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 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.Latest release: 5.3.0 - Accumulo | HBase | Cassandra | Kafka | Redis | FileSystem | PostGIS
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_2.12-5.3.0-bin.tar.gz.asc geomesa-accumulo_2.12-5.3.0-bin.tar.gz
The keys currently used for signing are:
Key ID NameCD24F317 Emilio Lahr-Vivaz <elahrvivaz(-at-)ccri.com> 1E679A56 James Hughes <jnh5y(-at-)ccri.com>
GeoMesa is hosted on Maven Central. To include it as a dependency, add the desired modules, for example:
<dependency> <groupId>org.locationtech.geomesa</groupId> <artifactId>geomesa-accumulo-datastore_2.12</artifactId> <version>5.3.0</version> </dependency>
GeoMesa provides a bill-of-materials module, which can simplify version management:
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.locationtech.geomesa</groupId>
<artifactId>geomesa-bom_2.12</artifactId>
<version>5.3.0</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
GeoMesa depends on several third-party libraries that are only available in separate repositories. To include GeoMesa in your project, add the following repositories to your pom:
<repositories>
<!-- geotools -->
<repository>
<id>osgeo</id>
<url>https://repo.osgeo.org/repository/release</url>
</repository>
<!-- confluent -->
<repository>
<id>confluent</id>
<url>https://packages.confluent.io/maven/</url>
</repository>
</repositories>
Snapshot versions are published nightly to the Eclipse repository:
<repository>
<id>geomesa-snapshots</id>
<url>https://repo.eclipse.org/content/repositories/geomesa-snapshots</url>
<releases>
<enabled>false</enabled>
</releases>
<snapshots>
<enabled>true</enabled>
</snapshots>
</repository>
GeoMesa publishes spark-runtime JARs for integration with Spark environments like Databricks. These shaded JARs include all the required dependencies in a single artifact. When importing through Maven, all transitive dependencies can be excluded. There are Spark runtime JARs available for most of the different DataStore implementations:
<dependency>
<groupId>org.locationtech.geomesa</groupId>
<artifactId>geomesa-gt-spark-runtime_2.12</artifactId>
<version>5.3.0</version>
<exclusions>
<exclusion>
<!-- if groupId wildcards are not supported, the two main ones are jline:* and org.geotools:* -->
<groupId>*</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
These JARs are also included in the Downloads bundles, above.
Similarly, integration with sbt is straightforward:
// Add necessary resolvers resolvers ++= Seq( "osgeo" at "https://repo.osgeo.org/repository/release", "confluent" at "https://packages.confluent.io/maven" ) // Select desired modules libraryDependencies ++= Seq( "org.locationtech.geomesa" %% "geomesa-utils" % "5.3.0" )
Requirements:
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 built using Maven. To build, run:
mvn clean install -DskipTests
The full build takes quite a while. To speed it up, you may use multiple threads (-T 1.5C).
To run unit tests, omit the -DskipTests (note: requires docker to be available).
GeoMesa also provides experimental support for the Bloop compile server, which provides fast incremental compilation. To export the GeoMesa build to Bloop, run:
./build/scripts/bloop-export.sh
For more information on using Bloop, refer to the Bloop documentation.
Build with Zinc Compile ServerGeoMesa also provides experimental support for the Zinc compile server, which provides fast incremental compilation. However, please note that Zinc is no longer actively maintained. To use an existing Zinc server, run maven with -Pzinc. GeoMesa provides a helper script at build/mvn, which is a wrapper around Maven that downloads and runs Zinc automatically:
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
To build for a different Scala version (e.g. 2.13), run the following script, then build as normal:
./build/scripts/change-scala-version.sh 2.13
When building on OS X and using Docker Desktop in a non-default configuration, you may need to edit ~/.testcontainers.properties to contain the following:
docker.client.strategy=org.testcontainers.dockerclient.UnixSocketClientProviderStrategy
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