6.3 KiB
Troubleshooting guide
CLI unresponsive - localhost vs 127.0.0.1
On certain Linux distributions the name localhost
maps to an IPv6 alias meaning that the CLI may hang. In these circumstances you have two options:
- Use the
-g
or--gateway
argument with127.0.0.1
This forces IPv4.
- Edit the
/etc/hosts
file on your machine and remove the IPv6 alias for localhost.
Timeouts
Default timeouts are configured at the HTTP level and must be set both on the gateway and the function.
Note: all distributed systems need a maximum timeout value to be configured for work. This means that work cannot be unbounded.
Timeouts - Your function
You can also enforce a hard-timeout for your function with the hard_timeout
environmental variable.
For watchdog configuration see the README.
The best way to set the timeout is in the YAML file generated by the faas-cli
.
Example Go app that sleeps for (10 seconds):
provider:
name: faas
gateway: http://localhost:8080
functions:
sleepygo:
lang: go
handler: ./sleepygo
image: alexellis2/sleeps-for-10-seconds
environment:
read_timeout: 20
write_timeout: 20
handler.go
package function
...
func Handle(req []byte) string {
time.Sleep(time.Second * 10)
return fmt.Sprintf("Hello, Go. You said: %s", string(req))
}
Timeouts - Gateway
For the gateway set the following environmental variables:
read_timeout: 30
write_timeout: 30
The default for both is "8" - seconds. In the example above "30" means 30 seconds.
Timeouts - Function provider
If on Kubernetes and Swarm you should set a matching timeout for the faas-netesd or faas-swarm controller matching that of the gateway.
read_timeout: 30
write_timeout: 30
Timeouts - Asynchronous invocations
For asynchronous invocations of functions a separate timeout can be configured at the queue-worker
level in the ack_timeout
environmental variable.
If the ack_timeout
is exceeded the task will not be acknowledge and the queue system will retry the invocation.
Function execution logs
By default the functions will not log out the result, but just show how long the process took to run and the length of the result in bytes.
$ echo test this | faas invoke json-hook -g localhost:31112
Received JSON webook. Elements: 10
$ kubectl logs deploy/json-hook -n openfaas-fn
2018/01/28 20:47:21 Writing lock-file to: /tmp/.lock
2018/01/28 20:47:27 Forking fprocess.
2018/01/28 20:47:27 Wrote 35 Bytes - Duration: 0.001844 seconds
If you want to see the result of a function in the function's logs then deploy it with the write_debug
environmental variable set to true
.
For example:
provider:
name: faas
gateway: http://localhost:8080
functions:
json-hook:
lang: go
handler: ./json-hook
image: json-hook
environment:
write_debug: true
Now you'll see logs like this:
$ echo test this | faas invoke json-hook -g localhost:31112
Received JSON webook. Elements: 10
$ kubectl logs deploy/json-hook -n openfaas-fn
2018/01/28 20:50:27 Writing lock-file to: /tmp/.lock
2018/01/28 20:50:35 Forking fprocess.
2018/01/28 20:50:35 Query
2018/01/28 20:50:35 Path /function/json-hook
Received JSON webook. Elements: 10
2018/01/28 20:50:35 Duration: 0.001857 seconds
You can then find the logs of the function using Docker Swarm or Kubernetes as listed in the section below.
Healthcheck
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:
Checklist:
- All core services are deployed: i.e. gateway
- Check functions are deployed and started
- Check request isn't timing out at the gateway or the function level
Troubleshooting Swarm or Kubernetes
Docker Swarm
List all functions
$ docker service ls
You are looking for 1/1 for the replica count of each service listed.
Find a function's logs
$ docker service logs --tail 100 FUNCTION
Find out if a function failed to start
$ docker service ps --no-trunc=true FUNCTION
Stop and remove OpenFaaS
$ docker stack rm func
If you have additional services / functions remove the remaining ones like this:
$ docker service ls -q | xargs docker service rm
Use with caution
Kubernetes
List all functions
$ kubectl get deploy
Find a function's logs
$ kubectl logs deploy/FUNCTION
Find out if a function failed to start
$ kubectl describe deploy/FUNCTION
Remove the OpenFaaS deployment
$ git clone https://github.com/openfaas/faas-netes/ && \
cd faas-netes && \
kubectl delete -f ./yaml/
Watchdog
Debug your function without deploying it
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:
$ docker run --name debug-alpine \
-p 8081:8080 -ti functions/alpine:latest sh
# fprocess=date fwatchdog &
Now you can access the function with one of the supported HTTP methods such as GET/POST etc:
$ curl -4 localhost:8081
Edit your function without rebuilding it
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.
Within the CLI directory for instance:
Build the samples:
$ git clone https://github.com/openfaas/faas-cli && \
cd faas-cli
$ faas-cli -action build -f ./samples.yml
Now work with the Python-hello sample, with the code mounted live:
$ docker run -v `pwd`/sample/url-ping/:/root/function/ \
--name debug-alpine -p 8081:8080 -ti alexellis/faas-url-ping sh
$ touch ./function/__init__.py
# fwatchdog
Now you can start editing the code in the sample/url-ping folder and it will reload live for every request.
$ curl localhost:8081 -d "https://www.google.com"
Handle this -> https://www.google.com
https://www.google.com => 200
Now you can edit handler.py and you'll see the change immediately:
$ echo "def handle(req):" > sample/url-ping/handler.py
$ echo ' print("Nothing to see here")' >> sample/url-ping/handler.py
$ curl localhost:8081 -d "https://www.google.com"
Nothing to see here