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From Attila Bukor <abu...@apache.org>
Subject [ANNOUNCE] Apache Kudu 1.8.0 Released
Date Fri, 26 Oct 2018 19:34:19 GMT
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

- 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:

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:
- Follow the instructions in the documentation to build Kudu 1.8.0 from

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:

The Apache Kudu team

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