On behalf of the Apache Drill community, I am happy to announce the
release of Apache Drill 1.21.0.
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 110 JIRAs are resolved in this release of Drill with following
new features and improvements [2]:
* A major upgrade of the parsing and planning library Calcite from
1.21 to 1.33 enabled by the elimination of Drill’s fork of Calcite.
* Upgrades of most format plugins to the internal EVF2 reader
framework included support for provided schemas.
* A new native Drill storage plugin enabling “Drill-on-Drill”
federated deployments.
* INSERT support, currently in the JDBC, Splunk and Google Sheets plugins.
* New SQL syntax including filtered aggregates, PIVOT, UNPIVOT,
INTERSECT and EXCEPT.
* Support for new authentication modes in storage plugins including
user translation for using different external credentials for
different Drill users.
* An overhaul of the implicit type casting logic for a more consistent
user experience.
* New functions and storage plugins including Delta Lake, Google
Sheets, MS Access, threat hunting functions and statistical
distribution functions.
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/2023/02/21/drill-1.21.0-released/
3. https://drill.apache.org/docs/apache-drill-1-21-0-release-notes/
4. https://drill.apache.org/download/
