Azure Storage Metadata

The Qlik Azure Storage Metadata connector uses the Azure Blob API to access your Azure Storage metadata, like the names of files and subfolders in your Azure Storage account.

Qlik Cloud 政府 users have additional Microsoft data sources to access government services. US Government data sources are named according to the environment they connect to, such as Azure Storage Metadata GCC High.

Ways to access your data

To access your Azure Storage metadata, you need to authenticate the connector with your Azure Storage account credentials. After you create a connection, select Azure Storage Metadata as your data source, enter the blob container path, and select Authenticate. You are redirected to a Azure Storage login page. Log in with your credentials to retrieve an authentication token, and enter it into the connector.

To ensure continuous access, the refresh token is stored so it can be used to update the connection automatically. This is done to avoid timeouts and token expiration. If the connection is not used for 90 days, the token will expire and you must refresh authentication manually.

Creating a data source connection

Loading data from tables

After you authenticate the connector with your account credentials, use the tables to fetch your data. Below are use cases for some of the available tables:

Tables that can be loaded
Table	Description
ListBlobs	Use this to list the files and subfolders of a blob repository located in your Azure Storage account.
GetBlobProperties	Use this to list the metadata and properties for a blob repository.

To select and load data from a table, enter the required table parameters and click Preview data. Required parameters are marked with an asterisk (*) in the dialog. The table fields are displayed under the Data preview tab. You can select fields individually by selecting the box beside each field name. Select Insert script after you have made your selection.

Creating a connection and selecting data

Reference - Azure Storage documentation

You can refer to the Microsoft Azure Blob service REST API documentation to learn more about the requirements and restrictions imposed by the API.

Microsoft Azure Blob service REST API

Troubleshooting

You receive an error message that you have reached the API rate limit

可能的原因

You have exceeded the API limits that are imposed by the Azure Blob API.

建議的行動

To reduce the impact of reaching API rate limits, develop your app with the following in mind:

Extract only the data you need.
Reload one Azure Storage-based application at a time.
Ensure that loops in your script that make API calls do not result in infinite loops.

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