The following examples are based on the AdventureWorks data mart and cube project, because that project is widely available, in multiple versions, including backup files that can easily be restored to Analysis Services. Pass the handle and the variable containing the MDX query into the functions executeMD or execute2D, depending on the shape of the results. execute2D Returns a two-dimensional (tabular) data frameĭefine an R variable to store the text of the MDX query.
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executeMD Returns a multi-dimensional array.Pass the handle, and the completed MDX query, into one of the following functions, depending on the shape of the results: However, you can also use the axis() function with a non-zero index value to build an MDX query with many qualifiers, or to add extra dimensions as qualifiers. If your query is relatively simple, you can use the functions columns, rows, etc. Generally, the first four axes are referred to as Columns, Rows, Pages, and Chapters. A slicer is like a filter that is applied to all MDX query data.Īxis() Specify the name of an additional axis to use in the query.Īn OLAP cube can contain up to 128 query axes. Slicers() Specify a field or members to use as a slicer.
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Rows() Provide the names of the measures to use in the ON ROWS argument. If connecting to a named instance, provide the machine name and instance name.Ĭolumns() Provide the names of the measures to use in the ON COLUMNS argument. Use the following helper functions to provide more details about the dimensions and measures to include in the MDX query:Ĭube() Specify the name of the SSAS database. Use the Query() constructor to instantiate a query object. Use the function OlapConnection(connectionString) to create a handle for the MDX query and pass the connection string. Writeback to partitions, including measures or sumsĭefine a connection string that specifies the OLAP data source (SSAS instance), and the MSOLAP provider.The following operations are not supported:
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