Unanswered questions

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

Hi,We're using the Cognite DB extractor (version 3.9.2) with a MongoDB database (Azure Cosmos DB via the MongoDB API) and are trying to set up incremental loading.The documentation for mongodb (https://docs.cognite.com/cdf/integration/guides/extraction/configuration/db#databases.mongodb) doesn't mention the use of start_at and incremental_field but after testing them and looking at the debug logs, we can see the extractor sends the {start_at} placeholder literally without substituting the state value. My questions are:    1. Is start_at substitution supported at all for MongoDB JSON queries, or is it SQL-only?    2. If incremental loading is not supported for MongoDB, is there a recommended workaround?Thanks.

How does asset hierarchy work in CDF?

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.    

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, 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!

Hello everyone ! Since this morning (3AM Paris time ) we encounter serious problem with our MQTT hosted extractor. Setup- CDF region: West Europe 1- 1 Source (Azure Event Grid MQTT broker, port 8883, TLS cert auth) controlled externally- 1 Destination (single sink, single CDF session)- 2 Jobs (topic filters), both using the same source and same destination:  - xxxx/OUT/xxxxxxx/AA/#  - xxxx/OUT/xxxxxxx/BB/# ProblemSince this morning (~03:00 UTC+1), both topic filters are stuck in connection_error with the following error looping in the event log:Could not establish connection: Mqtt state: Server sent disconnect with reason 'None' and code 'SessionTakenOver'Both jobs were running fine until today. No configuration changes were made on our side. What we tried1. Paused one job to isolate — the other still fails alone2. Paused both, waited 10 minutes, resumed — connects briefly then gets kicked again3. Deleted 10 legacy/unused sinks and 1 old paused job (cleanup) — no change4. Checked Azure

Hello,I am running a function ‘dq_validate_model_integrity’ and ‘dq_validate_broken_references’ which give a 403 unauthorized error for a timeseries intermittently. There has been no change in access or data yet its failing sometimes with a 403 error.Could you please let us know why this issue is coming up frequently?PS: I have attached the screenshots of the passed and failed statuses of both functions with the timestamp as well as the logs of both failed functions. Do let me know if there’s any more information required from my end. Thanks alot :)

When attempting to upgrade from version 0.7.237 to 0.8.33, we saw the following error in our deployment log ERROR (ResourceDeleteError): Failed to delete raw databases due to API error: Request failed with status code 400: Tried to delete non-empty databases raw_miros non-recursively.The request body and response has been written to deploy_logs_2026-04-24/2026-04-24T15_28_00.297618+00_00.json for debugging purposes.The raw_miros database is referenced in input files with the .Database.yaml file extension and with contents like this- dbName: '{{raw_db_name_prefix}}_miros' tableName: header_alv- dbName: '{{raw_db_name_prefix}}_miros' tableName: header_iaa- dbName: '{{raw_db_name_prefix}}_miros' tableName: header_ska...Based on dry runs, it seems like we can avoid database deletion attempts by renaming the files to have the .Table.yaml file extension.The YAML reference page for Cognite Toolkit statesRAW table configuration filenames must end with Table, for example, my_table.Table.yam

Hello,  Is it planned to support RAW querying via CDF Grafana Datasource ?  Thanks ! 

Hello, In our project, we need to use TIMESTAMP_LTZ data type for our timestamps. This data type is only available in Spark starting from 3.4 version. Is it possible to upgrade your version (which is 3.3 I believe) to 3.4 at least please? Thank you

I am new to extending CogniteCore data model to further extend. How to Import CogniteCore datamodel to further extend in a new datamodel space. 

Hello,  Since function deployment using cdf tk is asynchronous, function can fail without any error feedback and stay in failing state until next deployment..Any recommendation to avoid this?Thanks  

KepServerEx 6.10 OPC UA Configuration Manager : KepServerEx 6.10 OPC UA Node ID :config.yml :source:    endpoint-url: opc.tcp://127.0.0.1:49320      #This is your OPC UA server url    auto-accept: true    queue-length: 10    username:     password:     browse-chunk: 1000    attributes-chunk: 1000    x509-certificate:            browse-throttling:        max-node-parallelism: 10   extraction:    id-prefix:     # Delay in ms between each push of data points to targets    # Alternatively, use N[timeunit] where timeunit is w, d, h, m, s or ms.    data-push-delay: 5000        # Source node in the OPC-UA server. Leave empty to use the top level Objects node.    # If root-nodes is set, this is added to the list of root nodes.    root-node:        # Full name of the namespace of the root node.        namespace-uri: "Simulation"        # Id of the root node, on the form "i=123" or "s=stringid" etc.        node-id: "s=Simulation"            # List of proto-node-ids similar to root-node.    # The

Hello, Currently using cdf-tk version 0.5.111. The bySpace param on btree indexes is not yet supported in this version.We are trying to migrate to version 0.7.220. Although, this version sets correctly the bySpace param on indexes it does not seem to resolve correctly the view dependencies in our data model.Error trace:  Deploying 375 views to CDF...WARNING [MEDIUM]: Found a strongly interdependent set of 75 views: sp_dm_dap_knowledge_graph:BHAComponent(version=4.3), sp_dm_dap_knowledge_graph:BHARun(version=4.3), (...)sp_dm_dap_knowledge_graph:WellPath(version=4.3), sp_dm_dap_knowledge_graph:Wellbore(version=4.3) and sp_dm_dap_knowledge_graph:WellboreSection(version=4.3). This might indicate a data model design issue, and the deployment might fail due to API batch size limits.Traceback (most recent call last):  File "pypoetry/virtualenvs/drillx-dwdap-cdf-toolkit-fxS2v_xU-py3.13/bin/cdf-tk", line 8, in <module>    sys.exit(app())             ~~~^^  File "pypoetry/virtualenvs/drill

I am not able to login/access CDF workspace in the last few days using my work email id which I used for registering. I am able to access the Cognite courses though. I was able to access workspace during early days of last week.PFB error message I received during my attempt to workspace accessAADSTS90072: User account 'sivaramat@virtusa.com' from identity provider 'https://sts.windows.net/0d85160c-5899-44ca-acc8-db1501b993b6/' does not exist in tenant 'Cognite Hub' and cannot access the application '9f039f43-cd64-4d32-abc1-333ca411e5f9'(Cognite Data Fusion) in that tenant. The account needs to be added as an external user in the tenant first. Sign out and sign in again with a different Azure Active Directory user account.

 Does anyone know if there is any training available in China, either onsite or online?

cdf version is 0.7.236.i cannot find the same quickstart mentioned in the training material. below is the screenshot from my environment.   the instruction mentions two times about “would you like to make changes to the selection”. the action is inconsistent.  The second question should be updated to be the real one.