Developer Community

Hi Cognite Team,I'm building a React dashboard using Cognite Data Fusion for my portfolio and would like to know if there are any demo projects available for working with CDF data.

Hello,What are the best practices around setting the max-workers for a sdk. If I do not set the Global Config all the default values for workers and retries would be picked correct ? Can you give any reference on how we can set GlobalConfig, I mean I did not see any way to pass the GlobalConfig to ClientConfig ?

I created an asset hierarchy with the Cogntie Core Data Model, then I created a custom data model through neat and I need to migrate the assets from the core data model to the custom extended data model, I tried creating a transformation but got the following error: failed with status 403: Properties [assetHierarchy_path, assetHierarchy_path_last_updated_time, assetHierarchy_root] are maintained by DMS and cannot be modified by end users. is there a way I can migrate/update the core data model assets to our extended data model?

I’m trying to use Update extraction pipelines method to update my extraction pipelines created. Here are some issues i face:1. I’m unable to update contacts for an extraction pipeline, it throws the below error:code - contact_info = [ExtractionPipelineContact(name="sangs", email="sm6@slb.com", role = "MAINTAINER", send_notification=True)]to_update = ExtractionPipelineUpdate(external_id="<PIPELINE-EXT-ID-2>")to_update.contacts.set(contact_info)client.extraction_pipelines.update(to_update)error - “CogniteAPIError: Unexpected field - items[0].update.contacts.set[0].send_notification - did you mean sendNotification? | code: 400 | X-Request-ID: 918d1113-6a5e-9d38-b850-61e3dc54c220 The API Failed to process some items

Hi Cognite Team,Is there any document which can show , how to fetch confidential information from private end point key vault  on Microsoft azure key vault. 

Hi Everyone,I need to create query like it is creating on cognite UI’s  like   { "listEntity": { "with": { "0": { "limit": 50, "nodes": { "filter": { "and": [ { "matchAll": {} }, { "hasData": [ { "type": "view", "space": "slb-pdm-dm-governed", "externalId": "Entity", "version": "1_7" } ] }, { "or":

Hello, When I’m connecting to the virtual machine Ubuntu, I’m facing a pop-up “connection failed”. It seems that my internet connection is not set up, do you have any idea to do so ? I’m not able to do rest of the training without connection. Thanks 

I'm using python sdk and wanted to query instances based on a condition using “data_modeling.instances.query” method. i have a view “TimeseriesProperty” and it has a direct relation/reference to "TimeseriesPropertyType" view. Is it possible to have a distinct filter on the result, because multiple “TimeseriesProperty” instances can have the same "TimeseriesPropertyType"  instances , we don't want duplicated "TimeseriesPropertyType"  instances coming in response for below query: view_id= ViewId(space="slb-pdm-dm-governed", external_id="TimeseriesProperty",version="2_0")v_id_2_PROP = ViewId(space="slb-pdm-dm-governed", external_id="TimeseriesPropertyType",version="2_0")query= Query( with_= { "TimeseriesProperty":NodeResultSetExpression( limit=10, filter= HasData(views=[view_id])), "TimeseriesP

What capabilities are required to run a transformation using client credentials? I have a client_id and client_secret that when I add to the transformation and hit ‘Test credentials’ it says ‘Credentials verified’. However when I run with client credentials I get an error: Transformation job could not be created. Error code: 403 API error: Invalid source/destination credentials: Token did not provide access to project kuraray-america. Request ID: eb5136ee-594d-971f-b27a-7be0d1a60b15these credentials are a part of a group that that has read and write capabilities to:transformations sessions datamodelinstances (that is what this particular trasformation is creating)Additionally I am part of the same groups as this client_id, and I am able to run the transformation using ‘run as current user’ successfully

Use CaseI am building a dashboard in Power BI that will visualize Events from CDF (about one million events per year). So to make the solution scale I want to use incremental refresh of the semantic model so I only refresh the model with the newest Events since the last refresh.I have followed your tutorial on Incremental refresh (which seems copy/paste of Microsoft’s tutorial), but I still have questions:What happens if the StartTime attribute of an Event is a date/time/zone when loaded into the model? The attribute needs to be a date/time type, which means I need to convert the type first. How will the incremental refresh work if the model needs to load the data in order to convert the type, and then apply the RangeStart/RangeEnd filters? Can I use Incremental refersh with the new REST API Connector? When I load events with the new connector I get the start times as number of milliseconds since epoch. So the type conversion from above al

