10.1. Installing GeoMesa HBase


GeoMesa currently supports HBase version 1.3.x or 1.4.x.

GeoMesa supports traditional HBase installations as well as HBase running on Amazon’s EMR , Hortonworks’ Data Platform (HDP), and the Cloudera Distribution of Hadoop (CDH). For details on bootstrapping an EMR cluster, see Bootstrapping GeoMesa HBase on AWS S3. For details on deploying to Cloudera CDH, see Deploying GeoMesa HBase on Cloudera CDH 5.X.

10.1.1. Installing the Binary Distribution

GeoMesa HBase artifacts are available for download or can be built from source. The easiest way to get started is to download the most recent binary version (2.3.2) from GitHub.

Extract it somewhere convenient:

# download and unpackage the most recent distribution:
$ wget "https://github.com/locationtech/geomesa/releases/download/geomesa_2.11-$VERSION/geomesa-hbase_2.11-$VERSION-bin.tar.gz"
$ tar xvf geomesa-hbase_2.11-$VERSION-bin.tar.gz
$ cd geomesa-hbase_2.11-$VERSION
$ ls
bin/  conf/  dist/  docs/  examples/  lib/  LICENSE.txt  logs/

10.1.2. Building from Source

GeoMesa HBase may also be built from source. For more information refer to Building from Source in the developer manual, or to the README.md file in the the source distribution. The remainder of the instructions in this chapter assume the use of the binary GeoMesa HBase distribution. If you have built from source, the distribution is created in the target directory of geomesa-hbase/geomesa-hbase-dist.

More information about developing with GeoMesa may be found in the Developer Manual.

10.1.3. Installing the GeoMesa Distributed Runtime JAR

GeoMesa uses custom HBase filters and coprocessors to speed up queries. In order to use them, you must deploy the distributed runtime jar to the HBase to the directory specified by the HBase configuration variable called hbase.dynamic.jars.dir. This is set to ${hbase.rootdir}/lib by default. Copy the distribute runtime jar to this directory as follows:

hadoop fs -put ${GEOMESA_HBASE_HOME}/dist/hbase/geomesa-hbase-distributed-runtime-$VERSION.jar ${hbase.dynamic.jars.dir}/

If running on top of Amazon S3, you will need to use the aws s3 command line tool.

aws s3 cp ${GEOMESA_HBASE_HOME}/dist/hbase/geomesa-hbase-distributed-runtime-$VERSION.jar s3://${hbase.dynamic.jars.dir}/

If required, you may disable distributed processing by setting the system property geomesa.hbase.remote.filtering to false. Note that this may have an adverse effect on performance. Register the Coprocessors

Assuming that you have installed the distributed runtime JAR under hbase.dynamic.jars.dir, coprocessors will be registered automatically when you call createSchema on a data store. Alternatively, the coprocessors may be registered manually. See Manual Coprocessors Registration for details.

For more information on managing coprocessors see Coprocessor Introduction on Apache’s Blog.

10.1.4. Configuration and Classpaths

GeoMesa HBase requires Hadoop and HBase jars and configuration files to be available on the classpath. This includes files such as the hbase-site.xml and core-site.xml files in addition to standard jars and libraries. Configuring the classpath is important if you plan to use the GeoMesa HBase command line tools to ingest and manage GeoMesa.

By default, GeoMesa HBase will attempt to read various HBase and Hadoop related environmental variables in order to build the classpath. You can configure environment variables and classpath settings in geomesa-hbase_2.11-$VERSION/conf/geomesa-env.sh or in your external env (e.g. bashrc file). The logic GeoMesa uses to determine which external entries to include on the classpath is:

1. If the environmental variables GEOMESA_HADOOP_CLASSPATH and GEOMESA_HBASE_CLASSPATH are set then GeoMesa HBase will use these variables to set the classpath and skip all other logic.

2. Next, if $HBASE_HOME and $HADOOP_HOME are set then GeoMesa HBase will attempt to build the classpath by searching for jar files and configuration in standard locations. Note that this is very specific to the installation or distribution of Hadoop you are using and may not be reliable.

3. If no environmental variables are set but the hbase and hadoop commands are available then GeoMesa will interrogate them for their classpaths by running the hadoop classpath and hbase classpath commands. This method of classpath determination is slow due to the fact that the hbase classpath command forks a new JVM. It is therefore recommended that you set manually set these variables in your environment or the conf/geomesa-env.sh file.

In addition, geomesa-hbase will pull any additional entries from the GEOMESA_EXTRA_CLASSPATHS environment variable.

