CSS had a support ticket in which the customer had a password field provided by the data-driven subscription dataset query. The current GitHub script fails because it is trying to add a second instance of the PASSWORD parameter. The failure is: Migrating data-driven subscription Monthly run of DATA0006116 (DataPortal) ... FAILURE: System.Web.Services.Protocols.SoapException: An internal error occurred on the report server. See the error log for more details. ---> Microsoft.ReportingServices.Diagnostics.Utilities.InternalCatalogException: An internal error occurred on the report server. See the error log for more details. ---> System.ArgumentException: Item has already been added. Key in dictionary: 'PASSWORD' Key being added: 'PASSWORD' at Microsoft.ReportingServices.Library.ReportingService2005Impl.CreateSubscription(String Report, ExtensionSettings ExtensionSettings The updated code will check if the PASSWORD parameter already exists. If it does, then it will not add the PASSWORD parameter. The customer tested the updated script code and it successfully migrated all of his RS content to the new RS server.
Samples for specific SQL Server and Azure SQL features
In-Memory OLTP can significantly improve performance of transaction processing in SQL Server and Azure SQL Database. It is a memory-optimized database engine integrated into the database engine, optimized for OLTP. With In-Memory OLTP you can increase the transaction throughput by up to 30 times, depending on the specifics of the workload.
Master Data Services (MDS) is the SQL Server solution for master data management. Master data management (MDM) enables you organization to discover and define non-transactional lists of data, and compile maintainable, reliable master lists.
SQL Server R Services (in SQL Server 2016 and above) brings R processing close to the data, allowing more scalable and more efficient predictive analytics using R in-database.
SQL Server ML Services (SQL Server 2017) brings Python processing close to the data, allowing more scalable and more efficient predictive analytics using Python in-database.
Built-in JSON functions enable you to easily parse and query JSON data stored in database, transform relational data to JSON text, and vice versa.
Built-in temporal functions enable you to easily track history of changes in a table, go back in history, and analyze historical data.
Graph tables enable you to add a non-relational capability to your database.
The SQL Server Management Objects (SMO) Framework is a set of objects designed for programmatic management of Microsoft SQL Server and Microsoft Azure SQL Database. These code snippets demonstrate features of SMO and illustrate how to use SMO properties and collections without sacrificing performance.
Samples for Business Intelligence features within SQL Server
Reporting Services provides reporting capabilities for your organziation. Reporting Services can be integrated with SharePoint Server or used as a standalone service.