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mkdocs/docs/configuration.md

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@@ -581,11 +581,21 @@ catalog:
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type: rest
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uri: https://onelake.table.fabric.microsoft.com/iceberg
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warehouse: <fabric_workspace_id>/<fabric_data_item_id> # Example : DB0CE1EE-B014-47D3-8F0C-9D64C39C0FC2/F470A1D2-6D6D-4C9D-8796-46286C80B7C0
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token: <token>,
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adls.account-name: onelake,
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adls.account-host: onelake.blob.fabric.microsoft.com,
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adls.credential: <credential>, # You can use DefautlAzureCredential from `azure.identity` package or refer to other authentication flows from [here](https://learn.microsoft.com/en-us/entra/identity-platform/authentication-flows-app-scenarios)
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adls.credential: <credential>
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```
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<!-- prettier-ignore-start -->
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!!! Note "OneLake Authentication Models"
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For Authentication: You can use DefautlAzureCredential from `azure.identity` package or refer to other authentication flows from [here](https://learn.microsoft.com/en-us/entra/identity-platform/authentication-flows-app-scenarios).<br/>
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Please refer to [OneLake table APIs for Iceberg](https://aka.ms/onelakeircdocs) for more details.
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<!-- prettier-ignore-end -->
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### SQL Catalog
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The SQL catalog requires a database for its backend. PyIceberg supports PostgreSQL and SQLite through psycopg2. The database connection has to be configured using the `uri` property. The init_catalog_tables is optional and defaults to True. If it is set to False, the catalog tables will not be created when the SQLCatalog is initialized. See SQLAlchemy's [documentation for URL format](https://docs.sqlalchemy.org/en/20/core/engines.html#backend-specific-urls):

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