This tutorial will demonstrate how to get Dapr running locally on your machine. We'll be deploying a Node.js app that subscribes to order messages and persists them. The following architecture diagram illustrates the components that make up the first part sample:
Later on, we'll deploy a Python app to act as the publisher. The architecture diagram below shows the addition of the new component:
This sample requires you to have the following installed on your machine:
- Docker
- Node.js version 8 or greater
- Python 3.x
- Postman [Optional]
Follow instructions to download and install the Dapr CLI and initialize Dapr.
Now that we've locally set up Dapr, clone the repo, then navigate to the Hello World sample:
git clone https://github.com/dapr/samples.git
cd samples/1.hello-world
In the app.js
you'll find a simple express
application, which exposes a few routes and handlers. First, let's take a look at the stateUrl
at the top of the file:
const stateUrl = `http://localhost:${daprPort}/v1.0/state/${stateStoreName}`;
When we use the Dapr CLI, it creates an environment variable for the Dapr port, which defaults to 3500. We'll be using this in step 3 when we POST messages to our system. The stateStoreName
is the name of the state store being used which is configured in the yaml file under components.
apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
# The name of state store is configured here
name: statestore
spec:
...
Next, let's take a look at the neworder
handler:
app.post('/neworder', (req, res) => {
const data = req.body.data;
const orderId = data.orderId;
console.log("Got a new order! Order ID: " + orderId);
const state = [{
key: "order",
value: data
}];
fetch(stateUrl, {
method: "POST",
body: JSON.stringify(state),
headers: {
"Content-Type": "application/json"
}
}).then((response) => {
if (!response.ok) {
throw "Failed to persist state.";
}
console.log("Successfully persisted state.");
res.status(200).send();
}).catch((error) => {
console.log(error);
res.status(500).send({message: error});
});
});
Here we're exposing an endpoint that will receive and handle neworder
messages. We first log the incoming message, and then persist the order ID to our Redis store by posting a state array to the /state/<state-store-name>
endpoint.
Alternatively, we could have persisted our state by simply returning it with our response object:
res.json({
state: [{
key: "order",
value: order
}]
})
We chose to avoid this approach, as it doesn't allow us to verify if our message successfully persisted.
We also expose a GET endpoint, /order
:
app.get('/order', (_req, res) => {
fetch(`${stateUrl}/order`)
.then((response) => {
if (!response.ok) {
throw "Could not get state.";
}
return response.text();
}).then((orders) => {
res.send(orders);
}).catch((error) => {
console.log(error);
res.status(500).send({message: error});
});
});
This calls out to our Redis cache to grab the latest value of the "order" key, which effectively allows our Node.js app to be stateless.
Note: If we only expected to have a single instance of the Node.js app, and didn't expect anything else to update "order", we instead could have kept a local version of our order state and returned that (reducing a call to our Redis store). We would then create a
/state
POST endpoint, which would allow Dapr to initialize our app's state when it starts up. In that case, our Node.js app would be stateful.
-
Install dependencies:
npm install
. This will installexpress
andbody-parser
, dependencies that are shown in ourpackage.json
. -
Run Node.js app with Dapr:
dapr run --app-id nodeapp --app-port 3000 --port 3500 node app.js
.
The command should output text that looks like the following, along with logs:
Starting Dapr with id nodeapp. HTTP Port: 3500. gRPC Port: 9165
You're up and running! Both Dapr and your app logs will appear here.
...
Note: the
--app-port
(the port the app runs on) is configurable. Our Node app happens to run on port 3000, but we could configure it to run on any other port. Also note that the Dapr--port
parameter is optional, and if not supplied, a random available port is used.
Now that Dapr and our Node.js app are running, let's POST messages against it, using different tools. Note: here we're POSTing against port 3500 - if you used a different port, be sure to update your URL accordingly.
First, let's POST the message by using Dapr cli in a new command line terminal:
Windows Command Prompt
dapr invoke --app-id nodeapp --method neworder --payload "{\"data\": { \"orderId\": \"41\" } }"
Windows PowerShell
dapr invoke --app-id nodeapp --method neworder --payload '{\"data\": { \"orderId\": \"41\" } }'
Linux or MacOS
dapr invoke --app-id nodeapp --method neworder --payload '{"data": { "orderId": "41" } }'
Now, we can also do this using curl
with:
curl -XPOST -d @sample.json http://localhost:3500/v1.0/invoke/nodeapp/method/neworder
Or, we can also do this using the Visual Studio Code Rest Client Plugin
POST http://localhost:3500/v1.0/invoke/nodeapp/method/neworder
{
"data": {
"orderId": "42"
}
}
Last but not least, we can use the Postman GUI.
Open Postman and create a POST request against http://localhost:3500/v1.0/invoke/nodeapp/method/neworder
In your terminal window, you should see logs indicating that the message was received and state was updated:
== APP == Got a new order! Order ID: 42
== APP == Successfully persisted state.
Now, let's just make sure that our order was successfully persisted to our state store. Create a GET request against: http://localhost:3500/v1.0/invoke/nodeapp/method/order
. Note: Again, be sure to reflect the right port if you chose a port other than 3500.
curl http://localhost:3500/v1.0/invoke/nodeapp/method/order
or using the Visual Studio Code Rest Client Plugin
GET http://localhost:3500/v1.0/invoke/nodeapp/method/order
or use the Postman GUI
This invokes the /order
route, which calls out to our Redis store for the latest data. Observe the expected result!
Let's take a look at our Python App to see how another application can invoke the Node App via Dapr without being aware of the destination's hostname or port. In the app.py
file we can find the endpoint definition to call the Node App via Dapr.
dapr_port = os.getenv("DAPR_HTTP_PORT", 3500)
dapr_url = "http://localhost:{}/v1.0/invoke/nodeapp/method/neworder".format(dapr_port)
It is important to notice the Node App's name (nodeapp
) in the URL, it will allow Dapr to redirect the request to the right API endpoint. This name needs to match the name used to run the Node App earlier in this exercise.
The code block below shows how the Python App will incrementally post a new orderId every second, or print an exception if the post call fails.
n = 0
while True:
n += 1
message = {"data": {"orderId": n}}
try:
response = requests.post(dapr_url, json=message)
except Exception as e:
print(e)
time.sleep(1)
Now we can open a new command line terminal and go to the 1.hello-world
directory.
-
Install dependencies via
pip install requests
orpip3 install requests
, depending on your local setup. -
Start the Python App with Dapr:
dapr run --app-id pythonapp python app.py
ordapr run --app-id pythonapp python3 app.py
-
If all went well, the other terminal, running the Node App, should log entries like these:
Got a new order! Order ID: 1
Successfully persisted state
Got a new order! Order ID: 2
Successfully persisted state
Got a new order! Order ID: 3
Successfully persisted state
- Now, we perform a GET request a few times and see how the orderId changes every second (enter it into the web browser, use Postman, or curl):
GET http://localhost:3500/v1.0/invoke/nodeapp/method/order
{
"orderId": 3
}
Note: we did not run
dapr init
in the second command line terminal because dapr was already setup on your local machine initially, running this command again would fail.
To stop your services from running, simply stop the "dapr run" process. Alternatively, you can spin down each of your services with the Dapr CLI "stop" command. For example, to spin down both services, run these commands in a new command line terminal:
dapr stop --app-id nodeapp
dapr stop --app-id pythonapp
To see that services have stopped running, run dapr list
, noting that your services no longer appears!
Now that you've gotten Dapr running locally on your machine, see the Hello Kubernetes to get set up in Kubernetes!