Dear.

I was upgraded to May 2026 from Nov 2025 in my test environments.
I know that the published app does not service data load editor & data manager menu.

I found one issue.
after publishing the app, I can access data load editor & data manager menu.

what's the problems?

Hi everyone,

I am experiencing an issue with decimal formatting in a PixelPerfect template in Qlik Cloud.

In my Qlik Sense application script, my regional variables are correctly set to use a period as the decimal separator and a comma for thousands:

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Boa tarde,

Estou utilizando o qlikcloud, e preciso gerar arquivos .png em um diretório local de minha rede.

Tentei fazer via automação, porém, não consegui salvar localmente.
Verifiquei em que é possível via pyton, gerando uma rotina dentro de algum servidor local, para que todo dia, a rotina abra o Qlik e gere a imagem.

Porém, gostaria de tentar fazer algo mais "simples" tentando via automação.

Até mesmo, se salvar .png no google drive, já resolveria.

Alguém já passou por alguma necessidade semelhante?

Hello

I've lost some components after the upgrade from May 2023 to May 2026 Patch 2

How to reactivate it ?

I've tried to remove the patch and repair the installation, then reapply the patch, but it didn't work

Is there a way to download an exe to re-install the Qlik dashboard bundle + vizualisation bundle ?

In previous version

Thanks

It's been some time since I've developed regularly in Talend, so happy to rework the job as much as possible to achieve this. This is 100% an issue with how I've designed the job and not a Talend bug.

I have a Talend Studio REST job that works correctly when requests are processed one at a time, however when two requests are sent almost simultaneously, request/response context variables responsible for passing logging info can be overwritten while the first request is still running. This causes data from one operation to be mixed into the other request’s processing, logging, or response. 

Is there a recommended Talend native way to keep request specific values isolated for the full lifetime of each REST request, or to make a new request wait until the current request has finished processing?

I understand Routes could potentially solve this issue, but jobs work better from a design perspective for our current goals. I'm thinking of scrapping storing the logging data in context variables and passing it all through the main component flows to avoid subsequent calls overwriting the data.

When requests overlap, those context values may be replaced by the second request before the first request reaches the update Joblet. This can cause the wrong log record to be updated or cause response and logging data to become mixed between requests.

For further context, at the beginning of each request, an insert logging Joblet creates a database record with values such as an ID, timestamp, operation, request details, and initial status.

At the end of the flow, an update logging Joblet updates that same record with the final response, HTTP status, outcome, duration, error details, and completion timestamp.

Screenshot of part of the job attached.

Any help would be much appreciated. Thanks in advance.

Hi everyone,

We're using Qlik MCP Server (connected to ChatGPT) with Qlik Cloud . The connection works well, and we've built a dedicated semantic-layer-ready Qlik app that is designed specifically for AI analysis. It contains governed KPI definitions, business terminology, synonyms, and interpretation rules to ensure consistent answers.

Our goal is for the MCP server to expose only this app to the LLM.

The challenge is that the MCP server currently discovers all Qlik apps that the authenticated user has access to. This means the AI can potentially use "regular" Qlik apps that were never designed for conversational AI. Those apps may contain different KPI definitions, incomplete business logic, or development content, which could lead to misleading or inconsistent answers.

Using a separate service account isn't currently a practical option because our environment uses SSO.

My questions are:

1. Is there a supported way to configure the Qlik MCP Server so it exposes only specific apps (or a specific space)
2. Is app or space allowlisting planned for a future release?
3. What is the recommended governance approach when only a subset of Qlik apps is intended for AI consumption?

Ideally, we'd like to maintain a curated set of AI-approved apps while preventing the MCP server from exposing all other applications that the user can access.

Thanks in advance for any recommendations.

Hi,

I have a report in nprinting excel. I developed for it a table in qliksense. I need to sort the report by certain column in descending order. But when I right click on the cell and do sort by A->Z, nothing changes. Please advise.

Qlik NPrinting 

Thanks

Inna

Hi. 

My team have been tasked with moving our existing Replicate solutions to a new sever.

During the training, we were advised that we could use repctl to create a repository file, and import it into the new enviornment.

repctl -d  D:\Attunity\Data\LogStreams exportrepository

repctl -d importrepository json_file=c:\temp\repositoryfile.JSON

My only concern, is that we'd like to guarantee that, when we import the repository into the new location, that none of the tasks are automatically resumed.

I'd also prefer not to stop the tasks prior to running the first command.

If the service account in the new environment does not have access to the target databases, will that suffice as a method? Will that guarantee that any writing tasks won't start?

Thanks.