Note that the GEOMESA_EXTRA_CLASSPATHS, GEOMESA_HADOOP_CLASSPATH, and GEOMESA_HBASE_CLASSPATH variables all follow standard Java Classpath conventions, which generally means that entries must be directories, JAR, or zip files. Individual XML files will be ignored. For example, to add a hbase-site.xml or core-site.xml file to the classpath you must either include a directory on the classpath or add the file to a zip or JAR archive to be included on the classpath.

Use the geomesa classpath command in order to see what JARs are being used.

A few suggested configurations are below:

When using EMR to install HBase or Hadoop there are AWS specific jars that need to be used (e.g. EMR FS). It is recommended to use EMR to install Hadoop and/or HBase in order to properly configure and install these dependencies (especially when using HBase on S3).

If you used EMR to install Hadoop and HBase, you can view their classpaths using the hadoop classpath and hbase classpath commands to build an appropriate classpath to include jars and configuration files for GeoMesa HBase:

export GEOMESA_HADOOP_CLASSPATH=$(hadoop classpath)
export GEOMESA_HBASE_CLASSPATH=$(hbase classpath)
export GEOMESA_HBASE_HOME=/opt/geomesa

Configure GeoMesa to use pre-installed HBase and Hadoop distributions:

export HADOOP_HOME=/path/to/hadoop
export HBASE_HOME=/path/to/hbase
export GEOMESA_HBASE_HOME=/opt/geomesa
export PATH="${PATH}:${GEOMESA_HOME}/bin"

Configure the environment to use an HDP install

export HADOOP_HOME=/usr/hdp/current/hadoop-client/
export HBASE_HOME=/usr/hdp/current/hbase-client/
export GEOMESA_HBASE_HOME=/opt/geomesa

If no HBase or Hadoop distribution is installed, try manually installing the JARs from maven:

export GEOMESA_HBASE_HOME=/opt/geomesa
bin/install-hadoop.sh lib
bin/install-hbase.sh lib

You will also need to provide the hbase-site.xml file within a the GeoMesa conf directory, an external directory, zip, or JAR archive (an entry referencing the XML file directly will not work with the Java classpath).

When creating a zip or jar file, the hbase-site.xml should be at the root level of the archive and not nested within any packages or subfolders. For example:

$ jar tf my.jar
# try this
cp /path/to/hbase-site.xml ${GEOMESA_HBASE_HOME}/conf/

# or this
cd /path/to/hbase-conf-dir
jar cvf conf.jar hbase-site.xml
export GEOMESA_EXTRA_CLASSPATHS=/path/to/confdir:/path/to/conf.zip:/path/to/conf.jar

Due to licensing restrictions, dependencies for shape file support must be separately installed. Do this with the following commands:

$ bin/install-jai.sh
$ bin/install-jline.sh

10.1.5. Setting up the HBase Command Line Tools


To use HBase with the command line tools, you need to install the coprocessors first, as described above.

GeoMesa comes with a set of command line tools for managing HBase features located in geomesa-hbase_2.11-$VERSION/bin/ of the binary distribution.


You can configure environment variables and classpath settings in geomesa-hbase_2.11-$VERSION/conf/geomesa-env.sh.

If desired, you may use the included script bin/geomesa-hbase configure to help set up the environment variables used by the tools. Otherwise, you may invoke the geomesa-hbase script using the fully-qualified path, and use the default configuration.

The tools will read the $HBASE_HOME and $HADOOP_HOME environment variables to load the appropriate JAR files for HBase and Hadoop. If installing on a system without HBase and/or Hadoop, the install-hbase.sh and install-hadoop.sh scripts in the bin directory may be used to download the required HBase and Hadoop JARs into the lib directory. You should edit this script to match the versions used by your installation.


See Logging Configuration for information about configuring the SLF4J implementation.


GeoMesa provides the ability to provide additional jars on the classpath using the environmental variable $GEOMESA_EXTRA_CLASSPATHS. GeoMesa will prepend the contents of this environmental variable to the computed classpath giving it highest precedence in the classpath. Users can provide directories of jar files or individual files using a colon (:) as a delimiter. These entries will also be added the the map-reduce libjars variable. Use the geomesa-hbase classpath command to print the final classpath that will be used when executing geomesa commands.

