Apache Kylin™ Technical Blog

Apache Kylin v1.5.3 Release Announcement

The Apache Kylin community is pleased to announce the release of Apache Kylin v1.5.3.

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, original contributed from eBay Inc.

To download Apache Kylin v1.5.3 source code or binary package:
please visit the download page.

This is a major release which brings more stable, robust and well management version, Apache Kylin community resolved about 84 issues including bug fixes, improvements, and few new features.

Change Highlights

  • A better way to check hadoop job status KYLIN-1319
  • Global (and more scalable) dictionary KYLIN-1705
  • More stable and functional precise count distinct implements after KYLIN-1186 KYLIN-1379
  • Improve performance of MRv2 engine by making each mapper handles a configured number of records KYLIN-1656
  • Distribute source data by certain columns when creating flat table KYLIN-1677
  • Allow cube to override MR job configuration by properties KYLIN-1706
  • Allow non-admin user to edit ‘Advenced Setting’ step in CubeDesigner KYLIN-1731
  • Calculate all 0 (except mandatory) cuboids KYLIN-1747
  • Allow mandatory only cuboid KYLIN-1749
  • Couldn’t use View as Lookup when join type is “inner” KYLIN-1789
  • Exception inside coprocessor should report back to the query thread KYLIN-1645
  • minimize dependencies of JDBC driver KYLIN-1846
  • TopN measure support non-dictionary encoding KYLIN-1478


Follow the upgrade guide.


Any issue or question, please
open JIRA to 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!