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Hi everyone,
We are experiencing an OAuth 2.0 authentication issue when trying to connect Qlik Cloud Analytics to Salesforce using the Salesforce connector from Add Data.
A new Salesforce External Client App was created following Salesforce's recent security changes.
According to Salesforce's updated security requirements, PKCE is mandatory for newly created applications, and the option to disable it is locked.
However, the Qlik documentation instructs us to disable PKCE as part of the connection setup.
We attempted to configure the Salesforce Callback URL using both:
https://connector.qlik.com/auth/oauth/v2.htm
https://connector.qlik.com/auth/oauth/v3.htm
Both attempts failed during authentication, resulting in the following errors:
redirect_uri_mismatch
OAUTH_APPROVAL_ERROR_GENERIC
We would appreciate hearing from anyone who has encountered a similar issue or has successfully established a Salesforce OAuth 2.0 connection in Qlik Cloud Analytics under the new PKCE requirements.
Thanks in advance for sharing your experience!
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Click here to see video transcript
Hi team,
Need one suggestion in qliksense +(nprinting)
We have dynamic view chart in qliksense dashboard but as we know that nprinting is not supporting dynamic views..
What can be work around to extract dynamic view chart in pdf
I tried
1: creating a story then export
2: sheet export as pdf
3: extension+ mash-up
No success with option 1 & 2
With option 3 I achieve it, but not good and dynamic solution for all dashboard who have dynamic view charts.
Thanks in advance!
Regards,
Prashant
Hi everyone,
I just published a new Data Voyagers video on Qlik Code, the Visual Studio Code extension that lets you edit Qlik Cloud load scripts in VS Code instead of the Data load editor.
I wanted to cover the whole thing in one place, so the video goes through each feature in order. Once you sign in to your tenant, you can browse spaces, apps, and scripts, then view, edit, and sync load scripts using direct or local editing. The editor supports the Qlik script language with syntax highlighting, completions, hover help, and diagnostics. You can also insert script content to load files from the data catalog or a data connection, or pull in existing script assets like QVS files. When you are ready to test, you can reload the app, preview your data, look at the data model, and open the app in Qlik Cloud from your browser.
A few limits from the documentation are worth knowing. Qlik Code is aimed at developers who already work in Qlik Cloud, and it does not replace the activity centers, so tasks like managing spaces, sheets, and app permissions stay there.
Watch the video here: https://youtu.be/8omcueKfuQ8
Documentation: https://help.qlik.com/en-US/cloud-services/Subsystems/Hub/Content/Sense_Hub/QlikCode/code-extension-home.htm
I would like to hear how this fits your workflow. Are you already writing scripts in VS Code, or still in the Data load editor? Which feature would you use first, and what is missing for you? Tell me in the comments.
Regards,
Mark Costa
In Qlik Replicate version 2025.11.0.770 we are getting this error:
I'm getting very confused over looping and grouping in the data mapper (which I would be calling via a tHMap in a regular Data Integration job).
In essence we are receiving digital files for archiving, with a set of CSV metadata files which describe various aspects of the records. This metadata needs to be reformatted (joining data from across the original metadata files) and transformed, ultimately producing a set of JSON files, one per transferred digital file, so that we can send these (plus the digital files where appropriate - some files are restricted from public access for a set period so in that case we send only the metadata). Within this there can be multiple reasons why a file has public access restrictions, in the original metadata these are provided as a semicolon separated list within a single field. Independently of the access restrictions, there can also be a list of catalogue references to provide information about particularly close relationships between records. Similarly these are also provided as a semicolon separated list.
For the output JSON we have a JSON schema so I've created a structure from that (though this covers a wider range of use cases than is likely to occur in our particular usage, so some potential output fields wouldn't actually receive and data as we don't have appropriate data to put into them).
To try and create the input structures, I linked rows to the tHMap in the data integration job, the main row has normalised data with the list of reasons for an access restriction split out into individual values, with the other values repeated. There is an id value which acts as a key, so in the hierarchy these should be grouped together with the access restriction reasons going into an array.
Then there's a lookup with the normalised data for the relationships to other records, again these have the record id associated with each row in the lookup.
