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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

Working with the WITH clause

In Cypher, the WITH clause allows individual queries to be chained together by streaming the results from the first part of the query to the next part of the query. It allows you to manipulate the query result before it is passed on to the next part of the query.

We will take a look at different ways in which we can work with the WITH clause. We will start by introducing the variables at the beginning of the Cypher query.

Introducing variables at the start

When a query starts with the WITH clause, we need to introduce the variables for the next part of the query.

Let’s look at an example:

WITH range(1,5,1) as list
RETURN list

In this query, we are introducing a variable called list and returning it.

The following screenshot shows how to prepare a new variable using the WITH clause and return values based on that variable.

Figure 8.1 – Basic WITH usage introducing a new variable at the start

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