You are viewing a plain text version of this content. The canonical link for it is here.
Posted to user@kylin.apache.org by "Kumar, Manoj H" <ma...@jpmorgan.com> on 2018/04/02 08:11:00 UTC

RE: [Announce] Apache Kylin 2.3.1 released

Hi Billy – For Table level ACL, How to do we create new user in Kylin 2.3.1 & Attach that user at project level, link with Table ACL. Can you pls. give information on this?

Regards,
Manoj

From: Billy Liu [mailto:billyliu@apache.org]
Sent: Wednesday, March 28, 2018 3:50 PM
To: user <us...@kylin.apache.org>
Cc: dev <de...@kylin.apache.org>; announce@apache.org
Subject: Re: [Announce] Apache Kylin 2.3.1 released

Download page updated. https://kylin.apache.org/download/<https://secureweb.jpmchase.net/readonly/https:/kylin.apache.org/download/>


With Warm regards

Billy Liu

2018-03-28 17:03 GMT+08:00 Kumar, Manoj H <ma...@jpmorgan.com>>:
Pls. advise how can I download 2.3.1 version. I don’t see there

https://archive.apache.org/dist/kylin/<https://secureweb.jpmchase.net/readonly/https:/archive.apache.org/dist/kylin/>



[cid:image001.png@01D3CA88.37937510]

Regards,
Manoj

From: Billy Liu [mailtobillyliu@apache.org<ma...@apache.org>]
Sent: Wednesday, March 28, 2018 9:14 AM
To: dev <de...@kylin.apache.org>>; user <us...@kylin.apache.org>>; announce@apache.org<ma...@apache.org>
Subject: [Announce] Apache Kylin 2.3.1 released

The Apache Kylin team is pleased to announce the immediate
availability of the 2.3.1 release.

This is a bug fix release after 2.3.0 with 12 bug fixes and
enhancements; All of the changes in this release can be found in:
https://kylin.apache.org/docs23/release_notes.html<https://secureweb.jpmchase.net/readonly/https:/kylin.apache.org/docs23/release_notes.html>

You can download the source release and binary packages from Apache
Kylin's download page: https://kylin.apache.org/download/<https://secureweb.jpmchase.net/readonly/https:/kylin.apache.org/download/>

Apache Kylin is an open source Distributed Analytics Engine designed
to provide SQL interface and multi-dimensional analysis (OLAP) on
Apache Hadoop, supporting extremely large datasets.

Apache Kylin lets you query massive data set at sub-second latency in 3 steps:
1. Identify a star schema or snowflake schema data set on Hadoop.
2. Build Cube on Hadoop.
3. Query data with ANSI-SQL and get results in sub-second, via ODBC,
JDBC or RESTful API.

Thanks everyone who have contributed to the 2.3.1 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/<https://secureweb.jpmchase.net/readonly/https:/kylin.apache.org/>


With Warm regards

Billy Liu

This message is confidential and subject to terms at: http://www.jpmorgan.com/emaildisclaimer<http://www.jpmorgan.com/emaildisclaimer> including on confidentiality, legal privilege, viruses and monitoring of electronic messages. If you are not the intended recipient, please delete this message and notify the sender immediately. Any unauthorized use is strictly prohibited.


This message is confidential and subject to terms at: http://www.jpmorgan.com/emaildisclaimer including on confidentiality, legal privilege, viruses and monitoring of electronic messages. If you are not the intended recipient, please delete this message and notify the sender immediately. Any unauthorized use is strictly prohibited.