The tools also need access to the hbase-site.xml for your cluster. If $HBASE_HOME is defined, it will pick it up from there. However, it may not be available for map/reduce jobs. To ensure it’s availability, add it at the root level of the geomesa-hbase-datastore JAR in the lib folder:

$ zip -r lib/geomesa-hbase-datastore_2.11-$VERSION.jar hbase-site.xml


Ensure that the hbase-site.xml is at the root (top) level of your JAR, otherwise it will not be picked up.

Due to licensing restrictions, certain dependencies for shape file support must be separately installed. Do this with the following commands:

$ bin/install-jai.sh
$ bin/install-jline.sh

Test the command that invokes the GeoMesa Tools:

$ bin/geomesa-hbase
INFO  Usage: geomesa-hbase [command] [command options]

For more details, see HBase Command-Line Tools.

10.1.6. Installing GeoMesa HBase in GeoServer


GeoMesa 2.2.x and 2.3.x require GeoServer 2.14.x. GeoMesa 2.1.x and earlier require GeoServer 2.12.x.

The HBase GeoServer plugin is bundled by default in a GeoMesa binary distribution. To install, extract $GEOMESA_HBASE_HOME/dist/gs-plugins/geomesa-hbase-gs-plugin_2.11-$VERSION-install.tar.gz into GeoServer’s WEB-INF/lib directory. Note that this plugin contains a shaded JAR with HBase 1.3.1 bundled. This JAR should work with HBase 1.3.x or 1.4.x.

This distribution does not include the Hadoop or Zookeeper JARs; the following JARs should be copied from the lib directory of your HBase or Hadoop installations into GeoServer’s WEB-INF/lib directory:

(Note the versions may vary depending on your installation.)

  • commons-cli-1.2.jar
  • commons-configuration-1.6.jar
  • commons-io-2.5.jar (you may need to remove an older version from geoserver)
  • commons-logging-1.1.3.jar
  • hadoop-auth-2.7.4.jar
  • hadoop-client-2.7.4.jar
  • hadoop-common-2.7.4.jar
  • hadoop-hdfs-2.7.4.jar
  • htrace-core-3.1.0-incubating.jar
  • metrics-core-2.2.0.jar
  • netty-3.6.2.Final.jar
  • netty-all-4.0.41.Final.jar
  • servlet-api-2.4.jar
  • zookeeper-3.4.10.jar

You can use the bundled $GEOMESA_HBASE_HOME/bin/install-hadoop.sh script to install these JARs.

  • hadoop-annotations.jar
  • hadoop-auth.jar
  • hadoop-common.jar
  • protobuf-java.jar
  • commons-io.jar
  • zookeeper-3.4.10.jar
  • commons-configuration-1.6.jar

The HBase data store requires the configuration file hbase-site.xml to be on the classpath. This can be accomplished by placing the file in geoserver/WEB-INF/classes (you should make the directory if it doesn’t exist). Utilizing a symbolic link will be useful here so any changes are reflected in GeoServer.

ln -s /path/to/hbase-site.xml /path/to/geoserver/WEB-INF/classes/hbase-site.xml
ln -s /usr/hdp/current/hbase-client/hbase-site.xml /path/to/geoserver/WEB-INF/classes/hbase-site.xml

Restart GeoServer after the JARs are installed.

10.1.7. Connecting to External HBase Clusters Backed By S3

To use a EMR cluster to connect to an existing, external HBase Cluster first follow the above instructions to setup the new cluster and install GeoMesa.

The next step is to obtain the hbase-site.xml for the external HBase Cluster, copy to the new EMR cluster and copy it into ${GEOMESA_HBASE_HOME}/conf. At this point you may run the geomesa-hbase command line tools.

If you wish to execute SQL queries using Spark, you must first zip the hbase-site.xml file for the external cluster:

zip hbase-site.zip hbase-site.xml

Then copy the zip file to ${GEOMESA_HBASE_HOME}/conf then add the zipped configuration file to the Spark classpath:

export SPARK_JARS=file:///opt/geomesa/dist/spark/geomesa-hbase-spark-runtime_2.11-${VERSION}.jar,file:///opt/geomesa/conf/hbase-site.zip

Then start up the Spark shell:

spark-shell --jars $SPARK_JARS

10.1.8. Configuring HBase on Azure HDInsight

HDInsight generally creates HBASE_HOME in HDFS under the path /hbase. In order to make the GeoMesa coprocessors and filters available to the region servers, use the hadoop filesystem command to put the GeoMesa JAR there:

hadoop fs -mkdir /hbase/lib
hadoop fs -put geomesa-hbase-distributed-runtime-$VERSION.jar /hbase/lib/