Resources

Resources are components within Redpanda Connect that are declared with a unique label and can be referenced any number of times within a configuration. Only one instance of each named resource is created, but it is safe to use it in multiple places as they can be shared without consequence.

Some components such as caches and rate limits can only be created as a resource. However, for components where it’s optional there are a few reasons why it might be advantageous to do so.

input:
  resource: foo

pipeline:
  processors:
    - resource: bar
    - cache:
        operator: set
        resource: baz
        key: ${! json("id") }
        value: ${! content() }

output:
  resource: buz

input_resources:
  - label: foo
    file:
      paths: [ ./in.txt ]

processor_resources:
  - label: bar
    mapping: 'root = content.lowercase()'

cache_resources:
  - label: baz
    memory:
      default_ttl: 300s

output_resources:
  - label: buz
    file:
      path: ./out.txt

Reusability

Sometimes it’s necessary to use a rather large component multiple times. Instead of copy/pasting the configuration or using YAML anchors you can define your component as a resource.

In the following example we want to make an HTTP request with our payloads. Occasionally the payload might get rejected due to garbage within its contents, and so we catch these rejected requests, attempt to "cleanse" the contents and try to make the same HTTP request again. Since the HTTP request component is quite large (and likely to change over time) we make sure to avoid duplicating it by defining it as a resource get_foo:

pipeline:
  processors:
    - resource: get_foo
    - catch:
      - mapping: |
          root = this
          root.content = this.content.strip_html()
      - resource: get_foo

processor_resources:
  - label: get_foo
    http:
      url: http://example.com/foo
      verb: POST
      headers:
        SomeThing: "set-to-this"
        SomeThingElse: "set-to-something-else"

Feature toggling

With environment variables

There are two ways of using resources for feature toggling, the first is to define your feature components with unique names and then apply the old switcheroo with environment variables to select the one you wish to execute:

pipeline:
  processors:
    - resource: ${FEATURE_REQUEST}

processor_resources:
  - label: get_foo
    http:
      url: http://example.com/foo
      verb: POST
      headers:
        SomeThing: "set-to-this"
        SomeThingElse: "set-to-something-else"

  - label: get_bar
    http:
      url: http://example.com/bar
      verb: PUT
      headers:
        Desires: "are-empty"

Then when you execute Redpanda Connect use the environment variable to choose your resource: FEATURE_REQUEST=get_foo rpk connect run -c ./your_config.yaml.

With imports

However, Redpanda Connect allows you to import resources from separate files with the cli flag -r or -resources, which can be a useful way to switch out resources with common names based on your chosen environment. For example, with a main configuration file config.yaml:

pipeline:
  processors:
    - resource: get_foo

And then two resource files, one stored at the path ./staging/request.yaml:

processor_resources:
  - label: get_foo
    http:
      url: http://example.com/foo
      verb: POST
      headers:
        SomeThing: "set-to-this"
        SomeThingElse: "set-to-something-else"

And another stored at the path ./production/request.yaml:

processor_resources:
  - label: get_foo
    http:
      url: http://example.com/bar
      verb: PUT
      headers:
        Desires: "are-empty"

We can select our chosen resource by changing which file we import, either running:

rpk connect run -r ./staging/request.yaml -c ./config.yaml

Or:

rpk connect run -r ./production/request.yaml -c ./config.yaml

These flags also support wildcards, which allows you to import an entire directory of resource files like rpk connect run -r "./staging/*.yaml" -c ./config.yaml.