![]() ![]() ![]() On the other side, if you are using stored procedures, where the column-types returned are not really known to the environment, i didn't just find a useful solution for data transformation. If MS Visual Studio Integration Services environment knows the types of columns, that are returned by an sql select statement, type conversion seems not to be a problem. This article sounds very interesting to me. Wednesday, Decem6:23:21 PM - Gerhard Kandler View more SSIS Data Flow Transformation tips courtesy of here.Here is another tip to consider when changing data types - Performance Comparison of the SQL Server PARSE, CAST, CONVERT and TRY_PARSE, TRY_CAST, TRY_CONVERT Functions. Performance testing may vary based on each system due to available resources and the data type conversion. As you can see the performance differences in my testing were very minimal.SQL Server CAST Function with OLEDB Destination Record Count The following test is performed using a OLEDB Destination: SQL Server Integration Services Data Conversion Task with OLEDB Destination Record Count SQL Server CAST Function with Excel Destination Record Count The following test is performed using an Excel Destination: SQL Server Integration Services Data Conversion Task with Excel Destination Record Count the SSIS Data Conversion TaskĬheck out the tables below for performance measures. SQL Server Performance Analysis for the T-SQL CAST Function vs. ![]() You can see that using the CAST function provides the same results as using the Data Conversion task, but which one is better for performance? Right click Connection Managers in Solution Explorer and choose New Connection Manager: Next, we can go ahead and configure a Connection Manager to our database. Let's look at the Data Conversion task first.įirst, open Visual Studio (or Business Intelligence Dev Studio if you're using pre SQL Server 2012) and create an SSIS project. SQL Server Integration Services Data Conversion Task to Convert Data Types The task itself isn't too complicating to setup as I'll show you in this tip. This task will convert the data in an input column to a different data type and then copy it to the output column. The second way is using the Data Conversion Transformation Task.Date and Time Conversions Using SQL Server.SQL Server function to convert integer date to datetime format.Performance Comparison of the SQL Server PARSE, CAST, CONVERT and TRY_PARSE, TRY_CAST, TRY_CONVERT Functions.offers numerous tips regarding how to use CAST. The scope of this tip is not intended on going into detail about the CAST function, but I will show a quick example. Using the CAST function in your code can convert one data type into another. There are two ways of converting data types within SQL Server Integration Services (SSIS). ![]()
0 Comments
Leave a Reply. |