[Bug] g.E().count() the result is not as expectedThe result is not as expected
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
Research direction
Start by reproducing the discrepancy in Hubble with the memory storage backend, comparing the number of synchronized edges with the result of g.E().count(). Review the reported environment and data-size details, then determine whether the memory backend imposes a limit or why the count differs; done means identifying the cause and documenting the verified behavior.
Written by the indexing model from the issue text.
Description
Bug Type (问题类型)
others (please edit later)
Before submit
- 我已经确认现有的 Issues 与 FAQ 中没有相同 / 重复问题 (I have confirmed and searched that there are no similar problems in the historical issue and documents)
Environment (环境信息)
- Server Version: 1.0.0 (Apache Release Version)
- Backend: RocksDB x nodes, HDD or SSD
- OS: xx CPUs, xx G RAM, Ubuntu 2x.x / CentOS 7.x
- Data Size: xx vertices, xx edges
Expected & Actual behavior (期望与实际表现)
请问当hugegraph存储是memory时，存的数据量是不是有限制，我同步了100w多条边，但通过hubble的g.E().count()查看边却只有2w条
Vertex/Edge example (问题点 / 边数据举例)
No response
Schema [VertexLabel, EdgeLabel, IndexLabel] (元数据结构)
No response
- Dominant language
- Java
- Stars
- 3.2k
- Forks
- 637
- Avg merge
- 3d 18h
- Merged PRs (30d)
- 23
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
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- Open a pull request that references the issue number.
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