Unanswered questions

 Trying to upload assets and asset hierarchy following the documentation available online is not working as shown.Trying to upload an ndjson with assets and hierarchy with the following files:myHierarchy.Manifest.yamlkind: Assetstype: dataSetdataSetExternalId: compressor_demo_datasetmyHierarchy.Assets.yaml{"externalId": "Compressor_Demo", "name": "Compressor Demo", "depth": 0}{"externalId": "Compressor_Demo_Geonosis","name": "Geonosis", "parentExternalId": "Compressor_Demo", "depth": 1}{"externalId": "Compressor_Demo_Geonosis_Central-Utilities","name": "Central Utilities", "parentExternalId": "Compressor_Demo_Geonosis", "depth": 2}{"externalId": "Central-UtilitiesCompressedAir_Cell","name": "Compressed Air", "parentExternalId": "Compressor_Demo_Geonosis_Central-Utilities", "depth": 3}{"externalId": "AirCompressor1_Central-UtilitiesCompressedAir_Cell", "name": "Air Compressor 1", "parentExternalId": "Central-UtilitiesCompressedAir_Cell", "depth": 4}{"externalId": "AirCompressor2_Central

 SummaryEnable aggregation operations (such as step_interpolation) on requests containing both numeric and string time series in the same SDK call.Currently, aggregation works correctly for numeric time series, but the request fails when a string/alphanumeric time series is included alongside numeric series. This limitation prevents users from retrieving synchronized operational datasets that combine process measurements and categorical/status information in a single query.Problem DescriptionWhen using the Cognite SDK method retrieve_dataframe() with aggregation enabled, requests containing mixed data types fail if at least one time series is of type string.Example:Numeric-only aggregation → works correctly Numeric + string aggregation → failsThe expected behavior for string time series using step_interpolation is to replicate the last known value across the aggregation interval, similar to how industrial historians such as PI System behave.Example Use CaseOperational dashboards and an

Hi Team,Our observation while storing duplicate entries in Cognite Streams:Mutable Streams - It discards the duplicate entries consistently.Immutable Streams - It sometimes allow exact duplicate entries (externalId and other fields) and sometimes it doesn’t.Even when we checked in the Cognite AI, it says it usually doesn’t allow duplicate entries but in some rare scenarios, it allows.Could you please let us know the behavior. If it allows in rare scenarios, please let us know the exact scenarios.Thanks,Rahul

Hi Team,We are currently exploring migration of our existing content to use Flexible Data Modeling in CDF, and we are facing some challenges while configuring the OPC UA Extractor.At the moment, we are still pointing the extractor to the traditional Asset-Centric Time Series (dataset-based approach) and then transforming the data into our Data Model types afterward. However, we would like to ingest data directly into a view that implements the CogniteTimeSeries type.We would appreciate your guidance on the following: Do you have any example .yml configuration for the OPC UA Extractor that ingests data directly into a view implementing CogniteTimeSeries? Are there any best practices or recommended approaches for this setup? Is the following documentation the correct reference for this use case?https://docs.cognite.com/cdf/integration/guides/extraction/configuration/opcua#data-models Additionally, we are also evaluating OPC Events ingestion: Should OPC Events be modeled using Cognite

Maybe this will be solved with the release of Adaptive Experiences, but for now the overview of the published apps is a bit cumbersome to navigate. Here is an example of an app, “Data Quality Dashboard”, that shows up twice, this is the same app but with different versions. The only way to tell from here is the updated timestamp. Would be nice with some kind of indicator showing which is the current version of the app, and maybe some kind of grouping that indicates that it is in fact the same app and not just two apps that happen to have the same name. The apps have a label that shows whether it is a “Flows app” or a “Streamlit app”, but these labels are not searchable, nor is there any functionality that allows for filtering. Would be nice if it was possible to add labels/tags to apps that were searchable allowing us to filter and group apps together. When we have 50+ apps it can be somewhat difficult to navigate.Markus PettersenAker BP - Data Platform Architecht

Currently if I perform a search, in equipment for example, I can only display the first 100 results with no ability to see the remaining results.  There is also no way for me to export the results to an excel spreadsheet. We can work around the export issue but there doesn’t appear to be a workaround for viewing more than the 100 first results.   

Hi,I am discovering and learning CDF, I am following the Fundamentals course and I have an issue with contextualizing the P&ID: when I run the parser I get the error below:    Is there something I missed or is is related to my computer or browser? Thank you for your help

The color in the status bar doesn’t match the legend: 

I come from a data analysis background, specifically working on anomaly detection in power plant equipment operations. I find Cognite to be a great learning platform.I would like to suggest whether it is possible to have a sandbox environment where we can practice using data and apply our own logic. Recently, I received communication from Cognite encouraging users to implement their own anomaly detection ideas, which is a great opportunity to learn and contribute.Having access to a sandbox setup with relevant data would allow us to build and test data models for anomaly detection. This would be beneficial for both learning and practical application, especially since the platform is closely aligned with real plant operations.

