Linkly

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# Ch. 5: Stream live clicks


`iii-stream` is for **real-time data transmission**: pushing data to a client the moment it changes,
like a live feed of clicks for a dashboard. A stream is bidirectional (subscribers can send messages
back as well as receive them), but here you only need to broadcast clicks outward. You'll move the
live-broadcast concern into its own `click-streamer` worker so the `link` worker stays focused on
links.

## Add the workers

`iii-stream` is how we will send clicks to clients in Chapter 7. We'll make a new `click-streamer`
worker to manage the streaming, so scaffold it the same way you scaffolded `link` in Chapter 1, and
`analytics` in Chapter 4:

```bash
iii worker add iii-stream
iii worker init click-streamer --language typescript
```

## Broadcast clicks in real time

We'll continue to keep `link` decoupled by having it announce that a click happened, and
`click-streamer` reacts by pushing it onto the live feed. A live counter can tolerate the rare
dropped event, so a regular `iii-pubsub` event is the right tool here.

### Add a `link.clicked` event to the `link` worker

First, publish a `link.clicked` event from `link::record_click`:

```typescript link/src/index.ts {12-16}
worker.registerFunction(
  "link::record_click",
  async (payload: { code: string; clicked_at: string }) => {
    await worker.trigger({
      function_id: "database::execute",
      payload: {
        db: DB,
        sql: "INSERT INTO clicks (code, clicked_at) VALUES (?, ?)",
        params: [payload.code, payload.clicked_at],
      },
    });
    worker.trigger({
      function_id: "publish",
      payload: { topic: "link.clicked", data: payload },
      action: TriggerAction.Void(),
    });
    return { recorded: true };
  },
);
```

<Info>
  In the new code above we didn't use `await` and set the `action` to `TriggerAction.Void()`. This
  causes the function to return immediately before it completes. This is a simple performance
  enhancement with things like pubsub where we don't need guaranteed execution.
</Info>

### Setup the `click-streamer` worker

Now write the `click-streamer` worker. It subscribes to `link.clicked` and broadcasts each click to
a `clicks` stream with `stream::set`. A `stream::set` both stores the item and pushes it to every
WebSocket subscribed to that stream and group. Replace the generated `click-streamer/src/index.ts`:

```typescript click-streamer/src/index.ts
import { registerWorker } from "iii-sdk";
import { Logger } from "@iii-dev/observability";

const worker = registerWorker(process.env.III_URL ?? "ws://localhost:49134", {
  workerName: "click-streamer",
});
const logger = new Logger();

worker.registerFunction(
  "click-streamer::broadcast",
  async (data: { code: string; clicked_at: string }) => {
    await worker.trigger({
      function_id: "stream::set",
      payload: {
        stream_name: "clicks",
        group_id: "all",
        item_id: `${data.code}-${data.clicked_at}`,
        data,
      },
    });
    return { streamed: true };
  },
);

worker.registerTrigger({
  type: "subscribe",
  function_id: "click-streamer::broadcast",
  config: { topic: "link.clicked" },
});

logger.info("click-streamer ready");
```

Register it with your project:

```bash
iii worker add ./click-streamer
```

The browser you build in Chapter 7 subscribes to `clicks`/`all` and counts those broadcasts live.

## See it work

With the engine running, follow a link a few times and read the live `clicks` stream:

```bash
curl -s -X POST http://127.0.0.1:3111/links \
  -H 'Content-Type: application/json' -d '{"url":"https://iii.dev","code":"stream-me"}'
for n in $(seq 1 3); do curl -s -o /dev/null http://127.0.0.1:3111/s/stream-me; done
iii trigger stream::list stream_name=clicks group_id=all
```

Each redirect lands in the stream as the `click-streamer` worker broadcasts it.

## Conclusion

Linkly now streams every click to subscribers in real time through a dedicated `click-streamer`
worker. Next, in [Ch. 6: Move bulk data with channels](/tutorials/linkly/channels), you bulk-load
links from a CSV in a single streamed upload.