Solved

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

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 ! 

When hovering over the dropdown, the legends are lingering making it hard to find and click on correct time series. Happens when creating calculations in Charts. 

Hi,I am trying to install Prosper, GAP and Unisim connectors but the instalation is failing for all of them.It just says that it cannot start the service and that is the only message I gotStart-Service : Failed to start service 'Cognite GAP connector 2.0.0-beta-6 (GapConnector)'.At line:1 char:1+ Start-Service GapConnector+ ~~~~~~~~~~~~~~~~~~~~~~~~~~ + CategoryInfo : OpenError: (System.ServiceProcess.ServiceController:ServiceController) [Start-Service], ServiceCommandException + FullyQualifiedErrorId : StartServiceFailed,Microsoft.PowerShell.Commands.StartServiceCommand 

Team, I am trying to schedule math functions, specifically addition of 4 tags and averaging of 4 tags.These need to run specifically at 10:05am as these are totals that are reported once a day, at approximately 10am EST.How can this be done and make these values available for use in Grafana? Thanks for helping!

I used to run this version to upload simulator connector, model and routines, but it is not working anymorehere is the error I pydantic_core._pydantic_core.ValidationError: 3 validation errors for PagedResponse[GroupResponse]items.324.capabilities.6.acl.scope.scope_nameInput should be 'all' [type=literal_error, input_value='agentExternalIdScope', input_type=str]For further information visit https://errors.pydantic.dev/2.13/v/literal_erroritems.526.capabilities.6.acl.scope.scope_nameInput should be 'all' [type=literal_error, input_value='agentExternalIdScope', input_type=str]For further information visit https://errors.pydantic.dev/2.13/v/literal_erroritems.639.capabilities.6.acl.scope.scope_nameInput should be 'all' [type=literal_error, input_value='agentExternalIdScope', input_type=str]For further information visit https://errors.pydantic.dev/2.13/v/literal_error

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

I am program manager with one of IT service organization. I want to know, what all the courses i need to complete in order to make sure i have all the information i need in order to manage a program?

Hi All,I just created an Asset in the Cognite Fundamentals workspace, following the guidelines from the course. After following all the steps mentioned I was expecting to find the asset Pranav1992 in the Search under Other Categories after logging into Industrial Tools workspace.However, upon filtering I do not see it there, can someone please help if I missed something?Thanks,Pranav

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

Hi team,I’m unable to launch or use the Jupyter Notebook environment on the Cognite Data Fusion (CDF) platform. The notebook either fails to start, gets stuck while loading, or does not open at all. I have tried refreshing, restarting the session, and switching browsers, but the issue persists.  Please let me know if there are steps I can take to solve this issue.Best Regards

We have requirement to update capabilities in existing groups in CDF using Python SDK/API, we can add capabilities while creating group using python SDK, but if we want to updated that created group no provision for that. we tried client.iam.groups.create(group) but it creates new group with same name, in this case how we can update capabilities in group?

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.

 A customer had a Streamlit app that it previously worked without any problems, but it started failing recently.     I believe that after a recent update—likely related to the Cognite libraries—the app stopped working and now throws the following error: ImportError: cannot import name 'NoExtraItems' from 'typing_extensions'(/lib/python3.12/site-packages/typing_extensions.py)Traceback:File "streamlit/runtime/scriptrunner/exec_code.py", line 88, in exec_func_with_error_handlingFile "streamlit/runtime/scriptrunner/script_runner.py", line 588, in code_to_execFile "/home/pyodide/mainv3.py", line 7, in <module>from cognite.pygen import generate_sdk_notebookFile "/lib/python3.12/site-packages/cognite/pygen/__init__.py", line 6, in <module>from ._generator import generate_sdk, generate_sdk_notebookFile "/lib/python3.12/site-packages/cognite/pygen/_generator.py", line 19, in <module>from cognite.pygen._core.generators import SDKGeneratorFile "/lib/python3.12/site-packages/cogn

I have used the db extractor before, but with version 4.0.0 it now comes with a connect.yml and a config.yml. The documentation still lists one config file to be used. I’m not sure how to use the connection file, which looks like it used to be the cognite portion of the of the config file.I tried combining the two into one file, but when running “ dbextract.exe -c config.yml “ I am getting errors that its not expecting inputs such as version, log-handlers, database, and queries.How am I supposed to use these 2 different files when I run as an executable?Thank you

We have a Cognite Function in which we are retrieving rows from staging tables using below sdk commandclient.raw.rows.retrieve_dataframe(db_name, tbl_name, limit=-1)The problem we are facing is the above command returns an empty Dataframe (0 columns, 0 rows) even though the table exists with data. The code execution does not fail but returns an empty Dataframe.When I manually/locally run the above command on the same database and tables, I get the required data.However, when running inside a CDF function it returns a Dataframe with shape (0,0) 

