Skip to main content

Data Modelling issues with Split, Ragged and Recursive Hierarchies in Microstrategy

TN6831: Known data modeling restrictions and solutions in MicroStrategy SQL Generation Engine 8.1.x and 9.x

https://success.microstrategy.com/t5/Architect/TN6831-Known-data-modeling-restrictions-and-solutions-in/ta-p/167845

I. Split Hierarchy with M-M relationships:

ExplanationA split hierarchy is the one - that at the lowest level - has more than one child. The schema looks like the following diagram.
TN5200-7X0-0123A.gif
TN5200-7X0-0123A.gif
ProblemReports that contain or will ignore filters on
RecommendationMicroStrategy recommends to have only one child at the lowest level.
Workaround / SolutionMake B and C IDs to be compound with A


II. In-line M-M Relationships:


ExplanationAn in-line many-to-many relationship involves an attribute with at least one parent and one child . Its relationships with them are many-to-many.
TN5200-7X0-0123B.gif
TN5200-7X0-0123B.gif
ProblemDouble counting, ignored filters.
RecommendationMicroStrategy does not recommend this type of schema.
Workaround / SolutionModify table structures, remove M-M relationship.



III. Star Schemas:


ExplanationThis schema is characterized by one lookup table per dimension, with base tables at the lowest level. This is the fastest way to set up a data warehouse:
TN5200-7X0-0123H.gif
TN5200-7X0-0123H.gif

This type of schemas is fully supported but difficulties may arise when adding aggregate tables:
TN5200-7X0-0123I.gif
TN5200-7X0-0123I.gif
ProblemDouble counting. According to the diagram above, a report that contains and the a metric SUM(SALES_AMT) will go to the aggregate table and join to the column to retrieve the description from the table. Since the column is not unique in its lookup table, the results will appear duplicated.
RecommendationMicroStrategy engine is optimized to work with snowflake schemas, where each attribute level has a distinct lookup table. Star schemas are supported, as long as fact tables are not at a higher level than the dimension tables to which they are joined. Consult the following MicroStrategy Knowledgebase document for further information.
TN19194 - Considerations for the use of star schemas with MicroStrategy SQL Generation Engine 8.1.x and 9.x
Workaround / SolutionIf aggregate tables are needed, use one lookup table per attribute to avoid double counting.



IV. Recursive Hierarchies:


ExplanationA recursive hierarchy or recursive dimension, usually consists of elements that point to other elements pertaining to the same attribute with a parent-child relationship. A classic example is an organization chart:
TN5200-7X0-0123J.gif
TN5200-7X0-0123J.gif

This information can be stored in a recursive fashion in only one table:
TN5200-7X0-0123K.gif
TN5200-7X0-0123K.gif
ProblemRecursive hierarchies are not natively supported by MicroStrategy 8.x
RecommendationExplode the schema from recursive to dimensional
Workaround / SolutionThe recursive hierarchy table has to be split into several tables, one for each level in the hierarchy. A physical snapshot of the solution is:
external image TN5200-7X0-0123_19.gif
Each attribute has a 1-M relationship with its child.
V. Ragged Hierarchies
ExplanationA ragged hierarchy is the one in which the parent attribute element of one or more
attribute elements are not in the level immediately above the attribute. In short, some attribute elements
don't have a relationship with their parent attribute, but instead have a direct
relationship with a grand-parent. Information in a ragged hierarchy may look like:
external image TN5200-7X0-0123_14.gif
Notice that the Esprit and the Diablo have a missing entry for the Branch, but they have one for the corporation.
ProblemRagged hierarchies are not natively supported by
MicroStrategy 8.x
RecommendationCreate entries for the missing attributes.
Workaround / SolutionConsider the case where the data has the following format:
external image TN5200-7X0-0123_15.gif
external image TN5200-7X0-0123_16.gif
New entries for the missing attributes should be added to the Branch attribute lookup table. These entries have to keep the one-to-many relationship of the attributes, so they can not share the same ID. As shown below for the above example, the entries should be added to the LU_BRANCH table. Additionally the BRANCH_ID column of the LU_MODEL table must also be updated:
external image TN5200-7X0-0123_17.gif
external image TN5200-7X0-0123_18.gif

Comments

  1. I truly appreciate the time and work you put into sharing your knowledge. I found this topic to be quite effective and beneficial to me. Thank you very much for sharing. Continue to blog.

