Sapup tool connector failed relationship

Microsoft Power BI and SAP BW Data Warehouse Connectivity step by step | SAP Blogs

This updated version of the SAP BW connector was developed by The SAP NetWeaver library is usually included also in the SAP Client Tools installation. data or making further modifications using the Data or Relationships views. to BAPI_USER_GET_DETAIL is failing for a particular user (the user. Considerations when using DirectQuery with SAP HANA. The approach used to connect is determined by a global tool option, which . data from multiple SAP HANA views, and create relationships between the resulting tables. . Brug af SAP BW connector i Power BI Desktop (Eksempelvisning) · Brug. ResourceManagement(ERP), Customer Relationship Management (CRM), legacy systems to avoid the feared failure of built-in clock algorithms in many An example is the ERP leading vendor SAP, which has introduced spatial connectors. For instance, the Belgian utility firm Pidpa uses ArcIMS to create a website.

However, it's still possible to make many additions and changes, including defining measures, renaming and hiding fields, and defining display formats. No support for calculated columns: The ability to create calculated columns is disabled.

DirectQuery for SAP HANA in Power BI - Power BI | Microsoft Docs

This also means that Grouping and Clustering, which create calculated columns, are not available. Additional limitations for measures: No support for defining relationships: Only a single view can be queried within a report, and as such, there's no support for defining relationships. The Data View normally displays the detail level data in the tables. Column and measure details are fixed: The list of columns and measures seen in the field list are fixed by the underlying source, and cannot be modified.

For example, it's not possible to delete a column, nor change its datatype it can, however, be renamed. Additional limitations in DAX: There are additional limitations on the DAX that can be used in measure definitions, to reflect limitations in the source. For example, it's not possible to use an aggregate function over a table. No aggregation of columns: It's not possible to change the aggregation for a column on a visual, and it is always Do Not Summarize.

For example, you can create calculated columns, include data from multiple SAP HANA views, and create relationships between the resulting tables. However, when using SAP HANA in this manner, it's important to understand certain aspects of how connections are treated, to ensure the following: The results are as expected, when the SAP HANA view contains non-additive measures for example, distinct counts, or averages, rather than simple sums.

The resulting queries are efficient It's useful to start by clarifying the behavior of a relational source such as SQL Server, when the query defined in Get Data or Query Editor performs an aggregation. The data is imported at the level of aggregation defined by the query created in Query Editor. For example, average price by product. In a visual, any subsequent aggregation such as Sum, Average, Min, others is performed over that imported data.

For example, including AveragePrice on a visual will use the Sum aggregate by default, and would return the sum over the AveragePrice for each ProductID — which in this example case would be The same applies to any alternative aggregate function such as Min, Average, so on used on the visual.

For example, Average of AveragePrice returns the average of 6. If DirectQuery over that same relational source is being used instead of Import, the same semantics apply and the results would be exactly the same: Given the same query, logically exactly the same data is presented to the reporting layer — even though the data is not actually imported.

In a visual, any subsequent aggregation Sum, Average, Min, others is again performed over that logical table from the query.

And again, a visual containing Average of AveragePrice returns the same 4.

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You can download the SAP. The connector comes in bit and bit versions, and users must choose the version that matches their Power BI Desktop installation.

At the time of this writing, the website lists two versions for. SAP Connector for Microsoft. You can also specify two additional Advanced options: Language code, and a custom MDX statement to run against the specified server. If no MDX statement was specified you are presented with the Navigator window, which displays the list of cubes available in the server, with the option to drill down and select items from the available cubes, including dimensions and measures.

When you select one or more items from the server, a preview of the output table is created, based on their selection. The Navigator window also provides a few Display Options that allow you to do the following: This option is useful for verifying the final set of items selected. An alternative approach to viewing this is to select the Column Names in the Preview area.

Use SAP HANA in Power BI Desktop - Power BI | Microsoft Docs

Enable Data Previews default behavior: You can also control whether data previews should be displayed in this dialog. Disabling data previews reduces the amount of server calls, since it no longer requests data for the previews. SAP BW supports the notion of technical names for objects within a cube. Technical names allow a cube owner to expose user friendly names for cube objects, as opposed to only exposing the physical names for those objects in the cube.

After selecting all necessary objects in the Navigator, you can decide what to do next, by selecting one of the following buttons on the bottom of the Navigator window: Selecting Load triggers loading the entire set of rows for the output table into the Power BI Desktop data model, then takes you to Report view where you can begin visualizing the data or making further modifications using the Data or Relationships views.

Selecting Edit brings up Query Editor, where you can perform additional data transformation and filtering steps before the entire set of rows is brought into the Power BI Desktop data model. In addition to importing data from SAP BW cubes, remember that you can also import data from a wide range of other data sources in Power BI Desktop, and then you can combine them into a single report.

To create a new connection, take the following steps. You're presented with the new connection dialog, which allows selection of the implementation. New options for Implementation 2. Valid options are the following: BasXmlGzip may improve performance when experiencing high latency for large datasets.

BatchSize - Specifies the maximum number of rows that will be retrieved at a time when executing an MDX statement. A small number of rows will translate into more calls to the server while retrieving a large dataset. The default value is rows. EnableStructures - A logical value indicating whether characteristic structures are recognized.

The default value for this option is false. Affects the list of objects available for selection.