14.1. Installing GeoMesa HBase

Note

GeoMesa currently supports HBase versions 1.4.x and 2.2.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.

14.1.1. 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 from GitHub.

Note

In the following examples, replace ${TAG} with the corresponding GeoMesa version (e.g. 3.3.0), and ${VERSION} with the appropriate Scala plus GeoMesa versions (e.g. 2.12-3.3.0).

Extract it somewhere convenient:

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

14.1.2. 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.

14.1.3. Installing the GeoMesa Distributed Runtime JAR

GeoMesa uses custom HBase filters and coprocessors to speed up queries. There are two distributed runtime JARs provided by GeoMesa, one for HBase 1.x and one for HBase 2.x.

Warning

Make sure that you use the correct GeoMesa distributed JAR for your HBase version

You must deploy the distributed runtime jar to the directory specified by the HBase configuration variable 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 ${GEOMESA_HBASE_HOME}/dist/hbase/geomesa-hbase-distributed-runtime-hbase2_${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 ${GEOMESA_HBASE_HOME}/dist/hbase/geomesa-hbase-distributed-runtime-hbase2_${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.

14.1.3.1. 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.

14.1.4. Setting up the HBase Command Line Tools

Warning

To use the HBase data store with the command line tools, you need to install the distributed runtime first. See Installing the GeoMesa Distributed Runtime JAR.

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

GeoMesa requires java to be available on the default path.

14.1.4.1. Configuring the Classpath

GeoMesa needs HBase and Hadoop JARs on the classpath. These are not bundled by default, as they should match the versions installed on the target system.

If the environment variables HBASE_HOME and HADOOP_HOME are set, then GeoMesa will load the appropriate JARs and configuration files from those locations and no further configuration is required. Otherwise, you will be prompted to download the appropriate JARs the first time you invoke the tools. Environment variables can be specified in conf/*-env.sh and dependency versions can be specified in conf/dependencies.sh.

For advanced scenarios, the environmental variables GEOMESA_HADOOP_CLASSPATH and GEOMESA_HBASE_CLASSPATH can be set to override all other logic.

If no environment 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. Note that this can be slow, so it is usually better to use GEOMESA_HADOOP_CLASSPATH and GEOMESA_HBASE_CLASSPATH as described above.

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"

In order to run map/reduce and Spark jobs, you will need to put hbase-site.xml into a JAR on the distributed classpath. Add it at the root level of the geomesa-hbase-datastore JAR in the lib folder:

$ zip -r lib/geomesa-hbase-datastore_${VERSION}.jar hbase-site.xml

Warning

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

GeoMesa also provides the ability to add additional JARs to 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.

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

$ ./bin/install-shapefile-support.sh

For logging, see Logging Configuration for information about configuring the SLF4J implementation.

Use the geomesa-hbase classpath command to print the final classpath that will be used when executing GeoMesa commands.

14.1.4.2. Configuring the Path

In order to be able to run the geomesa-hbase command from anywhere, you can set the environment variable GEOMESA_HBASE_HOME and add it to your path by modifying your bashrc file:

$ echo 'export GEOMESA_HBASE_HOME=/path/to/geomesa-hbase_${VERSION}' >> ~/.bashrc
$ echo 'export PATH=${GEOMESA_HBASE_HOME}/bin:$PATH' >> ~/.bashrc
$ source ~/.bashrc
$ which geomesa-hbae
/path/to/geomesa-hbase_${VERSION}/bin/geomesa-hbase

14.1.4.3. Running Commands

Test the command that invokes the GeoMesa Tools:

$ geomesa-hbase
Usage: geomesa-hbase [command] [command options]
  Commands:
  ...

For details on the available commands, see HBase Command-Line Tools.

14.1.5. Installing GeoMesa HBase in GeoServer

Warning

See GeoServer Versions to ensure that GeoServer is compatible with your GeoMesa version.

The HBase GeoServer plugin is bundled by default in a GeoMesa binary distribution. To install, extract $GEOMESA_HBASE_HOME/dist/gs-plugins/geomesa-hbase-gs-plugin_${VERSION}-install.tar.gz into GeoServer’s WEB-INF/lib directory.

This distribution does not include the HBase client, Hadoop or Zookeeper JARs. These JARs can be installed using the bin/install-dependencies.sh script included in the binary distribution. Before running, set the version numbers in conf/dependencies.sh to match your target installation as needed.

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).

The specific JARs needed for some common configurations are listed below:

  • commons-cli-1.2.jar

  • commons-configuration-1.6.jar

  • commons-io-2.5.jar

  • commons-logging-1.1.3.jar

  • hadoop-auth-2.8.5.jar

  • hadoop-common-2.8.5.jar

  • hadoop-hdfs-2.8.5.jar

  • hadoop-hdfs-client-2.8.5.jar

  • hadoop-mapreduce-client-core-2.8.5.jar

  • hbase-client-2.2.3.jar

  • hbase-common-2.2.3.jar

  • hbase-hadoop-compat-2.2.3.jar

  • hbase-mapreduce-2.2.3.jar

  • hbase-protocol-2.2.3.jar

  • hbase-protocol-shaded-2.2.3.jar

  • hbase-shaded-miscellaneous-2.2.1.jar

  • hbase-shaded-netty-2.2.1.jar

  • hbase-shaded-protobuf-2.2.1.jar

  • htrace-core4-4.1.0-incubating.jar

  • metrics-core-2.2.0.jar

  • metrics-core-3.2.6.jar

  • netty-3.6.2.Final.jar

  • netty-all-4.1.48.Final.jar

  • protobuf-java-2.5.0.jar

  • zookeeper-3.4.14.jar

Restart GeoServer after the JARs are installed.

14.1.6. 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. In order to run Spark or Map/Reduce jobs, ensure that hbase-site.xml is zipped into a JAR, as described above.

14.1.7. 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-hbase1-$VERSION.jar /hbase/lib/