Open eskuai opened 4 years ago
@eskuai , Can you provide a real world use case for what you are trying to accomplish?
Hello @mminella
We need to get a lot of info from different sources (for examples, google ads, facebook, adobe analitys, etc...) and apply use cases as generating reports, writing data into hdfs for machine learning, analitycs, and more ...
Use case brief:
This use case, running daily, it spends 13 hours to finish. running in a simple task. Slow networking, slow writing temp files, etc..
POC to do:
We need to launch some group of task running parallel. applying the same code using parameters (accounts id) Some task( or thinking as account google ads entity, can be relaunched after a "upgrade info" acoount process) Then, we expect, running in parallel to reduce time to finish , launching:
Then, some task could be restarted ... or not ... And, another corner case:
Tx
Enhancement description: As a user, I want to launch the same task, running n times of instances/pods. All of them run independently.
I think that it is the k8s model
parallel Jobs with a work queue
: k8s Parallel JobsSolution description: It could be a new screen, "deploy task defininition" including values for generic deployer, as memory, cpu and --count-- and i check select job name with "count" value
Now, we can do task on k8s with meaning "Parallel Jobs with a work queue"
Description of alternatives:
Deployer on k8s should be upgrade to generate pod applying parallelism and concurrencypolicy.
Additional context: Add any other context or explanation about the feature request here.