This is the second of a two post series on monitoring the Neo4j graph database with popular enterprise solutions such as Prometheus and Grafana. Monitoring the status and performance of connected data processes is a crucial aspect of deploying graph based applications. In Part 1 we have seen how to expose the graph database internals and custom metrics to Prometheus, where they are stored as multi-dimensional time series.It is now time to query those metrics and render results in a beautiful, integrated Grafana dashboard. This will help you establish 24/7 monitoring and alerting of your Neo4j setup so that you...
Database Monitoring is a crucial aspect of any application deployment. After all, databases manage data and sit quite down in the stack. They are robust pieces of software, but their setup and maintenance need care and attention since any problem has the potential to be disruptive to business.
There is one common performance issue our clients run into when trying their first Cypher queries on a dataset in Neo4j. When writing a query, be sure that it doesn’t match any cycles, or you can experience unpleasant surprises.Assume the following sample graph and simple query:CREATE (a:Node {name: "A"}), (b:Node {name: "B"}), (c:Node {name: "C"}), (a)-[:TO {name: "1"}]->(b), (a)-[:TO {name: "2"}]->(b), (a)-[:TO {name: "3"}]->(b), (b)-[:TO {name: "4"}]->(c)MATCH p=({name: "A"})-[*..10]-({name: "C"}) RETURN pThe query returns 9 paths, instead of 3 as you might have guessed! The additional 6 paths have length 4 with node pattern A-B-A-B-C, note the repeated nodes A...
When developing web applications with frameworks like Vue.js the best approach is to subdivide it into well-defined and reusable components for the user interface, with the business logic being encapsulated in ‘services’.In an ideal world every new feature added should follow this approach and all components and services should remain at a reasonable size, so that you can quickly glance at each file and understand what it does.The problemThe reality is usually much less ideal: good principles are followed rigorously when the project is young, but as new features, bug fixes and different developers accumulate, components and services can become...
Dependencies, like graphs, are everywhere. Achieving a goal is rarely possible in a vacuum and requires collaboration between individuals and/or processes.Eliminating dependencies completely is unrealistic- they are a part of life- but they can be streamlined to improve efficiency and reduce friction.In this blog post, we use the example of software projects, but dependency management can very well be applied to many verticals such as supply chains, business processes, inventory management and government processes and workflow.Quite a few organizations struggle as the time draws close to releasing or delivering a version of their software projects.For many, it is a time...
Few years ago I decided that one day I would create a Graph Technology Landscape map, which would be useful for everyone who wants to discover the players around graph technologies. I started to collect the companies and products, but my research has never manifested into a proper blog post. Till now. I am happy to announce, that the first version of my landscape is published, I hope we can consider this as a start of a long journey.
In social network analysis, a conventional approach relies heavily on available metadata, allowing to match a virtual entity (social network account) to a real-world entity (person, company) in the network. However, a single person using multiple accounts for any reason obviously breaks the connection, forming multiple virtual entities in the network. Or multiple people can share their account, forming a single virtual entity in the network. If these cases are not taken into account, they can affect reliability of social network analysis significantly without any warning, possibly leading to misinformed decisions and further bad consequences.
In this blog we will go over the Full Text Search capabilities available in the latest major release of Neo4j.Contrary to our usual blogs, the content will rather focus on the underlying search engine used by Neo4j, that is Apache Lucene in version 5.5.5 .What exactly is Search ?Search is an interaction between a user and a search engine. The user has an information need at hand and attempts to satisfy it by providing a search with adequate constraints.The search engine uses those constraints to collect matching results and return them to the user.What is a Search Engine ?A search...
2018- it’s been such a whirlwind of activity at GraphAware, and we’re so proud of everything we’ve accomplished this year.In fact, we grew and grew, announcing ourselves in Australia and then, later in the year, expanding into the Americas.“Neo4j is one of the most disruptive and transformative technologies I have seen in my career,” said Kyle McNamara, CEO, Americas. His team are well on their way to increasing GraphAware’s presence and strengthening the already close bond we have with Neo4j.Over in Australia, various government entities have showed keen interest in auto-classification, simplifying organisational movement, enriching original documents, and security and...
Automated testing is the cornerstone of any successful software project.Applications using the Neo4j database are no exception. This blog postshows how to use the Neo4j Dockerimage and the Testcontainerslibrary for integration testing inJava using JUnit.This blog post shows examples in Java. Testcontainers library has beenported to many other languages so the same approach and principles canbe applied. Check out theTestcontainersgithub page.MotivationNeo4j already provides a testing harness to start a temporary databasewithin tests, either manually or through a JUnit rule. To use thisharness one must include theneo4j-harnessmaven artifact, together with whole Neo4j database as a testdependencyto the project. This inevitably pollutes...