[FLaNK] Smart Weather Applications with Flink SQL
Sometimes you want to acquire, route, transform, live query, and analyze all the weather data in the United States while those reports happen. With FLaNK, it's a trivial process to do.
From Kafka to Kudu for Any Schema of Any Type of Data - No Code, Two Steps
The Schema Registry has full Swagger-ized Runnable REST API Documentation. Integrate, DevOps, and Migration in a simple script.
Here's your schemas, upload, edit, and compare.
Validating Data Against a Schema With Your Approved Level of Tolerance. You want extra fields allowed, you got it:
Feed that data to beautiful visual applications running in Cloudera Machine Learning.
You like drill-down maps, you got them:
Query your data fast with Apache Hue against Apache Kudu tables through Apache Impala:
Let's ingest all the US weather stations even though they are a zipped directory of a ton of XML files:
Weather Ingest is Easy Automagically!
View All Your Topic Data Enabled by Schema Registry Even in Avro Format:
Reference:
Ingesting all weather data with Apache
Source
Build
Query
Kafka Insert
Schemas
Schemas1
Schemas2
SQL
INSERT INTO weathernj
SELECT `location`, station_id,latitude,longitude,observation_time,weather,
temperature_string, temp_f,temp_c,relative_humidity,wind_string,wind_dir,wind_degrees,wind_mph,
wind_kt, pressure_in,dewpoint_string,dewpoint_f,dewpoint_c
FROM weather
WHERE
`location` is not null and `location` <> 'null' and trim(`location`) <> '' and `location` like '%NJ';
Example Slack Output
12:56
========================================================= http://forecast.weather.gov/images/wtf/small/ovc.png Location Cincinnati/Northern Kentucky International Airport, KY Station KCVG Temperature: 49.0 F (9.4 C) Humdity: 83 Wind East at 3.5 MPH (3 KT) Overcast Dewpoint 44.1 F (6.7 C)Observed at Tue, 27 Oct 2020 11:52:00 -0400---- tracking info ---- UUID: 2cb6bd67-148c-497d-badf-dfffb4906b89 Kafka offset: 0 Kafka Timestamp: 1603818351260 =========================================================
[FLaNK] Smart Weather Websocket Application - Kafka Consumer
This is based on Koji Kawamura's excellent GIST:
As part of my Smart Weather Application, I wanted to display weather information as it arrives on a webpage using web sockets. Koji has an excellent NiFi flow that does it. I tweaked it and add some things since I am not using Zeppelin. I am hosting my webpage with NiFi as well.
We simply supply a webpage that makes a WebSocket connection to NiFi and NiFi keeps a cache in HBase to know what the client is doing. This cache is updated by consuming from Kafka. We can then feed events as they happen to the page.
Here is the JavaScript for the web page interface to WebSockets:
<script>
function sendMessage(type, payload) {
websocket.send(makeMessage(type, payload));
}
function makeMessage(type, payload) {
return JSON.stringify({
'type': type,
'payload': payload
});
}
var wsUri = "ws://edge2ai-1.dim.local:9091/test";
websocket = new WebSocket(wsUri);
websocket.onopen = function(evt) {
sendMessage('publish', {
"message": document.getElementById("kafkamessage")
});
};
websocket.onerror = function(evt) {console.log('ERR', evt)};
websocket.onmessage = function(evt) {
var dataPoints = JSON.parse(evt.data);
var output = document.getElementById("results");
var dataBuffer = "<p>";
for(var i=0;i<dataPoints.length;i++)
{
dataBuffer += " <img src=\"" + dataPoints[i].icon_url_base + dataPoints[i].icon_url_name + "\"> " + dataPoints[i].location +
dataPoints[i].station_id + "@" + dataPoints[i].latitude + ":" +
dataPoints[i].longitude + "@" + dataPoints[i].observation_time +
dataPoints[i].temperature_string + "," + dataPoints[i].relative_humidity + "," +
dataPoints[i].wind_string +"<br>";
}
output.innerHTML = output.innerHTML + dataBuffer + "</p><br>";
};
</script> Video Walkthrough: https://www.twitch.tv/videos/797412192?es_id=bbacb7cb39 Source Code: https://github.com/tspannhw/SmartWeather/tree/main Kafka Topic
weathernj Schema
The schema registry has a live Swagger interface to it's REST API
NiFi Flow Overview
Ingest Via REST All US Weather Data from Zipped XML
As Data Streamings In, We Can Govern It
Ingested Data is Validated Against It's Schema Then Pushed to Kafka as Avro
We consume that Kafka data in-store it in Kudu for analytics
We host a web page for our Websockets Application in NiFi with 4 simple processors.
Listen and Put Web Socket Messages Between NiFi Server and Web Application
Kafka Data is Cached for Websocket Applications
Set the Port for WebSockets via Jetty Web Server
Use HBase As Our Cache
We can monitor our Flink SQL application from the Global Flink Dashboard
We can query our Weather data store in Apache Kudu via Apache Impala through Apache Hue
Kudu Visualizations of Our Weather Data in Cloudera Visual Applications
... View more
