Today we are pleased to announce the release of Elasticsearch 2.1.0 based on Lucene 5.3.1 and a bug fix release of Elasticsearch 2.0.1.
Latest stable release:
Bug fixes in 2.0:
If you can't wait to get your hands on the new, shiny goodness…we understand. Get on with downloading the latest and greatest, or spin up a cluster on Found — the only hosted Elasticsearch service built and supported by the people building the software.
Elasticsearch 2.1.0 adds some great new features and has a number of important enhancements:
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.
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
aggs calculate a number of statistics such as the
std_deviation, while the
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
rebalancing decisions before the cluster reaches
(#14678), or ignoring
constraints such as the
cluster_concurrent_rebalance setting when changing
shard awareness settings
We have made a number of enhancements which, though small, will improve your experience with Elasticsearch:
- We have a placed a soft limit on the maximum number of results (default 10,000) that can be requested in any single search request. (#13188) This will protect the sysadmin from users who request the top billion results… just in case.
An update request will, by default, only write a new version of the document if the
_sourcehas actually changed. (#11306)
scansearch types have been replaced by searching with
0(#14165) and sorting by