Online payment facility Other Payment Options Home Businesses, Agents and Trade Professionals Cargo support, trade and goods Paying invoices to the. Top VIdeos. Warning Invalid argument supplied for foreach in srvusersserverpilotappsjujaitalypublicindex. Complex Data Binding With Grid Control Complex Data Binding With List Control Data Binding Using Binding Navigator Simple Data Binding XML AND THE DATASET. More tips to improve performance of SSRS reports. In the past I have written something about performance in combination with SQL Server Reporting Services. See  Analyze performance of your reporting services reports by using SSRS statistics and Tips to improve performance of MS Reporting service reports SSRS. In this blog post I will give some more tips to analyze and improve the performance of your SQL 2. R2 SSRS reports. To analyze the performance of your SSRS report RDL you need to understand what will have impact on the total time to generate the reports. The total time to generate a reporting server report RDL can be divided into 3 elements Time to retrieve the data Time. KB/webforms/ReportViewer/5.jpg' alt='Export Reportviewer To Pdf Landscape' title='Export Reportviewer To Pdf Landscape' />Data. Retrieval. Time to process the report Time. ProcessingTime to render the report Time. Rendering. Total time Time. Data. Retrieval Time. Save your time for big problems by using this complete collection of awardwinning performant, extensible. NET UI controls for mobile, web, and desktop. Includes. 1. BIRAWBI 1180982 How do you cache scheduled documents to the repository for f 04. BIRAWBI 1180992 You are unable to access the Administrator. Yamaha Psr I425 Style there. Kprasad2009 said. Great inputs Thanks for sharing. I have a SSRS Report, integrated into an ASP. NET application using ReportViewer control. Few of the reports are. The database recognizes 1,746,000 software titles and delivers updates for your software including minor upgrades. Table ATableDetailBackgroundColor. Processing Time. RenderingAs of SQL Server 2. R2, this 3 performance components are logged every time for which a deployed report is executed. This information can be found in the table Executionlog. Report. Server database. You can use next query SELECT TOP 1. Itempath,parameters, Time. Data. Retrieval Time. Processing Time. Rendering as total time,Time. Data. Retrieval, Time. Processing, Time. Rendering,Byte. Count, Row. Count,Source, Additional. Info. FROM Execution. Log. 3ORDER BY Timestart DESC1. Itempath. This is the location and name of the executed report RDL2. Parameter. The parameter values used to execute the report. Time. Data. Retrieval. The number of milliseconds spent interacting with data sources and data extensions for all data sets in the main report and all of its subreports. This value includes Time spent opening connections to the data source. Time spent reading data rows from the data extension. Time. Data. Retrieval is is the time needed for SQL Server to retrieve the data of all datasets in your report. This is time spent openings connections to the data source and time spent reading data rows from the data extension. Keep in mind that all dataset defined in your report will be retrieved. Even if you do not use it in the report to display the data. Remove datasets which are not used to display data. Datasets will be executed in parallel, by making use of multiple database connections. In next example you will that my report is started at 2. Total time to retrieve the data  4 seconds and 8. However every the total time of every single data set is much more 2. In this example I have a server with multiple CPUs in it. Every dataset is retrieved using a seperate database connection. See SPID 6. 1, 6. Execution these datasets over multiple database connections saves a lot of time. Time. Data. Retrieval contains the duration of the longest Data. Set. 4.  Time. Processing. The number of milliseconds spent in the processing engine for the request. This value includes Report processing bootstrap time Tablix processing time e. Text. Box. Value, Style. Processing. Scalability. Time see Additional. Info column. Processing time can be very high if you have datasets with a big number of records for which a lot of GROUP BY and SORTING need to be done. Time. Rendering. The number of milliseconds spent after the Rendering Object Model is exposed to the rendering extension. This value includes Time spent in renderer. Time spent in pagination modules. Time spent in on demand expression evaluations e. Text. Box. Value, Style. This is different from prior releases of SQL server, where Time. Processing included all expression evaluation. Pagination. Scalability. Time see Additional. Info columnRendering. Scalability. Time see Additional. Info column 6. Byte. Count. Total number of bytes received from all datasets in the report. Row. Count. Total number of records received from all datasets in the report. Source. Specifies the type of the execution. It is one of the following values Live, Cache, Snapshot, History, Ad. Hoc, Session, Rdce. Live indicates a live executed dataset queries. Cache indicates a cached execution, i. Ad. Hoc indicates either a dynamically generated report model based drillthrough report, or a Report Builder 2. Session indicates a subsequent request within an already established session e. Excel with the current session state. Rdce indicates a Report Definition Customization Extension RDCE a new feature in RS 2. The information in the Executionlog. What to do in the situation of High Time. Data. Retrieval.  Remove not used datasets from your report. Every dataset will be executed, even if it is not used to display data. Use SQL Profiler to analyze the data set query to see where you can improve your data set. See Guidelines to write well performing queries. Check if the Row. Count number of records returned by all datasets is not too big. Ask yourself is all data needed in the report. Data which is not needed should not be retrieved. Data set will be executed once. You can use one data set for multiple report parts like tablix, chart, lists, sprakline, indicator, data bar, map, gauge etc. Look if you can combine two or more data sets which are almost identical to one dataset. High Timeprocessing. Processing the data is done sequentially. The more report parts like tablix, chart, lists, sprakline, indicator, data bar, map, gauge etc. Minimize the number of records of your data set to process. Do you need all data, or can you group and sort the data in your dataset. This will lower the result set which will results in faster processing time. In most situations the SQL Server engine will group data much faster in comparions with Reporting Services. High Time. Rendering. Be critical if all rendering is needed. Enjoy it, to deliver a great user experience to your users by improving the performance of your reports.