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To showcase the benefits of using graphs with ArangoDB, we will use the example of domestic flights in the USA. Let's take a quick look at storing vertices and then explore a bit more on edge collections and indices.
![arangodb nested query arangodb nested query](https://i.ytimg.com/vi/f8on1lqVGB0/maxresdefault.jpg)
The key to graph database capabilities comes from something called an edge collection and an edge index.
![arangodb nested query arangodb nested query](https://www.arangodb.com/wp-content/uploads/2018/05/image1-768x465.png)
Vertices (or nodes) are being stored in normal collections. Today, we will take a look at how ArangoDB lets you map graph data natively to the database and how the database provides efficient access to graph datasets with a variety of different access patterns like traversals, shortest path, or pattern matching. In ArangoDB, this is handled differently (if you want to take a technical deep dive into ArangoDB's approach, see this article). Can you try using the latest version com.arangodb:arangodb-spring-boot-starter:1.0.3 with Spring Boot 2. Graph databases usually store edges connected to vertices directly at the vertex object. If you are already familiar with the graph database concept, then you know that a graph consists of vertices (or nodes) connected via edges.
ARANGODB NESTED QUERY FULL
With ArangoDB, that is its native multi-model approach including full graph database capabilities, and I am going to explain the fundamental pieces of what that means. I'm interested in writing a query which checks if the phrase 'Santa Claus' is found in any of a story's paragraphs and returns the story ID, count of paragraphs and the paragraph number where the match happened. When looking for a solution for your project, it is important to understand what makes each technology unique what sets it apart. Problem: Hello I've just recently started learning ArangoDB and I've been playing around with the SEARCH functionality.