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I have created a function that was configured to 5G of memory and 2 CPUs to run huggingface AI model (py311). Deploying the function went fine. However, when running the function it throws this error.  RuntimeError: [enforce fail at alloc_cpu.cpp:118] err == 0. DefaultCPUAllocator: can't allocate memory: you tried to allocate 9437184 bytes. Error code 12 (Cannot allocate memory)  

Are there any documented use cases or papers on integrating MLflow with Cognite, or is it something we need to implement ourselves?For example, if we aim to seamlessly integrate the MLflow UI with Cognite to evaluate and select the top-performing models, we could leverage SQLite, which operates on the local file system (e.g., mlruns.db) and provides a built-in client, sqlite3. However, our preference is to seamlessly integrate it with Cognite.

Hi,I’ve encountered a bit of issue with CDF when using Microsoft Edge. The full screen button doesn’t do anything. In Chrome and Firefox it does as expected and opens the document in full screen mode.Regards,Markus

Hi, i have set notification to alert when runs failed. However, i noticed that am still receiving email notifications wherever the extraction pipeline is successfully executed. Could you please advice. thanks  

charts Daily average of the previous dayIf anyone knows a good way to do this, please let me know.I would like to see the previous day's 24-hour values by averaging the data over the day with a mean of 0 days 24:00:00 (resampling to granularity), but due to the UTC+9:00 specification, the previous day's processing does not occur until 9:00 AM in japan.I would like to see the previous day's nightly processing volume average at 8:00 AM.The only way I can think of is to use the “shift time series” to force it forward, i would be appriciated if anyone have a better idea.. 

I would like to know the benefitS of implementing UNS architecture in CDF. A detailed guide would be excellent to show how to implement it in the oil and gas refinery with all the prerequisites and third-party platforms along with that.

Hii Team,I'm looking solution for below problem.Currently we have build our custom model using core data model. we have timeseries available in cdf.timeseries resource. Now i want to provide timeseries reference in below view using transformation. Can anyone suggest how timeseries concept is worked in core data model using transformation. type TimeseriesProperty implements Property & CogniteTimeSeries & CogniteDescribable & CogniteSourceable  @view(version: "2_1") {  name: String  source: CogniteSourceSystem  entity: Entity  sourceId: String  sourceContext: String  sourceCreatedTime: Timestamp  sourceUpdatedTime: Timestamp  sourceCreatedUser: String  sourceUpdatedUser: String  isStep: Boolean!  type: CogniteTimeSeries_type  sourceUnit: String  unit: CogniteUnit  assets: [CogniteAsset]  equipment: [CogniteEquipment]  activities: [CogniteActivity]  acquisitionPeriodTimeZone: String  isAggregated: Boolean!  isAggregatedAtSource: Boolean  aggregationMethod: String  isString: Bo

I have set up the Cognite Pi Extractor on a virtual machine and am running into errors in the log:  Fatal error in request of type "CreateTimeSeries": Unauthorized. Unauthorized RequestId: , CDF Message: UnauthorizedI have checked that the client_id and client_secret being used in the config.yml have the ‘time_series: write’ capability for this project. Additionally, I have confirmed that the client_id and client_secret can be used with the python sdk to create timeseries in the project I am working with.Any ideas where I am going wrong?

I’ve had the OPC-UA extractor running for a couple of months with no issues. On Feb 19 it stopped pushing data to Cognite properly. According to Charts, it started pushing again on March 6. As I write this it is March 3rd. The data goes out thru June 2025,The host machine w/extractor has been restarted.The OS date/time looks correct. The log file has the correct date/time. I’d appreciate some advice.  

How is Agentic AI used in Cognite. Are there any use cases where Agentic AL is being used in the oil and gas industry?

Hi,we have quite a number of timeseries which have externalIds with spaces. Unfortunately this throws off the search algorithm of the data explorer (and also in charts when adding new data). Disallowing fuzzy search (which should not be necessary since we *know* the externalid we are looking for) yields no results. Why allowing fuzzy search for the name will give back almost all timeseries not even remotely related to the timeseries we are looking for. I tried placing quotes around the externalId without any success. Is there any way to protect the spaces in the name or to get the search to match externalIds including the spaces?

Can we use azure document intelligence in CDF documents and if I have CDF access then do azure services are free or not as AAD is assigned while creating account? 

