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Some members make the Qlik Community a better place simply by showing up and lending a hand, and Rafael Encinas is one of them. Rafael has become a go-to presence for members looking for answers and fresh ideas. We're thrilled to name him our Featured Member for October 2026!
Rafael works at Farol Data Analytics in Brazil, and the Community has become an important part of his day-to-day. For him, it's a place to pick up new skills, trade ideas, and connect with people who share his enthusiasm for data and technology. That mix of learning and connection is what keeps him coming back, and it's a big part of why his contributions have made such an impression on fellow members.
“It's a great place to learn new things, exchange ideas, and connect with people who are also passionate about data and technology.”
— Rafael
Helping other members is where Rafael really shines. He makes a point of pitching in whenever he can, and he's quick to say the benefit goes both ways: he learns a lot from those interactions too. Every question he helps answer is a chance to see a problem from someone else's angle, and every conversation adds to what he knows. It's a great example of how the Community works best, with members teaching and learning from one another at the same time.
Away from the keyboard, Rafael has plenty to keep him busy. He plays guitar, makes time for the gym, and loves to travel whenever he gets the chance. It's a well-rounded mix, and it's clear that the same energy and enthusiasm he brings to the Community carries over into everything else he does.
Thank you for your contributions and engagement in the Qlik Community! Please join us in celebrating Rafael as our October 2026 Featured Member, leave a comment below!
Hello team,
An error occurred in the customer's environment, so we resolved it by referring to the following article:
Could you tell me what the password set in this procedure is used for?
>./agentctl agent set_config -p Administrator123
Best Regards.
Hi everyone,
I’m working in QlikView and need help building a set analysis measure that adjusts its date range dynamically based on Year and Month selections.
Here’s the behavior I’m aiming for:
No Year and no Month selected → Show current year‑to‑date (from 1 Jan of the current year up to today).
Year selected, no Month → Show year‑to‑date for that year (from 1 Jan up to the latest available date in that year).
Year and Month(s) selected → Show from the first day of the earliest selected month through the last day of the latest selected month.
Example: Selecting Year = 2025 with Oct, Nov, and Dec should return 01/10/2025 to 31/12/2025.
I've been exploring Qlik's Agentic AI capabilities and recently tested the Discovery Agent using a retail scenario focused on a seasonal RainWear product category.
The use case was inspired by a real client engagement, with business labels anonymized to protect confidentiality.
Rather than waiting to search dashboards, the end users wanted to see whether AI could proactively monitor performance and surface business events that require attention.
Attached screenshots showcase how the Discovery Agent automatically identified:
What stood out wasn't just anomaly detection. The Discovery Agent:
✅ Observed business activity continuously
✅ Detected meaningful changes automatically
✅ Explained insights in natural language
✅ Guided users toward further investigation
This felt less like traditional BI and more like having a digital business analyst continuously monitoring business performance and proactively surfacing insights that matter.
While the screenshots have been anonymized (RainWear, Store Cluster A, North Zone), the insight patterns are based on an actual client-inspired scenario and demonstrate how Agentic AI can proactively surface business-critical events.
Looking forward to hearing how others in the community are using Discovery Agent or other Qlik Agentic AI capabilities.
Hi,
Our public mashup, built with @qlik/api (React, authType "anonymous", qix.openAppSession) on a Qlik Cloud tenant in the Stockholm region with Qlik Anonymous Access, is failing to open the app for visitors in production. We see the same problem in development. At the same time, the app opens normally through the anonymous share link in the hub.
In development we captured POST /oauth/token/anonymous-embed returning 429 Too Many Requests.
The version currently in production calls resume() on every "suspended" event, including idle timeout (4001) and session limit (4005), so open tabs can keep requesting new tokens. (This is better for an user experience perspective)
Our questions:
1. What is the rate limit on POST /oauth/token/anonymous-embed? Is it counted per IP, per client ID, per tracking code or per tenant, and over what window? Since the 429 has no Retry-After header, how long should a client wait before trying again?
2. If the limit is per IP, visitors behind the same corporate network share it. How should a public site handle that?
3. What exactly counts as one Anonymous Concurrent Session: an engine app session (one websocket), an anonymous access token, or a tracking code?
4. When a visitor reloads the page, @qlik/api requests a new token with the same tracking code and opens a new websocket. Is the previous session released when its websocket closes, or does it keep counting until the 15-minute timeout?
5. Is the 15-minute anonymous session timeout based on inactivity, or is it a fixed lifetime from token creation?
6. Is there a supported way for the client to end an anonymous session explicitly (for example on pagehide) so the seat is freed right away?
7. Do you recommend reusing the anonymous access token across reloads in the same tab, for example in sessionStorage? @qlik/api keeps it only in memory, so every reload requests a new one.
8. Where in the Administration activity center can we see how many anonymous sessions are in use right now?
Environment:
- Qlik Cloud, Stockholm region, Qlik Anonymous Access [SMB / Standard] subscription
- @qlik/api 1.28.0 from npm; in the browser the runtime loads from https://<tenant>/qlik-embed/main.js
Thanks,
Thomas
I'm pretty new to Talend Studio and building pipelines with it and I've got a confusing situation.
I need to pull the three main fields from an HTTP Response (headers, status, body) and store them in a database (for audit purposes). However, I also need to dive into the body of the response (which will be Json), find a specific tag (a metadata tag), and capture two fields from this metadata tag. With both outputs, I then need to combine it into one and save an audit record to a database.
I know how to work with either the tJavaRow (to get the header, status, and body fields) and the tExtractJsonFields (to get the metadata). What I'm having an issue with is combining these two outputs back together and then saving it to the database. Every route to do this seems either overly complicated (trying to do some Java package imports and writing even more custom Java code) or is just flat-out not allowed by Talend Studio because you can't tUnion or even tMap from the 'same source' back together.
Is there a simpler way to do what I'm wanting? For example, my HTTP response might be:
{"headers": "someheaders", "status": 200, "body": { "meta": { "field1": "value1", "field2": "value2"}}}
And I need to capture it into my database like this
headers -> someheaders
status -> 200
field1 -> value1
field2 -> value2
Hello,
In my data model I have a calendar with a Year field . I also have a variable vCurrentYear which is set to Year(today()).
Is there a way to create a bookmark where part of the bookmark is set set Year to the variable $(vCurrentYear).
As an alternative I can just add a field CurrentYear to my data model and make that part of my bookmark.
Thanks,
Michael
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Post your experience here and we'll award you the Agentic AI Expert badge.
Tell us in the comments:
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Thank you for taking the time to share!
Good morning, I'm trying to upgrade my Qlik Sense Enterprise server (November 2025 patch 4, qliksenseserver 14.254.13) to the new May 2026 version 15.13.8. The upgrade is successful, but when I log in, I get a series of errors that prevent me from using it. I'm forced to revert to the old, working version. I've checked for errors using chatgpt, but all services are up and running. Perhaps something related to certificates, but nothing concrete that helps me resolve the issue. Can you help me? Thanks.
Hi everyone,
I’m experiencing intermittent issues with the Salesforce connector in Qlik Cloud using the Bulk API.
The connection works and several objects load successfully, but at random points the reload fails with:
Connector error: Failed to connect
In one case I also got:
The SSL connection could not be established, see inner exception.
The failing object changes between reloads, and retrying a few minutes later usually works without any changes.
Has anyone experienced something similar recently?
Also, I’m not sure if this is the right subforum for Salesforce connector issues, so please let me know if I should post it somewhere else.
Thanks!
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