Steam

Results 66 comments of Steam

你可以参考下面的链接,将对应的执行计划贴一下,看下具体的耗时点是在哪里。 https://discuss.nebula-graph.com.cn/t/topic/11938 You can refer to the link above and provide the corresponding execution plan to identify the specific points of time consumption.

把你语句贴一下,然后这个问题不是 nebula-studio 的,我挪到 nebula repo 下了。 Please paste your statement, and I have moved this question to the nebula repository, not nebula-studio.

你在什么操作的时候,遇到了该报错呢?你可以先试试在 graphd 里配置 –enable_udf=true更改为false What operation were you performing when you encountered this error? You can try configuring `--enable_udf=true` to `false` in graphd first.

你遇到的问题基本上和这个报错没关系,之前报这种错误的有版本对不齐的,端口配置不对,反正和 udf 没任何关系。你想了解具体的问题的话,假如不幸下次再遇到,就先把 udf 功能关了之后,再看相关的报错日志。 The issues you have encountered are basically unrelated to this error. This type of error usually occurs due to version mismatch or incorrect port configuration,...

> 我也遇到了。 我是执行这个命令的时候报错,然后graph进程退出,再用需要重启。 match p=(v:firewall)-[*]-(v1:lvsvs{ip:"123.103.124.101"})-[e]-(v2:service) return p 按照上面说的把true设为false,倒是不报错,可是进程依然退出。日志没有内容。 你这个 graph 退出了可能是服务异常了,你创建索引了么?没有的话,你这个语句可能会去读全盘数据,容易把系统搞挂。 Your graph might have crashed due to a service error. Have you created an index? If not, your query...

Currently, all operations on NebulaGraph are performed based on a specific graph space. If there is no corresponding graph space, the command cannot be executed. However, as you mentioned, there...

你可以将 limit 和 offset 组合使用达到分页的效果,参考文档:https://docs.nebula-graph.com.cn/3.6.0/3.ngql-guide/8.clauses-and-options/limit/ You can use the combination of LIMIT and OFFSET to achieve pagination. refer docs: https://docs.nebula-graph.io/3.6.0/3.ngql-guide/8.clauses-and-options/limit/

这个和分页功能没啥关系,你是想聚集一些结果之后返回。🤔 你可以用 match 语句,在边类型里加上你想要筛选的那几个类型。参考这个:https://docs.nebula-graph.com.cn/3.6.0/3.ngql-guide/7.general-query-statements/2.match/#edge_type_2

这个问题先行关闭了,你如果有其他的问题,可以再开一个 issue 来交流,谢谢 [guiniao](https://github.com/guiniao)。 This issue will be closed for now. If you have any other problems, please feel free to open another issue to discuss. Thank you.