InfinyOn Cloud Quickstart
This guide will outline using the Fluvio CLI with InfinyOn Cloud or a local Fluvio Cluster.
- Install Fluvio Client (CLI)
- Create an InfinyOn Cloud Account
- Start a Cluster
- Produce & Consume Records
- Use Connectors
- Use StartModules
- Build Stateful Dataflows
Let's get started.
1. Installing Fluvio Client (CLI)
You'll need to download and install the CLI.
$ curl -fsS https://hub.infinyon.cloud/install/install.sh | bash
This command will download the Fluvio Version Manager (fvm), Fluvio CLI (fluvio) and config files into $HOME/.fluvio
, with the executables in $HOME/.fluvio/bin
. To complete the installation, you must add the executables to your shell $PATH
.
2. Create an InfinyOn Cloud Account
Head over to the InfinyOn Cloud sign-up page and create an account. Depending on which method you choose in account creation, you can log in with OAuth2 or username/password.
Login to InfinyOn Cloud using Oauth:
$ fluvio cloud login --use-oauth2
A web browser has been opened at https://infinyon-cloud.us.auth0.com/activate?user_code=GLMC-QDDJ.
Please proceed with authentication.
Or, login with your Username/Password:
$ fluvio cloud login
InfinyOn Cloud email: john@example.com
Password:
3. Start a Cluster
Use Fluvio CLI to start a cluster on InfinyOn Cloud. Start cluster on InfinyOn Cloud (must be logged in as intructed in section 2):
$ fluvio cloud cluster create
Run the following command to check the CLI and the cluster platform versions:
$ fluvio version
4. Produce and Consume records
Create your first topic
Topics are used to store data and send data streams.
You can create a topic with the following command:
$ fluvio topic create quickstart-topic
Where quickstart-topic
is the name of your topic
Read more about Topics in the Fluvio docs.
Produce data to your topic
You can send data (aka produce) to your topic.
Let's try to produce text to your topic interactively:
$ fluvio produce quickstart-topic
> hello world!
Ok!
Typing anything and then pressing Enter
will send a record to your topic.
Press Ctrl+C
to exit the interactive producer prompt.
You may also use the following commands:
$ fluvio produce quickstart-topic
> hello world!
Ok!
Or pipe output to fluvio
:
echo "hello world!" | fluvio produce quickstart-topic
Read more about Producers in the Fluvio docs.
Consume data from your topic
You can read data (aka consume) from your topic.
This command will create a consumer that listens to your topic for new records and then prints it to the screen:
$ fluvio consume quickstart-topic
Consuming records from the end of topic 'quickstart-topic'. This will wait for new records
To see this in action, open another terminal and produce new data.
To see previously sent data, you can add an option to your consume command to request a starting offset with the -B <offset>
flag.
$ fluvio consume quickstart-topic -B -d
hello world!
Flags:
-B
- reads from the beginning of the stream (defaults to0
if no value supplied).-d
- closes the consumer connection after all data has been sent.
Read more about Consumers in the Fluvio docs.
5. Use Connectors
InfinyOn offers a growing number of connectors to communicate with external services.
In this example, we will be covering the HTTP Source connector. The connector polls data from an HTTP endpoint that returns a random quote every 3 seconds to a topic called quotes
.
Save the following configuration file on your machine:
# quotes-source-connector.yml
apiVersion: 0.1.0
meta:
version: x.y.z
name: http-quotes
type: http-source
topic: quotes
http:
endpoint: https://demo-data.infinyon.com/api/quote
interval: 3s
You may run the connector on InfinyOn Cloud, or your local machine.
Run HTTP Connector on InfinyOn Cloud
To start a connector in InfinyOn Cloud, use the following command:
$ fluvio cloud connector create -c quotes-source-connector.yml
Use the following command to see the connector status.
$ fluvio cloud connector list
NAME TYPE VERSION CDK STATUS LOG-LEVEL
http-quotes http-source x.y.z V3 Running info
We can monitor new data in the connector's topic with fluvio consume quotes
$ fluvio consume quotes
Consuming records from 'quotes'
{"quote":"We cannot solve our problems with the same thinking we used when we created them.","by":"Albert Einstein"}
{"quote":"Whatever you are, be a good one.","by":"Abraham Lincoln"}
{"quote":"You can't build a reputation on what you're going to do.","by":"Henry Ford"}
{"quote":"Success is not final, failure is not fatal: It is the courage to continue that counts.","by":"Winston Churchill"}
You may delete your cloud connector with the following command: fluvio cloud connector delete http-quotes
.
