Tue May 14 2019 by Hkube
We want to build a simple pipeline of algorithms.
The first thing we want to do is to add our algorithms to Hkube.
Lets create an algorithm file named algorithm.yml.
name: my-alg image: my-image resources: cpu: 0.5 mem: 512Mi
here we specify the minimum requirements: name, image and resources.
Let's assume that we have a docker image, if you don't, Hkube can build it for you. click here for more details.
There are many ways to interact with Hkube, using the CLI, REST API and UI.
In this example we are using the CLI that works directly with the REST API.
hkubectl algorithm apply --f algorithm.yml
Now we will want to create a pipeline of algorithms.
Lets create our pipeline.yml file.
name: my-pipeline nodes: - nodeName: my-node-1 algorithmName: my-alg input: - "flowInput.urls" - nodeName: my-node-2 algorithmName: my-alg input: - "@my-node-1" - nodeName: my-node-3 algorithmName: my-alg input: - "@my-node-2"
And run it like this.
hkubectl pipeline exec raw --f pipeline.yml
You can also store the pipeline first.
hkubectl pipeline store -f pipeline.yml
And then run it only by name.
hkubectl pipeline exec stored my-pipeline
As a result of executing pipeline, Hkube will return a jobId.
This is a unique identifier which helps to query this specific pipeline execution.
For example: you can stop the pipeline like this.
hkubectl exec stop <jobId> [reason]
You can also track the pipeline status
hkubectl exec status <jobId>
or the pipeline result
hkubectl exec result <jobId>