Hello, We have around ~10/15 CDF functions. We deploy these functions via cdfToolkit.We notice that deployment of new version of a function takes around ~10min in order for it to be fully available. In the worst case where we modify a common module used by all function, redeploying of all functions can reach ~30-40mins. During this time these functions are not available and results in a failure in the dependent high frequency workflows. We wonder if there is a way to accelerate deployment of new function versions. Thank you!  

I am currently facing an issue where the dataset data type is set as string = true, whereas it should be false (numeric). As a result, the chart is not displaying any data due to the field being treated as a string.However, when I download the dataset as a CSV file, the data is present. Could you advise if there is a quick fix on your side to convert the data type from string to numeric?  

How to get Early adopted for document parsing, i got 3 environments in the request - https: //cognite. zendesk. com/hc/requests/18058. please can someone make it available for us in those 3 environments ?xom-upstream-devxom-upstream-testxom-upstream

May our 3 projects have access to Document Parser as an Ealier adopter ?i have opened this request -  https: //cognite. zendesk. com/hc/requests/18058

what are the typical use cases that Cognite AI can solve Integrated Supply Chain challenges?

I uploaded a PDF maintenance manual into Cognite CDF using:client.files.upload(...)The document is successfully indexed by the Documents Engine.I can confirm that:- client.documents.retrieve_content() works- client.documents.search() returns the document- last_indexed_time is populated- truncated_content contains extracted textExample document metadata:{  "id": 3652062792350259,  "external_id": "HACTL_CSS_Manual",  "name": "HACTL_CSS_Manual",  "title": "Hactl.md",  "mime_type": "application/pdf",  "last_indexed_time": "2026-05-06 14:57:28.531+00:00"}However, Atlas AI still responds with:“I could not find any uploaded maintenance manuals related to wheel carriage troubleshooting in the system.”Questions:1. Does Atlas AI automatically use Documents Search semantic indexing from files uploaded with client.files.upload(), or does it require CogniteFile instances + upload_content()?2. Is Atlas AI document retrieval based on:   - Documents semantic search   - passages/search   - or instanceI

Hi EveryoneWe're looking for guidance on the best approach to bulk-download file contents from CDF. We have approximately 295000 files across several datasets that we need to download. We've tried the Cognite Toolkit CLI's cdf data download files --include-file-contents, which works but has a hard limit of 100 files per invocation and requires manual filtering to stay under that cap which is not feasible at our scale.Questions for the community:1. Has anyone done bulk file downloads at this scale? What approach worked best?2. Is cognite-cdffs suitable for ~295k files, or is the SDK with manual batching more appropriate?3. Are there any rate limits or throttling considerations at this volume?Thank you in advance!David Shaji George

For metadata on assets (and other object types) in the app UI, the text is capped even though there is a lot of white space. Inconvenient when viewing it on a big screen and expecting to be able to see the whole string.    

Hi, I am struggling trying to find my the description field is empty "-" for my assets (in Data Management > Data explorer > Assets. Looking for the problem I verified the followingsuccessfully imported data into RAW (seen under Data Management > Integrate > Staging)     successfully ran transformations on the RAW table and populated CogniteAssets (seen under Data Management > Data models > Data Management > CogniteAsset)    Any advice would be helpful? 

Hi CDF community, during setting up my data sources to follow the part 2 training in CDF-fundaments, I receive an error message during creation of the database.  Pls can you assist me on how to continue ? 

Hi,I have a Prosper Connector deployed and I’m trying to fetch the flowsheet from my simulator model routine, but it is emptyI am using the sdk:client.simulators.models.revisions.retrieve_data("my_revision")and I only get model_revision_external_id data_set_id created_time last_updated_time I saw that GAP connector has this option: https://docs.cognite.com/cdf/integration/guides/simulators/connectors/gap/gap_model_parsing#enable-model-extractionbut it didn’t work for Prosper Any thoughts? Also, is there a tutorial to use it?

With Tableau 2026.x introduced the native REST API connector, I wanted to check if anyone has explored using it to connect Cognite Data Fusion (CDF) APIs.Has anyone successfully connected CDF data via the Tableau REST API connector, or evaluated this approach?Any insights, limitations, or best practices would be greatly appreciated. Thanks in advance!