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This is a design choice that makes a big performance difference. Drill-down would be a wonderful UI choice if it weren t for the problem of performance. The issue here is similar to filters. All the data is brought over from the database. Even though the user might never drill down into the data, all of the data is still retrieved. Imagine your query returns an entire year of sales data. You show the per-week totals that can be expanded to show by day and the by-day expanded to show the detail information. This type of report would mean that all the year s sale data is being processed by the RS engine, which puts a large burden on your server. A better way of handling this is to design a drillthrough report instead, because RS is optimized for this type of report. Plus, I ve found that users find the interface quite easy and intuitive. Taking the same example as before, I d create a report that summarizes the sales per week. Next, I d add a column and put in a text box report item that says By Day, add an underline, and make it blue. Then I d use Jump To Report to open up the By Day report.

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9 Save the script under a name of your choice 10 Press z-R or click the Run button on the toolbar to run the script When the dialog box

Another advantage of drillthrough reports is that the reports you design are more likely to be useful when brought into Excel. In my experience, it s best to always keep in mind the efficacy of exporting the data to Excel. Using drillthrough reports accomplishes both tasks.

I ve seen people try to use RS as a data extraction tool like SSIS or BCP. This isn t a good idea. But Excel is a powerful tool, and power users will always come up with new ways of looking at and analyzing the data. Invariably, users will want to pull large amounts of data into their spreadsheets for further analysis. What you want to do is make this as quick and easy as possible for them. This was a particular issue with SQL Server 2000, which was extremely slow at rendering in Excel format. Even with later versions of RS, if the data is large enough, you ll want the fastest way possible to get the underlying data from the report into Excel. The absolute fastest way to do this is to export in CSV format. The problem is that RS 2000 and RS 2005 export CSV in Unicode format. When Excel imports Unicode format, the data is all put into a single field instead of splitting it into individual cells. The solution is to configure RS to render CSV in ASCII format instead of Unicode by editing rsreportserver.config as shown in listing 2. You ll need to stop and restart RS for the change to take effect. Note that this isn t a problem in RS 2008, because it defaults to ASCII.

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appears (see Figure 12-3), click the Yes button if you want to delete the album Click the No button if you want to check the album s contents and then delete it manually

<!-<Extension Name="CSV" Type="Microsoft.ReportingServices.Rendering.CsvRenderer.CsvReport, Microsoft.ReportingServices.CsvRendering"/> --> <Extension Name="CSV" Type="Microsoft.ReportingServices.Rendering.CsvRenderer.CsvReport, Microsoft.ReportingServices.CsvRendering"> <Configuration> <DeviceInfo> <Encoding>ASCII</Encoding> </DeviceInfo> </Configuration> </Extension>

Creating the connection to the database is a resource-intensive task. Connection pooling reuses connections instead of creating a new connection each time. In order for connection pooling to work its performance magic, the connection string must match exactly. This includes the login. In order to benefit from connection pooling with your reports, you need to do two things.

Working with Mail accounts Working with mailboxes Creating and sending messages Dealing with incoming messages Working with tasks

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