docs/OLD/howto/trigger-app-with-input-binding/README.md

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# Create an event-driven app using input bindings
Using bindings, your code can be triggered with incoming events from different resources which can be anything: a queue, messaging pipeline, cloud-service, filesystem etc.
This is ideal for event-driven processing, data pipelines or just generally reacting to events and doing further processing.
Dapr bindings allow you to:
* Receive events without including specific SDKs or libraries
* Replace bindings without changing your code
* Focus on business logic and not the event resource implementation
For more info on bindings, read [this](../../concepts/bindings/README.md) link.
For a complete sample showing bindings, visit this [link](https://github.com/dapr/quickstarts/tree/master/bindings).
## 1. Create a binding
An input binding represents an event resource that Dapr uses to read events from and push to your application.
For the purpose of this HowTo, we'll use a Kafka binding. You can find a list of the different binding specs [here](../../reference/specs/bindings/README.md).
Create the following YAML file, named binding.yaml, and save this to a `components` sub-folder in your application directory.
(Use the `--components-path` flag with `dapr run` to point to your custom components dir)
*Note: When running in Kubernetes, apply this file to your cluster using `kubectl apply -f binding.yaml`*
```yaml
apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
name: myevent
namespace: default
spec:
type: bindings.kafka
metadata:
- name: topics
value: topic1
- name: brokers
value: localhost:9092
- name: consumerGroup
value: group1
```
Here, you create a new binding component with the name of `myevent`.
Inside the `metadata` section, configure the Kafka related properties such as the topics to listen on, the brokers and more.
## 2. Listen for incoming events
Now configure your application to receive incoming events. If using HTTP, you need to listen on a `POST` endpoint with the name of the binding as specified in `metadata.name` in the file. In this example, this is `myevent`.
*The following example shows how you would listen for the event in Node.js, but this is applicable to any programming language*
```javascript
const express = require('express')
const bodyParser = require('body-parser')
const app = express()
app.use(bodyParser.json())
const port = 3000
app.post('/myevent', (req, res) => {
console.log(req.body)
res.status(200).send()
})
app.listen(port, () => console.log(`Kafka consumer app listening on port ${port}!`))
```
### ACK-ing an event
In order to tell Dapr that you successfully processed an event in your application, return a `200 OK` response from your HTTP handler.
```javascript
res.status(200).send()
```
### Rejecting an event
In order to tell Dapr that the event wasn't processed correctly in your application and schedule it for redelivery, return any response different from `200 OK`. For example, a `500 Error`.
```javascript
res.status(500).send()
```
### Event delivery Guarantees
Event delivery guarantees are controlled by the binding implementation. Depending on the binding implementation, the event delivery can be exactly once or at least once.
## References
* Binding [API](https://github.com/dapr/docs/blob/master/reference/api/bindings_api.md)
* Binding [Components](https://github.com/dapr/docs/tree/master/concepts/bindings)
* Binding [Detailed specifications](https://github.com/dapr/docs/tree/master/reference/specs/bindings)