Apache Kylin™ Technical Blog

Apache Kylin v2.3.0 Release Announcement

The Apache Kylin community is pleased to announce the release of Apache Kylin v2.3.0.

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

This is a major release after 2.2.0. The new features include supporting SparkSQL in building “Intermediate Flat Hive Table”, new dropwizard-based metrics framework and the fantastic cube planner which could select the cost-effective cuboids to build based on cost-based algorithm.

Apache Kylin 2.3.0 resolved 250+ issues including bug fixes, improvements, and new features. All of the changes can be found in the release notes.

Change Highlights

  • Support SparkSql in Cube building step “Create Intermediate Flat Hive Table” KYLIN-3125
  • Support SQL Server as data source KYLIN-3044
  • Support user/group and role authentication for LDAP KYLIN-2960
  • New metric framework based on dropwizard KYLIN-2776
  • Introduce cube planner able to select cost-effective cuboids to be built by cost-based algorithms KYLIN-2727 Document
  • Introduce a dashboard for showing kylin service related metrics, like query count, query latency, job count, etc KYLIN-2726 Document
  • Support volatile range for segments auto merge KYLIN-1892

To download Apache Kylin v2.3.0 source code or binary package, visit the download page.


Follow the upgrade guide.


Any issue or question,
open JIRA to Apache Kylin project: https://issues.apache.org/jira/browse/KYLIN/
send mail to Apache Kylin dev mailing list: dev@kylin.apache.org

Great thanks to everyone who contributed!