![]() It is really awesome that it can increase performance of existing database application without having to upgrade the hardware. It is more interesting that Hekaton is installed with SQL Server 2014 engine that means no additional action is needed to use the benefits of in-memory processing without rewriting the database application. As Hekaton is built into core SQL Server database it will improve the performance of the database applications significantly. One of the most exciting features in this version is a project code-named “Hekaton” that provides in-memory OLTP capabilities. ![]() PivotTables connected to SSAS or Power Pivot often become completely unusable with more than six or seven fields put together on the same axis, and the only workarounds before Excel 2016 are either to write custom MDX in a named set (I show how to do this here) or if you are using SSAS Multidimensional try to use member properties instead of separate fields (as Richard Lees shows here), but neither are really great alternatives.SQL server 2014 Community Technology Preview 1 (CTP1) is ready to download here: Key Features Project code-named “Hekaton” You can probably guess that these unwanted subtotals and grand totals make the query slower, and the more fields you put together on the rows or columns of a PivotTable the greater the number of subtotals/grand totals are returned and slower things get. ![]() LANGUAGE, BACK_COLOR, FORE_COLOR, FONT_FLAGSĪnd here’s a sample of what it returns, with the unwanted values highlighted: Here’s the query:ĭIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME This PivotTable contains 12 rows, but if you look at the MDX query that is generated by Excel 2013 to populate it, it returns 36 rows of data (actually the MDX in this case returns 36 columns, but that’s a quirk of Excel) because the subtotals and grand total that Excel is not displaying are still being returned. In this case the PivotTable layout has been switched Tabular and the Repeat All Item Labels option is selected to make the PivotTable look like a table, but these are just aesthetic changes. This often happens in combination with (1) because if the user only wants to see the detailed data the subtotals and grand totals are a distraction.
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