Skip to main content

Microstrategy Removing sections that do not have metric data

Removing sections that do not have metric data

This is an interesting feature which might not be explored by many of us and it comes us handy.

cross join between datasets can result in rows or Group Header/Footer sections that do not have metric data. For example, a document contains two datasets. Dataset 1 contains Year and Revenue, with data for three years (2007-2009). Dataset 2 contains Year and Profit, filtered to return data for only two years (2008 and 2009). If you place Year and Profit in the Details and execute the document, it displays three rows, although no profit data exists for 2007. This is a product of the cross join between the two datasets.
You do not want to see the blank line for 2007 since it does not give you any data for profit. You can select the Trim sections for which no metric value data is available check box. This removes the row for 2007, since no metric data for Profit is available for 2007. The results are shown below:
An alternative solution is to define Dataset 2 as a primary dataset and Dataset 1 as secondary. For instructions and details, see Defining a dataset as primary or secondary.
In another example, a document contains two datasets. Dataset 1 contains Region and Revenue, filtered to display Northeast and Northwest only. Dataset 2 contains Year and Profit. Data for three years (2007-2009) is available. The document contains Region and Revenue in the Detail section. You want to display:
A Grid/Graph that contains three years of Profit in the Document Header
A row for each region, with year and profit information
You do not want to group the document by region. The document looks like the following:
The Grid/Graph contains the three rows of yearly profit data. The document contains three rows, one of which is blank, a product of the cross join between the two datasets. Since you want only a row for each region, and the blank row is not providing any information about region or revenue, it can be removed. To do this, select the Trim the sections for which no metric value data is available check box. The resulting document is shown below:

To remove sections that do not have metric data

1In MicroStrategy Web, open the document in Design Mode.
2From the Tools menu, select Document Properties. The Properties dialog box opens.
3Under Document Properties on the left, select Advanced.
4Select the Trim sections for which no metric value data is available check box.
5Click OK to return to the document.

Comments

Popular posts from this blog

MicroStrategy URL API Parameters

MicroStrategy URL Structure The following table summarizes the root URL structure used for every request to MicroStrategy Web. Environment Main Application URL Administration URL J2EE http://webserver/MicroStrategy/servlet/mstrWeb http://webserver/MicroStrategy/servlet/mstrWebAdmin .NET http://webserver/MicroStrategy/asp/Main.aspx http://webserver/MicroStrategy/asp/Admin.aspx Every request sent to MicroStrategy Web calls a central controller. Parameters are appended to  Main.aspx  or  mstrWeb  (in a .NET and J2EE environment, respectively) to indicate to the controller how the request should be internally forwarded and handled. The following examples show a URL for accessing a MicroStrategy folder when the user does not have an existing session. The URL contains not only the parameters needed to connect to MicroStrategy Web, but also the parameters needed to log on and create a session. J2EE environment: <a href="http:...

Multi-Table Data Import(MTDI) from one or more supported data sources

Multi-Table Data Import(MTDI) from one or more supported data sources In MicroStrategy Analytics Enterprise Web 10 onewards, users can now simultaneously import two or more tables from one or more supported data sources, this feature is called Multi-Table Data Import (MTDI) which has been renamed as Super Cubes in MSTR 2019 (Does it sound like multisourcing for all the users without admin help?) Currently, all connectors in MicroStrategy Web 10 except " OLAP " and " Search Engine Indices " support Multi-Table Data Import. Users are able to add multiple tables/files when doing data import from single connector, as shown below: Users are also able to combine multiple tables/files from different sources and store them into one single Intelligent Cube, as shown below:

Image URL Attribute type HTML Tag in Microstartegy

Creating and attribute with a form with Image URL Image URL Attribute: <img src='images\Folder\UBD\nstudios\N/A.png' height='120' width='163'> <img src='images\Folder\UBD\nstudios\BCU.png' height='120' width='163'> <img src='images\Folder\UBD\nstudios\IUM.png' height='120' width='163'> <img src='images\Folder\UBD\nstudios\WAR.png' height='120' width='163'> <img src='images\Folder\UBD\nstudios\TVN.png' height='120' width='163'> <img src='images\Folder\UBD\nstudios\N/A.png' height='120' width='163'> <IMG src="../images/ 1.png"  height=80 width=400> Concat("../images/Dash/", Id, ".png") ApplySimple(" '<img src=../images/Dash/'+ltrim(str(#0))+'.png height=120 width=120>' ", Id) IF((StudioName = "OURS"), "Ours...

Create a transaction services photo uploader

Create a transaction services photo uploader   1.  Create a new table "photo_upload" in Tutorial warehouse database (the default location: C:\Program Files\MicroStrategy\Tutorial Reporting\TUTORIAL_DATA_7200.mdb), as shown below:    2. The 'photo_upload' table has to be pre-populated with *exactly* 10 rows of data, the values for the 'ID' column should be 1-10 and the values for the 'uploaded' column should all be 0 3.  In MicroStrategy Desktop, create a freeform report "R1" based on the new table "photo_upload" in Tutorial data created at step 1, as shown below:   SELECT Location, Description, ID, uploaded, numbers FROM PHOTO_UPLOAD 4.  Create another table for transaction insert SQL. Make sure to create an 'autonumber' type ID as primary key for this table, or auto_increment ID for different DBs.                     5. Create...

