• Total Server RAM: 128 GB
• QMC Memory Settings:
  • Low Memory Limit: 70%
  • High (Max) Memory Limit: 90%

1. Is there an internal Windows OS limitation or an underlying Qlik Sense Engine setting/working set metric that actively throttles or caps memory commitment at 80% within the operations monitor logging?
2. Why would the Qlik Engine not utilize the remaining allowance up to the 90% High Memory Limit, even when users are actively experiencing application slowness?
3. Are there specific log fields or telemetry metrics I should check to see if the engine is triggering a specific memory clearing/garbage collection routine right when it hits this 80% mark?

Dear Team,

Please let me know how can we add background music in Qlik Sense story telling PPT.

Kindly let me know the detailed steps to perform above.

Thanks & Regards,

Sonali Shetty

I know this has been discussed multiple times, but I was wondering whether anything has changed in recent releases.
Is there any way to force a Qlik set expression to evaluate row by row for a field-to-field comparison? I need to write a complex expression that compares multiple fields within a single record, and I have run into the known issue  (or feature, by design 🙂 ) that set expressions evaluate across the full set of distinct values.
Please see the image below. We resolved the issue by replacing part of the set expression with if statements. The comparison involves a number of fields, so I was wondering whether any new set modifiers are available that would force row-level comparison when comparing two fields within a record.

以下リンクなどを参考にAPI呼び出しでのユーザーデータを取得しようと考えているのですが、
招待中のユーザーのデータが取得できません。
招待中のユーザーのメールアドレスやidを取得したいのですが、何か方法はありますか？
解決済み: API呼び出しによるユーザーデータ - Qlik Community - 2505563

Hi everyone,

I've noticed what seems to be either an issue or a design limitation with the qlik_get_chart_data tool when used with, for example, a Pivot Table.

The tool returns an object where:

• totalRows correctly reports the number of rows available in the pivot.
• However, the data property is always returned as an empty array ([]).

As a workaround, the AI agent can read the chart's dimensions and measures, create a session object, and retrieve the data from that object. However, this requires an additional AI tool invocation, resulting in extra AI credit consumption for something that the original tool should already provide.
https://help.qlik.com/en-US/cloud-services/Subsystems/Hub/Content/Sense_Hub/QlikMCP/Qlik-MCP-server-tools.htm

I experienced the same behavior with a stacked bar chart (which I believe has model type K). On the other hand, if I use a bar chart with a single dimension, everything works as expected (its model type should be S).

Has anyone else experienced the same issue?

Is this an expected design limitation, or could it be a bug?

Thanks in advance for any feedback or suggestions.

Cristian

Em:

https://help.qlik.com/en-US/connectors/Subsystems/REST_connector_help/Content/Connectors_REST/Create-REST-connection/Create-REST-connection.htm

Consta:

Step 5: Define request parameters and headers

1. Add query parameters:
   • Enter a unique Name and Value for each parameter.
   • For duplicate parameter names, add them directly into the URL.
2. Enable Add missing query parameters to final request to include all specified parameters.
3. Add query headers:
   • Enter Name and Value for each header.
   • Enable Encrypt for sensitive headers (e.g., authorization).
4. Enable Allow "WITH CONNECTION" for advanced scripting in load statements.

5. Enable Retry failed requests to handle transient errors (e.g., 429, 503).
   
   Em minha instalação (a mais recente), e em versões anteriores não aparece na interface para Encriptar parâmetros do Header

   • Enable Encrypt for sensitive headers (e.g., authorization).
     
     

      

     
     
     

Im developing some visuals that have to do with a normal distribution. I have the mean, and standard deviation numbers down, and I managed to get some form of bell curve plotted on a combo chart

Problem is, I want the bell curve to be centered, and the range of the X axis to show -4 to +4 standard deviations away from the mean. If anyone has any insight as to how to go about that, it would be lovely. As far as it seems though I don't think it would be possible as the X axis is automatically generated on the dimension used, and my dimension is tied to the measure.

Dimension expression: Round([MEASURE], 0.1)

Measure Expression: Only(NormDist(Round([MEASURE], 0.1), Avg(TOTAL [MEASURE]), StDev( [MEASURE])*0.1*Count(TOTAL [MEASURE])

Any help is appreciated, thanks!