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

Reviewing the new 5.0 changes

In version 5.0, multiple changes have been made to the Cypher language. You can read about all these changes at https://neo4j.com/docs/cypher-manual/current/deprecations-additions-removals-compatibility/. We will take a look few of the changes that impact the Cypher queries.

The first important change to note is index creation. In version 5.0, the indexes are separated to represent the different types so that the indexes can be more performant. The indexing types that are available in version 5.0 are listed here:

  • Fulltext index: This is the Lucene text index
  • Lookup index: This index is for node labels and relationship types
  • Range index: This index replaces the B-tree index option and can be used with a single or multiple properties
  • Text index: This index is used on string properties
  • Point index: This index is used on point types

You can read more about the new index types at https://neo4j.com/docs/cypher-manual/current...