Hello, I am trying to validate my model with several shapes, but I want to use only one SHACL rule per validation in order to distribute the work in a cluster. I noticed that when validating the model with multiple shapes, the execution is significantly faster than running each validation only with one shape. For instance, if I call the validator once with a shape model comprising three shapes, it takes 52 seconds, while executing the validator three times with one shape each takes in total 197 seconds.
I profiled the execution and it seems that most of the time (73.8%) is spent executing org.apache.jena.reasoner.rulesys.impl.LPTopGoalIterator.moveForward() called from the statement iterator in org.topbraid.jenax.util.JenaUtil.hasSuperClass(). I don't understand how such significant performance improvements are achieved when multiple shapes are used when validating the model. I am aware of org.topbraid.shacl.validation.ClassesCache (used in org.topbraid.shacl.validation.ValidationEngine) but I am not sure whether this is the reason for it. Are there any other caches implemented that could yield these performance boosts? Also, I noticed that the collection rootShapes in org.topbraid.shacl.validation.ValidationEngine contains 51 items, which are not directly included in my shapes file (e.g., "sh:MinExclusiveConstraintComponent", "dash:NonRecursiveConstraintComponent", "dash:QueryTestCase", "sh:MaxInclusiveConstraintComponent"). I don't think that these shapes are executed on each validation, as they have no focus nodes, but where do they come from? Any help would be greatly appreciated. -- You received this message because you are subscribed to the Google Groups "TopBraid Suite Users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/topbraid-users/388143d3-6925-45b0-9128-5b21842c747cn%40googlegroups.com.
