I'm prototyping with Flink SQL. I'm iterating on a client job with multiple INSERT INTOs. Whenever I have an error, my Kubernetes job retries. This creates multiple stream jobs with the same names.
Is it up to clients to delete the existing jobs? I see Flink CLI functions for this. Do most people usually do this from inside their client jar or their wrapper code (e.g. Kubernetes job). - Dan |
I've read the following upgrade application page. This seems to focus on doing this in a wrapper layer (e.g. Kubernetes). Just checking to see if this is the common practice or do people do this from their client jars. On Sun, Sep 20, 2020 at 5:13 PM Dan Hill <[hidden email]> wrote:
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Hi Dan, First, I want to get more information about your submission so that we could make the question clear. Are you using TableEnvironment to execute multiple "INSERT INTO" sentences and find that each one will be executed in a separated Flink cluster? It is really strange, and I want to know how your are deploying your Flink cluster on Kubernetes, via standalone[1] or native integration[2]. If it is the former, I am afraid you need `kubectl` to start/stop your Flink application manually. If it is the latter, I think the Flink cluster will be destroyed automatically when the Flink job failed. Also all the SQL jobs will be executed in a shared Flink application. Best, Yang Dan Hill <[hidden email]> 于2020年9月21日周一 上午8:15写道:
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Hi Yang! The multiple "INSERT INTO" jobs all go to the same Flink cluster. I'm using this Helm chart (which looks like the standalone option). I deploy the job using a simple k8 Job. Sounds like I should do this myself. Thanks! Thanks! - Dan On Tue, Sep 22, 2020 at 5:37 AM Yang Wang <[hidden email]> wrote:
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Hi Dan, If you are using a K8s job to deploy the "INSERT INTO" SQL jobs into the existing Flink cluster, then you have to manage the lifecycle of these jobs by yourself. I think you could use flink command line or rest API to check the job status first. Best, Yang Dan Hill <[hidden email]> 于2020年9月23日周三 上午8:07写道:
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