The Apache Kudu team is happy to announce the release of Kudu 1.13.0! Kudu is an open source storage engine for structured data which supports low-latency random access together with efficient analytical access patterns. It is designed within the context of the Apache Hadoop ecosystem and supports many integrations with other data analytics projects both inside and outside of the Apache Software Foundation.
The new release adds several new features and improvements, including the following: - Added table ownership support. All newly created tables are automatically owned by the user creating them. It is also possible to change the owner by altering the table. You can also assign privileges to table owners via Apache Ranger. - An experimental feature is added to Kudu that allows it to automatically rebalance tablet replicas among tablet servers. The background task can be enabled by setting the `--auto_rebalancing_enabled` flag on the Kudu masters. Before starting auto-rebalancing on an existing cluster, the CLI rebalancer tool should be run first. - Bloom filter column predicate pushdown has been added to allow optimized execution of filters which match on a set of column values with a false-positive rate. Support for Impala queries utilizing Bloom filter predicate is available yielding performance improvements of 19% to 30% in TPC-H benchmarks and around 41% improvement for distributed joins across large tables. Support for Spark is not yet available. - ARM-based architectures are now supported. The above is just a list of the highlights, for a more complete list of new features, improvements and fixes please refer to the release notes: https://kudu.apache.org/releases/1.13.0/docs/release_notes.html The Apache Kudu project only publishes source code releases. To build Kudu 1.13.0, follow these steps: - Download the Kudu 1.13.0 source release: https://kudu.apache.org/releases/1.13.0 - Follow the instructions in the documentation to build Kudu 1.13.0 from source: https://kudu.apache.org/releases/1.13.0/docs/installation.html#build_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: https://search.maven.org/search?q=g:org.apache.kudu%20AND%20v:1.13.0 The Python client source is also available on PyPI: https://pypi.org/project/kudu-python/ Additionally, experimental Docker images are published to Docker Hub: (https://hub.docker.com/r/apache/kudu), including for AArch64-based architectures (ARM). Regards, The Apache Kudu Team
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