Hi Everyone,Is there a way to create an alert directly on a calculated series in Cognite Charts?From what I’ve found, to create an alert for a calculation, I first need to schedule the calculation and then run the alert on that scheduled result. However, scheduling doesn’t seem to work well in my case.For example, if I receive machine data every hour, I also need to schedule the calculation every hour. Sometime scheduling stops by itself. It would be much easier if we could create alerts directly on the calculation without scheduling.Secondly, I’m not finding clear documentation or videos on how to schedule calculations properly and what best practices to follow. If anyone has experience with this or can share guidance, please let me know.Thanks!   

Hello,I’m looking to compute the standard deviation of a timeseries on the fly with synthetic timeseries.I expected to use this pseudocode formula : sqrt(avg(pow(TS{externalid}-avg(TS{externalid}),2))) with endpoint :client.time_series.data.synthetic.query(    expressions=expression,    start="2w-ago",    end="now")Unfortunately, avg expect at least 2 inputs, I try to switch to aggregate feature but I found it available only for timeseries, not synthetic timeseries.expression = '''sqrt( avg( pow( ts{ID} - ts{ID, aggregate="average", granularity="14d"}, 2 ) ))'''Do you have any tips or workaround to compute this value when “start” value changes ? Dont hesitate to explain I'm open to any opportunity to calculate this metric usi

I am getting following error when ingesting files from SharePoint site to CDF. send_request_body.failed exception=LocalProtocolError('Too much data for declared Content-Length')Anything I need to specify in .yaml file to allow content-length? Also how do I trace which file is causing the problem. I changed Logger to DEBUG level but still don’t see the file name info.Thanks,Zuber

Hello experts,We want to achieve the following workflow:Once a new instance is created/added in our datamodel container Another workflow must be triggered immediately We do not want to create a scheduled based polling to invoke our workflow since our workflow is time sensitive and high importanceCould you please let us know if CDF supports this functionality? Or suggest a way to achieve it.I have explored the CDF in my limited knowledge, I found that subscription is available on Data Model, but it is not enabled in our environment.Could you please help me in this.Thanks,Pranjul Singh  ​​​​​​​    

Hello,  We are using: Toolkit Version '0.5.20' We are having a file schedules.Function.yaml: - name: Run every 10 minutes to do some work functionExternalId: fn_name description: Run every 10 minutes to do some work cronExpression: "*/10 * * * *" data: extractionPipeline: "test"When deploying we have this error trace: Traceback (most recent call last): File "venv/bin/cdf-tk", line 8, in <module> sys.exit(app()) File "venv/lib/python3.10/site-packages/cognite_toolkit/_cdf.py", line 116, in app _app() File "venv/lib/python3.10/site-packages/typer/main.py", line 340, in __call__ raise e File "venv/lib/python3.10/site-packages/typer/main.py", line 323, in __call__ return get_command(self)(*args, **kwargs) File "venv/lib/python3.10/site-packages/click/core.py", line 1161, in __call__ retur

Is there a way to configure a Hosted HiveMQ Extractor to extract the data into CogniteTimeSeries and not the traditional Time Series?

WITH archived_wells AS ( SELECT DISTINCT ac.WellId FROM cdf_nodes( 'sp_dm_dap_knowledge_graph', 'Activity', '0.71' ) ac JOIN contextualization.dap_wellview_wellid_space_mapping map ON ac.WellId = map.key WHERE map.Archived = TRUE AND ac.Archived = FALSE)SELECT s.externalId, s.space, s.WellId, true as ArchivedFROM cdf_nodes( 'sp_dm_dap_knowledge_graph', 'WellState', '0.71' ) sJOIN archived_wells aw ON s.WellId = aw.WellIdWHERE s.Archived = FALSE AND EXISTS ( SELECT 1 FROM archived_wells )WellState has 20M rows of data. To improve SQL performance, I want to use a CTE to get the IDs of archived wells and then update WellState (archived and WellId are in

Hello, We are using cdf toolkit to deploy our container, views and data models.We recently added many new views, these views are dependent. i.e: they reference each other in the properties through a source block or via implements block. Here an examples of these view dependencies:- externalId: View1 implements: [] name: View1 properties: test: container: externalId: Container1 space: some_space type: container containerPropertyIdentifier: Test name: test source: externalId: View2 space: some_space type: view version: v1 space: some_space version: v1- externalId: View2 implements: [] name: View2 properties: wow: container: externalId: Container2 space: some_space type: container

