The following examples are intended to show how to use playground components and how they can be combined to build larger systems.
They are grouped by categories to help discovery of appropriate examples from different viewpoints.
Note: There is not a separate section for the VSS data model because the vast majority of the examples will be making use of it.
Name | Relationship to the category |
---|---|
Docker sanity test | Simple sanity test for the Playground Docker deployment |
Hello-world | Simple “hello-world” example |
Topic examples: Data Reduction, Data Quality, Events, Data Streams etc.
Name | Relationship to the category |
---|---|
vehicle-speed-downsample-iotdb | Accurately down-sample a timeseries of pre-recorded high frequency VSS Vehicle.Speed data using the IoTDB Data Quality Library |
Tip: well you wait for more examples consider how you could use the IoTDB data processing functions.
Topic examples: Knowledge Layer Connector, Data Layer Connector etc.
Topic examples: Virtual signal platforms, VISSR etc.
Name | Relationship to the category |
---|---|
RemotiveLabs feeder | Example bridge that streams vehicle data from the RemotiveLabs cloud platform into the IoTDB data store |
Topic examples: Low level vehicle abstraction, Mobile devices, Car2Cloud / Cloud etc.
Topic examples: vsome/ip (SOME/IP), uServices, Vehicle API, VISS etc.
Topic examples: Apache IoTDB, MongoDB Realm, Redis/SQLite/memcache etc.
Name | Relationship to the category |
---|---|
vehicle-speed-downsample-iotdb | Using the IoTDB Data Quality Library for advanced (VSS) timeseries data processing |
RemotiveLabs feeder | Example of streaming (writing) southbound (VSS) timeseries data into IoTDB |
Topic examples: vsome/ip (SOME/IP), VISS, uServices/uProtocol/Capabilities, Vehicle API, MQTT, Kafka, Apache Zeppelin etc.
Topic examples: Hadoop, Flink, Spark, Cloud DB, Nifi etc.
Topics that do not fit into the groups above.