GithubHelp home page GithubHelp logo

Comments (4)

RustedBones avatar RustedBones commented on June 8, 2024 1

Thanks for the feature request @mkuthan. Will look at this during our preparation of 0.14.
We should also change the BQ to probably expose the handleErrors with the raw WriteResult

from scio.

mkuthan avatar mkuthan commented on June 8, 2024

One more experiment with an even more generic API that allows encapsulating all steps of the custom IO as a single Scala friendly transform.

With custom output like this, I could provide a composite transform that converts domain objects into underlying storage format (for example JSON bytes) and then save bytes in the database using the Beam IO connector.
In the job test I will be able to use domain object T because the whole transform will be replaced by the stub. As a bonus, transformFn has full access to the POutput to handle errors.

val self: SCollection[T] ...

def betterSaveAsCustomOutput[O <: POutput](name: String)(transformFn: SCollection[T] => O): ClosedTap[Nothing] = {
  if (self.context.isTest) {
    TestDataManager.getOutput(self.context.testId.get)(CustomIO[T](name))(self)
  } else {
    self.applyInternal(
      name,
      new PTransform[PCollection[T], O]() {
        override def expand(input: PCollection[T]): O =
          transformFn(self.context.wrap(input))
      }
    )
  }

  ClosedTap[Nothing](EmptyTap)
}

For the reading part I could do the same. Provide the composite transform that reads bytes from the database using Beam IO connector, deserializes JSON, and returns domain objects. Everything as a single transform, easy to test at the job level. In the test I only need to prepare domain objects as input. The bytes representation from the Beam IO connector is fully encapsulated in the composite transform.

val self: ScioContent = ...

def betterCustomInput[T, I >: PBegin <: PInput](name: String)(transformFn: I => SCollection[T]): SCollection[T] =
  self.requireNotClosed {
    if (self.isTest) {
      TestDataManager.getInput(self.testId.get)(CustomIO[T](name)).toSCollection(self)
    } else {
      self.applyTransform(
        name,
        new PTransform[I, PCollection[T]]() {
          override def expand(input: I): PCollection[T] =
            transformFn(input).internal
        }
      )
    }
  }
}

Alternatively I could put my composite transform into plain Beam PTransform and use existing customInput or saveAsCustomOutput. But I would prefer to use the Scio API in my code :)

from scio.

mkuthan avatar mkuthan commented on June 8, 2024

Wonderfull, thanks!

You could also look at the (ugly) workaround I applied in my playground project:

BigQuery IO aligned to my vision of the infrastructure layer:

How it plays with JobTest. Input/output defined within domain types instead of bytes from Pubsub or TableRows from BigQuery. TestDataManager fully overrides IO connectors from the infrastructure layer.

from scio.

RustedBones avatar RustedBones commented on June 8, 2024

@mkuthan just a status update on this issue.

We've opted for another strategy that avoids passing a pipeline transforms function to the IO. We prefered to expose possible SCollection write result as side output. This way, we can keep a 'flat' pipeline definition.

On 0.14, the testing framework will mock those as empty, but we plan to let users set custom values in the future.

I hope this setup fits with your needs. Let us know otherwise.

from scio.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.