![]() Now afterĬommit( aef7072) we cannot insert data for predicates starting with dgraph. Note: We didn't observe this before commit( aef7072), because predicate was getting inserted via graphql upserts( #3 of start steps). This leads to retrying of schema proposal if they fail once because indexing is already This PR checks if proposal is data mutation(having edges > 0), while marking it done When we insert aphql type, verifyTypes() fails, because it never findsĪssumption that proposal is never failed while applying, hence it should be marked as done withoutĮrror immediately, should hold only for data mutations and not schema mutations. Next we propose, which is applied successfully(indexing is done until now But applying of this proposalįails as indexing was already in progress for dgraph.type. Since we marked above proposal done without error, we propose next schema mutation forĭ, which again is marked done without error. ![]() We propose schema mutation for dgraph.type, which is marked as done immediately. In ludicrous mode we mark any proposal done without error as soon as it is retrieved as part of commited entries, as opposed to after applying proposal (this is done in normal mode). In schema or should be part of same mutation where we are trying to insert this type. While inserting types we verify that predicates used in the types should either already be present We also upsert data related to graphql schema(which results in upserts for predicatesĭ and ). We also insert aphql type(having predicates and Shortest path between 2 nodes, given attributes: Yes, we could do that.Ĭreate relationship between 2 nodes: Yes.Ĭurrently we are unable to start alpha server in ludicrous mode, because of reasons explainedĪt start we insert dgraph.type, and predicates as It's a property attached to a posting in a posting list. Given an Attribute, find a (end?) node: Don't see the point.įind all Entities for a label and property: If this means RDF label, then no. Given an Attribute, find a (start?) node: What does start mean? Given we sort (Attribute, Entity) lexicographically, does start mean first Entity for a given Attribute? Why is that useful? I just don't see the point. Get all Attributes in a graph: Not scalable, so No. Given an Entity, Attribute, return it's neighbors: Yes Schema should give you that (GraphQL type system). Get all attributes for a given entity: No. Get all entities of the graph: Not scalable, so No. Relationship I assume means Attribute in DGraph. This is a clear and simpler design decision I see in Tao (Facebook's graph db) and GraphQL, which emphasizes extensible, flexible, but well defined schema. ![]() We could store them, if there's a strong use case (it would just mean added complexity to keep things in sync) but even our query language, GraphQL is designed to avoid that. So, for a given node, you currently can't locate all it's properties. DGraph is designed for a use case where the schema is well defined, not arbitrary. This looks like it was designed for Neo4J use case. Node creation using batch operation for massive writesĬreate relationship of given type between two specified nodesĪgain, the rest are implemented here in the extended class Given the relationship find its start nodeįind all nodes with given label and propertyįind shortest path between 2 nodes with the configuration of relationship type and max depth set for the path Given a node that is attached to a relationship, returns the other node Get all the relationships of a given node Most the queries are written in the extended class, but some of them are written in Neo4JMAssiveInsertion, Neo4J single Insertion, Neo4JQuery, and the primitive queries in these three files are as follows. ![]() GraphDatabaseBase implements GraphDataBase and all other databases extends and thus overrides GraphDatabaseBase. , All the Databases under scrutiny should implement this interface.Neo4J's implementation of the interfaces are here. ![]()
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