To learn how to use SQLServer as Data Source, please check the comments in JIRA: https://issues.apache.org/jira/browse/KYLIN-3044 The RDBMS as datasource issue is still open. Hope someone help on this: https://issues.apache.org/jira/browse/KYLIN-2873
For the dashboard, please check http://kylin.apache.org/docs23/howto/howto_use_dashboard.html With Warm regards Billy Liu 2018-03-04 23:58 GMT-08:00 Kumar, Manoj H <[email protected]>: > Thanks for sharing this.. I have changed conf. folder from 2.1 to 2.3 > (kylin.properties). but didn’t see the dashboard menu on Kylin UI. What do > you mean for “Support SQL Server as data source”. Do you have any document > or help? > > > > > > > > [KYLIN-2727] - Introduce cube planner able to select cost-effective > cuboids to be built by cost-based algorithms > [KYLIN-2726] - Introduce a dashboard for showing kylin service related > metrics, like query count, query latency, job count, etc > > [KYLIN-3125] - Support SparkSql in Cube building step “Create Intermediate > Flat Hive Table” > [KYLIN-3052] - Support Redshift as data source > [KYLIN-3044] - Support SQL Server as data source > > > > Regards, > > Manoj > > > > From: Billy Liu [[email protected]] > Sent: Sunday, March 04, 2018 12:14 PM > To: dev <[email protected]>; user <[email protected]>; > [email protected] > Subject: [Announce] Apache Kylin 2.3.0 released > > > > Hello Kylin & Apache community, > > The Apache Kylin team is pleased to announce the immediate > availability of the 2.3.0 release. > > This is a major release after 2.2.0, with more than 250 bug fixes and > enhancements; All of the changes in this release can be found in: > 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/ > > 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/Spark. > 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 2.3.0 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/ > > > With Warm regards > > Billy Liu > > 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.
