It lets you write standard V8 JavaScript, and create REST endpoints that can return ArangoDB queries. Step 3: Write a Foxx microserviceįoxx is a JavaScript framework that runs inside the ArangoDB container. The ArangoDB website has some great AQL resources to help you return custom results. }], FLATTEN(FOR v, e IN 1 ANY start GRAPH 'movies-graph' It means we can present our JSON result in a KeyLines-ready format, without any client-side processing.įor example, to request a specific actor and their direct connections, run: LET start = (FOR a IN actor FILTER a.name = 'Keanu Reeves' RETURN a)įOR movies IN 1 OUTBOUND start GRAPH 'movies-graph' RETURN moviesĪ great feature of ArangoDB is that we can use JavaScript syntax to decide how query results should be returned. To find movies that Keanu Reeves acted in, run: These results are a starting point that we can build on. For example, to find Keanu Reeves in the database, run: FOR a IN actor FILTER a.name = 'Keanu Reeves' RETURN a To make querying ArangoDB easier, the team have created the Arango Query Language (AQL). See ArangoDB’s documentation on importing data. Due to the way we created the json files, this is just Arango’s way of telling us that it will not create a vertex more than once and that behaviour is completely reasonable for us.ĭon’t forget to add the options ––server.password or ––ername if you have different credentials. These may look scary, but are completely safe to ignore. You may see some WARNING messages in the console about ‘unique constraint violated’. The movies data is in JSON files, so we’ll run these commands to import it into our database:Īrangoimp -server.database movies -file movies.json -collection movieĪrangoimp -server.database movies -file actors.json -collection actorĪrangoimp -server.database movies -file links.json -collection links Now we’ve set up our collections and graph, we can import the data.ĪrangoDB comes with a command line tool ‘arangoimp’, which makes it easy to import data from different formats. (Note: vertex is a graph database term for node, and an edge is a link). We’ve defined the graph with a single edge collection and 2 collections for vertices. Next, create a graph called ‘movies-graph’ with this setup:
Arangodb visualization password#
It’s best to create a user or change the root password before you continue. You can run commands in the shell interface called ‘arangosh’. I’m using a Mac, so at the command line I’ll enter:
Arangodb visualization full#
There are full instructions in their excellent getting started guide.
Arangodb visualization install#
Step 1: Set up ArangoDBĭownload and install the latest ArangoDB version. ArangoDB combines the advantages of a document, key-value and graph database with good performance and scalability.ĪrangoDB can work with KeyLines to power a robust graph visualization application. One way to avoid these problems is to use a multi-model databases like ArangoDB. Deploying to multiple database technologies in a single project is complex and has a greater maintenance overhead.
This approach, known as polyglot persistence, ensures good performance but presents challenges. Highly connected data -> graph database, etc.What is a multi-model database?ĭatabase technologies are optimized for specific types of data: This blog post focuses on ArangoDB – a native multi-model database that combines the strengths of graph, document and key-value stores – and how it can power your KeyLines application. In the last 12 months alone, IBM Graph, Microsoft Graph Engine, and Google & IBM-backed Janus Graph joined existing players like Oracle, DataStax Enterprise, Titan and Neo4j, in the enterprise graph database market.īut there’s another genre of datastore that’s optimised for connected data: the multi-model database. The growing interest in graphs shows no signs of slowing as organizations seek to realise the value buried in their connected data. Some of the players in the growing graph database market
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