Results 9 comments of tanggen

> i tested this: https://matrix.org/docs/spec/client_server/r0.6.1#post-matrix-client-r0-register > response i got was this: > `{"errcode":"M_INVALID_USERNAME","error":"User ID must be @localpart:domain"}% ` According to the error msg, it is just because that you don't...

> i tested this: https://matrix.org/docs/spec/client_server/r0.6.1#post-matrix-client-r0-register > response i got was this: > `{"errcode":"M_INVALID_USERNAME","error":"User ID must be @localpart:domain"}% ` @turnip-jing , Can you verify this error?

> `root@329229-ci77983:~# docker run --network ligase_default --expose 8008 --detach --name ligase ligase` > `ccd1cbc5fdce9d2b4a03f86144d250f844762920e86a086129c506fdef72fef8` > `root@329229-ci77983:~# docker logs $(docker ps -aql)` > `./start.sh: line 28: ./bin/engine-server: not found` Thanks for...

Hi, thanks for your contribution. However, I don't think that the converter of [Any, java.util.List[java.util.Map[String, String]] nor [Any, java.util.Map[String, String]] would really work. Currently, in PySpark only (String, String) or...

Yeah, it could work in local mode without any doubt, as the serialization of data doesn't really happen in local mode. In the cluster mode, python driver will pass the...

I am sorry that I could not find the document that mentioned that. You know, spark is not very well documented. However, I found some codes which can explain that...

Hi, The logic of this converter is like this: we transform JSON object in scala into a string, and we retransform string into JSON in python. Therefore we should make...

Hi, I reconsider your code, I misunderstand your code before. I think you are right. I just don't consider to use json array string when I was writing this code....

话说,我觉得这篇文章讲得还算比较清楚的。 http://www.cnblogs.com/hseagle/p/3979744.html 希望能对你有帮助。 祝好! 亘 2015-10-09 10:19 GMT+08:00 Lijie Xu [email protected]: > 谢谢建议,sort-based之前研究过,但苦于一直没有空闲去总结,一直在写论文,最近也在写毕业论文,准备找工作,等到这段空闲下来会慢慢补充,还会包括调度器等,欢迎交流! > > — > Reply to this email directly or view it on GitHub > https://github.com/JerryLead/SparkInternals/issues/41#issuecomment-146738105 >...