Skip to main content

Connection Mappings in Microstrategy


Controlling access to the database: Connection mappings

Connection mappings allow you to assign a user or group in the MicroStrategy system to a login ID on the data warehouse RDBMS. The mappings are typically used to take advantage of one of several RDBMS data security techniques (security views, split fact tables by rows, split fact tables by columns) that you may have already created. For details on these techniques, see Controlling access to data at the database (RDBMS) level.

Why use connection mappings?

Use a connection mapping if you need to differentiate MicroStrategy users from each other at the data warehouse level or if you need to direct them to separate data warehouses. This is explained in more detail below.
First it is important to know that, as a default, all users in a MicroStrategy project use the same database connection/DSN and database login when connecting to the database. This means that all users have the same security level at the data warehouse and therefore, security views cannot be assigned to a specific MicroStrategy user. In this default configuration, when the database administrator (DBA) uses an RDBMS feature to view a list of users connected to the data warehouse, all MicroStrategy users would all appear with the same name. For example, if forty users are signed on to the MicroStrategy system and running jobs, the DBA sees a list of forty users called “MSTR users” (or whatever name is specified in the default database login). This is shown in the diagram below in which all jobs running against the data warehouse use the “MSTR users” database login.
external image Connection_mapping_default.gif

Creating a connection mapping

You define connection mappings with the Project Configuration Editor in Developer. To create a connection mapping, you assign a user or group either a database connection or database login that is different from the default. For information on this, see Connecting to the data warehouse.

To create a connection mapping


1In Developer, log into your project. You must log in as a user with administrative privileges.


2From the Administration menu, point to Projects, and select Project Configuration. The Project Configuration Editor opens.


3Expand the Database Instances category, and then select Connection Mapping.


4Right-click in the grid and select New to create a new connection mapping.


5Double-click the new connection mapping in each column to select the database instance, database connection, database login, and language.


6Double-click the new connection mapping in the Users column. Click ... (the browse button). The Add Members dialog box opens.


7Select the desired user or group and click OK. That user or group is now associated with the connection mapping.


8Click OK to close the Project Configuration Editor. The new connection mapping is saved.

Connection mapping example

One case in which you may wish to use connection mappings is if you have existing security views defined in the data warehouse and you wish to allow MicroStrategy users’ jobs to execute on the data warehouse using those specific login IDs. For example,

The CEO can access all data (warehouse login ID = “CEO”)


All other users have limited access (warehouse login ID = “MSTR users”)
In this case, you would need to create a user connection mapping within MicroStrategy for the CEO. To do this:

Create a new database login definition for the CEO in MicroStrategy so it matches his or her existing login ID on the data warehouse


Create the new connection mapping in MicroStrategy to specify that the CEO user uses the new database login
This is shown in the diagram below in which the CEO connects as CEO (using the new database login called “CEO”) and all other users use the default database login “MSTR users.”
external image Connection_mapping_CEO_vs_users.gif
Both the CEO and all the other users use the same project, database instance, database connection (and DSN), but the database login is different for the CEO.
If we were to create a connection mapping in the MicroStrategy Tutorial project according to this example, it would look like the diagram below.
external image Connection_mapping_screen_shot.gif
For information on creating a new database connection, see Connecting to the data warehouse. For information on creating a new database login, see Connecting to the data warehouse.
Connection mappings can also be made for user groups and are not limited to individual users. Continuing the example above, if you have a Managers group within the MicroStrategy system that can access most data in the data warehouse (warehouse login ID = “Managers”), you could create another database login and then create another connection mapping to assign it to the Managers user group.
Another case in which you may want to use connection mappings is if you need to have users connect to two data warehouses using the same project. In this case, both data warehouses must have the same structure so that the project works with both. This may be applicable if you have a data warehouse with domestic data and another with foreign data and you want users to be directed to one or the other based on the user group to which they belong when they log in to the MicroStrategy system.
For example, if you have two user groups such that:

