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[geomesa-users] GeoMesa 1.3.2 released!
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Hi all,
It is my pleasure to announce the 1.3.2 version of GeoMesa. You can
read about the release (1) and the 185 tickets closed out (2).
By way of highlights, there are some key improvements to call out:
* GeoMesa's HBase support has received a good bit of attention. GeoMesa
HBase on S3 has been tested out, and it is a great way to use GeoMesa!
Much of the Accumulo processing code has been ported to HBase
coprocessors. This means that making heatmaps and performing
statistical analysis can now be distributed in HBase.
* GeoMesa 1.3.2 includes an 'alpha' version of the Filesystem
DataStore. This lets you skip on having a database and instead interact
with files directly. This is designed to enable gleaning value from
historical archives and leveraging cheaper cloud storage options. For
batch processing, Spark can be used to process volumes of data.
* There is a new 'Lambda' DataStore which allows for sensible update and
persist semantics around SimpleFeatures which update many times before
they are finalized. An example would managing updates to a car's trip
until it is reaches its destination. During the trip, providing 'live'
updates (via Kafka) is useful; at the end of the trip, the data about
the complete trip should be stored in Accumulo.
In addition to the new features and the various bug fixes, with GeoMesa
1.3.2, we've cleaned up some of the GeoMesa 'community projects'. These
are projects which are downstream from LocationTech GeoMesa; their aim
is to help integrate GeoMesa and help with its use. The GitHub for most
of these project is https://github.com/geomesa/. The three main
projects there are GeoMesa-GeoServer, GeoMesa-NiFi, and
GeoMesa-Tutorials. The first two provide integration with GeoServer and
NiFi, respectively; the last project provides tutorial code for a number
of use cases. As a note, none of these projects are related to the
Eclipse Foundation or LocationTech.
The last community project to mention is collaboration with the
GeoDocker project for GeoMesa here
(https://github.com/geodocker/geodocker-geomesa). Big thanks to Austin
for reviewing the project and cleaning up the images available on quay.io.
As always, let us know how the new release works for you. Hope to see
you at FOSS4G in Boston!
Cheers,
Jim
1.
https://geomesa.atlassian.net/wiki/spaces/GEOMESA/pages/63638831/GeoMesa+1.3.2+Release+Notes
2.
https://geomesa.atlassian.net/secure/ReleaseNote.jspa?projectId=10000&version=13900
