, UNION, and Subqueries

We have looked at filtering and sorting in Cypher queries in earlier chapters. In this chapter, we will take a look at more advanced options for querying.

We will cover the following topics:

  • Working with list expressions
  • Working with UNION in Cypher
  • Working with subqueries

List expressions provide a powerful paradigm to manipulate list results in Cypher. UNION queries provide the means to combine the results of distinct queries and return data. Subqueries provide a powerful option for executing a query inside another query and using the results in the main query.

Now, let us take a look at list expressions.