Skip to main content

User request is completed. (Ran out of memory)

Unable to Run/Edit particular MicroStrategy reports ue to the following error:

User request is completed. (Ran out of memory)

User request is completed.
(Ran out of memory)




The above issue appeared in MSTR Web Universal version 10.5

We tried the below options without any luck:
1. i-server restart
2. Web server restart
3. clear document cache/dataset cache
4. Web server cache clear as below:



The correct option is to increase the contract memory settings:

Using the Memory Contract Manager

The MCM settings are in the Intelligence Server Configuration Editor, in the Governing Rules: Default: Memory Settings category.
The Enable single memory allocation governing option lets you specify how much memory can be reserved for a single Intelligence Server operation at a time. When this option is enabled, each memory request is compared to the Maximum single allocation size (MBytes) setting. If the request exceeds this limit, the request is denied. For example, if the allocation limit is set to 100 MB and a request is made for 120 MB, the request is denied, but a request for 90 MB is allowed.

Comments

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 . ...

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 ...

Compound key attribute

Compound key attribute A compound key attribute is an attribute whose primary key is made up by the combination of two or more columns. The multiple columns are joined with other attributes, typically in a many-to-many relationship . To create a compound key, users must create multiple attribute forms, group them together and set the form group as the key for the attribute. Use the same steps as specified in the help menu: Open attribute editor (right-click on attribute and select 'Edit') Select the forms that will make up the compound key From the 'Edit' menu, choose 'Group' NOTE: Modifying the key form will trigger required updates when saving. This may make related application objects (reports, filters and metrics) unusable. Click on 'Yes' to continue, when prompted, in a dialog box, to confirm this action Save the changes. Choose 'Update Schema' from the Schema menu

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: ...

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: ...

Conversion failed when converting the varchar value 'xxxx' Microstartegy

Error "Conversion failed  Error "Conversion failed when converting the varchar value 'xxxx' to data type int" happens when displaying Picture type attribute form using ApplySimple in expression against SQL Server 2012 in MicroStrategy  The attribute form is in Picture type and defined with the following ApplySimple function with Int type column [ID_BARANG] as the input parameter against SQL Server 2012.  Solutions is to use  Concat("Images/demo/s", [BARANG_ID_INT], ".png") ApplySimple("'images/demo/'&#0&'.png'", [ID_BARANG]) However, when running reports with attribute to show the picture form in Web, error message happens in both Web and Developer. Conversion failed when converting the varchar value 'images/demo/s' to data type int. STEPS TO REPRODUCE: SQL Server 2012 database should be used as the warehouse.  Create an attribute form as type Picture and us custom expressi...

Create a transaction services photo uploader

Create a transaction services photo uploader   1.  Create a new table "photo_upload" in Tutorial warehouse database (the default location: C:\Program Files\MicroStrategy\Tutorial Reporting\TUTORIAL_DATA_7200.mdb), as shown below:    2. The 'photo_upload' table has to be pre-populated with *exactly* 10 rows of data, the values for the 'ID' column should be 1-10 and the values for the 'uploaded' column should all be 0 3.  In MicroStrategy Desktop, create a freeform report "R1" based on the new table "photo_upload" in Tutorial data created at step 1, as shown below:   SELECT Location, Description, ID, uploaded, numbers FROM PHOTO_UPLOAD 4.  Create another table for transaction insert SQL. Make sure to create an 'autonumber' type ID as primary key for this table, or auto_increment ID for different DBs.                     5. Create...

Predictive modelling in Data Science using Microstrategy

Creating a predictive modelling in MicroStrategy MicroStrategy Data Mining Services has been evolving to include more data mining algorithms and functionality. One key feature is MicroStrategy Developer’s Training Metric Wizard. The Training Metric Wizard can be used to create several different types of predictive models including linear and exponential regression, logistic regression, decision tree, cluster, time series, and association rules. Linear and exponential regression The linear regression data mining technique should be familiar to you if you have ever tried to extrapolate or interpolate data, tried to find the line that best fits a series of data points, or used Microsoft Excel’s LINEST or LOGEST functions. Regression analyzes the relationship between several predictive inputs, or independent variables, and a dependent variable that is to be predicted. Regression finds the line that best fits the data, with a minimum of error. For example, you have a dataset ...

Scheduling a report or document to be sent to an FTP in MSTR

Scheduling a report or document to be sent to an FTP server You can have a report or document automatically delivered to a location on your FTP server on a specific schedule. To do so, you must subscribe to the report or document, as described in the steps below. You can customize your subscription by typing macros in the  File Name ,  Sub-folder , or  Zip File Name  fields. These macros are automatically replaced with the appropriate text when the report or document is delivered. For example, you create a subscription to a document. If you type  {&Project}  in the  File Name field, the name of the project in which the document is saved is displayed in the name of the document when it is delivered. • This procedure assumes that an administrator has already added your FTP server as a new device in Developer. Steps to do so are included in the  System Administrator Help . To send a report or document to an FTP server on a schedule ...