MSTR Report Pre and Post Statements

Report Post Statement

The Report Post Statement settings insert custom SQL statements after the final SELECT statement but before the DROP statements. The settings are numbered 1-5. Each text string entered in Report Post Statement 1 through Report Post Statement 4 is executed separately as a single statement. To execute more than five statements, insert multiple statements in Report Post Statement 5, separating each statement with a semicolon (;). The SQL Engine breaks them into individual statements at the semicolons and executes each separately. The custom SQL is applied to every intermediate table or view.

Report Pre Statement

The Report Pre Statement settings insert custom SQL statements at the beginning of the report SQL. The settings are numbered 1-5. Each text string entered in Report Pre Statement 1 through Report Pre Statement 4 is executed separately as a single statement. To execute more than five statements, insert multiple statements in Report Pre Statement 5, separating each statement with a semicolon (;). The SQL Engine breaks them into individual statements at the semicolons and executes each separately.

Table Post Statement

The Table Post Statement settings insert custom SQL statements after the CREATE TABLE and INSERT INTO statement. The settings are numbered 1-5. Each text string entered in Table Post Statement 1 through Table Post Statement 4 is executed separately as a single statement. To execute more than five statements, insert multiple statements in Table Post Statement 5, separating each statement with a semicolon (;). The SQL Engine breaks them into individual statements at the semicolons and executes each separately. The custom SQL is applied to every intermediate table or view

Comments

HyperIntelligence Training Videos

HyperIntelligence Training Videos Design and build hyper cards Optimizing Datasets for HyperIntelligence Using the HyperIntelligence for Office Outlook Add-In Building HyperIntelligence Cards Using HyperIntelligence for Mobile on Android Deploying HyperIntelligence for Outlook Insights On-The-Go: HyperIntelligence for Mobile Building HyperIntelligence Profile Cards Designing Custom HyperIntelligence Cards Using the Calendar with HyperIntelligence for Mobile

Microstrategy Custom number formatting symbols

Custom number formatting symbols If none of the built-in number formats meet your needs, you can create your own custom format in the Number tab of the Format Cells dialog box. Select Custom as the Category and create the format using the number format symbols listed in the table below. Each custom format can have up to four optional sections, one each for: Positive numbers Negative numbers Zeros Text Each section is optional. Separate the sections by semicolons, as shown in the example below: #,###;(#,###);0;"Error: Entry must be numeric" For more examples, see Custom number formatting examples . To jump to a section of the formatting symbol table, click one of the following: Numeric symbols Character/text symbols Date and time symbols Text color symbols Currency symbols Conditional symbols Numeric symbols For details on how numeric symbols apply to the Big Decimal data type, refer to the Project Design Guide . ...

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...

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...

Types of filters in Microstrategy

Types of filters in Microstrategy Below are the types of filters: 1. Attribute qualification filter These types of qualifications restrict data related to attributes on the report. a) Attribute form qualification Filters data related to a business attribute’s form(s), such as ID or description. • For example, the attribute Customer has the forms ID, First Name, Last Name, Address, and Birth Date. An attribute form qualification might filter on the form Last Name, the operator Begins With, and the letter H. The results show a list of customers whose last names start with the letter H. b) Attribute element list qualification Filters data related to a business attribute’s elements, such as New York, Washington, and San Francisco, which are elements of the attribute City. • For example, the attribute Customer has the elements John Smith, Jane Doe, William Hill, and so on. An attribute element list qualification can filter data to display only those customer...

Microstrategy Dossiers explained

Microstrategy Dossiers With the release of MicroStrategy 10.9, we’ve taken a leap forward in our dashboarding capabilities by simplifying the user experience, adding storytelling, and collaboration.MSTR has evolved dashboards to the point that they are more than dashboards - they are interactive, collaborative analytic stories . Ultimately, it was time to go beyond dashboards, both in concept and in name, and so the've renamed VI dashboards to ‘ dossiers ’. Dossiers can be created by using the new Desktop product or Workstation or simply from the Web interface which replaces Visual Insights. All the existing visual Insights dashboards will be converted to Dossiers With MicroStrategy 10.9, there was an active focus on making it easier to build dashboards for the widest audience of end users. To achieve this, some key new capabilities were added that make it easier to author, read, interact and collaborate on dashboards ...

Apply or Pass-through functions in Microstrategy

Ap ply (Pass-Through) functions MSTR Apply functions provide access to functions or syntactic constructs that are not standard in MicroStrategy but are provided by various RDBMS systems.. Syntax common to Apply functions Apply Function Name ("expression with placeholders", Arg1, Arg2, Arg3, …ArgN) where: Apply Function Name – is a generic name used for the predefined pass-through functions described above expression with placeholders – is the string describing the actual expression or syntax that the engine uses while generating the SQL and which is sent to the RDBMS. The placeholders are represented by #0, #1, and so on. "#" is a reserved character for MicroStrategy. Arg – is an argument that replaces the parameter markers in the pattern. Arg1 replaces #0, Arg2 replaces #1, and so on. There are five pre-defined Apply functions to replace regular, predefined functions of the same type. For more details, cli...

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...

Customers Who Live in the Same City as Call Centers

Customers Who Live in the Same City as Call Centers Your new utility company has call centers located throughout the country, and your recent surveys indicate that customers who live in the same city as a call center are particularly satisfied with service due to extremely rapid repairs during power outages. To begin your new advertising campaign, you want to generate a list of Call Centers that coincide with Customer Cities. The following steps create an attribute-to-attribute qualification filter that generates the list of desired cities. To Create an Attribute-To-Attribute Qualification that Compares the Call Center and Customer City Attributes In MicroStrategy Web, log in to a project. Open any folder page (for example, click Shared Folders on the home page). Click the Create Filter icon . From the Object browser on the left, select the Customer City attribute from the Customers hierarchy and drag it to the filter pane on the right. Change Qualify...

Microstrategy Analytics

Search This Blog