Has anyone encountered this issue and has solutions to speed up the performance. I have contacted DevExpress support and they told me that I have to calculate summaries myself and then paint them but isn't the whole point of their feature for them to do this? They all support things like grouping headers and drill downs. I used performance profiler dotTrace 2016.1.2 and it looks like DevExpress XtraGrid fires off DoTypedSum when OnListChanged is fired and recalculates summaries for each group row each time BindingList is updated. I think you will be best served with a third party grid control, like DevExpress XtraGrid or Janus GridEx, at least until Microsoft decides to provide us with a useful (for anyone doing anything more than very basic data processing) grid control. When I have 1500 items the XtraGrid blocks UI thread and whole application locks up. When I have 300 items and grid is grouped by one column with market data turned on the lag is minimal and group summary recalculates without a problem. Add this topic to your repo To associate your repository with the xtragrid-suite topic, visit your repo's landing page and select 'manage topics. There is a market data feed that updates BindingList quite frequently (every 5 sec) and then BindingList fires of OnListChnaged. When I create a GridColumn that needs to show a summary I subsequently create GridSummaryItem for that column. I have customized BindingList for XtraGrid datasource where T is just POCO objects. What I wanted to do is to group by any column and then some of the numeric columns will show totals in the group row. If you ungroup a group of selected items, only the selected items will be ungrouped.Using DevExpress XtraGrid 16.2 for grouping and aggregation. ![]() Note that ungrouping a numeric or date and time field will remove all groups for that field. Select any cell in the grouped field and on the Pivot Table Tools | Analyze tab, in the Group group, click the Ungroup button. For more information, see How to: Customize the Appearance of Cells in the Windows Forms DataGridView Control and How to: Set Default Cell Styles for the Windows Forms DataGridView Control. Right-click the grouped field and select Ungroup. For more information, see Walkthrough: Implementing Virtual Mode in the Windows Forms DataGridView Control. To ungroup data in a pivot table, do one of the following. The resulting report is shown in the image below. To do that, right-click the group header and select the Subtotal 'Field Name' item. You can also enable or disable displaying the subtotal for the created group. To rename the group, select the group header, press F2 and type the required name. or on the PivotTable Tools | Analyze tab, in the Group group, click the Group Selection button.Īs a result, the selected range will be combined into a single group. Right-click the selected range and select the Group item from the context menu. ![]() Select the items that you want to group.Type in start value, end value, interval and click OK. Right-click a cell within a row or column field containing numeric values and select Group. Also see How to: Set Alternating Row Styles for the. There is support for this task in Visual Studio. This enables you use style characteristics like foreground color and font, in addition to background color, to differentiate alternating rows. ![]() Type the first and last date or time you want to group by, select one or more date or time intervals for grouping and click OK.Īs a result, the date field will be grouped as shown in the image below. With the DataGridView control, you can specify complete style information for alternating rows. or on the PivotTable Tools | Analyze tab, in the Group group, click the Group Field button. Right-click a cell within a row or column field containing dates and select Group. The following topic describes how to group dates, numbers or selected items in a pivot table. structure and formatting We have also prepared a similar sample to export two grids into separate worksheets No. ![]() Grouping can help you get a clearer view of data and show only data you want to analyze.
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