Is there a way to delete the relationship between an instance and a container? Let’s say I have a view Foo in one data model and another view FooExtension in another data model. FooExtension implements Foo.I have an instance of externalId “FOO”, space: “FOO-DAT” that have data stored in both views/containers.If it was no longer necessary to store data in container FooExtension is there a way to just delete this relationship in a way that `hasData(FooExtension)` from the DMS Query doesn’t find this instance anymore without affecting the data stored in Foo and the instance itself? Since instance count is limited, it’s becoming more common in our project modeling things having the mindset of shared instance when they mean the same thing across data models but with different formats to present the data on different Apps. But sometimes we don’t want to have the data in the app anymore and virtual deletion (boolean flags) is not always an option specially

Hello esteemed members of the Cognite community,I come to you with a sense of urgency and a deep need for expert guidance. I've been attempting to familiarize myself with Cognite for the last six months, and despite my best efforts, I find myself at an impasse with some critical aspects. My situation is time-sensitive, and I am truly hoping for your assistance to navigate this complex but fascinating journey.My Setup:Environment: Google Colab (Free version)SDK: Cognite Python SDKAssets: Wind Farm with two sub-assets (Asset A and Asset B)My Goals:Connect to Cognite Project via Python SDK: I need to use my client ID and client secret to establish a connection from Google Colab.Create Hierarchical Assets: My aim is to create a parent asset, named "Wind Farm," and within this parent asset, include two child assets, Asset A and A

I'm using python sdk and wanted to query instances based on a condition using “data_modeling.instances.query” methos . I have a view called TimeseriesPropertyType which has a field (properties: [Property]) which is a reverse direct relation throughProperty: "propertyType".i just need to check if there are any “properties” field values associated with each instance of the TimeseriesPropertyType view. for that I'm fetching data in property view associated with those particular TimeseriesPropertyType view and doing the check manually in code.. is there any direct filter i can use that's available? i dont see any filters available on properties field in query explorer for the samebelow is the query im using #view_id_ts_prop_type - TimeseriesPropertyType view#view_id_property - Property viewquery= Query(with_= { "TimeseriesPropertyType":NodeResultSetExpression(

I am using CogniteSdk c# to query data model from CDF. When I tried to execute it, it did not return row items. Instead it just returned below result:What is the correct way to use the DataModel in C# CogniteSdk to return rows of data as per below? 

Hi,I have a view called "Entity" in an existing model with mandatory properties "name", "description" and "isVirtual".Now, I have a new version of "Entity" in which I have decided to implement CogniteDescribable from CDM for name and description, where these fields are not mandatory.When I try to ingest data into the new version of this view, it gives me a non-writable error since the mandatory properties that I had created for the older version is not getting populated.Is there any way to overcome this?Can I map the mandatory container to the container used in CogniteDescribable, so that when I ingest data in the new version, it automatically ingests the mandatory container as well?If yes, can you please share a YAML example of the same to be deployed through toolkit?Please note that both the mandatory and non-mandatory containers have the same name "name".

Hi Team, I need help to write the unit test using pytest,below is the code:    row_list = cognite.raw.rows.list(file.destination.database, file.Extractor_Last_Run_Table, limit=-1,                               columns=["key", "LastUpdatedDatetime"]).to_pandas()    if not row_list.empty:        val = list(row_list[row_list.index.isin([file.Extractor_key])]['LastUpdatedDatetime'])Could you please help to write the unit test for above code?Thanks

Hello, We are using cdf toolkit to deploy our data models. We have a relatively a big data models that uses 478 views. Each time we deploy a breaking change our data model architecture (well centric) obliges us to redeploy a new version for all views. We notice a huge deployment time at the dependencies resolution step: 2025-08-19T09:34:54+00:00 WARNING [LOW]: Failed to create 478 views: One or moreviews do not exist: 'sp_dm_mud_brines_for_ops_real_wview:Activity/0.10'.. Attempting to recover...The overall deployment time takes 35 mins, this way bigger than our standard CI/CD job duration where we try to keep it under 10min at worst. Is there a way to optimize this please?  Thank you!