How to Obtain the KeyVaultResourceId for Azure Key Vault: A Comprehensive Guide

Azure Key Vault is an essential service for managing secrets, keys, and certificates. One critical element when working with Azure Key Vault is the KeyVaultResourceId, which uniquely identifies your Key Vault within your Azure subscription. This blog will guide you through the different methods to obtain the KeyVaultResourceId, including Azure CLI, Azure PowerShell, and the Azure Portal.

Understanding the KeyVaultResourceId

The KeyVaultResourceId is a unique identifier for your Azure Key Vault resource. It is used in various Azure operations and configurations to reference the Key Vault. The KeyVaultResourceId is structured as follows:

/subscriptions/{subscription-id}/resourceGroups/{resource-group}/providers/Microsoft.KeyVault/vaults/{key-vault-name}

Methods to Obtain KeyVaultResourceId

Using Azure CLI

The Azure Command-Line Interface (CLI) is a powerful tool for managing Azure resources. Follow these steps to retrieve the KeyVaultResourceId using Azure CLI:

Open Terminal or Command PromptLaunch your preferred terminal or command prompt.

Run the Command to List Key VaultsUse the following command to list all Key Vaults in your subscription:

    az keyvault list --output table

    This command displays a table with details about your Key Vaults, including their id field, which represents the KeyVaultResourceId.

    Locate the Key Vault and Note the id

    Find your specific Key Vault in the output. The id field is your KeyVaultResourceId.

    Example output:

    Name              Location    ResourceGroup    Id
    ----------------  ----------  ---------------  --------------------------------------
    my-keyvault       westus      my-resource-group  /subscriptions/<subscription-id>/resourceGroups/my-resource-group/providers/Microsoft.KeyVault/vaults/my-keyvault

    In this example, the KeyVaultResourceId is:

    /subscriptions/<subscription-id>/resourceGroups/my-resource-group/providers/Microsoft.KeyVault/vaults/my-keyvault

    Using Azure PowerShell

    Azure PowerShell is another robust option for managing Azure resources. Here’s how to get the KeyVaultResourceId using Azure PowerShell:

    Open Azure PowerShellLaunch Azure PowerShell on your system.

    Run the Command to Retrieve Key VaultsUse the following command to get the details of all Key Vaults:

      Get-AzKeyVault | Select-Object ResourceId, Name, ResourceGroupName

      Find Your Key Vault and Note the ResourceId

      Locate your Key Vault in the output. The ResourceId field is your KeyVaultResourceId.

      Example output:

      ResourceId                                                                                   Name         ResourceGroupName
      --------------------------------------------------------------------------------------------  ------------  -------------------
      /subscriptions/<subscription-id>/resourceGroups/my-resource-group/providers/Microsoft.KeyVault/vaults/my-keyvault  my-keyvault  my-resource-group

      Here, the KeyVaultResourceId is:

      /subscriptions/<subscription-id>/resourceGroups/my-resource-group/providers/Microsoft.KeyVault/vaults/my-keyvault

      Using Azure Portal

      The Azure Portal provides a user-friendly interface to access resource details. To find the KeyVaultResourceId in the portal:

      Go to the Azure PortalOpen your web browser and navigate to the Azure Portal.

      Navigate to Your Key VaultIn the Azure Portal, go to the “Key Vaults” section and select your Key Vault from the list.

      Find the Resource IDIn the Key Vault’s overview pane, locate the Resource ID. This is typically found in the properties section or URL of the Key Vault.

      Copy the Resource IDCopy the Resource ID, which is your KeyVaultResourceId.Example Resource ID:

        /subscriptions/<subscription-id>/resourceGroups/my-resource-group/providers/Microsoft.KeyVault/vaults/my-keyvault

        Conclusion

        Obtaining the KeyVaultResourceId is a crucial step for managing and configuring your Azure Key Vault resources. Whether using Azure CLI, Azure PowerShell, or the Azure Portal, these methods provide straightforward ways to access your Key Vault’s unique identifier.

        By understanding and utilizing the KeyVaultResourceId, you can efficiently manage your Key Vault settings, perform operations, and integrate with other Azure services.

