If you are running Memgraph on anything other than Docker then continue with the next paragraph, otherwise, skip to the Developing Custom Query Modules using Docker section. To start working on a new query module, you need to be familiar with the development process.
Writing Custom Cypher Proceduresįirst things first. The second option is a bit more elegant is what you’ll be learning in the rest of this tutorial. This way, Memgraph has no knowledge about the JSON file, you have to handle it completely by yourself and only run the finished queries with the data extracted from the JSON file. You just parse the needed JSON document and create the appropriate queries for populating your database. The first option is a pretty straightforward hack. Well, there are actually two ways of importing such data: So what are your options if you need this feature in an upcoming project? Memgraph doesn’t come with the option of handling JSON out of the box. An installation of Memgraph Lab: an integrated development environment used to import data, develop, debug and profile database queries and visualize query results.Follow the Docker Installation instructions on the Quick Start page to get started. An installation of Memgraph DB: a native fully distributed in-memory graph database built to handle real-time use-cases at enterprise scale.To complete this tutorial, you will need: You can find the MAGE repository on this link. It’s an open-source project started by Memgraph that encourages developers to share innovative and useful query modules so the whole community can benefit from them. MAGE stands for Memgraph Advanced Graph Extensions. In this tutorial, you will go through the process of implementing a few simple utility procedures to load and export data in a JSON format. You can implement them using a Python or C API.
Memgraph introduces the concept of query modules which are collections of custom Cypher procedures. But thankfully, there is always the option of writing your own custom procedures. Every query language has its disadvantages and Cypher is no exception. Oftentimes you find yourself unable to come up with the perfect query that fits the problem at hand.
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