Unanswered questions

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.

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

Hi,I’m using toolkit to deploy files to CDF. I am using FileMetadata.yaml as in- externalId: 'my_external_id.usc' name: 'my_external_id.usc' source: 'toolkit' dataSetExternalId: 'my_dataset_external_id' mimeType: 'application/usc' metadata: origin: 'cognite-toolkit'I have my .usc file in the same folder and toolkit is not uploading the file (just deploying the metadata).The dry run recognizes that there is file content to be uploaded, but it does not do itUse case: I am trying to upload a file to be used in the simulator connector routine. I tried deploying just the file first and then deploy the routine and also tried both together, but it did not work.Any thoughts? 

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

Hello experts,I'm interested in the following function: the sum of all data points in a time series server-side.I know there are aggregation operations for a specific time interval, but I'm looking for either a cumulative or total sum.I'd like to be able to perform this operation on either a standard time series or a synthetic time series, but unfortunately, I haven't found what I'm looking for yet.Please see below for the operations I am performing; I would like a discrete summation between the multiplication and the output.Does anyone have a server-side solution? Regards,Pierre Rambourg

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? 

When using the industrial tools → search functionality. it’s not so untutitive that apply is not clickable when i want to remove filters on datamodels and search in all models.One would expect the user to be able to apply, cancel implies i do not select a filter on “all” and instead go back to my previously selected filters

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  

Hi all,I’m unable to access Data Engineer Basics – Integrate and Data Engineer Basics – Transform & contextualize getting the error shown below.Could anyone help me ? 

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

Hello, Can someone help with the below issue? Customer installed the FT DataMosaix SQL Extractors last year and the subscription ran out in November.The customer purchased a new entitlement in February. For some reason my extractors have not been able to push data from the site SQL server to the Cognite RAW database since Feb. 8th 2026.What can I do to correct this connection problem?Please see the attached file word doc with the customer’s ODBC check results. Regards,Henwill BalladaresRockwell Automation    

Hi All,I’m unable to access Data Engineer Basics – Integrations and Data Engineer Basics – Transform & contextualize I’m getting the error shown below.Could someone please help me with this? 

In “Learn to Use the Cognite Python SDK” Learn to Use the Cognite Python SDK, in notebook 3 (using-cognite-python-sdk/notebooks/3_Create_Update_Insert.ipynb at main · cognitedata/using-cognite-python-sdk), when I run it, it authenticates, and it all works (including notebook 1 & 2), up to notebook 3, cell 5. I get the following 403 error: Here is the text output of the error:“””CogniteAPIError: Not allowed to perform instances action: WRITE | code: 403 | X-Request-ID: 3e84dcdf-699a-92e5-9481-7eb475505e37 | cluster: westeurope-1 | project: ds-basics The API Failed to process some items: - Successful (2xx): 0 item(s) - Unknown (5xx): 0 item(s) - Failed (4xx): 2 item(s)“”” Can I please have advice on what to do? 

Hello, Is it possible to be alerted by email when a function or a workflow invocation fails? Thank you!

Hello Team,I am going through the Cognite Charts course and want to create a calculation but I don’t have write access…...can you please help me get this access to follow along the course  

Working with a hybrid model and creating node mappings using the following API:https://api-docs.cognite.com/20230101/tag/3D-Asset-Mapping/operation/create3DMappingsImplemented the CreateAssetMapping3DDmsBody to create the node mappings.However, when attempting to retrieve the list of node mappings along with their DMS instances, the response consistently returns an empty list. (Get 3D asset mappings, with query parameter getDmsInstances=true)Has anyone encountered this behavior or knows why mappings created through this endpoint are not appearing when queried? Any insights or guidance would be greatly appreciated.Thank you!

Hi! We are building a Bayesian model using PyMC with a JAX backend, and want to run this model continuously on new incoming data inside a Streamlit App hosted in Cognite Data Fusion. As the library depends heavily on compiled extensions, there are no pure Python wheel for this. Is there an alternative approach for running PyMC models?Thanks!