![]() ![]() Now you have to create a report that will display a sales data – Total sales of product month wise. We can also see the report bottom, which columns is going to be grouped based on rows and which going to be grouped based on columns. So here we want to display only column data that are returned by dataset, so select a query fields only.įinally we click on OK button at the bottom in a dialog box. Query Field – if you want to use a query column. Ĭalculated Field – if you want to give some expression or custom formula for this column. When you add a row, it asks to select either calculated field or Query Field, so first, delete that blank row first as it is auto selected by default for a calculated field. In Fields Tab > we can see a blank row having two columns : fieldName and FieldSource.įor FieldName: you can give column Name and in FieldSource: you have to specify a corresponding query field value of that column, it must be same as defined in Query.Īdd or delete button– Add button is used to add a blank row and delete is used to delete an existing row. So to add columns in datasource > right click on Dataset1 > a Dataset Properties window opens. Īs you can see in above screenshot, column lists is not showing in Dataset1, sometimes it does not show so you have to specify them manually and if it is showing then no need to create them manually. Now you can see, Datasource, and dataset are created. Next, finally click on OK button to finish dataset step. here we provide a query that we have prepared. Next, Provide a query that will be used to show data in report. Select DataSource from a dropdown list ( if you already have an existing datasource ) else create a new datasource. Now choose either Use a shared Dataset – To use an existing dataset or use a dataset embedded in my report – to Specify a new dataset. Now create a dataset, Right click on Dataset Folder > a Dataset Properties window opens> then, In a Query tab Specify a Name for Dataset. Select Product, DateName( Month,SalesDate) as Mnth, Qty from SalesData Now create a query which returns a sales data month wise. Insert into SalesData values (' Hardware',' 3' ,50) Now Insert some records into SalesData table. Create table SalesData (SalesId Int identity(1,1) , Now create a Dataset, you can also use an existing shared dataset if you already have.īefore creating a dataset, Lets prepare a table and data for reports in SQL Server. Here we are using an existing database that’s why selected a shared datasource option. If you want to use an existing datasource then you can choose this option. If you want to create a new datasource for this report then you have to choose Embedded connection radio button and select Microsoft SQL Server as type then click on Build… to create a connection string and DataSource. In General Tab > Specify DataSource Name > Now we have two option to choose Right Click on DataSources Folder > A Data Source Properties window opens Here we have a shared dataset, and datsource. Otherwise you have to specify a new dataset and data source for report. If you have already a shared datasource, or shared dataset then you can use them. Now time to configure a data source and dataset for this report. ![]() ![]() > Select Report > Specify Report Name > Click on Add buttonĪfter clicking on Add button, you can see a Design window tab, that is your blank report page. Then, Click on Add > Next, Select New Item…Īfter selecting New Item…, a Add New Item window opens. How to create a Shared Data Source and Shared Data Set in SSRS ?Īfter Creating a project solution, Right click on Reports Folder. If you are new to SSRS report then, you can read the following posts. To Creating a SSRS Matrix Report, you need to create new project solution then add a data source, and data set to fetch a data for report else you can also take an existing project solution. It is similar like a SQL Pivot to transform data from row-level to columnar data. A SSRS Matrix report is very similar to a Tabular report, but it displays a data grouped by columns and rows, with aggregate data at the intersections. ![]()
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