Supported File Formats
When writes data to , you can choose the file format for the exported data. The following file formats are supported for the source:- (Default) CSV — Plain text comma-separated values.
- Avro — A row-based binary format that supports schema evolution.
- Parquet — A columnar storage format that is optimized for analytics.
Add the Azure Data Lake Storage Connector
Authenticate to Azure Data Lake Storage
After you add the connector, you need to set the required properties.-
File Format: Select the file format that you want to use: Delta Parquet, CSV (default), Avro, and Parquet.
The Delta Parquet and Apache Iceberg file formats are not supported for source connectors. If you select either of these formats, generates an error.
- Azure Storage Account: Enter the name of your Azure storage account.
-
URI: Enter the path of the file system and folder that contains your files (for example,
abfss://MyFileSystem/FolderName).
- Azure Active Directory (default)
- Azure Managed Service Identity
- Azure Service Principal
- Azure Service Principal Certificate
- Access Key
- Azure Storage SAS
Azure Active Directory
To connect with an Azure Active Directory (AD) user account, specify the following properties:- Auth Scheme: Select AzureAD.
- Use Lake Formation: Select True if you want the AWS Lake Formation service to retrieve temporary credentials. These temporary credentials enforce access policies against the user based on the configured IAM role. You can use this service when you authenticate through AzureAD, Okta, ADFS, and PingFederate, while providing a Security Assertion Markup Language (SAML) assertion. The default setting for Use Lake Formation is False.
Azure Managed Service Identity
Azure Service Principal
Azure Service Principal Certificate
Azure Access Key
Azure Shared Access Signature
Complete Your Connection
To complete your connection:-
Specify the following properties:
For the CSV file format:
- FMT: Enter the format that you want to use to parse all text files. The default format is CsvDelimited.
- Aggregate Files: Specify whether you want to aggregate all the files that are located in the URI directory and that have the same schema into a single table named AggregatedFiles. The default option is False.
- Include Column Headers: Specify whether you want to obtain column headers from the first lines of the specified files. The default option is True.
- Data Model: Select the data model that you want to use to parse documents for your format and to generate the database metadata. The default data model is Document.
- Aggregate Files: Specify whether you want to aggregate all the files that are located in the URI directory and that have the same schema into a single table named AggregatedFiles. The default option is False.
- Define advanced connection settings on the Advanced tab. (In most cases, though, you should not need these settings.)
- If you authenticate with AzureAD, click Connect to Azure Data Lake Storage to connect to your Azure Data Lake Storage account.
- Click Create & Test to create your connection.