Apache Kylin™ Technical Blog

Apache Kylin v1.6.0 Release Announcement

The Apache Kylin community is pleased to announce the release of Apache Kylin v1.6.0.

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

This is a major release after 1.5.4, with the reliable and scalable support for using Apache Kafka as data source; this enables user to build cubes directly from streaming data (without loading to Apache Hive), reducing the data latency from days/hours to minutes.

Apache Kylin 1.6.0 resolved 102 issues including bug fixes, improvements, and new features. All of the changes can be found in the release notes.

Change Highlights

  • Scalable streaming cubing KYLIN-1726
  • TopN counter merge performance improvement KYLIN-1917
  • Support Embedded Structure JSON Message KYLIN-1919
  • More robust approach to hive schema changes KYLIN-2012
  • TimedJsonStreamParser should support other time format KYLIN-2054
  • Add an encoder for Boolean type KYLIN-2055
  • Allowe concurrent build/refresh/merge KYLIN-2070
  • Support to change streaming configuration KYLIN-2082

To download Apache Kylin v1.6.0 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!