Hi Joel, happy to help! Do you see any output in your console when starting the custom stream? It should give you a message that the connection to Kafka is successful. Are you providing the SP_DEBUG variable for local development to override the Kafka settings to a localhost/9094 combination? It would be also interesting to know if there are any events displayed when you switch to the pipelines view and navigate to the monitoring tab (the search icon in the pipeline view).
Regarding deployment, if you want to use Docker, you can build your service with streams and processors with the provided Dockerfile and, e.g., attach it to the docker-compose of the installer. You can also run it standalone, but make sure to attach your service to the spnet Docker network. Cheers, Dominik From: Joel Oliveira <[email protected]> Sent: Sunday, April 17, 2022 12:11 PM To: [email protected] Subject: [Stream Development] Hi I am using StreamPipes version 0.69.0, Windows 10 Pro. I am trying to build a custom Data Stream. I started by following the tutorial skeleton. I have already developed the code for the data streaming. When I run it, still in IntelIj environment, I can install it without any problem. However, when I try to use it to build a pipeline, the data published seems to never reach the Streampipes application, as you can see in the example attached, both the numerical filters are equally configured ("value", "<", "10"). I changed the maven skeleton processor so that it makes no operation. Output is the same as the input. The stream I developed, shows no data, and cannot send it to any pipeline elements. However, when I connect it with the skeleton processor, the data can flow. Any hints on this? The consul gives no errors (printscreen attached). I have also attached my startup function and the thread executed as the stream. Also, after developing the elements, I am not sure how the streampipes add command works, to add the service fully functional to the streampipes environment. It would be very helpfull if you could clarify it. Regards, Joel Oliveira
