llooFlashooll opened a new issue, #2067: URL: https://github.com/apache/incubator-hugegraph/issues/2067
### Bug Type (问题类型) gremlin (结果不合预期) ### Before submit - [X] 我已经确认现有的 [Issues](https://github.com/hugegraph/hugegraph/issues) 与 [FAQ](https://hugegraph.github.io/hugegraph-doc/guides/faq.html) 中没有相同 / 重复问题 ### Environment (环境信息) - Server Version: v0.12.0 - Backend: memory - OS: 2.6 GHz 6-Core Intel Core i7, 32 GB, macOS 13.1 - Data Size: 100 vertices, 100 edges ### Expected & Actual behavior (期望与实际表现) - Expected & Actual behavior We construct the following scenario: x equals count nodes(A->B) path numbers, y equals count nodes(B->C) path numbers, z equals count(A->B->C) path numbers. Then z should equal to x*y. We generate graph schema and data based on random strings and values. We build the graph with 100 vertexes, 200 edges, 20 vertex labels, and 20 edge labels. `g.V().id()` is used to get the node ids of the graph, then can use for loop to traverse all the nodes. Here is one of our examples executed. 1) `g.V(675011034469105664).repeat(out().simplePath()).until(hasId(675011035228274688)).path().size()` return 9 2) `g.V(675011035228274688).repeat(out().simplePath()).until(hasId(675011034720763904)).path().size()` return 10 3) `g.V(675011034469105664).repeat(out().simplePath()).until(hasId(675011035228274688)).repeat(out().simplePath()).until(hasId(675011034720763904)).path().size()` return 0. Query 3 should have returned 9*10. - Steps to Reproduce: Although the randomness of the graph data generation process, we still find the problem after many attempts. Reproduce: Generate a large enough graph -> Get all node ids -> Count the number of paths for any two ids -> Multiply and compare following our strategy. The reason for this bug we think is that HugeGraph doesn't support two-hop path number traversal? ### Vertex/Edge example (问题点 / 边数据举例) _No response_ ### Schema [VertexLabel, EdgeLabel, IndexLabel] (元数据结构) _No response_ -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
