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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

Viewing database schema

Procedures with the apoc.meta suffix provide the functionality to inspect the metadata about graph, such as viewing the current schema or database statistics or inspecting the types. We will take a look at some important procedures:

The first one we will explore is the procedure to display the schema graph.

This displays the metadata graph that represents the schema of how nodes are related to each other:

CALL apoc.meta.graph()

In the following screenshot, we can see that the metadata graph seems very busy. This is because this representation does not understand nodes with multiple labels correctly and they are represented independently:

Figure 10.15 – Full APOC metadata graph

The nodes with the labels home, hospice, and so on are the secondary labels on the Encounter nodes.

We can have a cleaner representation using apoc.meta.subGraph. When we call this method, we can use, include, or exclude the node labels so...

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