Skip to main content

Microstrategy removing rows with Zero metric values

Microstrategy removing rows with Zero metric values


If there are more than one metric and want to remove the rows with Zero metric values.

There are several ways to do this but I guess the easiest one will be creating a Metric which is the sum of all the metrics to be used in the report.

Such as Sum Metric = Metric 1 + Metric 2 + Metric 3 +...........

The Sum Metric should be included in the report and it can be controlled by any of the ways below:

1) Adding a view filter to the report where Sum Metric != 0 which will bring only non zero values
2) Creating a filter definition prompt with the Sum Metric, so that when the rpeort is prompted user cans elect Sum Metric value is >0 .

Or we can jsut had code the filter Sum Metric >0 if we want to pre-filter the report with non zero rows for all the metrics in the report.

We can also use the report limits with metric values >0 with an and condition between each metric condition,

Comments

Popular posts from this blog

Types of prompts in Microstrategy

Types of prompts in Microstrategy The different types of prompts allow you to create a  prompt  for nearly every part of a report. Prompts can be used in many objects including reports, filters, metrics, and custom groups, but all prompts require user interaction when the report is executed. The correct prompt type to create depends on what report objects you want users to be able to base a filter on to filter data, as described in the list below. Filter definition prompts   allow users to determine how the report's data is filtered, based on one of the following objects: Attributes in a hierarchy : Users can select prompt answers from one or more attribute elements from one or more attributes. The attribute elements that they select are used to filter data displayed on the report. This prompt lets you give users the largest number of attribute elements to choose from when they answer the prompt to define their filtering criteria. For example, on a repor...

Non Aggregate metrics Beginning lookup, Ending lookup, Beginning fact., Ending fact

Non Aggregate metrics  Beginning lookup,  Ending lookup,  Beginning fact .,  Ending fact A nonaggregatable metric, such as an inventory metric, is one that should not be aggregated across an attribute.   For example, if you have monthly inventory numbers in your data warehouse and want to calculate the yearly inventory, adding the monthly numbers together does not provide a useful business measure. Instead, you may want to use the end-on-hand and beginning-on-hand inventory numbers to see how the total inventory changed during the year.  The following options are available: • To use the first value in the lookup table, select  Beginning lookup . • To use the last value in the lookup table, select  Ending lookup . • To use the first value in the fact table, select  Beginning fact . • To use the last value in the fact table, select  Ending fact .

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.

Algorithm to calculate Logical Table Size in Microstrategy

How are the fact tables determined using the logical table size for SQL generation 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.   IMPORTANT:   The system hierarchy is defined by the parent-child relationships between attributes of the same family (formerly known as a dimension), not by user-defined hierarchies (i.e., drilling hierarchies).   MicroStrategy Engine utilizes an algorithm based on attribute keys to calculate the Logical Table Size (LTS): Given the following tables: ...

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...

Displaying sections horizontally in MSTR

Displaying sections horizontally in MSTR Document By default, all sections are displayed and printed vertically in a document. The Detail Header is displayed below the Document Header, the Detail is displayed below the Detail Header, and so on. For Ex: the title Monthly Revenue is displayed in the Detail Header, while Month and Revenue are placed in the Detail section as shown below. Displaying the Detail section horizontally displays the monthly revenue across the page, as shown in the document sample below. The Revenue metric was moved below Month, to present a half year of data across a single sheet of paper. The following image shows the same document in Design Mode. The Detail Header contains the title, while the Detail section contains Month and Revenue. The Detail section is displayed horizontally. You can also control the horizontal width using the settings:  A horizontally displayed section prints horizontally across a page and therefore needs addi...

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...

URL API connection mode parameters

URL API connection mode parameters When using the URL API, to denote which type of Authentication to use, developers can use the connMode parameter.  The following values are used for this parameter: Standard = 1 LDAP Authentication = 16 Database Authentication = 32 Guest = 8 Windows Authentication = 2 Trusted Authentication = 64 Integrated Authentication = 128

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 ...