In the search box, search for Azure Key Vault.ĭ. Go to Synapse Studio > Manage > Linked services, and then select New.ī. To configure a Key Vault linked service in Synapse Studio to store the workspace key, follow these steps:įollow all the steps in the preceding section, "Option 2."Ĭreate a Key Vault linked service in Synapse Studio:Ī. For more information, see Provide access to Key Vault keys, certificates, and secrets with an Azure role-based access control. In this option, you need to grant read secret permission to workspace managed identity. (optional): The secret name in the key vault for the workspace key.: The key vault name that you configured.Leave the other values to their defaults.For the default, enter SparkLogAnalyticsSecret. On the Create a secret screen, choose the following values: On the settings page for the key vault, select Secrets. To configure Azure Key Vault to store the workspace key, follow these steps:Ĭreate and go to your key vault in the Azure portal. This is necessary to obtain the secret from Azure Key Vault with workspace managed identity. When you enable this feature in a Synapse pipeline, you need to use Option 3. You need to grant read secret permission to the users who will submit Apache Spark applications. To find this, in the Azure portal, go to Azure Log Analytics workspace > Agents > Primary key. Option 1: Configure with Log Analytics workspace ID and keyĬopy the following Apache Spark configuration, save it as spark_loganalytics_conf.txt, and fill in the following parameters: Use any of the following options to prepare the file. Step 2: Prepare an Apache Spark configuration file Create and configure a workspace in Azure Monitor by using PowerShell.Create a workspace in the Azure portal.Step 1: Create a Log Analytics workspaceĬonsult one of the following resources to create this workspace: Configure workspace informationįollow these steps to configure the necessary information in Synapse Studio. Finally, you can use an Azure Monitor workbook to visualize the metrics and logs. You can then collect and send Apache Spark application metrics and logs to your Log Analytics workspace. In this tutorial, you learn how to enable the Synapse Studio connector that's built in to Log Analytics.
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