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

Components of Cypher

Cypher is a declarative query language that makes it easy to write expressive and efficient queries to traverse, update, and administer a graph database. It provides a powerful way to express even complex graph traversals more simply so that you can concentrate on the domain aspects of your query instead of worrying about syntax.

Cypher expands upon a variety of established practices for querying. For example, the WHERE, ORDER BY, and CASE keywords are inspired by SQL syntax. Some of the list semantics are borrowed from Haskell and Python.

This chapter introduces the Cypher syntax with some examples. We will review the important aspects of the Cypher syntax and semantics in building graph traversal queries. We will discuss important keywords and the role they play in building the queries. We will take a look at the graph data model and how Cypher queries follow the data connections.

In this chapter, we will cover these aspects:

  • Graph storage in...