Both Extract and Publish operations have large performance improvements when writing to Azure Blob Storage for large database sizes. Flat files storing data can be published to a database along with a Dacpac through the Publish operation with similar command line properties. Through additional command line properties on the Extract operation (see documentation) data is written to flat files in Azure Blob Storage while the schema is stored in a Dacpac file. With version 18.7 and above of SqlPackage, Azure Synapse Analytics gains improved portability through the Parquet flat file format. In recent updates for SqlPackage, 18.7 (March 2021) and 18.7.1 (June 2021), functionality was added specific to big data in Azure Synapse Analytics, options were added to improve import performance in some scenarios, and changes were made to make the troubleshooting and general use of SqlPackage easier. To facilitate discussions and sharing of code samples for DacFx and SqlPackage, a GitHub repository has been made available. The first preview for the 160 major version of DacFx is now available, containing the completed migration to. Earlier this year SqlPackage released updates including additional support for Azure Synapse Analytics and improved performance. DacFx is a library that provides APIs for database deployment and development scenarios and SqlPackage is a command line interface to DacFx for common uses. In this article, we will cover some recent changes to the Data-Tier Application Framework (DacFx) and SqlPackage.
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