The key specified is the true key for the warehouse table

“The key specified is the true key for the warehouse table”

The screen shot below illustrates the setting "The key specified is the true key for the warehouse table" in the logical view of a warehouse table:

This setting is only applicable when the attributes on the template are comprised of all the attributes listed as table keys in the logical view of the fact table. Therefore, when checked, this setting forces the Structured Query Language (SQL) to not aggregate the data and to pull only from the fact tables directly.

The following SQL demonstrates the difference between two identical reports when this setting is checked and when it is not. The report SQL is provided below the grid view.

The first report was run against the fact table City_Subcateg_Sls without the "The key specified is the true key for the warehouse table" checked. It demonstrates aggregation by the metric:

select a11.CUST_CITY_ID CUST_CITY_ID,
max(a12.CUST_CITY_NAME) CUST_CITY_NAME,
a11.SUBCAT_ID SUBCAT_ID,
max(a13.SUBCAT_DESC) SUBCAT_DESC,
sum(a11.TOT_COST) COST
from CITY_SUBCATEG_SLS a11
join LU_CUST_CITY a12
on (a11.CUST_CITY_ID = a12.CUST_CITY_ID)
join LU_SUBCATEG a13
on (a11.SUBCAT_ID = a13.SUBCAT_ID)
group by a11.CUST_CITY_ID,
a11.SUBCAT_ID

The following SQL demonstrates that by having all the keys from the fact table on the report template, the setting "The key specified is the true key for the warehouse table" allows the metric to return the values straight from the fact table without aggregation. This optimizes the SQL generated considerably:

select a11.CUST_CITY_ID CUST_CITY_ID,
a12.CUST_CITY_NAME CUST_CITY_NAME,
a11.SUBCAT_ID SUBCAT_ID,
a13.SUBCAT_DESC SUBCAT_DESC,
a11.TOT_COST COST
from CITY_SUBCATEG_SLS a11
join LU_CUST_CITY a12
on (a11.CUST_CITY_ID = a12.CUST_CITY_ID)
join LU_SUBCATEG a13
on (a11.SUBCAT_ID = a13.SUBCAT_ID)

Comments

Fact tables levels tables in Microstrategy explained

Fact tables levels in Microstrategy: Fact tables are used to store fact data. Fact tables should contain attribute Id's and fact values which are measurable. All the descriptive information about the fact tables should stored in Dimension tables either in Star Schema fashion or Snow Flake Schema fashion which is best suited to your reporting solution. Since attributes provide context for fact values, both fact columns and attribute ID columns are included in fact tables. Facts help to link indirectly related attributes using these attribute ID columns. The attribute ID columns included in a fact table represent the level at which the facts in that table are stored. So the level of a fact table in the Fact_Item_Day_Customer can be the attribute Id's which is at Day, Item & Customer Id level. For example, fact tables containing sales and inventory data look like the tables shown in the following diagram: Base fact columns ver...

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...

Optimizing queries in Microstrategy using VLDB properties

Optimizing queries in Microstrategy using VLDB properties #vldb #vldbproperties The table b elow summarizes the Query Optimizations VLDB properties. Additional details about each property, including examples where necessary, are provided in the sections following the table. Property Description Possible Values Default Value Additional Final Pass Option Determines whether the Engine calculates...

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...

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...

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...

System Manager workflow to execute on a schedule

Creating a System Manager workflow to execute on a schedule System Manager workflow can execute on a schedule or after an event has been triggered. This can be accomplished by creating a simple batch file, and scheduling that batch file to execute with a third-party tool like Microsoft Task Scheduler. Note : To avoid user permission conflicts, the following steps must be performed with highest privileges. In the below example, the workflow makes the i-server restarts every day. 1. The user must first have a valid workflow. This particular workflow is a template that is delivered out-of-the-box with System Manager. 2. Save the workflow in .smw format. 3. In a text editor (such as Notepad), enter the command line statement that the task scheduler should execute. MASysMgr.exe -w C:\filename.smw” “UserName=User1 “Password=1234” 4. Save the file in .bat ...

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:

MicroStrategy Developer Preferences options are expanded so big that some options are being cutoff. Show the hidden objects in the Microstrategy developer MicroStrategy Developer Preferences options are expanded so big that some options are being cut off. The steps below given in the MSTR article may not work. This can be simple handled by using the steps below: In the Microstrategy Developer go to Tools -> Preferences (Not my prefernces :) ) Under Developer category -> select Browsing on the browsing tab you see all the options like below: 3. Now using the mouse place the cursor on text box of 10000 which is next to 'Maximum number of monitoring objects displayed per page. 4. Then Hit Tab on Keyboard and hit another Tab on keyboard 5. Then press the space or down arrow on keyboard and click on OK or Enter. That will show the hidden objects in the Microstrategy developer Normal Version ...

Fiscal Week, Fiscal Month, Fiscal Quarter and Fiscal Year calculations in Microstrategy

Fiscal Week, Fiscal Month, Fiscal Quarter and Fiscal Year calculations in Microstrategy FiscalWeek Returns the numeric position of a week within a fiscal year, for a given input date. This function is useful in financial reporting when the start of the fiscal year is different than the start of the calendar year. Syntax FiscalWeek< firstWeekDay , firstMonth >( Date / Time ) Where: • Date / Time is the input date or timestamp. • firstWeekDay (default value is 1) is a parameter that determines which day of the week is considered as the first day of the week. You can type an integer value from 1 to 7, with 1 representing Sunday, 2 representing Monday, and so on until 7 representing Saturday. • firstMonth (default value is 1) is a parameter that determines which month is considered as the start of the fiscal year. You can type an integer value from 1 to 12, with 1 representing January, 2 representing February, and so on until ...

Microstrategy Analytics

Search This Blog