Elasticsearch 2.1.0 and 2.0.1 released

Kibana makes use of the geohash_grid aggregation to overlay aggregation results in a grid on a map, based on geolocation. Up until now, the results in each cell in the grid could only be positioned in the center of each cell, resulting in a row-and-column style display. Occasionally, the centre of a cell would fall squarely into the Atlantic Ocean instead of the neighbouring island of Manhattan.

The new geo_centroid metric aggregation calculates the weighted center — the point closest to the majority of the geo-points in the cell. This will result in a much more natural, realistic layout once it is supported by Kibana.

This release adds three new pipeline aggregations, used to post-process the results of other aggregations: the stats_bucket and extended_stats_bucket aggs calculate a number of statistics such as the min, max, avg, sum, sum_of_squares, variance, and std_deviation, while the percentiles_bucket agg calculates the specified percentiles.

From Elasticsearch 1.6.0 onwards, we have made significant improvements to the time it takes to restart a node by adding synced flushing, delayed shard allocation, and the ability to cancel ongoing shard relocations if a node rejoins the cluster with a good copy of the shard.

These changes revealed some flaws in the shard rebalancing process which have been fixed in this release, such as rebalancing shards to a newly joined node before knowing what shards the node already holds (#14591), making rebalancing decisions before the cluster reaches green status (#14678), or ignoring constraints such as the cluster_concurrent_rebalance setting when changing shard awareness settings (#14259).

We have made a number of enhancements which, though small, will improve your experience with Elasticsearch:

Please download Elasticsearch 2.1.0, try it out, and let us know what you think on Twitter (@elastic) or in our forum. You can report any problems on the GitHub issues page.