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89878f0c8a
Note, not all `alexellis/github` references should be changed, there are a number of repos which are not part of the openfaas org, this commit excludes those. Signed-off-by: John McCabe <john@johnmccabe.net>
147 lines
3.3 KiB
Markdown
147 lines
3.3 KiB
Markdown
# Troubleshooting guide
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## Healthcheck
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Most problems reported via GitHub or Slack stem from a configuration problem or issue with a function. Here is a checklist of things you can try before digging deeper:
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Checklist:
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* [ ] All core services are deployed: i.e. gateway
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* [ ] Check functions are deployed and started
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* [ ] Check request isn't timing out at the gateway or the function level
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## Docker Swarm
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### List all functions
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```
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$ docker service ls
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```
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You are looking for 1/1 for the replica count of each service listed.
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### Find a function's logs
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```
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$ docker service logs --tail 100 FUNCTION
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```
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### Find out if a function failed to start
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```
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$ docker service ps --no-trunc=true FUNCTION
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```
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### Stop and remove OpenFaaS
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```
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$ docker stack rm func
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```
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If you have additional services / functions remove the remaining ones like this:
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```
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$ docker service ls -q | xargs docker service rm
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```
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*Use with caution*
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## Kubernetes
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### List all functions
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```
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$ kubectl get deploy
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```
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### Find a function's logs
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```
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$ kubectl logs deploy/FUNCTION
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```
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### Find out if a function failed to start
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```
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$ kubectl describe deploy/FUNCTION
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```
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### Remove the OpenFaaS deployment
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```
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$ kubectl delete -f faas.yml,monitoring.yml,rbac.yml
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```
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If you're using the async stack remove it this way:
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```
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$ kubectl delete -f faas.async.yml,monitoring.yml,rbac.yml,nats.yml
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```
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## Timeouts
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Default timeouts are configured at the HTTP level for the gateway and watchdog. You can also enforce a hard-timeout for your function.
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For watchdog configuration see the [README](https://github.com/openfaas/faas/tree/master/watchdog).
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For the gateway set the following environmental variables:
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* read_timeout, write_timeout - the default for both is "8" - seconds.
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## Watchdog
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### Debug your function without deploying it
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Here's an example of how you can deploy a function without using an orchestrator and the API gateeway. It is especially useful for testing:
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```
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$ docker run --name debug-alpine \
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-p 8081:8080 -ti functions/alpine:latest sh
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# fprocess=date fwatchdog &
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```
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Now you can access the function with one of the supported HTTP methods such as GET/POST etc:
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```
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$ curl -4 localhost:8081
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```
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### Edit your function without rebuilding it
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You can bind-mount code straight into your function and work with it locally, until you are ready to re-build. This is a common flow with containers, but should be used sparingly.
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Within the CLI directory for instance:
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Build the samples:
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```
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$ git clone https://github.com/openfaas/faas-cli && \
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cd faas-cli
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$ faas-cli -action build -f ./samples.yml
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```
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Now work with the Python-hello sample, with the code mounted live:
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```
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$ docker run -v `pwd`/sample/url-ping/:/root/function/ \
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--name debug-alpine -p 8081:8080 -ti alexellis/faas-url-ping sh
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$ touch ./function/__init__.py
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# fwatchdog
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```
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Now you can start editing the code in the sample/url-ping folder and it will reload live for every request.
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```
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$ curl localhost:8081 -d "https://www.google.com"
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Handle this -> https://www.google.com
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https://www.google.com => 200
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```
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Now you can edit handler.py and you'll see the change immediately:
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```
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$ echo "def handle(req):" > sample/url-ping/handler.py
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$ echo ' print("Nothing to see here")' >> sample/url-ping/handler.py
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$ curl localhost:8081 -d "https://www.google.com"
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Nothing to see here
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```
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