The Apache Kudu team is happy to announce the release of Kudu 1.11.1!
This release contains a fix which addresses a critical issue discovered in 1.10.0 and 1.11.0 and adds several new features and improvements since 1.10.0.
Apache Kudu 1.11.1 is a bug fix release which fixes critical issues discovered in Apache Kudu 1.11.0. In particular, this release fixes a licensing issue with distributing libnuma library with the kudu-binary JAR artifact. Users of Kudu 1.11.0 are encouraged to upgrade to 1.11.1 as soon as possible.
Apache Kudu 1.11.1 adds several new features and improvements since Apache Kudu 1.10.0, including the following:
- Kudu now supports putting tablet servers into maintenance mode: while in this mode, the tablet server’s replicas will not be re-replicated if the server fails. Administrative CLI are added to orchestrate tablet server maintenance (see KUDU-2069).
- Kudu now has a built-in NTP client which maintains the internal wallclock time used for generation of HybridTime timestamps. When enabled, system clock synchronization for nodes running Kudu is no longer necessary, (see KUDU-2935).
- Aggregated table statistics are now available to Kudu clients. This allows for various query optimizations. For example, Spark now uses it to perform join optimizations (see KUDU-2797 and KUDU-2721).
- The kudu CLI tool now supports creating and dropping range partitions for a table (see KUDU-2881).
- The kudu CLI tool now supports altering and dropping table columns.
- The kudu CLI tool now supports getting and setting extra configuration properties for a table (see KUDU-2514).
See the release notes for details.
The Apache Kudu project only publishes source code releases. To build Kudu 1.11.1, follow these steps:
- Download the Kudu 1.11.1 source release
- Follow the instructions in the documentation to build Kudu 1.11.1 from source
For your convenience, binary JAR files for the Kudu Java client library, Spark DataSource, Flume sink, and other Java integrations are published to the ASF Maven repository and are now available.
The Python client source is also available on PyPI.
Additionally experimental Docker images are published to Docker Hub.