Hello team, We have tried to query Entity view which has a property properties of type view Property which is a reverse direct relation.We are using the query endpoint and the instances.query() sdk method to do so.We want the details of properties to come in the select object of Entity. Providing the query below:{ "with": { "0": { "limit": 50, "nodes": { "filter": { "and": [ { "matchAll": {} }, { "hasData": [ { "type": "view", "space": "slb-pdm-dm-governed", "externalId": "Entity", "version": "1_7" } ] }, { "or": [ { "equals": { "property": [

​​​​​​​Can Unified namespace architecture be implemented in Cognite Data Fusion

Hi, I need to add the capability for read/write Timeseries Subscriptions. We are using CI/CD via the Cognite Toolkit. There is no documentation of the different capabilities for this, so I am unsure which Acl to use. I have tried “timeseriesSubscriptionsAcl” and it did not work. What is the correct Acl for Timeseries Subscriptions? Where can I find this documentation? If documentation for this does not exist, can it be created?

Hi Team,I wanted to know if it is possible to integrate Spotfire with Cognite Data Fusion. 

Lets say I have a view called ViewA, which implements CogniteSchedulable.As we know, CogniteSchedulable has the following properties:  Now, according to my requirement, I need to put a default value to the startTime and I also want to make endTime non-nullable. How do I override these settings? Since I am not managing the container definition for these containers, where do I make the changes?Any examples would be appreciated. 

I was checking if i can use the query endpoint (https://api-docs.cognite.com/20230101/tag/Instances/operation/queryContent/) to query data in view using filters on a native timeseries property of that view. in both query explorer as well as data management i observed as such there was no filters supported for native timeseries type property hence wanted to confirm 

Is it possible to trigger an email for a set of dynamically provided email IDs from a Cognite function? Since I don’t have a static list, I can’t integrate the Cognite function with the Extraction pipeline to use its notifications. I couldn’t find any documentation on this.If not, can we integrate a third-party library for sending emails inside a Cognite function?

Hi Hub, The recent weeks we have noticed an inconsistent authentication error with our deployed Cognite Functions. Seemingly, with no apparent reason, a function call fails with a https authentication error when trying to log into microsoft (see call log below). requests.exceptions.ConnectionError: HTTPSConnectionPool(host='login.microsoftonline.com', port=443): Max retries exceeded with url: /3b7e4170-8348-4aa4-bfae-06a3e1867469/oauth2/v2.0/token (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7f8dee0070d0>: Failed to resolve 'login.microsoftonline.com' ([Errno -3] Temporary failure in name resolution)"))The error is attributed to our first client call in our code, for events in client.events()where we loop over chunks of events. Have anyone experienced something similar, and know the cause of the error?  Thanks in advance.​​​​,Vetle.

Here are the features and functionalities that you can expect to find in Industrial Canvas as of June release:Work with several related data types:You can search and add the data you need in the canvas such as files, images, time series, assets, events. Use the button “Add data”. When adding P&IDs to the canvas, each highlighted area is clickable and can be used to add additional data to the canvas. Add personal files and images from your local machine by just using drag-and-drop. You can also add data to the canvas while being in Data Explorer, in Cognite Data Fusion by clicking on “Open in Industrial Canvas”.Add related data directly from the data already selected in the canvas  User interactivity:Create/Rename/Delete a canvas. Free form experience, canvas-like experience. You have access to different shapes, text box, sticky notes and connected lines. Easily add insights on top of selected data.Collaborate with your peers:Share the canvas with your colleagues by either sharing t

I have changed phones and am not able to setup Microsoft authenticator on the new one.Please reset the MFA Access so that I can set up the authenticator again.

Just wondering how I can access the File Annotations using the SQL statement (transformation) alike the Cognite Python SDK method: client.annotations.list(annotation_filter, limit=-1).

When we deploy Data Model using GraphQL then we can put some comments like documentation giving relevant info. This is helpful for people who look into Data Model’s graphql in web application. However, when we deploy using toolkit via yaml files the generated Data Model’s GraphQL do not have comments. Though we can add comment by editing in UI but that has to be done manually. Is there any way to have documentation in generated Data Model’s GraphQL when we deploy yaml files using toolkit?

I was fetching data using token.I am encountering a CogniteProjectAccessError while fetching data:"You don't have access to the requested CDF project='**' | Code: 401 | X-Request-ID: 6530e2ad-ff30-9d91-af29-218a4c3c0e62 | Cluster: **"