![]() This can be achieved with the Cypher CASE expression.Īt last, in our new script we’ll connect the descriptor node to all other nodes to make it easy to understand which graph elements it describes. To prevent this, we’ll provide our script with a filter stage that will “collapse” similar EIP-types to a general form, for example, all channel varieties to a single channel label. But speaking of nodes we should be careful, there shouldn’t be too many distinct labels as they can make the graph a variegated mess of different-sized circles. Sounds great, doesn’t it? Yes, in general. The good news, however, is that the APOC library has and procedures 2 that can create/update nodes and links by taking the labels (types) as variables:Ī – merge nodes with dynamic labels, with support for setting properties ON CREATE or ON MATCHĪ – merge relationship with dynamic type, with support for setting properties ON CREATE or ON MATCH 1 It’s bad news because we get to know our nodes and links just after the JSON gets loaded which is a part of our Cypher script. those values must be specified before the script is executed. The thing is, “out-of-the-box” Cypher language does not allow to generate neither vertex labels nor edge types dynamically, e.g. Of course, we should use different labels for nodes (depending on their componentType field) and different types for links (depending on their type field) to overcome the restriction, but it is not trivial either. Since we now have the same node label and the same link type for all graph elements, we can’t use distinct styling. ![]() However, it’s not a trivial task because those visual properties in GraSS files are bound to nodes’ labels and links’ types but not to the properties of either. This article comes with an example of such a file for Spring Integration graphs. For this, we can leverage the Neo4j Browser’s support of Graph Style Sheets ( GraSS) – CSS-like files describing color, size (but not shape) and other visual properties of graph vertices and edges. With these observations in mind, we can make our nodes and links more informative by providing them with visual distinction, depending on their type. There is no relation between the descriptor and the nodes it describes.The real type of the link is hidden in the edge’s type property. All the edges have the same Link label which is not informative at all.agentR) so that we have to hover over every node to see its full name in the status bar of the result panel. Also, many node names start with the same prefix (e.g. ![]() Almost all nodes are rendered with the same color and size so there is no sense in their visual appearance.That’s not bad but far from perfect because: Then, if we execute the script with this example in the Neo4j Browser, the result might look like: Since the JSON provided by Spring Integration contains all the info required for visualization, we could have taken it “as is” ( nodes to vertices, links to edges, nested fields to properties) and translated it into the Cypher script to produce exactly the same graph in Neo4j. 4.0) are equal to the same digits of Neo4j itself. 1 If installing APOC manually, please ensure that its first 2 digits of the version (e.g. But since we don’t rely on any database internals here, everything should work on other versions as well. ![]() This article is using Neo4j version 4.0.1. Cloud-hosted Neo4j Sandbox already has the library pre-installed. This is de-facto standard library from Neo4j authors so that you can find and install it right from the official site.
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