Fn is a lightweight Docker-based serverless functions platform you can run on your laptop, server, or cloud. In this introductory tutorial we'll walk through developing a function using the Go programming language (without installing any Go tools!) and deploying that function to a local Fn server. We'll also learn about the core Fn concepts like applications and triggers.
- Set aside about 15 minutes to complete this tutorial.
- Make sure Fn server is up and running by completing the Install and Start Fn Tutorial.
- Make sure you have set your Fn context registry value for local development. (for example, "fndemouser". See here.)
As you make your way through this tutorial, look out for this icon. Whenever you see it, it's time for you to perform an action.
Now that Fn is up and running, let's start with a very simple "hello world" function written in Go. Don't worry, you don't need to know Go! In fact you don't even need to have Go installed on your development machine as Fn provides the necessary Go compiler and tools as a Docker container. Let's walk through your first function to become familiar with the process and how Fn supports development.
In the terminal type the following:
fn init --runtime go gofn
The output will be
Creating function at: ./gofn
Function boilerplate generated.
func.yaml created.
The fn init
command creates an simple function with a bit of boilerplate to
get you started. The --runtime
option is used to indicate that the function
we're going to develop will be written in Go. A number of other runtimes are
also supported. Fn creates the simple function along with several supporting files in the /gofn
directory.
With your function created change into the /gofn
directory.
cd gofn
Now get a list of the directory contents.
ls
func.go func.yaml go.mod
The func.go
file which contains your actual Go function is generated along
with several supporting files. To view your Go function type:
cat func.go
package main
import (
"context"
"encoding/json"
"fmt"
"io"
fdk "github.com/fnproject/fdk-go"
)
func main() {
fdk.Handle(fdk.HandlerFunc(myHandler))
}
type Person struct {
Name string `json:"name"`
}
func myHandler(ctx context.Context, in io.Reader, out io.Writer) {
p := &Person{Name: "World"}
json.NewDecoder(in).Decode(p)
msg := struct {
Msg string `json:"message"`
}{
Msg: fmt.Sprintf("Hello %s", p.Name),
}
json.NewEncoder(out).Encode(&msg)
}
This function looks for JSON input in the form of {"name": "Bob"}
. If this
JSON example is passed to the function, the function returns {"message":"Hello Bob"}
. If no JSON data is found, the function returns {"message":"Hello World"}
.
The fn init
command generated a func.yaml
function
configuration file. Let's look at the contents:
cat func.yaml
schema_version: 20180708
name: gofn
version: 0.0.1
runtime: go
entrypoint: ./func
The generated func.yaml
file contains metadata about your function and
declares a number of properties including:
- schema_version--identifies the version of the schema for this function file. Essentially, it determines which fields are present in
func.yaml
. - name--the name of the function. Matches the directory name.
- version--automatically starting at 0.0.1
- runtime--the name of the runtime/language which was set based on the value set
in
--runtime
. - entrypoint--the name of the executable to invoke when your function is called,
in this case
./func
There are other user specifiable properties but these will suffice for this example. Note that the name of your function is taken from the containing folder name. We'll see this come into play later on.
The fn init
command generated one other file.
go.mod
-- the Go modules file which specifies all the dependencies for your function.
With the gofn
directory containing func.go
and func.yaml
you've got
everything you need to deploy the function to Fn server. This server could be
running in the cloud, in your datacenter, or on your local machine like we're
doing here.
Make sure your context is set to default and you are using a demo user. Use the fn list contexts
command to check.
fn list contexts
CURRENT NAME PROVIDER API URL REGISTRY
* default default http://localhost:8080 fndemouser
If your context is not configured, please see the context installation instructions before proceeding. Your context determines where your function is deployed.
Next, functions are grouped together into an application. The application acts as the main organizing structure for multiple functions. To create an application type the following:
fn create app goapp
A confirmation is returned:
Successfully created app: goapp
Now goapp
is ready for functions to be deployed to it.
Deploying your function is how you publish your function and make it accessible
to other users and systems. To see the details of what is happening during a
function deploy, use the --verbose
switch. The first time you build a
function of a particular language it takes longer as Fn downloads the necessary
Docker images. The --verbose
option allows you to see this process.
In your terminal type the following:
fn --verbose deploy --app goapp --local
You should see output similar to:
Deploying gofn to app: goapp
Bumped to version 0.0.2
Building image fndemouser/gofn:0.0.2
FN_REGISTRY: fndemouser
Current Context: default
Sending build context to Docker daemon 5.12kB
Step 1/10 : FROM fnproject/go:dev as build-stage
---> 96c8fb94a8e1
Step 2/10 : WORKDIR /function
---> Using cache
---> bee171e861d4
Step 3/10 : WORKDIR /go/src/func/
---> Using cache
---> d0102d3148a1
Step 4/10 : ENV GO111MODULE=on
---> Using cache
---> 22ecbf50c559
Step 5/10 : COPY . .
---> 0a2992d2d99a
Step 6/10 : RUN cd /go/src/func/ && go build -o func
---> Running in e480baa937d4
go: finding github.com/fnproject/fdk-go latest
go: downloading github.com/fnproject/fdk-go v0.0.0-20190716163646-1458ca84e01d
Removing intermediate container e480baa937d4
---> d8cc615e1e64
Step 7/10 : FROM fnproject/go
---> bc635796c9df
Step 8/10 : WORKDIR /function
---> Using cache
---> b853b5d6b840
Step 9/10 : COPY --from=build-stage /go/src/func/func /function/
---> Using cache
---> ee3af55a0670
Step 10/10 : ENTRYPOINT ["./func"]
---> Using cache
---> 3e41594de5c8
Successfully built 3e41594de5c8
Successfully tagged fndemouser/gofn:0.0.2
Updating function gofn using image fndemouser/gofn:0.0.2...
