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

laxmicynixitJanuary 6, 2023 at 8:26 PM
nice.......!
micro strategy certification training
ReplyDelete
Replies

Add comment

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: ...

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...

Certify dossiers in MicroStrategy

Certify Dossiers in MicroStrategy Web Dossiers can be certified for an environment by users with certain permissions. Certified items have typically been reviewed by trusted members of your organization and are considered official sources of content, based on reliable data. Two of the Security Role which have the ability to certify dossiers: Application Administrator - Users granted this role have access to all application specific tasks. Certifier - Users granted this role can certify objects in addition to the authoring capabilities. Follow the steps below with a user who has Certifier privileges which has been added newly Users without certifier/application administrator privileges will not see the option to certify. In MicroStrategy Web, right-click on a dossier and select Properties. Check the Certified option and click Ok. Navigate to MicroStrategy Library and users will see the orange certified flag...

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.

Partition Key Selection guidelines in MicroStrategy

Partition Key Selection guidelines MicroStrategy The partition attribute is typically dictated by specific application needs. Below are some general guidelines for identifying a good partition attribute. Some of the largest fact tables in the application are typically good candidates for partitioning and thus influence the choice of the partition attribute. Data should be partitioned in such a way that it allows for the most number of partitions to be involved in any question that is asked of the application. Attributes that are frequently used for filtering or selections do not make for good partition attributes. The partition attribute should allow for near uniform distribution of data across the partitions, so that the workload on each partition is evenly distributed. To support best dashboard execution and concurrency performance, MicroStrategy has chosen to limit the number of logical CPUs engaged for any single grid evaluation to 4 . Columns on which some of the larger...

Microstrategy Analytics

Search This Blog