GeoMesa is an open source suite of tools that enables large-scale geospatial querying and analytics on distributed
computing systems. GeoMesa provides spatio-temporal indexing on top of the Accumulo, HBase, Google Bigtable and
Cassandra databases for massive storage of point, line, and polygon data. GeoMesa also provides near real time
stream processing of spatio-temporal data by layering spatial semantics on top of Apache Kafka. Through GeoServer,
GeoMesa facilitates integration with a wide range of existing mapping clients over standard OGC (Open Geospatial
Consortium) APIs and protocols such as WFS and WMS. GeoMesa supports Apache Spark for custom distributed
geospatial analytics.
GeoMesa is a member of the LocationTech working group of the Eclipse Foundation.
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Documentation
Downloads
Current release: 2.4.0
HBase, Accumulo, Cassandra, Kafka, Redis, FileSystem, Bigtable, Source, CheckSums
Development version: 2.5.0-SNAPSHOT
Verifying Downloads
Downloads hosted on GitHub include SHA-256 hashes and gpg signatures (.asc files). To verify a download using gpg,
import the appropriate key:
$ gpg2 --keyserver hkp://pool.sks-keyservers.net --recv-keys CD24F317
Then verify the file:
$ gpg2 --verify geomesa-accumulo_2.11-2.4.0-bin.tar.gz.asc geomesa-accumulo_2.11-2.4.0-bin.tar.gz
The keys currently used for signing are:, Key ID, Name, ------, ----, CD24F317, Emilio Lahr-Vivaz <elahrvivaz(-at-)ccri.com>, 1E679A56, James Hughes <jnh5y(-at-)ccri.com>, ### Upgrading
To upgrade between minor releases of GeoMesa, the versions of all GeoMesa components must match.
This means that the version of the geomesa-accumulo-distributed-runtime JAR installed on Accumulo
tablet servers must match the version of the geomesa-accumulo-gs-plugin JAR installed in the WEB-INF/lib
directory of GeoServer.
See the Upgrade Guide for information on specific version updates.
Maven Integration
GeoMesa is now hosted on Maven Central. However, it still depends on several third-party libraries only available
in other repositories. To include GeoMesa in your project, add the following repositories to your pom:
<repositories>
<repository>
<id>boundlessgeo</id>
<url>https://repo.boundlessgeo.com/main</url>
</repository>
<repository>
<id>osgeo</id>
<url>https://download.osgeo.org/webdav/geotools</url>
</repository>
<repository>
<id>confluent</id>
<url>https://packages.confluent.io/maven/</url>
</repository>
</repositories>
and then include the desired geomesa-* dependencies:
<dependency>
<groupId>org.locationtech.geomesa</groupId>
<artifactId>geomesa-utils_2.11</artifactId>
<version>2.4.0</version>
</dependency>
...
To download from the LocationTech Maven repository (required for older versions), add:
<repository>
<id>locationtech-releases</id>
<url>https://repo.locationtech.org/content/groups/releases</url>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
For snapshot integration, add:
<repository>
<id>geomesa-snapshots</id>
<url>https://repo.locationtech.org/content/repositories/geomesa-snapshots</url>
<releases>
<enabled>false</enabled>
</releases>
<snapshots>
<enabled>true</enabled>
</snapshots>
</repository>
sbt Integration
Similarly, integration with sbt is straightforward:
// Add necessary resolvers
resolvers ++= Seq(
"locationtech-releases" at "https://repo.locationtech.org/content/groups/releases",
"boundlessgeo" at "https://repo.boundlessgeo.com/main",
"osgeo" at "https://download.osgeo.org/webdav/geotools",
"confluent" at "https://packages.confluent.io/maven"
)
// Select desired modules
libraryDependencies ++= Seq(
"org.locationtech.geomesa" %% "geomesa-utils" % "2.4.0",
...
)
Building from Source
Requirements:
- Git
- Java JDK 8
- Apache Maven 3.3.9 or later
Use Git to download the source code. Navigate to the destination directory, then run:
git clone git@github.com:locationtech/geomesa.git
cd geomesa
The project is managed by Maven. To build, run:
mvn clean install
The full build takes quite a while. To speed it up, you may skip tests and use multiple threads. GeoMesa also
provides the script build/mvn, which is a wrapper around Maven that downloads and runs
Zinc, a fast incremental compiler:
build/mvn clean install -T8 -DskipTests
If the Zinc build fails with an error finding "javac", try setting the JAVA_HOME
environment variable to point to the root of your JDK. Example from a Mac:
JAVA_HOME="/Library/Java/JavaVirtualMachines/jdk1.8.0_51.jdk/Contents/Home" build/mvn clean install