        For more tutorials and tips on SQL Server, including performance tuning and database management, be sure to check out our JBSWiki YouTube channel.

        Thank You,
        Vivek Janakiraman

        Disclaimer:
        The views expressed on this blog are mine alone and do not reflect the views of my company or anyone else. All postings on this blog are provided “AS IS” with no warranties, and confers no rights.

        Elevating SQL Server Performance with In-Memory OLTP Table Variables

        In the realm of database management, optimizing performance while minimizing resource contention is a perennial challenge. One of the critical areas where contention can be notably reduced is in the utilization of temporary storage mechanisms like tempdb. SQL Server’s In-Memory OLTP feature offers a compelling solution to this challenge, particularly through the use of in-memory optimized table variables. This post explores how leveraging In-Memory OLTP table variables can significantly improve performance by alleviating tempdb allocation contention, especially when compared to traditional table variables, temporary tables, or common table expressions (CTEs).

        Understanding tempdb Contention

        Before diving into the solution, it’s crucial to understand the problem. The tempdb system database in SQL Server is a shared resource used for various temporary storage activities, including user-created temporary tables, temporary stored procedures, table variables, and CTEs. However, heavy tempdb usage, particularly in high-concurrency environments, can lead to contention issues, impacting overall database performance.

        Enter In-Memory OLTP Table Variables

        In-Memory OLTP, introduced in SQL Server 2014, revolutionized how data is stored and accessed by storing designated tables and table variables in memory rather than on disk. This feature not only speeds up data access but also significantly reduces contention by bypassing traditional disk-based storage mechanisms.

        Defining an In-Memory OLTP Table Variable

        Unlike regular table variables, an in-memory OLTP table variable is defined as a user-defined table type with the MEMORY_OPTIMIZED = ON option. Here’s how to create one:

        CREATE TYPE JB_InMem_TableType AS TABLE (
        col1 INT,
        col2 DATETIME,
        col3 VARCHAR(255),
        INDEX IX_JB_InMem_TableType_Col1 NONCLUSTERED (Col1)
        ) WITH (MEMORY_OPTIMIZED = ON);
        GO

        Utilizing In-Memory OLTP Table Variables in Stored Procedures

        In-memory OLTP table variables can be seamlessly integrated into stored procedures. Here’s a simple example:

        CREATE PROCEDURE sp_proc1
        @Col1 INT
        AS
        BEGIN
        DECLARE @jb_table1 JB_InMem_TableType;
        INSERT INTO @jb_table1
        SELECT col1, col2, col3 FROM Table1
        SELECT col1, col2, col3 FROM @jb_table1 WHERE col1 = @Col1;
        END
        GO

        In this example, @jb_table1 is populated from Table1 and then queried, all while residing entirely in memory.

        Benefits Over Traditional Methods

        The use of in-memory OLTP table variables offers several advantages over traditional table variables, temporary tables, or CTEs:

        • Reduced tempdb Contention: Since in-memory objects do not rely on tempdb, they avoid contributing to tempdb contention, a common bottleneck in high-concurrency scenarios.
        • Performance Improvement: Accessing data in memory is significantly faster than disk-based access, leading to improved query performance.
        • Transactional Consistency: In-memory OLTP supports fully ACID-compliant transactions, ensuring data integrity without compromising on performance.

        Conclusion

        In-memory OLTP table variables represent a powerful tool in the SQL Server performance tuning arsenal. By leveraging in-memory storage, developers and DBAs can achieve significant performance improvements and reduce contention issues associated with tempdb. Whether you’re building high-performance applications or optimizing existing database workloads, the use of in-memory OLTP table variables is certainly worth considering.

        For more tutorials and tips on SQL Server, including performance tuning and database management, be sure to check out our JBSWiki YouTube channel.

        Thank You,
        Vivek Janakiraman

        Disclaimer:
        The views expressed on this blog are mine alone and do not reflect the views of my company or anyone else. All postings on this blog are provided “AS IS” with no warranties, and confers no rights.