I think one problem may be that the structure for the output is based on a single record, but we have multiple records coming in on the other side, so I guess I either need to iterate over individual records somehow on the input side, or and a wrapper on the output, and then figure out how to split it up into individual JSON files, one per record later in the main job?
Then I can't figure out how to set up the looping and grouping so that this all comes together as required.
I can provide some screen shots of what I've got so far, or some (slightly simplified) example data which preserves the main points of what I've described above, but doesn't include every field in the actual data we're processing as there's rather a lot, and most of it doesn't have any bearing on the looping and grouping.
I hope this makes some sense: I'm a bit sleep deprived today too, which isn't helping.
Thanks
Hi,
Has anyone ever seen this error before? I encountered it on a logstream task:
00011524: 2026-10-04T03:00:01 [SORTER ]W: The record timestamp is at least 10 minutes later than the Replicate server time. Operation: BEGIN (6); Timestamp: Sat, 03 Oct 2026 17:00:47 GMT (1791046847000000); Replicate server time: Sat, 03 Oct 2026 16:00:01 GMT (1791043201849893); Stream position: 00000000.19489301.00000001.0000.00.0000:5773.491108.16 (sorter_transaction.c:204)
Thanks,
Mohammed
Hello,
I’ve configured a Log Stream task to read from a Microsoft Azure SQL database, along with a replication task that reads from this Log Stream and replicates data to a Databricks Lakehouse (Delta) endpoint.
Among the replicated tables, there is one with about 380 million records and 18 columns, which accumulates between 200,000 and 400,000 changes during the full load, which typically takes several hours.
Over the past few weeks, once the full load of this table completes, the task has been unable to apply the changes to Databricks. Specifically, the task tries to apply the DELETE operations on the table and remains in running state for tens of hours without completing the operation successfully.
The DELETE operation has this form:
DELETE FROM my_database.target_table T
WHERE EXISTS (
SELECT C.seg1
FROM my_database.attrep_changes_table C
WHERE (
T.primary_key = CAST(C.seg1 AS INT)
OR (T.primary_key IS NULL AND C.seg1 IS NULL)
)
AND C.seq >= 1
AND C.seq <= 200100
);We have tried several alternatives to solve the problem, including:
Unfortunately, none of these attempts was successful.
However, we verified that the following DELETE operation runs in 30 seconds on Databricks:
DELETE FROM my_database.target_table
WHERE primary_key IN (
SELECT CAST(seg1 AS INT)
FROM my_database.attrep_changes_table
WHERE seq BETWEEN 1 AND 200100
AND seg1 IS NOT NULL
);Is it possible to configure the replication task to run DELETE operations using the syntax above?
I understand that Qlik Replicate provides internal parameters to customize the SQL syntax it generates, such as $info.query_syntax.create_table for table creation. Is there an equivalent parameter for DELETE operations? If so, how could we set it so that the task uses the syntax shown above? If no such parameter exists, is there an alternative way to achieve the same result?
Thank you in advance for your support.
Best regards
Hello everyone,
my department and I are currently bulding a new BI-Department.
At the moment I'm loading the TABLES from SF into Qlik. But I also have usecases where I have to concatenate several Tables.
One Engineer pointed out to my, why we're not using the views. So I tried to find usecased where people are using views and where the tables.
Unfortunately we have nobody in our team who is experienced in this kind of topic.
Is here anyone who can help me?
We are experiencing an issue with emoji rendering in the native Org chart visualization following our upgrade to Qlik Sense Enterprise on Windows November 2025, version 14.254.6.
Emojis that are correctly displayed in standard Qlik Sense tables are replaced by the Unicode replacement character � (U+FFFD) when displayed in the Org chart visualization, specifically in the card subtitle.
This issue affects all emojis we have tested.
Product: Qlik Sense Enterprise on Windows
Version: November 2025, 14.254.6
Visualization: Org chart (Visualization Bundle)
Browsers: Microsoft Edge, Firefox and Google Chrome
The issue also occurs with newly created Org chart objects, so it does not appear to be limited to existing objects.
It affects all emojis tested.
The issue is reproducible across different computers and browsers.
Resetting the Org chart styling does not resolve the issue.
The Windows Segoe UI Emoji font is installed.
Emojis are rendered correctly in standard tables within the same application.
The issue appeared after upgrading Qlik Sense.
Any idea?
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