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Posted to dev@hugegraph.apache.org by GitBox <gi...@apache.org> on 2022/08/19 07:40:19 UTC

[GitHub] [incubator-hugegraph] choeoe opened a new issue, #1945: [Bug] Incorrect return value of the same query

choeoe opened a new issue, #1945:
URL: https://github.com/apache/incubator-hugegraph/issues/1945

   ### Bug Type (问题类型)
   
   _No response_
   
   ### 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: `database server`: wsl ubuntu  `java api`: windows
   - Data Size:  300 vertices, 300 edges
   [data.zip](https://github.com/apache/incubator-hugegraph/files/9379912/data.zip)
   Use hugegraph-tools-1.6.0  
   Unzip data.zip and run command:
   ```
   bin/hugegraph --url http://127.0.0.1:8080 graph-mode-set -m RESTORING
   bin/hugegraph --url http://127.0.0.1:8080 restore -t all -d data
   ```
   
   ### Expected & Actual behavior (期望与实际表现)
   
   `connection`
   ```
   HugeClient hugeclient = HugeClient.builder("http://localhost:8080", "hugegraph").configTimeout(3000).build();
   ```
   `query`
   ```
   GremlinManager gremlinManager = hugeclient .gremlin();
   String query = "g.E().has('ep1',-585962746).has('ep1', lt(1385437860)).bothV().count()"
   String query1 = "t0=g.E()\n" +
                   "t1=t0.has('ep1',-585962746)\n" +
                   "t2=t1.has('ep1', lt(1385437860))\n" +
                   "t3=t2.bothV()\n" +
                   "t4=t3.count()\n" +
                   "t4"
   ResultSet r1 = gremlinManager.gremlin(query).execute()
   ResultSet r2 = gremlinManager.gremlin(query1).execute()
   ```
   The two query did the same act but returned different results:
   ```
   [2]
   [198]
   ```
   
   ### Vertex/Edge example (问题点 / 边数据举例)
   
   _No response_
   
   ### Schema [VertexLabel, EdgeLabel, IndexLabel] (元数据结构)
   
   _No response_


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[GitHub] [incubator-hugegraph] choeoe commented on issue #1945: [Bug] Incorrect return value of the same query

Posted by GitBox <gi...@apache.org>.
choeoe commented on issue #1945:
URL: https://github.com/apache/incubator-hugegraph/issues/1945#issuecomment-1304817056

   May I ask about the cause of the bug?
   @imbajin @javeme 


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[GitHub] [incubator-hugegraph] choeoe commented on issue #1945: [Bug] Incorrect return value of the same query

Posted by GitBox <gi...@apache.org>.
choeoe commented on issue #1945:
URL: https://github.com/apache/incubator-hugegraph/issues/1945#issuecomment-1231315651

   I have simplified it
   ```
   schema.propertyKey("ep0").asInt().ifNotExist().create();
   schema.vertexLabel("vl0").ifNotExist().create();
   schema.edgeLabel("el0").sourceLabel("vl0").targetLabel("vl0").properties("ep0").ifNotExist().create();
   schema.indexLabel("indexOnEl0").onE("el0").by("ep0").shard().ifNotExist().create();
   Vertex v0 = new com.baidu.hugegraph.structure.graph.Vertex("vl0");
   Vertex v1 = new com.baidu.hugegraph.structure.graph.Vertex("vl0");
   Vertex v2 = new com.baidu.hugegraph.structure.graph.Vertex("vl0");
   graph.addVertices(Arrays.asList(v0, v1, v2));
   Edge e0 = v0.addEdge("el0",v1,"ep0",-1);
   Edge e1 = v0.addEdge("el0",v2,"ep0",0);
   graph.addEdges(Arrays.asList(e0, e1));
   
   GremlinManager gremlin = connection.getHugespecial().gremlin();
   
   String query = "g.E().has('ep0',-1).has('ep0', lt(1)).bothV().count()";
   String query1 = "t0=g.E()\n" +
                   "t1=t0.has('ep1',-1)\n" +
                   "t2=t1.has('ep1', lt(1))\n" +
                   "t3=t2.bothV()\n" +
                   "t4=t3.count()\n" +
                   "t4";
   ```
   @imbajin 


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[GitHub] [incubator-hugegraph] choeoe commented on issue #1945: [Bug] Incorrect return value of the same query

Posted by GitBox <gi...@apache.org>.
choeoe commented on issue #1945:
URL: https://github.com/apache/incubator-hugegraph/issues/1945#issuecomment-1229906146

   [data.zip](https://github.com/apache/incubator-hugegraph/files/9442591/data.zip)
   I have reduced the dataset to 3 edges, and the problem still occurs


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