OLAP features in Microstrategy

OLAP features in Microstrategy MSTR  OLAP Services uses Intelligent Cube Technology—an in-memory version of report data that can 1 About MicroStrategy OLAP Services  can be manipulated by the MicroStrategy Analytical Engine. MicroStrategy Desktop, Web, and Office users can slice and dice data in reports within Intelligent Cubes without having to re-execute SQL against the data warehouse.  Many of the standard OLAP features that MicroStrategy provides out of the box, such as: Page-by Pivoting Sorting Subtotals Banding Aliasing Outline mode Thresholds etc.. With an OLAP Services license, user can perform additional OLAP analysis, using the following features:  Displaying data on the fly: dynamic aggregation, page  Creating metrics on-the-fly: derived metrics, Defining attribute elements on-the-fly: derived elements,  Filtering data on the fly: view filters and metric filters,  Importing data as an Intelligent Cube

MicroStrategy VLDB properties with Hive

 Recommended VLDB Properties for use of  MicroStrategy 9 with Hive 0.7x The recommended VLDB optimizations for Hive 0.7x are listed below. These values are set by default when the "Hive 0.7x" database object is used (set at  Configuration Managers > Database Instances > Database Instance > Database connection type ) Selected Default VLDB Properties for Hive 0.7x  VLDB Category  VLDB Property Setting  Value   Tables  Fallback Table Type  Permanent Table  Tables  Maximum SQL Passes Before FallBack   0 (no threshold)  Tables  Maximum Tables in FROM Clause Before FallBack  0 (no threshold)  Tables  Drop Temp Table Method  Drop after final pass   Tables  Table Creation Type  Implicit Table  Query Optimizations   Sub Query Type   Use Temporary Table, falling back to IN (SELECT COL) for cor...

mstrio – Python and R wrappers for the MicroStrategy

mstrio – Python and R wrappers for the MicroStrategy REST APIs Connecting to MicroStrategy  Create a connection to the Intelligence Server using   Connection()   and    connect()  in Python and R, respectively. Required arguments for the   Connection()  function are the URL for the MicroStrategy REST API server, MicroStrategy Intelligence Server username and password, as well as the MicroStrategy project name. By default, the   connect()  function anticipates your MicroStrategy Intelligence Server username and password. LDAP authentication is also supported. Use the optional argument    login_mode=16    in the    connect()  function for LDAP authentication.  Extract data from cubes and reports  To extract data from MicroStrategy cubes and reports, use the   get_cube()  and   get_report()  functions. Use...

Microstrategy Document Autotext macros:

Autotext  code/macros in  Microstrategy Document/dashboard This is a list of the available auto text macros that the Report Services Document engine recognizes. The following auto text codes allow you to add  document variable information to your document. These auto text codes are automatically replaced by information about the document. Auto text codes for MSTR document/dashboard:  AUTOTEXT DESCRIPTION   {&PAGE}  Display the current page.  {&NPAGES}  Display the total number of pages.  {&DATETIME}  Display the current date and time.  {&USER}  Display the user name that is executing the Report Services Document.  {&DOCUMENT}  Display the document name.  {&DOCUMENTID}  Display the document ID.  {&DESCRIPTION}  Display the document description.  {&PROJECT}  Display the project name.  {&EXECUTIONTIME}  Dis...

Prompt-in-prompt (Nested prompt) feature in a FreeForm SQL Report

Prompt-in-prompt (Nested prompt) feature in a FreeForm SQL Report In some business scenarios, it is required to implement prompt-in-prompt (nested prompt) feature to use the answer of one prompt to qualify on the elements of another prompt in Freefrom SQL reports in MicroStrategy Developer 9.4.x-10.x. The following procedure describes how to achieve prompt-in-prompt in a Freeform SQL report in MicroStrategy Tutorial project: Create a new filter, select Add an Attribute qualification and choose the highest level attribute Country. Make sure to Qualify On: Elements. Click Prompt as the image shown below. Accept all the default values without any changes in the popped up window after clicking on "Prompt" as shown below. Save the filter as "Country Filter". Click "Prompt", choose "Use a filter to reduce the number of elements" option and select Country Filter created in last step, as shown below. Save the filter as "Region Filter...

Reduce Intelligent Cube Size By Finding Intelligent Cube Objects Which Are Not In Use

Reduce Intelligent Cube Size By Finding Intelligent Cube Objects Which Are Not In Use If the i-cubes can potentially be reduced in size an audit can be performed on the cube objects to see which cube objects are not being used by any of the view reports, documents, or dossiers.   The below are examples for a few of the common metadata database platforms . NOTE: To perform this audit, queries are run against the MicroStrategy metadata database. Ensure a metadata backup is taken prior to performing the below actions. Steps: 1) Identify the object ID of the Intelligent cube to be audited by checking the objects Property window 2) Identify the object ID of the project this cube exists within by opening the Project Configuration Sample Cube ID =   CFAF1E9B4D53990698C42E87C7AF2EB5 Sample Project ID =  B7CA92F04B9FAE8D941C3E9B7E0CD754   3) Run the below SQL against the metadata database by replacing the Cube ID and Project ID within the respective ...