Hi Community,

 

for the past few days, we have noticed an increase in error messages when sending reports via email in Reporting Services. For example, I have a report that is supposed to be sent to five recipients. On certain days, I occasionally encounter one or two error messages with the following text:

 

 

I can't find a pattern as to why the error occurs. What could explain it? In the past, it ran perfectly without any problems.

Kind regards,
Vanessa

Hello! I wonder if someone could help me with a (potentially very basic) question about data updates and Qlik Sense apps connected to Excel files. 

I have created a Qlik Sense app that takes its data from several MS Excel files that are saved on my local computer. My intention is to update the Excel files 5-6 times a year, and I want the app to fetch the latest version of the data every time I update the Excel files. I tested the app for a while and everything was working as intended so I went ahead and published it.

The problem is that, since this app is now published, I no longer have access to the Data Manager function which was how I was planning on feeding it new Excel files. In non-published apps I can simply go into Data Manager and drag the new Excel files to replace the old ones, but this function has disappeared in the published app. I can't seem to unpublish the app either, which was the first workaround I could come up with. I've also tried clicking on the app and then on Load, but that doesn't seem to load the new version of the Excel files for some reason.

Is there some other way in which I can force a published app to fetch new Excel files from my local computer?

Balancing coursework, research, and multiple deadlines can be challenging for students throughout their academic journey. During this process, Assignment Help UK accessed through Native Assignment Help provides structured academic guidance that helps learners understand assignment requirements, organise their ideas clearly, and develop stronger research and writing skills. With clear explanations, practical examples, and a learning-focused approach, students can improve their academic understanding, manage their workload more effectively, and approach assignments with greater confidence. This structured support encourages consistent progress, responsible learning, and the development of essential academic skills.

We use Postgres database as source, we have jsonb column, when we update a column except that jsonb  let's say updated_at column, jsonb column comes as null. but we need to see data even we don't change it. How we can enable this in qlik replicate. 

Thanks
version : 2024.5.9.508 

Hi Everyone,

I am facing a behavior difference in a Qlik Sense stacked bar chart and would like to understand whether this is expected behavior or if there is a better way to handle it.

Scenario:

I have a stacked bar chart where percentages are calculated by judgement categories (〇 / △ / × / ★).

For example, in one H2 bar:

〇 = 38%
△ = 13%
× = 25%
★ = 25%

Case 1:
When I select ★ from the straight table (Month data), the bar chart still shows ★ as 25%.

Case 2:
When I select the ★ stack directly from the bar chart, the chart shows ★ as 100%.

The product count remains the same in both cases, but the percentage displayed is different.

Current data model:

- H2 / Annual / Recent3 bars are calculated from a Period dataset.
- The straight table is built from a Month dataset.
- The chart percentage is calculated as:

My questions are:

1. Is this difference expected because the table selection and chart stack selection are applied differently in Qlik Sense?
2. When selecting a judgement from a table, should the denominator normally remain the total H2 population, resulting in 25%?
3. If users expect the selected category to become 100% regardless of whether the selection comes from the table or the chart, what would be the recommended approach?

We are currently using Qlik Enterprise Manager version QlikEnterpriseManager_2025_11_0_Windows_X64, which uses PostgreSQL 17.4 as its internal database.

We recently performed a security vulnerability scan on this environment, and the following PostgreSQL vulnerabilities were identified:

• CVE-2026-6472
• CVE-2026-6473
• CVE-2026-6474
• CVE-2026-6475
• CVE-2026-6476
• CVE-2026-6477
• CVE-2026-6478
• CVE-2026-6479
• CVE-2026-6575
• CVE-2026-6637
• CVE-2026-6638

We would like recommended best practice for upgrading PostgreSQL in Qlik Enterprise Manager to remediate these vulnerabilities.

Specifically, we would appreciate your guidance on the following:

1. Is the PostgreSQL instance bundled with Qlik Enterprise Manager supported for an in-place upgrade, or should PostgreSQL only be upgraded as part of a Qlik Enterprise Manager upgrade?
2. Has Qlik released any patch or newer product version that addresses these PostgreSQL CVEs?
3. Are there any official Qlik documents or recommended procedures for upgrading PostgreSQL without affecting product functionality or supportability?

Thank you for your assistance. We look forward to your recommendations.

We are currently using the following environment:

• Qlik Enterprise Manager: QlikEnterpriseManager_2025_11_0_Windows_X64
• Qlik Replicate: QlikReplicate_2025.11.0.285_X64

We recently performed a security vulnerability scan on both environments. The scan identified the following vulnerabilities:

• CVE-2026-34480
• CVE-2026-34478

These vulnerabilities were reported against the Log4j library used by the applications.

Could you please advise us on the recommended best practice for upgrading or remediating Log4j in Qlik Enterprise Manager and Qlik Replicate to address these vulnerabilities?

Specifically, we would appreciate your guidance on the following:

1. Is there an official Qlik patch or a newer product version that resolves these CVEs?
2. Is it supported to manually replace or upgrade the Log4j library, or should the remediation only be performed by upgrading the Qlik product?
3. Are there any official Qlik documentation or recommended procedures for remediating these vulnerabilities?

Thank you for your assistance.

Qlik has a Sankey.
We built one for the flows that outgrow it.

Released a new Sankey Chart extension for Qlik Sense, designed to visualize multi-stage flows when the native chart runs out of room.

Useful for analyzing how value moves through stages — budget allocation, supply chains, customer journeys, energy flows, website traffic, conversion funnels.

Where Qlik's native Sankey caps at 5 dimensions, ours goes to 10.
Where the native selects only the source end on flow click, ours selects both at once.

Plus gradient links, level headers, layout sliders, detailed tooltips, and more.

➡️‌ Full announcement on our blog
Demo app and free trial available.

Happy to answer your questions.