> For the complete documentation index, see [llms.txt](https://v2.dataos.info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://v2.dataos.info/references/v1/resources/lakehouse/supported-sources/lakehouse-on-abfss-1.md).

# Lakehouse on ABFSS

This page contains the ABFSS-specific configuration for a Lakehouse. Refer to [Create a Lakehouse](/references/v1/resources/lakehouse/create-a-lakehouse.md) for prerequisites, deployment, and verification steps.

### ABFSS storage Secret

```yaml
name: ${storage-secret-name}
version: v2alpha
type: secret
description: ABFSS storage secret for Lakehouse
secret:
  type: key-value
  data:
    az_account_name: ${azure-storage-account-name}
    az_account_key: ${azure-storage-account-key}
    storage_type: abfss
```

### Lakehouse manifest

```yaml
name: ${lakehouse-name}
version: v1alpha
type: lakehouse
description: Lakehouse on ABFSS storage
tags:
  - lakehouse
  - abfss
spec:
  compute: ${compute-name}
  runAsUser: ${user-id}
  logLevel: INFO
  iceberg:
    metastore:
      type: iceberg-jdbc-catalog
      replicas: 1
      secret: ${tenant}:${metastore-secret-name}
      postgresql:
        host: ${postgres-host}
        port: "5432"
        database: ${database-name}
        schema: public
      resources:
        requests:
          cpu: "1"
          memory: 1000Mi
        limits:
          cpu: "1"
          memory: 2000Mi
    storage:
      type: abfss # Storage backend
      abfss:
        account: ${abfss-account} # Azure Storage account name
        container: ${container-name} # ADLS Gen2 container name
        relativePath: ${relative-path} # Directory for Lakehouse data
        endpointSuffix: dfs.core.windows.net # ADLS Gen2 endpoint
        format: ICEBERG # Table format
      secret: ${tenant}:${storage-secret-name} # Secret containing ABFSS credentials
    sherpa:
      replicas: 1
      resources:
        requests:
          cpu: 200m
          memory: 512Mi
        limits:
          cpu: 500m
          memory: 1000Mi
    sparkCluster:
      server:
        requests:
          cpu: 200m
          memory: 512Mi
        limits:
          cpu: 500m
          memory: 1000Mi
      driver:
        coreLimit: "2048m"
        cores: 1
        memory: "2048m"
      executor:
        coreLimit: "2048m"
        cores: 1
        memory: "2048m"
        instances: 1
```


---

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