Bytewax

Description
The Bytewax batch materialization engine provides an execution engine for batch materializing operations (materialize and materialize-incremental).
Guide
In order to use the Bytewax materialization engine, you will need a Kubernetes cluster running version 1.22.10 or greater.
Kubernetes Authentication
The Bytewax materialization engine loads authentication and cluster information from the kubeconfig file. By default, kubectl looks for a file named config in the $HOME/.kube directory. You can specify other kubeconfig files by setting the KUBECONFIG environment variable.
Resource Authentication
Bytewax jobs can be configured to access Kubernetes secrets as environment variables to access online and offline stores during job runs.
To configure secrets, first create them using kubectl:
kubectl create secret generic -n bytewax aws-credentials --from-literal=aws-access-key-id='<access key id>' --from-literal=aws-secret-access-key='<secret access key>'
If your Docker registry requires authentication to store/pull containers, you can use this same approach to store your repository access credential and use when running the materialization engine.
Then configure them in the batch_engine section of feature_store.yaml:
batch_engine:
  type: bytewax
  namespace: bytewax
  env:
    - name: AWS_ACCESS_KEY_ID
      valueFrom:
        secretKeyRef:
          name: aws-credentials
          key: aws-access-key-id
    - name: AWS_SECRET_ACCESS_KEY
      valueFrom:
        secretKeyRef:
          name: aws-credentials
          key: aws-secret-access-key
  image_pull_secrets:
    - docker-repository-access-secret
Configuration
The Bytewax materialization engine is configured through the The feature_store.yaml configuration file:
batch_engine:
  type: bytewax
  namespace: bytewax
  image: bytewax/bytewax-feast:latest
  image_pull_secrets:
    - my_container_secret
  service_account_name: my-k8s-service-account
  include_security_context_capabilities: false
  annotations:
    # example annotation you might include if running on AWS EKS
    iam.amazonaws.com/role: arn:aws:iam::<account number>:role/MyBytewaxPlatformRole
  resources:
    limits:
      cpu: 1000m
      memory: 2048Mi
    requests:
      cpu: 500m
      memory: 1024Mi
Notes:
The namespace configuration directive specifies which Kubernetes namespace jobs, services and configuration maps will be created in.
The image_pull_secrets configuration directive specifies the pre-configured secret to use when pulling the image container from your registry.
The service_account_name specifies which Kubernetes service account to run the job under.
The include_security_context_capabilities flag indicates whether or not "add": ["NET_BIND_SERVICE"] and "drop": ["ALL"] are included in the job & pod security context capabilities.
annotations allows you to include additional Kubernetes annotations to the job. This is particularly useful for IAM roles which grant the running pod access to cloud platform resources (for example).
The resources configuration directive sets the standard Kubernetes resource requests for the job containers to utilise when materializing data.
Building a custom Bytewax Docker image
The image configuration directive specifies which container image to use when running the materialization job. To create a custom image based on this container, run the following command:
DOCKER_BUILDKIT=1 docker build . -f ./sdk/python/feast/infra/materialization/contrib/bytewax/Dockerfile -t <image tag>
Once that image is built and pushed to a registry, it can be specified as a part of the batch engine configuration:
batch_engine:
  type: bytewax
  namespace: bytewax
  image: <image tag>
Last modified 24d ago