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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

Advanced Query Patterns

In the last chapter, we looked at working with lists and maps. In this chapter, we will explore some advanced query patterns using Cypher clauses. We will discuss query chaining using the WITH clause, iterate lists to modify the graph using the FOREACH and UNWIND clauses, and leverage count stores for building optimal queries. We will also take a look at simulating if condition using the FOREACH clause. We will take a deeper look at these clauses and discuss how they can help us in building more advanced and complex queries.

In this chapter, we will be covering the following aspects:

  • Working with the WITH clause
  • Working with the CASE clause
  • Working with the FOREACH clause
  • Working with the UNWIND clause
  • Working with count stores

First, we will start by exploring the WITH clause. This is a very powerful paradigm that helps us build complex and performant queries with ease.

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