I have a data model in CDF (for sales/demo purposes) that is in SpaceA and i populate with data in “CustomerASpace”, “CustomerBSpace” etc.I’ve used this approach for only 1 customer and has worked well. (used “cornprocessing” space)Today I populated data (new assets/timeseries) assigned to a different space (ketchupspace).I use a custom streamlit app to ingest CSVs and write to the pre-existing model.The new entities can be seen in both the streamlit app and the data model UI directly. However these new entities do not show in Search using a new Location pointed to the data model and “ketchup” space. If I switch the location in Search to the previous/1st location, it works fine.Any ideas are appreciated. If this is not clear and you need more info, let me know.Chris

Hi,So I am following the course - Learn to use the Cognite Python SDK. In the course, I need to create a data set but when I login to ‘ds-basics’ project, the option to create data set is disabled. Can I get help on enabling this option? 

Hello experts,I have a question about Cognite Functions. I know there’s a limit on the size of the input data, as discussed here : Cognite Hub and documented there : Cloud provider limitations - Cognite Docs But is there a limit on the size of the function’s output? I have one that works perfectly fine but crashes without any explicit error message when handling a large output payload (>500 KB). I’m on Azure provider.Is there any information on this? Thank you,Best regards,Pierre Rambourg edit : the initial error was on my side, but i’m still interested for output limits !

I'm experiencing an issue with the Workflows editor where the bottom toolbar buttons (zoom in, zoom out, pan to center, auto layout) stop responding in certain conditions.Steps to reproduce:1. Open Workflows in CDF2. Create or edit a workflow3. Open the right panel (e.g., click on a task/agent to configure it)4. Try clicking the zoom in/out/pan buttons in the bottom toolbar5. Observe: Buttons don't respond when right panel is close to the left toolbar6. Maximize browser window or close right panel → buttons work againExpected: Toolbar buttons should work regardless of panel positionsActual: Buttons appear to be blocked, clicks don't register when panels are close together Workaround: Maximize browser window to create space between panels before using toolbar buttonsHas anyone else experienced this? Is there a better workaround or is this a known issue?  

I have 3 Views, ViewA, ViewB & ViewC. View A has direct relations to ViewB & ViewC via properties DefectEventID & AssetId, respectively. Pagination is expected and with Instance.Query end point, looping via cursors, it is not giving results for ViewB  & ViewC, apart from the first 100 records from the first call of instances.query(query). What is the best way to populate all_ViewA_Nodes,all_ViewB_Nodes ,all_ViewC_Nodes  Pagination via multiple cursors from Instance.Query?query = dm.query.Query(            with_={                "ViewA_Nodes": dm.query.NodeResultSetExpression(                    filter=filters.HasData(views=[ViewA]),                    limit=100,                ),                "ViewB_Nodes": dm.query.NodeResultSetExpression(                    from_="ViewA_Nodes",                    through=dm.PropertyId(                        source=ViewA,                        property="DefectEventID"                    ),                    direction="outwards", 

In addition to using config.[env].yaml, is it possible to create a custom file for configuring variables and then reference those placeholders in data models, transformations, workflows, etc ?For instance, I have several common SQL blocks that I would like to share across different transformations. While I could define them as variables in config.[env].yaml, I prefer to keep SQL-related variables separate from others in order to maintain clarity.

Hi,In the course “match entities with python sdk ” https://learn.cognite.com/match-entities-with-python-sdk, when running the notebook, I can modify it to connect to Cognite using the same credentials as in the “Learn to Use the Cognite Python SDK” course. When I get to cell 5, I get this error:“””TypeError: DataSet.__init__() missing 5 required positional arguments: 'id', 'created_time', 'last_updated_time', 'description', and 'metadata'“””This is what is in cell 5:# Create datasetstry: bra_dataset = client.data_sets.create(DataSet(external_id="BRA_TestData", name='TestDataset', write_protected=True))except CogniteDuplicatedError as e: print("BRA_TestData already exists, you can continue") bra_dataset = client.data_sets.retrieve(external_id="BRA_TestData")try: nor_dataset = client.data_sets.create(DataSet(external_id="NOR_TestData", name='TestDataset', write_protected=True))except CogniteDuplicatedError as e: print("NOR_TestData already exists, you can continue") nor

I am using Cognite for learning purpose and college project.When I try to create a service account in publicdata organization ,  I am getting 401 Unauthorize error.The reason I want this service account is to handshake between ADO and cognite. I just want a sample project and do some hello-world POC here. Please guide and help on the same.Thank you