“US users” connect to the U.S. data warehouse (data warehouse login ID “MSTR users”)


“Europe users” connect to the London data warehouse (data warehouse login ID “MSTR users”)
In this case, you would need to create a user connection mapping within MicroStrategy for both user groups. To do this, you would:

Create two database connections in MicroStrategy—one to each data warehouse (this assumes that DSNs already exist for each data warehouse)


Create two connection mappings in the MicroStrategy project that link the groups to the different data warehouses via the two new database connection definitions
This is shown in the diagram below.
external image Connection_mapping_US_vs_Europe_users.gif
The project, database instance, and database login can be the same, but the connection mapping specifies different database connections (and therefore, different DSNs) for the two groups.

Comments

Popular posts from this blog

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 . ...

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...

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:...

Settings for Outer Join between metrics in MicroStrategy

Settings for Outer Join between metrics in MicroStrategy MicroStrategy adopts multi-pass logic to determine the execution plan for a report. This means that every metric is evaluated in separate SQL passes. Outer Joins come into play when MicroStrategy Engine merges the results from all SQL passes into one report. For a multi-pass report, different Outer Join behaviors can give the user completely different results. In addition, report metrics can be of different types which can, in some cases, influence the result of the outer join. In MicroStrategy, there are two settings that users can access to control Outer Join behavior : Formula Join Type and Metric Join Type . Metric Join Type: VLDB Setting at Database Instance Level Report and Template Levels Report Editor > Data > Report Data Options Metric Level   Metric editor > Tools > Metric Join Type Control Join between Metrics Formula Join Type: Only at Compound/Split...

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...

Images in Microstrategy PDF Export shows Red X

When exporting a report containing an image attribute form (using an ApplySimple statement) to PDF in MicroStrategy Web 9.4.1 and 10.x, with the Intelligence Server running on Linux, the image in the exported PDF report appears as a red "X". When exporting a report containing an image attribute form (using an ApplySimple statement) to PDF in MicroStrategy Web 9.4.1 and 10.x, with the Intelligence Server running on Linux, the image in the exported PDF report appears as a red "X" as shown below: However, the images in the report display properly when the report is executed in MicroStrategy Developer and Web. Furthermore, when the report is exported to PDF on Desktop (with the original images saved in WebASPX\Images), the images in the report display properly, as indicated below: CAUSE This is expected behavior. When the report is displayed in MicroStrategy Developer and Web, or when the report is exported to PDF from MicroStrategy Dev...

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...

Prompt-in-prompt(Nested Prompts) in Microstrategy

Prompt-in-prompt(Nested Prompts) in  Microstrategy Nested prompts allows you to create one prompt based on the other and other bases on another, nested prompts allows us to prompt the highest level(Like year) to middle level(like Quarter, then to the low level(like Month). Here you can see how to  create a 3-level deep nested prompt that will prompt the user to select a year, then a quarter within that year, then a month within that quarter. Prompt-in-prompt is a feature in which the answer to one prompt is used to define another prompt. This feature is only implemented for element list prompts . The following procedure describes how to achieve this: Create the highest level filter. This is a filter which contains a prompt on an attribute element list. Create a filter on the attribute "Year." Click "prompt on attribute element list" and click "Next" through the rest of the screens to accept the default values. Do not set any additio...

Types of result caches in Microstrategy

Types of result caches Microstrategy The following types of  result caches are created by Intelligence Server: • Matching caches • History caches • Matching-History caches • XML caches All document caches are Matching caches; documents do not generate History caches or XML caches. Intelligent Cube reports do not create Matching caches. Matching caches Matching caches  are the  results of reports and documents that are retained for later use by the same requests later on. In general, Matching caches are the type of result caches that are used most often by Intelligence Server. When result caching is enabled, Intelligence Server determines for each request whether it can be served by an already existing Matching cache. If there is no match, it then runs the report or document on the database and creates a new Matching cache that can be reused if the same request is submitted again. This caching process is managed by the system administrator and ...

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...