Hi ECOR: You can refer to http://kylin.apache.org/cn/docs/install/index.html <http://kylin.apache.org/cn/docs/install/index.html> to use kylin 3.1.
> 在 2020年7月6日，09:39，ECOR、one <whizz...@foxmail.com> 写道： > > i want to know how to use Kylin 3.1.0 anyone help me > ? > > > > ------------------ 原始邮件 ------------------ > 发件人: "Han Luke"<luke...@gmail.com>; > 发送时间: 2020年7月4日(星期六) 晚上6:46 > 收件人: "u...@kylin.apache.org"<u...@kylin.apache.org>; > 抄送: "dev"<dev@kylin.apache.org>; > 主题: Re: [Announce] Apache Kylin 3.1.0 released > > > > That’s cool, thanks everyone. > > ________________________________ > From: ShaoFeng Shi <shaofeng...@apache.org> > Sent: Thursday, July 2, 2020 10:11:37 PM > To: user <u...@kylin.apache.org> > Cc: dev <dev@kylin.apache.org> > Subject: Re: [Announce] Apache Kylin 3.1.0 released > > Great! Thanks to everyone who contributed to this release! > > We encourage Kylin 2.x users to upgrade to Kylin 3, which has been verified > by several early and big users. In the future, we will focus more on 3.1 and > 4.0 development. > > Best regards, > > Shaofeng Shi 史少锋 > Apache Kylin PMC > Email: shaofeng...@apache.org<mailto:shaofeng...@apache.org> > > Apache Kylin FAQ: https://kylin.apache.org/docs/gettingstarted/faq.html > Join Kylin user mail group: > user-subscr...@kylin.apache.org<mailto:user-subscr...@kylin.apache.org> > Join Kylin dev mail group: > dev-subscr...@kylin.apache.org<mailto:dev-subscr...@kylin.apache.org> > > > > > George Ni <n...@apache.org<mailto:n...@apache.org>> 于2020年7月2日周四 > 下午9:44写道： > The Apache Kylin team is pleased to announce the immediate availability of > the 3.1.0 release. > > This is a major release after 3.0.0, with 10 new features and 142 bug fixes > and enhancement. All of the changes in this release can be found in: > https://kylin.apache.org/docs/release_notes.html > > You can download the source release and binary packages from Apache Kylin's > download page: https://kylin.apache.org/download/ > > Apache Kylin is an open-source Distributed Analytical Data Warehouse for Big > Data; it was designed to provide OLAP (Online Analytical Processing) > capability in the big data era. By renovating the multi-dimensional cube and > precalculation technology on Hadoop and Spark, Kylin is able to achieve > near-constant query speed regardless of the ever-growing data volume. > Reducing query latency from minutes to sub-second, Kylin brings online > analytics back to big data. > > Apache Kylin lets you query billions of rows at sub-second latency in 3 steps: > 1. Identify a Star/Snowflake Schema on Hadoop. > 2. Build Cube from the identified tables. > 3. Query using ANSI-SQL and get results in sub-second, via ODBC, JDBC or > RESTful API. > > Thanks to everyone who has contributed to this release. > > We welcome your help and feedback. For more information on how to report > problems, and to get involved, visit the project website at > https://kylin.apache.org/ > > -- > > --------------------- > > Best regards, > > > > Ni Chunen / George
