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Graph Data Processing with Cypher

You're reading from   Graph Data Processing with Cypher A practical guide to building graph traversal queries using the Cypher syntax on Neo4j

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804611074
Length 332 pages
Edition 1st Edition
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Ravindranatha Anthapu Ravindranatha Anthapu
Author Profile Icon Ravindranatha Anthapu
Ravindranatha Anthapu
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Cypher Introduction
2. Chapter 1: Introduction to Neo4j and Cypher FREE CHAPTER 3. Chapter 2: Components of Cypher 4. Part 2: Working with Cypher
5. Chapter 3: Loading Data with Cypher 6. Chapter 4: Querying Graph 7. Chapter 5: Filtering, Sorting, and Aggregations 8. Chapter 6: List Expressions, UNION, and Subqueries 9. Part 3: Advanced Cypher Concepts
10. Chapter 7: Working with Lists and Maps 11. Chapter 8: Advanced Query Patterns 12. Chapter 9: Query Tuning 13. Chapter 10: Using APOC Utilities 14. Chapter 11: Cypher Ecosystem 15. Chapter 12: Tips and Tricks 16. Index 17. Other Books You May Enjoy

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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