![]() ![]() ![]() Neo4J will be run in a Docker container and in this simple case we will not map data to volumes outside the container (that means that we do not persist the data in the Neo4J database) Run Node application (that will fetch the data, load it into Neo4J and execute the query to find the shortest path).Run Neo4J Container Image (as described in this article by my colleague Rosanna Denis).Prerequisite: Linux host with Docker engine available to run Docker container (images) and an internet connection. ![]() The steps for learning the shortest route (in terms of the number of land borders to cross) from France to India are: The code associated with this article is available in GitHub at. The Node application leverages the NPM module neo4j-driver. The country data is retrieved from a GitHub document by a Node application that subsequently creates the nodes and edges in the Neo4J instance using Cypher expressions that are executed through the Bolt protocol server. Some challenges can be dealt with in Graph Databases far more elegantly and efficiently than for example in relational databases using traditional SQL.Īs simple example, this article will create a Neo4J Graph Database instance, populated with the countries of the world (the nodes) and the (land) borders between the countries (the edges). Graph Databases are good at recording nodes and edges – and even more at performing queries that traverse the edges. ![]()
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