        MODIFY FILE failed for database ‘tempdb’, file id 1. Size of file (41435136 KB) is greater than MAXSIZE (26214400 KB). (Microsoft SQL Server, Error: 5040)


        Introduction:

        In the dynamic realm of Azure SQL Managed Instances, configuring database file sizes is a routine task. However, challenges can arise, as I recently encountered while attempting to modify the Tempdb database file size. This blog post details the steps taken to address a perplexing error message that surfaced during this process.

        Problem Statement:
        The objective was straightforward: adjusting the maximum file size of the Tempdb database on an Azure SQL Managed Instance to 25 GB.

        However, both through the graphical user interface (GUI) and Transact-SQL (T-SQL) commands, an error persisted:

        TITLE: Microsoft SQL Server Management Studio
        ——————————
        Alter failed for Database ‘tempdb’.  (Microsoft.SqlServer.Smo)
        For help, click: https://go.microsoft.com/fwlink?ProdName=Microsoft+SQL+Server&ProdVer=16.100.47008.0&EvtSrc=Microsoft.SqlServer.Management.Smo.ExceptionTemplates.FailedOperationExceptionText&EvtID=Alter+Database&LinkId=20476
        ——————————
        ADDITIONAL INFORMATION:
        An exception occurred while executing a Transact-SQL statement or batch. (Microsoft.SqlServer.ConnectionInfo)
        ——————————
        MODIFY FILE failed for database ‘tempdb’, file id 1. Size of file (41435136 KB) is greater than MAXSIZE (26214400 KB). (Microsoft SQL Server, Error: 5040)
        For help, click: https://docs.microsoft.com/sql/relational-databases/errors-events/mssqlserver-5040-database-engine-error
        ——————————

        The error surfaced when attempting the operation through the graphical user interface (GUI), and repeating the process using Transact-SQL (T-SQL) resulted in the identical error.

        The error notification suggests that the existing size of the Tempdb database file (tempdev) exceeds the size I intended to establish. Contrary to this indication, the actual size of tempdev is only 16 MB, and my intention was to set the Maximum File size to 25 GB.

        The error message indicates that the file size is reported as 41,435,136 KB, equivalent to 39.5 GB. Attempting to establish the Maximum file size of Tempdev below 39.5 GB resulted in an error. However, setting it to 40 GB proved successful.

        This particular Azure SQL Managed Instance is of the Business Critical tier with 80 Vcores and includes 4 replicas. To delve deeper into the issue, I connected to the read replica of this managed instance through a query window, utilizing the ApplicationIntent=ReadOnly parameter.


        I’ve established a connection to the user database JBSWiki to confirm that I am indeed connected to the Read Replica, as verified by executing the following query:

        SELECT DATABASEPROPERTYEX(DB_NAME(), 'Updateability');

        Upon execution, you will observe the result as READ_ONLY, affirming your connection to the Read Replica. It’s crucial to note that running the same query under the context of Tempdb will display READ_WRITE. To avoid confusion, ensure the query is executed on a user database to validate your connection to a Read Replica.

        -> I executed below query to check the tempdb size on Read replica,

        use tempdb
        select file_id, type, type_desc, name, physical_name, size, max_size, growth, is_percent_growth from sys.database_files

        -> Below is the output,

        The size of tempdev on the read replica was configured at 39.5 GB, creating complications when attempting to adjust the Maximum file size on the Azure SQL Managed Instance. To address this, I reduced the size of tempdb on the read replica to 15 GB using DBCC SHRINKFILE. Following this adjustment, I successfully set the Maximum File size of the Tempdb data file to 25 GB.

        Summary:
        Navigating the nuances of database file sizes in an Azure SQL Managed Instance, particularly when dealing with read replicas, demands a comprehensive approach. Verifying the reported sizes, understanding the intricacies of database contexts, and proactive measures such as shrinking the Tempdb on read replicas are pivotal for resolving challenges like the ‘MODIFY FILE failed’ error. This journey underscores the significance of a meticulous troubleshooting process, ensuring a smooth configuration experience within the Azure SQL environment.

        Thank You,
        Vivek Janakiraman

        Disclaimer:
        The views expressed on this blog are mine alone and do not reflect the views of my company or anyone else. All postings on this blog are provided “AS IS” with no warranties, and confers no rights.