The Apache Kudu team is happy to announce the release of Kudu 1.8.0! 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: - Introduced manual data rebalancer tool which can be used to redistribute table replicas among tablet servers - Added support for `IS NULL` and `IS NOT NULL` predicates to the Kudu Python client - Improved tooling to make diagnostics and troubleshooting simpler - Added support for Spark Streaming DataFrames to the Kudu Spark connector - Added Pandas support to the Python client 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/1.8.0/docs/release_notes.html The Apache Kudu project only publishes source code releases. To build Kudu 1.8.0, follow these steps: - Download the Kudu 1.8.0 source release: https://kudu.apache.org/releases/1.8.0 - Follow the instructions in the documentation to build Kudu 1.8.0 from source: https://kudu.apache.org/releases/1.8.0/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%7Cga%7C1%7Cg%3A%22org.apache.kudu%22%20AND%20v%3A%221.8.0%22 The Python client source is also available on PyPI: https://pypi.org/project/kudu-python/ Regards, The Apache Kudu team
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