Hi Everyone, Version 1.6.3 of the Riak Spark Connector has been released, and is now available through both GitHub <https://github.com/basho/spark-riak-connector/releases/tag/v1.6.3> and Spark Packages <https://spark-packages.org/package/basho/spark-riak-connector>. I'd like to thank the team, especially Sergey Galkin <https://github.com/srgg>, for all their hard work on this release.
This release fixes some issues, and enhances some features: - Enhancement - Data locality support for Coverage Plan Based Partitioning #230 <https://github.com/basho/spark-riak-connector/pull/230> - Enhancement - Improve Coverage Plan Based Partitioning: smart split calculation and more accurate coverage entry distribution across the partitions #231 <https://github.com/basho/spark-riak-connector/pull/231> - Critical Fix - Python serialization for empty JSON objects #226 <https://github.com/basho/spark-riak-connector/pull/226> - Fix - Remove double filtering for DataFrames #228 <https://github.com/basho/spark-riak-connector/pull/228> As always, issues and PRs are welcome via the project's GitHub page <https://github.com/basho/spark-riak-connector>. Thanks, Alex Moore Clients Team Lead, Basho amo...@basho.com
_______________________________________________ riak-users mailing list riak-users@lists.basho.com http://lists.basho.com/mailman/listinfo/riak-users_lists.basho.com
