Pipelines Examples Applications
A simple pipeline that processes events from a wind turbine farm.
The same as
sensor-data-scala, but implemented using the Java DSL.
An aggregation of user call record data (metadata of phone calls).
A simple pipeline that generates events from energy devices.
A simple pipeline that generates events from energy devices. This pipeline will fail based on a pre-defined probability percentage. Its purpose is to demonstrate the failure recovery features of Pipelines and Spark.
An event-based e-commerce streaming platform. Events are generated based on user events such as purchases and merchant actions such as the addition of products and their stock numbers.
Pipelines Feature Grid
|Application||Akka Streams (Scala)||Akka Streams (Java)||Spark||Testkit||Ingress||Egress||Auto Data Generation|
||Yes||No||Yes||No||HTTP||stdout (logs)||Yes (Client Lua Script)|
||No||Yes||No||No||HTTP||stdout (logs)||Yes (Client Lua Script)|
||Yes||No||Yes||Yes||HTTP||ElasticSearch, HTTP API||No|
Consult the Pipelines Documentation for instructions on building, deploying and running Pipelines applications.
Before building any examples remember to update the Docker registry in the