Skip to main content

Prompt-in-prompt (nested prompt) in a FreeForm SQL Report in MicroStrategy

Prompt-in-prompt (nested prompt) feature in a FreeForm SQL Report in MicroStrategy

 The following procedure describes how to achieve prompt-in-prompt in a Freeform SQL report in MicroStrategy Tutorial project:
  1. 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".

  2. 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".

  3. Select Filter definition prompt -> Choose from an attribute element list as shown below.

    Choose attribute Call Center and use the Region Filter created in the previous step. Accept the other default values. Save the prompt as "Call Center Prompt".
  4. Create a FreeForm SQL Report and add this nested prompt into it.
    Type SQL statement and insert Call Center Prompt created in the previous step.
  5. Save and run the report. It will prompt for Country, Region and Call Center one by one in different pages. As images below.



Versions: 10.7;10.6;10.5;10.4;10.3;10.2;10.1;10.0;9.5.1;9.4.1
Labels:

Comments

Post a Comment

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:...
2 comments
Read more

Case functions Microstrategy

Ca se functions Microstrategy Case functions return specified data in a SQL query based on the evaluation of user-defined conditions. In general, a user specifies a list of conditions and corresponding return values. Case This function evaluates multiple expressions until a condition is determined to be true, then returns a corresponding value. If all conditions are false, a default value is returned.  Case  can be used for categorizing data based on multiple conditions. This is a single-value function. Syntax Case ( Condition1 ,  ReturnValue1 ,  Condition2 , ReturnValue2 ,...,  DefaultValue ) Example Case(([Total Revenue] < 300000), 0, ([Total Revenue] < 600000), 1, 2) sum(Case (Day@DESC in (“Sat”,”Sun”), Sales, 0) {~+} Sum(Case(Category@DESC In("Books","Electronics"),Revenue,0)){~+} CaseV (case vector) CaseV  evaluates a single metric and returns different values according to the results. It can be used to perfo...
3 comments
Read more

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...
Post a Comment
Read more

Configure Connection Mapping in Microstrategy

Configure Connection Mapping in Microstrategy The following steps demonstrate the second scenario where two different data warehouses are used within the same project: Create two different database connections -                                                                                        One that points to the data warehouse for the European users                                                                 and the other that points to the data warehouse for USA users as shown below: Select Europe as the default database connection for the database Instance as seen below: Go to P...
Post a Comment
Read more

The logical table size calculation in Microstrategy

The logical table size calculation in Microstrategy The logical table size is an integer number that represents the granularity or level of aggregation of a particular table. It is called 'logical' because it is not related to the physical size of the tables (number of rows). It is calculated according to the attribute IDs that are present in the table and their level in the system hierarchy.   Even though, the number does not reveal the actual number of rows in the table, it is an accurate way of measuring a table size without having to access its contents.   MicroStrategy Engine utilizes an algorithm based on attribute keys to calculate the Logical Table Size (LTS):   Given the following tables:     The algorithm that calculates the table sizes performs the following steps: Calculate the number of levels per hierarchy: Hierarchy 1: 3 Hierarchy 2: 4 Calculate each attribute individual weight according to the level in the hierarchy (level in hierarchy/number of ...
Post a Comment
Read more

Control the display of null and zero metric values

Show   Control the display of null and zero metric values in a grid report You can determine how to display or hide rows and columns in a grid report that consist only of null or zero metric values. You can have MicroStrategy hide the rows and columns in the following ways: Hide rows and columns that consist only of null metric values Hide rows and columns that consist only of zero metric values Hide rows and columns that consist only of null or zero metric values (default) Once you have defined how MicroStrategy hides null and zero metric values in the grid, you can quickly show or hide the grid using the Hide Nulls/Zeros option in the Data menu, as described below, or by clicking the  Hide Nulls/Zeros  icon  in the Data toolbar. To determine how null and zero metric values are displayed or hidden in a grid report Open the report in Edit mode. From the  Tools  menu, select  Report Options . The Report Options...
Post a Comment
Read more

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 ...
Post a Comment
Read more

Create an alert-based subscription in MicroStrategy Distribution Services

Create an alert-based subscription in MicroStrategy Distribution Services on Web Subscription to a report or Report Services document which will be executed when a certain conditional threshold is met based on another executing report. For example, a scheduled report executes which shows the Revenue by day for the past week. If the Revenue on any one day falls below a certain value, a subscription to another report or Report Services document can be triggered and delivered to a recipient. An alert based subscription can only be created directly on a report; however, another report or Report Services document can be delivered when the alert based subscription is triggered. Note: you need a grid report to create an alert and you cannot create if you want to create on a document with text boxes. The following example will walk through the basic steps on how to setup a subscription based on an alert like this: Follow the brief  steps bel...
2 comments
Read more

Predictive modelling in Data Science using Microstrategy

Creating a predictive modelling in MicroStrategy MicroStrategy Data Mining Services has been evolving to include more data mining algorithms and functionality. One key feature is MicroStrategy Developer’s Training Metric Wizard. The Training Metric Wizard can be used to create several different types of predictive models including linear and exponential regression, logistic regression, decision tree, cluster, time series, and association rules. Linear and exponential regression The linear regression data mining technique should be familiar to you if you have ever tried to extrapolate or interpolate data, tried to find the line that best fits a series of data points, or used Microsoft Excel’s LINEST or LOGEST functions. Regression analyzes the relationship between several predictive inputs, or independent variables, and a dependent variable that is to be predicted. Regression finds the line that best fits the data, with a minimum of error. For example, you have a dataset ...
1 comment
Read more