DeviceHive turns any connected device into the part of Internet of Things. It provides the communication layer, control software and multi-platform libraries to bootstrap development of smart energy, home automation, remote sensing, telemetry, remote control and monitoring software and much more.
Connect embedded Linux using Python, Node.js or Java libraries and JSON format. Write and read your data via REST, Websockets or MQTT, explore visualization on Grafana charts.
Develop client applications using HTML5/JavaScript and Android libraries. Leave communications to DeviceHive and focus on actual product and innovation.
DeviceHive is developed by DataArt Apps and distributed under Open Source Apache 2.0. This basically means you can do whatever you want with the software as long as the copyright notice is included. This also means you don't have to contribute the end product or modified sources back to Open Source, but if you feel like sharing, you are highly encouraged to do so!
© Copyright 2013-2017 DataArt Apps © All Rights Reserved
DeviceHive could be deployed manually, via Docker Compose or to Kubernetes cluster. Our suggestion is to start from Docker Compose - the easiest way to start your mastering DeviceHive capabilities. Instructions could be found here. In case you're more familiar with Kubernetes, please follow this link for detailed instructions.
Though docker-compose installation is the most developer-friendly way of running DeviceHive locally, sometimes it's required to build and start project manually. Below you can find detailed instructions on that.
In order to use DeviceHive framework you must have the following components installed and configured:
- PostgreSQL 9.1 or above.
- Apache Kafka 0.10.0.0 or above.
- DeviceHive Websocket Proxy running (relies on Kafka, so should be started only when Kafka is up and running).
- Hazelcast IMDG.
- Oracle JDK 8 or OpenJDK 8.
- Maven.
- DeviceHiveJava source files. This is the main part of the DeviceHive framework.
Download source code from GitHub using "Download ZIP" button. It should always point to recent stable or beta release, but you always can get any other tag or branch. It also can be done using one of Git version control client or git command line tool. If you prefer git, clone project using command
git clone https://github.com/devicehive/devicehive-java-server.git
After that you can switch to the tag or branch you need. The list of all available releases can be found at https://github.com/devicehive/devicehive-java-server/releases. Execute following command from ${devicehive-java-server-directory}.
mvn clean package
If there are no errors, compilation and packaging are completed and you can go to the next step.
Start Zookeeper and Apache Kafka brokers as explained at official documentation (http://kafka.apache.org/documentation.html#quickstart
).
If your Kafka brokers are installed on the different machines, please specify their hostname/ports at app.properties file.
You need to update zookeeper.connect (zookeeper's contact point) and bootstrap.servers (list of brokers) properties.
To start, download Hazelcast IMDG 3.8.1 from official site (https://hazelcast.org/download/
), extract to local drive and create in Hazelcast bin folder file hzstart.sh with following contents:
export JAVA_OPTS="$JAVA_OPTS -cp /path/to/jar/from/devicehive-hazelcast/devicehive-common-<version>-shade.jar:/path/to/HAZELCAST_HOME/lib/hazelcast-all-3.8.1.jar"
./start.sh
Replace
<serialization>
<portable-version>0</portable-version>
</serialization>
with
<serialization>
<portable-version>0</portable-version>
<portable-factories>
<portable-factory factory-id="1">com.devicehive.model.DevicePortableFactory</portable-factory>
</portable-factories>
</serialization>
in hazelcast.xml localted in bin folder of hazelcast. Also replace all the map and and multimap sections of hazelcast.xml with:
<map name="default">
<eviction-policy>LRU</eviction-policy>
</map>
<map name="NOTIFICATIONS-MAP">
<time-to-live-seconds>120</time-to-live-seconds>
</map>
<map name="COMMANDS-MAP">
<time-to-live-seconds>120</time-to-live-seconds>
</map>
<multimap name="default">
<backup-count>0</backup-count>
<async-backup-count>1</async-backup-count>
<value-collection-type>SET</value-collection-type>
</multimap>
Run hzstart.sh.
- After you have downloaded and installed PostgreSQL (see https://wiki.postgresql.org/wiki/Detailed_installation_guides)
you have to create new user. This step is required for database migrations to work properly. By default, DH expects that
the username is
postgres
and the password is12345
. You can change this in the DH configuration files. - Create database with the name
devicehive
using user that have been created at step 1. This user should be owner of database. - Database schema will be initialized on application startup.
Each microservice has its own src/main/resources/application.properties
file which contains all application-level
configurations (db credentials, hazelcast address, kafka props etc.). Please check them before building application in
order to avoid problems at runtime.
You can also override these values by passing them to JVM while running java -Dapplication.property.name=application.property.name -jar
.
For example:
java -Dhazelcast.cluster.members=0.0.0.1:5701 -jar ${devicehive-jar}.jar
java -Dbootstrap.servers=0.0.0.1:9092 -jar ${devicehive-jar}.jar
java -Dproxy.connect=0.0.0.1:3000 -jar ${devicehive-jar}.jar
DB connection properties are managed inside devicehive-rdbms-dao/src/main/resources/application-persistence.properties
.
To override them do the same:
java -Dspring.datasource.url=jdbc:postgresql://0.0.0.1:5432/devicehive -jar ${devicehive-jar}.jar
java -Dspring.datasource.username=test -Dspring.datasource.password=test -jar ${devicehive-jar}.jar
DeviceHive ecosystem contains of 3 mandatory and 1 optional services, namely Backend, Frontend, Auth and Plugin management (optional) micro services.
- To start application, first run following command:
java -jar ${devicehive-java-server-directory}/devicehive-backend/target/devicehive-backend-<version>-boot.jar
This will start Backend. Wait for the application to start, then run:
java -jar ${devicehive-java-server-directory}/devicehive-frontend/target/devicehive-frontend-<version>-boot.jar
and
java -jar ${devicehive-java-server-directory}/devicehive-auth/target/devicehive-auth-<version>-boot.jar
This will start embedded undertow application server on default port 8080 and deploy DeviceHive application.
You can visit http://localhost:8080/dh/swagger
from your web browser to start learning the frontend's APIs.
Also you can visit http://localhost:8090/dh/swagger
from your web browser to start learning the auth's APIs.
For devicehive-frontend and devicehive-backend logging level can be changed by adding the following properties to the command above:
-Droot.log.level=value1 -Dcom.devicehive.log.level=value2
The values can be: TRACE, DEBUG, INFO, WARN, ERROR. If the properties are absent the default values will be used. For devicehive-frontend and devicehive-auth default values for value1 and value2 are WARN and INFO correspondingly. For devicehive-backend the default value for both is INFO.
There's one optional service inside DeviceHive ecosystem - Plugin Management service. It allows to register and to update DeviceHive plugins (that allow customers to implement their own business logic without diving into DeviceHive source code) via RESTful API.
To start it simply run following command:
java -jar ${devicehive-java-server-directory}/devicehive-plugin/target/devicehive-plugin-<version>-boot.jar
Service will be started on 8110 port by default, so you can visit its swagger at http://localhost:8110/dh/swagger