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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

Troubleshooting a few common issues

When you are troubleshooting, logs are your friends. You must take a look at query log and debug log files to identify any issues. Please note that query logs are not available in Community Edition of Neo4j. If you are using Neo4j Desktop to create a database and test it, then you are using a single-user enterprise license, so you will have access to query logs. We will take a look at what information we have to troubleshoot issues and how we can fix them here:

  • A debug log tells you a lot about how memory is being used. Look out for JVM garbage collection (GC) pauses. If there are few GC pauses and they are smaller than 100 ms, then there should not be any issues. If there are lot of GC pauses and they are going above 100 ms, then the queries are using lot of heap. This could be due to a bad query, no indexes, or a query collecting a lot of data.
  • Query logs tell you how much time a query is taking. If you enable time tracking using dbms...

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