4/4/2023 0 Comments Cant mount to file driver![]() ![]() The main purpose of the mount operation is to let customers access the data stored in a remote storage account by using a local file system API. Access files under the mount point by using the mssparktuils fs API Here's the sample code: from notebookutils import mssparkutilsĪccountKey = security reasons, don't store credentials in code. For more information, see Manage storage account keys with Key Vault and the Azure CLI (legacy). You can then retrieve them by using the API. In addition to mounting through a linked service, mssparkutils supports explicitly passing an account key or shared access signature (SAS) token as a parameter to mount the target.įor security reasons, we recommend that you store account keys or SAS tokens in Azure Key Vault (as the following example screenshot shows). Mount via shared access signature token or account key ![]() ![]() We don't recommend that you mount a root folder, no matter which authentication method you use. You might need to import mssparkutils if it's not available: From notebookutils import mssparkutils Currently, Azure Synapse Analytics supports two authentication methods when you create a linked service:Ĭreate a linked service by using an account keyĬreate a linked service by using a managed identity You can create a linked service for Data Lake Storage Gen2 or Blob Storage. Instead, mssparkutils always fetches authentication values from the linked service to request blob data from remote storage. This method avoids security leaks, because mssparkutils doesn't store any secret or authentication values itself. We recommend a trigger mount via linked service. Mount by using a linked service (recommended) Currently, Azure Synapse Analytics supports three authentication methods for the trigger mount operation: linkedService, accountKey, and sastoken. To mount the container called mycontainer, mssparkutils first needs to check whether you have the permission to access the container. The account has one container named mycontainer that you want to mount to /test in your Spark pool. The example assumes that you have one Data Lake Storage Gen2 account named storegen2. This section illustrates how to mount Data Lake Storage Gen2 step by step as an example. You can migrate to Data Lake Storage Gen2 by following the Azure Data Lake Storage Gen1 to Gen2 migration guidance before using the mount APIs. You can use Data Lake Storage Gen2 or Azure Blob Storage mounting instead, as described in the next section.Īzure Data Lake Storage Gen1 storage is not supported. Azure file-share mounting is temporarily disabled. ![]()
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