Successfully created function: gofn with fndemouser/gofn:0.0.2
All the steps to load the current language Docker image are displayed.
Specifying --app goapp
explicitly puts the function in the application goapp
.
Specifying --local
does the deployment to the local server but does
not push the function image to a Docker registry--which would be necessary if
we were deploying to a remote Fn server.
The output message Updating function gofn using image fndemouser/gofn:0.0.2...
let's us know that the function is packaged in the image
fndemouser/gofn:0.0.2
.
Note that the containing folder name gofn
was used as the name of the
generated Docker container and used as the name of the function that container
was bound to.
Normally you deploy an application without the --verbose
option. If you rerun the command a new image and version is created and loaded.
There are two ways to call your deployed function.
The first is using the Fn CLI which makes invoking your function relatively easy. Type the following:
fn invoke goapp gofn
which results in:
{"message":"Hello World"}
When you invoked "goapp gofn" the fn server looked up the "goapp" application
and then looked for the Docker container image bound to the "gofn" function and
executed the code. Fn invoke
invokes your function directly and independently
of any associated triggers. You can always invoke a function even without it
having any triggers bound to it.
You can also pass data to the invoke command. Note that you set the content type for the data passed. For example:
echo -n '{"name":"Bob"}' | fn invoke goapp gofn --content-type application/json
{"message":"Hello Bob"}
The JSON data was parsed and since name
was set to "Bob", that value is passed
in the output.
If you have used Docker before the output of fn --verbose deploy
should look
familiar--it looks like the output you see when running docker build
with a Dockerfile. Of course this is exactly what's happening! When
you deploy a function like this Fn is dynamically generating a Dockerfile
for your function, building a container, and then loading it for execution.
NOTE: Fn is actually using two images. The first contains the language compiler and is used to generate a binary. The second image packages only the generated binary and any necessary language runtime components. Using this strategy, the final function image size can be kept as small as possible. Smaller Docker images are naturally faster to push and pull from a repository which improves overall performance. For more details on this technique see Multi-Stage Docker Builds for Creating Tiny Go Images.
When using fn deploy --local
, fn server builds and packages your function
into a container image which resides on your local machine.
As Fn is built on Docker you can use the docker
command to see the local
container image you just generated. You may have a number of Docker images so
use the following command to see only those created by fndemouser:
docker images | grep fndemouser
You should see something like:
fndemouser/gofn 0.0.2 cde014cefdad 7 minutes ago 15.1MB
The fn CLI provides a couple of commands to let us see what we've deployed.
fn list apps
returns a list of all of the defined applications.
fn list apps
Which, in our case, returns the name of the application we created when we deployed our gofn function:
NAME ID
goapp 01D37WY2N2NG8G00GZJ0000001
The fn list functions <app-name>
command lists all the functions associated with an app.
fn list functions goapp
The returns all the functions associated with the goapp
.
NAME IMAGE ID
gofn fndemouser/gofn:0.0.2 01DJZQXW47NG8G00GZJ0000014
The output confirms that goapp
contains a gofn
function which may be invoked via the
specified URL. Now that we've confirmed deployment was successful, let's
call our function.
There are two ways to call your deployed function.
The first is using the fn
CLI which makes invoking your function relatively
easy. Type the following:
fn invoke goapp gofn
which results in:
{"message":"Hello World"}
When you invoked "goapp gofn" the Fn server looked up the "goapp" application and then looked for the Docker container image bound to the "gofn" function and executed the code.
You can also pass data to the run command. Note that you set the content type for the data passed. For example:
echo -n '{"name":"Bob"}' | fn invoke goapp gofn --content-type application/json
{"message":"Hello Bob"}
The JSON data was parsed and since name
was set to "Bob", that value is passed
in the output.
In addition to using the Fn invoke
command, we can call a function by using a
URL. To do this, we must get the function's invoke endpoint. Use the command
fn inspect function <appname> <function-name>
. To list the gofn
function's
invoke endpoint we can type:
fn inspect function goapp gofn
{
"annotations": {
"fnproject.io/fn/invokeEndpoint": "http://localhost:8080/invoke/01DJZQXW47NG8G00GZJ0000014"
},
"app_id": "01DJZQWHVWNG8G00GZJ0000013",
"created_at": "2019-08-23T17:21:03.111Z",
"id": "01DJZQXW47NG8G00GZJ0000014",
"idle_timeout": 30,
"image": "fndemouser/gofn:0.0.2",
"memory": 128,
"name": "gofn",
"timeout": 30,
"updated_at": "2019-08-23T17:21:03.111Z"
}
The output confirms that the gofn
function's invoke endpoint is:
http://localhost:8080/invoke/01DJZQXW47NG8G00GZJ0000014
. We can use this URL
to call the function.
Once we have the invoke endpoint, the second method for invoking our function
can be used, HTTP. The Fn server exposes our deployed function at
http://localhost:8080/invoke/01DJZQXW47NG8G00GZJ0000014
.
Use curl to invoke the function:
curl -X "POST" -H "Content-Type: application/json" http://localhost:8080/invoke/01DJZQXW47NG8G00GZJ0000014
The result is once again the same.
{"message":"Hello World"}
We can again pass JSON data to our function get the value of name passed to the function back.
curl -X "POST" -H "Content-Type: application/json" -d '{"name":"Bob"}' http://localhost:8080/invoke/01DJZQXW47NG8G00GZJ0000014
The result is once again the same.
{"message":"Hello Bob"}
Congratulations! In this tutorial you've accomplished a lot. You've created your first function, deployed it to your local Fn server and invoked it over HTTP.
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