    Data Engineering Services 

    AI & ML Solutions

    Data Analytics Services

    Data Modernization Services

    ReplyDelete

Post a Comment

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 . ...

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 ...

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...

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...

Enable Incremental fetch in MSTR documents

Enable Incremental fetch in MSTR documents Incremental fetch divides large documents or layouts into pages, thereby loading the data in batches (or blocks) rather than all at the same time. This improves the usability and performance of a large document or layout, by reducing the load and overall memory usage on the web server. To apply incremental fetch to a document In MicroStrategy Web, open the document in the Document Editor. If the document contains multiple layouts, select the layout to apply incremental fetch to. From the  Tools  menu, choose  Document Properties . The Document Properties dialog box opens. On the left, under Layout Properties, select  Advanced . Select the  Enable Incremental Fetch  check box. From the  Fetch Level  drop-down list, select the object to be counted for the incremental fetch level. If the document or layout is grouped, the groups are displayed in the drop-down list. Groups that are displayed...

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. A  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: ...

Email Subscription in Microstrategy

Create Email Subscription in Microstrategy Creates an email subscription. Do not include any leading or trailing spaces in the ANSWER parameters. This causes a SQL error and prevents the command from executing. Ex: CREATE EMAILSUBSCRIPTION "New Multi Users" FOR OWNER "administrator" SCHEDULE "Books Closed" CONTACTGROUP "TEST"  CONTENT "Electronics Revenue by Region" IN FOLDER "\Public Objects\REPORTS\SUBJECT Areas\Sales and Profitability Analysis" IN PROJECT "MicroStrategy Tutorial" DELIVERYFORMAT HTML  EXPIRATIONDATE NEVER EXPRIED FILENAME "file_name"   SUBJECT  "Test REPORT" MESSAGE "Please Test"; CREATE EMAILSUBSCRIPTION [ subscription_name ] [FOR OWNER login_name ] SCHEDULE schedule_name  (ADDRESS address_name | USER user_name  | CONTACT contact_name [ADDRESS contact_ address_name ] | CONTACTGROUP contact_group_name ) CONTENT ( report_or_document_name IN FOLDER   loc...

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...

Microstrategy "Error type: Odbc error. Odbc operation attempted

 "Error type: Odbc error. Odbc operation attempted: SQLExecDirect. [HYT00:0: on SQLHANDLE] [MicroStrategy][ODBC Oracle Wire Protocol driver]Timeout expired" is shown when executing reports from Web When users are trying to execute some reports in MicroStrategy web in particular, they may receive the Error “SQL Generation Complete Index out of range” and “Timeout expired” error as shown below: Possible Causes: One possible cause is that the MicroStrategy Intelligence Server using a cached database connection that was already dropped by the RDBMS. To resolve this: Admin should delete the database connection caches and create a new DSNs in case they are sharing DSNs to connect to different databases. In addition, change the settings for the ‘Connection lifetime’ and the ‘Connection idle time out’.  Follow the steps below to perform the mentioned changes and verify the report after each step and some of the settings require i-server r...

Super Cubes in MicroStrategy 2019

Super Cubes in MicroStrategy 2019 Beginning in MicroStrategy 11.0 and 2019, users will notice objects referred to as " Super Cubes ".  Super Cubes are simply a renaming of what was previously referred to as MTDI (Multi Table Data Import) Cubes. Note that only the naming convention has changed, as the functionality remains the same . This name change is visible in MicroStrategy Workstation and MicroStrategy Web. In MicroStrategy Workstation, right click on any cube created via Data Import and select Properties . The object Type is listed as Super Cube: This can also be seen when editing or authoring a dossier. In your Datasets panel, hover over the name of your dataset. The tooltip will show the dataset type listed as a Super Cube.