Read more about Connectors in the Fluvio docs.
6. Use SmartModules
SmartModules are user-defined functions compiled into WebAssembly and applied to data streaming for inline data manipulation. You can use SmartModules in the producers, consumers, as well as Connectors. InfinyOn has several pre-compiled SmartModules that you can use out of the box. Alternatively, you use SmartModule Developer Kit (smdk) to build your own.
Download a Smartmodule from the Hub
InfinyOn Hub has a growing library of SmartModules available for download:
$ fluvio hub smartmodule list
SMARTMODULE Visibility
infinyon-labs/array-map-json@x.y.z public
infinyon-labs/dedup-filter@x.y.z public
infinyon-labs/json-formatter@x.y.z public
infinyon-labs/key-gen-json@x.y.z public
infinyon-labs/regex-map-json@x.y.z public
infinyon-labs/regex-map@x.y.z public
infinyon-labs/rss-json@x.y.z public
infinyon-labs/stars-forks-changes@x.y.z public
infinyon/jolt@x.y.z public
infinyon/json-sql@x.y.z public
infinyon/regex-filter@x.y.z public
In the example, we'll use a SmartModule called jolt to turn json records into sentences.
Let's download the Smartmodule to our cluster:
$ fluvio hub smartmodule download infinyon/jolt@x.y.z
... cluster smartmodule install complete
Check the cluster to ensure it has been successfully downloaded:
$ fluvio smartmodule list
SMARTMODULE SIZE
infinyon/jolt@x.y.z 611.5 KB
Next, we'll create a transform file and test the output.
Create a SmartModule transformation file
SmartModules can be chained together and often require additional parameters. Fluvio uses a YAML file is used to define the transformations.
Create a transforms.yaml
file and copy/paste the following definition:
# File: transforms.yaml
transforms:
- uses: infinyon/jolt@x.y.z
with:
spec:
- operation: shift
spec:
quote: ""
Jolt is a complex Smartmodule that allows you to perform multiple types of JSON transformations. For additional information, check out the SmartModule Jolt docs.
Test the SmartModule
As the quotes
are readily available for us in the quotes
topic, we'll use the consumer command to test this SmartModule.
$ fluvio consume quotes --transforms-file transforms.yaml -T=2
Consuming records from 'quotes' starting 2 from the end of log
"The greatest glory in living lies not in never falling, but in rising every time we fall."
"Simplicity is the ultimate sophistication."
We are consuming the last two quotes topic records and transforming the json into a string.
Apply the Smartmodule to the Connector
Let's say we don't use the authors in the quotes; instead, only the quote represented strings. We can accomplish this result by simply applying the transformation to the connector.
Let's create a new http-source
connector and add the transformation:
# string-quotes-source-connector.yml
apiVersion: 0.1.0
meta:
version: x.y.z
name: string-quotes
type: http-source
topic: string-quotes
http:
endpoint: https://demo-data.infinyon.com/api/quote
interval: 3s
transforms:
- uses: infinyon/jolt@x.y.z
with:
spec:
- operation: shift
spec:
quote: ""
Ready to run the connector:
$ fluvio cloud connector create -c string-quotes-source-connector.yml
Use the following command to see the connector status.
$ fluvio cloud connector list
NAME TYPE VERSION CDK STATUS LOG-LEVEL
string-quotes http-source x.y.z V3 Running info
http-quotes http-source x.y.z V3 Running info
Let's take a look at string-quotes
$ fluvio consume string-quotes
Consuming records from 'string-quotes'
"It's not whether you get knocked down, it's whether you get up."
"Honesty is the first chapter in the book of wisdom."
We now have two topics running in parallel and producing different results with a simple SmartModule transformation. When you apply inline transformations, the number of possibilities is virtually endless.
6. Build Stateful Dataflows
Stateful Dataflows is currently in preview. With stateful dataflows, you can chain services, accumulate state, and perform window-based aggregates.
Checkout SDF section for additional information.
Clean-up Resources
During this tutorial, we've created connectors that continue generating traffic to our cloud cluster. Run the following commands to clean up:
fluvio cloud connector delete http-quotes
fluvio cloud connector delete string-quotes
fluvio topic delete quotes
fluvio topic delete string-quotes
Next Steps
Now you're familiar with using InfinyOn Cloud with the Cloud CLI, Check out our Tutorials.