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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

Summary

In this chapter, we have learned about using list expressions, UNION queries, and subqueries. We worked with multiple functions to process lists, using the reduce function to calculate a single value by iterating through a list, using list comprehensions to manipulate lists, combining list comprehensions and the reduce function with filter expressions to calculate a single value, using UNION to combine the results of multiple queries, using UNION ALL to keep the duplicates from multiple queries, using subqueries to apply to filters and for sorting UNION queries, using subqueries to perform isolated updates, and finally using the IN TRANSACTIONS clause, along with subqueries, to perform batch updates in separate transactions.

In the next chapter, we will take a deeper look at how lists and maps form the core of Cypher data types, and how these data types can make working with data much easier.

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