Documentation : Data Schema, Input Restrictions.The nice thing about virtual properties is that they are calculated in the scope of the visualization so when you add or remove nodes and relationships from visualization virtual properties are recalculated and new patterns emerge. Virtual properties are small JavaScript functions that return a value and are very useful for calculating derived values like performance indicators, flags (true/false values) which can be then used for visualization styling. Default virtual properties can be also defined in Data Schema. Open the "Fulltext search configuration"įor modeling use cases (manual gathering of data) Data Schema configuration can be used for defining restrictions like read-only properties, predefined lists of values for data inputting which leads to better data quality.Step for reindexing the full-text index (see picture below): "Visualization" - the full-text configuration button is located in the header right next to the search input field."Search & Manage Data" - available in the main menu in the right part of the header.This is especially needed when Graphlytic is for the first time connected to an existing Neo4j graph - without reindexing the full-text search will not work (only the first 10 nodes will be accessible). After that, Graphlytic will automatically reindex any changes done in the graph.įulltext index configuration is accessible from these pages: When you want to use the full-text index in Graphlytic, please configure it first and reindex the connected Neo4j graph. Graphlytic is ready to be used out of the box for any graph data but the true value is in configuration options like Data Schema, Styling, User Groups, Application Permissions, Data Access Management, or Scheduled Jobs (all described in more detail in the next chapters). We have achieved this by a combination of extensive configuration options and bespoke customization. We are striving to get the right balance between two opposite things - simple graph UI and support for complex tasks. Scheduled Jobs for automatic data update and graph manipulation.Read more in The Ultimate Advantage of Graphlytic in the Parallel Relationships Graph Models. There is a short video later in the article on this topic. Visualization and analysis of graphs with parallel relationships - this is useful particularly for analysis of event logs and communication logs.Read more in How to set-up Query Templates for non-technical users. Pattern searching and visualization with simple built-in analytics.Graph Modeling - manual modeling or graph generated from different data sources.So, what can you do with your freshly installed Graphlytic? There are several use cases where Graphlytic can be very helpful with its features, e.g.: How to connect to a remote Neo4j instance - step by step tutorial on how to add a remote Neo4j instance in Neo4j Desktop and connect with Graphlytic Desktop. Here is a short clip of all steps in installing and running Graphlytic Desktop with an existing Neo4j Graph: More information can be found in the chapter "Fulltext Search" below the video. You will be not able to use the fulltext search until the database is reindexed. If the login screen appears use these credentials:ĥ.Reindex the full-text index - this is especially needed when you connect Graphlytic to any existing Neo4j graph, with data already loaded in the graph. Here's a step-by-step tutorial on How to connect to a remote Neo4j instance.Ĥ.Start Graphlytic by Choosing the " Graphlytic Desktop" application from the "Open" menu in your running Neo4j Graph. And click the " Install" button (another option is to add Graphlytic Desktop directly from the Graph Apps Gallery but this does not work on every OS).ģ.Start a local or remote Neo4j Graph instance - The current version of Graphlytic Desktop works with Neo4j 3.5.6 and higher.
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