Fabric-managed folders include the top-level folder in an item (for example, /MyLakehouse.lakehouse) and the first level of folders within it (for example, /MyLakehouse.lakehouse/Files and /MyLakehouse.lakehouse/Tables). You must perform these operations via Fabric experiences, such as the Fabric portal or Fabric management APIs. OneLake does enforce the Fabric item structure, meaning you can't create, read, update, or delete (CRUD) certain folders, even if you're the item or workspace owner. Only HEAD calls are supported at the workspace level and account level, as you must make changes to the Fabric tenant and Fabric workspaces in the Fabric administration portal. OneLake doesn't support creating, updating, or deleting workspaces or items through the ADLS Gen2 APIs. For more information on ADLS Gen2 APIs, see Azure Data Lake Storage Gen2 REST APIs. The following sections describe how OneLake differs from ADLS Gen2, from unsupported request headers to changes in response headers. While OneLake matches all ADLS Gen2 behavior wherever possible, not every concept in ADLS Gen2 has a direct correlation to OneLake. For example: '/mylakehouse.lakehouse/Files/'. The container name is your workspace name.When adopting a tool for use over OneLake instead of ADLS Gen2, use the following mapping: You must use GUIDs for both the workspace and the item, and don't need the item type. You can find the associated GUID for your workspace or item in the URL on the Fabric portal. OneLake assigns GUIDs and GUIDs don't change, even if the workspace or item name changes. OneLake also supports referencing workspaces and items with GUIDs. For example, ".lakehouse" for a lakehouse and ".datawarehouse" for a warehouse.
Since item names can be reused across multiple item types, you must specify the item type in the extension. URI Syntaxīecause OneLake exists across your entire Microsoft Fabric tenant, you can refer to anything in your tenant by its workspace, item, and path:
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A full list of changes to these APIs can be found in the 'Supported API operations' section.
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You can upload data to a lakehouse through Azure Storage Explorer, or read a delta table through a shortcut from Azure Databricks.Īs OneLake is software as a service (SaaS), some operations, such as managing permissions or updating items, must be done through Fabric experiences, and can't be done via ADLS Gen2 APIs. You can access your data in OneLake through any tool compatible with ADLS Gen2 just by using a OneLake URI instead. Microsoft OneLake provides open access to all of your Fabric items through existing ADLS Gen2 APIs and SDKs. Microsoft makes no warranties, expressed or implied, with respect to the information provided here. This information relates to a prerelease product that may be substantially modified before it's released. Microsoft Fabric is currently in PREVIEW.
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