On behalf of the Apache Drill community, I am happy to announce the release of Apache Drill 1.17.0.
Drill is an Apache open-source SQL query engine for Big Data exploration. Drill is designed from the ground up to support high-performance analysis on the semi-structured and rapidly evolving data coming from modern Big Data applications, while still providing the familiarity and ecosystem of ANSI SQL, the industry-standard query language. Drill provides plug-and-play integration with existing Apache Hive and Apache HBase deployments. For information about Apache Drill, and to get involved, visit the project website [1]. Total of 200 JIRA's are resolved in this release of Drill with following new features and improvements [2]: - Hive complex types support (DRILL-7251, DRILL-7252, DRILL-7253, DRILL-7254) - ESRI Shapefile (shp) (DRILL-4303) and Excel (DRILL-7177) format plugins support - Drill Metastore support (DRILL-7272, DRILL-7273, DRILL-7357) - Upgrade to HADOOP-3.2 (DRILL-6540) - Schema Provision using File / Table Function (DRILL-6835) - Parquet runtime row group pruning (DRILL-7062) - User-Agent UDFs (DRILL-7343) - Canonical Map<K,V> support (DRILL-7096) - Kafka storage plugin improvements (DRILL-6739, DRILL-6723, DRILL-7164, DRILL-7290, DRILL-7388) For the full list please see release notes [3]. The binary and source artifacts are available here [4]. Thanks to everyone in the community who contributed to this release! 1. https://drill.apache.org/ 2. https://drill.apache.org/blog/2019/12/26/drill-1.17-released/ 3. https://drill.apache.org/docs/apache-drill-1-17-0-release-notes/ 4. https://drill.apache.org/download/ Kind regards, Volodymyr Vysotskyi
