You must use the Web modeling experience integrated into Lakehouse to generate Direct Lake datasets. To determine if queries fall back to DirectQuery mode, see Analyze query processing for Direct Lake datasets. Row counts differ depending on the size of the SKU. Limits are based on row count per table used by a DAX query. If limits are reached, queries are executed in DirectQuery mode. More definitive limits will be determined and described in this article by GA (General Availability). The following are known issues and limitations during PREVIEW:ĭirect Lake size limits are likely to change during PREVIEW. While Direct Lake mode doesn't query the SQL endpoint when loading data directly from OneLake, it's required when a Direct Lake dataset must seamlessly fall back to DirectQuery mode, such as when the data source uses specific features like advanced security or views that can't be read through Direct Lake. SQL endpointĪs part of provisioning a Lakehouse, a SQL endpoint for SQL querying and a default dataset for reporting are created and updated with any tables added to the Lakehouse. To learn how to provision a Lakehouse, create a delta table in the Lakehouse, and create a dataset for the Lakehouse, see Create a Lakehouse later in this article. The Lakehouse also provides an access point to launch the Web modeling to create a Direct Lake dataset. The Lakehouse is required because it provides the storage location for your parquet-formatted files in OneLake. Lakehouseīefore using Direct Lake, you must provision a Lakehouse with one or more delta tables in a workspace hosted on a supported Power BI or Microsoft Fabric capacity. It's not supported on Power BI Pro, Premium Per User, or Power BI Embedded A/EM SKUs. Prerequisitesĭirect Lake is supported on Power BI Premium P and Microsoft Fabric F SKUs only. Direct Lake mode can be the ideal choice for analyzing very large datasets and datasets with frequent updates at the data source. Because there's no explicit import process, it's possible to pick up any changes at the data source as they occur, combining the advantages of both DirectQuery and import modes while avoiding their disadvantages. Unlike DirectQuery, there is no translation to other query languages or query execution on other database systems, yielding performance similar to import mode. Any changes at the source are only picked up with the next dataset refresh.ĭirect Lake mode eliminates the import requirement by loading the data directly from OneLake. However, the Power BI engine must first copy the data into the dataset during refresh. On the other hand, with import mode, performance can be better because the data is cached and optimized for business-intelligence queries without having to query the data source for each DAX query submitted by a report. Any changes at the data source are immediately reflected in the query results. In DirectQuery mode, the Power BI engine queries the data at the source, which can be slow but avoids having to copy the data. Data Warehouse is not currently supported in PREVIEW.
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