Blob store

ROAPI currently supports the following blob storages:

• Filesystem
• HTTP/HTTPS
• S3
• GCS
• Azure Storage

Filesystem

Filesystem store can be specified using file: or filesystem: schemes. In a Windows environment, the scheme is mandatory. On Unix systems, a uri without a scheme prefix is treated as filesystem backed data source by ROAPI.

For example, to serve a local parquet file test_data/blogs.parquet, you can just set the uri to the file path:

tables:
  - name: "blogs"
    uri: "test_data/blogs.parquet"

Filesystem store supports loading partitioned tables. In other words, you can split up the table into mulitple files and load all of them into a single table by setting uri to the directory path. When loading a partitioned dataset, you will need to manually specify table format since the uri will not contain table format as a suffix:

tables:
  - name: "blogs"
    uri: "test_data/blogs/"
    option:
        format: "parquet"

HTTP/HTTPS

ROAPI can build tables from datasets served through HTTP protocols. However, one thing to keep in mind is HTTP store doesn't support partitioned datasets because there is no native directory support in HTTP protocol.

S3

ROAPI can build tables from datasets hosted in S3 buckets. Configuration is similar to filesystem store:

tables:
  - name: "TABLE_NAME"
    uri: "s3://BUCKET/TABLE/KEY"
    option:
        format: "csv"

Note that AWS region needs to be manually specified through AWS_REGION environment variable.

To configure S3 credentials, you can use IAM role or set the following environment variables if you are using IAM user:

• AWS_SECRET_ACCESS_KEY
• AWS_ACCESS_KEY_ID

GCS

ROAPI can build tables from datasets hosted in GCS buckets. Configuration is similar to filesystem store:

tables:
  - name: "TABLE_NAME"
    uri: "gs://BUCKET/TABLE/KEY"
    option:
        format: "csv"

To configure GCS credentials, you can set the following environment variables if you are using service accont:

• GOOGLE_SERVICE_ACCOUNT / GOOGLE_SERVICE_ACCOUNT_PATH: location of service account file
• GOOGLE_SERVICE_ACCOUNT_KEY: JSON serialized service account key
• GOOGLE_APPLICATION_CREDENTIALS: set by gcloud SDK
• Google Compute Engine Service Account
• GKE Workload Identity

Azure Storage

ROAPI can build tables from datasets hosted in Azure Storage. Configuration is similar to filesystem store:

tables:
  - name: "TABLE_NAME"
    uri: "az://BUCKET/TABLE/KEY"
    option:
        format: "csv"

The supported url schemas are

• abfs[s]://<container>/<path>
• az://<container>/<path>
• adl://<container>/<path>
• azure://<container>/<path>

To configure Azure credentials, you can set the following environment variables:

• AZURE_STORAGE_ACCOUNT_NAME
• AZURE_STORAGE_ACCOUNT_KEY
• AZURE_STORAGE_CLIENT_ID
• AZURE_STORAGE_TENANT_ID
• AZURE_STORAGE_SAS_KEY
• AZURE_STORAGE_TOKEN
• AZURE_MSI_ENDPOINT / AZURE_IDENTITY_ENDPOINT: Endpoint to request a imds managed identity token
• AZURE_OBJECT_ID: Object id for use with managed identity authentication
• AZURE_MSI_RESOURCE_ID: Msi resource id for use with managed identity authentication
• AZURE_FEDERATED_TOKEN_FILE: File containing token for Azure AD workload identity federation