Community Discussions

Hi, could you please help me to register MFA using Cognite to do bootcamp prep hands on session?

Hello, We need to expose our CDF data to a Microsoft Power Apps.The official documentation only covers Power BI and Excel connectors. I found this older thread from 2022 describing how to build a custom connector: https://hub.cognite.com/other-419/how-to-build-a-connector-for-cdf-in-power-apps-cognite-official-1253Few questions:Is there now a native/official CDF connector for Power Apps, or is a custom connector still the only path? If so, is the approach in that thread still valid for current CDF API versions? Any known limitations (authentication, data volume, API compatibility...) to be aware of?Any guidance or pointers to up-to-date documentation would be appreciated.

The latest version of the Grafana connector supports unit conversion when CogniteUnit is defined. However, I’m not able to add the target unit to the label. I can add the defined unit using {{unit}}. Using the “Query Inspector” I see that the target unit is returned in the data object via the unitExternalId, but I cannot display it using {{unitExternalId}}.   Resulting legend Query inspector resultsI notice that some of the properties can be shown, like type and isStep, but I assume it is because I get it directly from the timeseries instance?Any suggestions to how we can add the target unit (without having to manually write it to the label)?

Hello!We have encountered some issues with backfilling on the PI Extractor. This usually goes automatically, and works fine. However, we do now have a 2 day gap in data on Cognite, however all that data is present in PI.Are there any way to “force” a backfill, or fix this issue somehow?Thanks! 

Hello!We have encountered some issues with backfilling on the PI Extractor. This usually goes automatically, and works fine. However, we do now have a 2 day gap in data on Cognite, however all that data is present in PI.Are there any way to “force” a backfill, or fix this issue somehow?Thanks!

Hello,I have a user who is interested in seeing a rolling total of a value within our Cognite instance. We have created a chart where we have a very simple setup of the data point we are interested in seeing over time, and a 30 day sliding window integration function on it, which is working fine and showing the value within the chart as needed. However, we are also interested in writing this data to another time series and then being able to display the current value of this time series on a canvas using the Live data point mode. I saved & scheduled the calculation to run daily within the Chart but the scheduled calculation and the time series which it created is getting no data, with no errors anywhere that I can see. Is this something that is possible to compute within Charts?

HiWe've hit a bug in cdf-tk (reproduced on 0.8.147 and 0.8.155) when deploying containers to a brand new space.We have 98 containers in a new space. One container has no constraints, but others reference it via a requires constraint pointing to the same space. cdf-tk sends all containers in a single batch. The CDF API seems to validates requires constraints against what already exists in CDF not against other items in the same batch so it rejects the entire batch with this error:Cannot create requires constraint 'requireMetadata' in container'sp_xxx:ContainerB'.Target container 'sp_xxx:ContainerA' does not exist.cdf-tk should sort containers by their requires dependencies before batching, so dependency free containers like containerA are sent before the containers that depend on them.We'd appreciate a fix in an upcoming release, or any insights regarding this issue.Thanks

 We're migrating a production line from classic time series to CogniteTimeSeries in the data model, ingested by the OPC-UA extractor from a Siemens IIH server, and we'd like to understand how much of the metadata we hold at the source can travel with the signal rather than being reapplied afterwards. Three things, in increasing order of interest to us: Engineering units — the UnitId is discarded. Our server sends the full EUInformation: NamespaceUri = http://www.opcfoundation.org/UA/units/un/cefact, UnitId = 4937544, DisplayName = kW·h, Description = kilowatt hour. What lands in CDF is only the composed display string, in classic unit and now in sourceUnit. The typed reference is never populated: across 2,772 OPC-UA-sourced classic series in our production project, unitExternalId is set on zero, and on the data-model side the unit direct relation to CogniteUnit is null on all 854 series of the migrated line. We fill it afterwards with our own script, but the UNECE common code in UnitId

Hello,  the default value for autoCreateDirectRelations for node creation is True. Cdf toolkit do not expose this config at transformation level today. This results into uncontrolled ‘empty’ instance creation when direct relationship nodes does not exist.Do you plan to expose this config to cdf toolkit so we can change the default behaviour?ref: https://docs.cognite.com/20230101/instances/create-or-update-nodesedges#body-auto-create-direct-relations Thanks Best,

We have an app deployed in abp-sandbox for “offshore regulatory assistance” (Flows + KG-RAG agent) on the Agent API (`az-ams-sp-002`, `cdf-version: beta`). While developing document export, I've encountered a reproducible failure pattern:Generation calls with complex instructions and/or long input intermittently return HTTP 200 with empty `content.text` — no error signal. The failure threshold shifted within hours on identical configuration: a 28.7K prompt succeeded at 18:15, 25K failed 12/12 an hour later, 15K succeeded at 21:49. Compression/summarization calls of similar size succeeded in the same window where generation calls failed.A report with the full test matrix is attached.Questions for Cognite (prepared with AI assistance):1. Could the endpoint return an explicit error/finish-reason instead of an empty 200?2. Are there documented practical limits for input size × instruction complexity?3. What is the roadmap status for streaming or async chat?4. Does a plain LLM endpoint with

Need help ASAP since this is on a customer’s system Using Core Data Model + Extended Timeseries container/viewUsing Pi Extractor against Rockwell Historiansee attached video for problem description and some configuration

We are migrating to the core data model. Time series we tested. We can ingest CogniteTimeSeries directly from the OPC-UA extractor. Assets are in progress.Sequences are our open question. We use them heavily for three things:Multi-dimensional rows tied to a timestamp or time range, where one time series per dimension is the wrong shape. Static reference data that many Functions read. Schemas where one data modelling instance per row would explode our instance count — short heating episodes, small production batches, and similar.What makes them attractive is the combination: readable in the UI, integer indexing, cheap, fast, and metadata slots both per column and per sequence.Looking at the core data model reference, I see no sequence concept — CogniteTimeSeries, CogniteActivity, CogniteFile and so on are all there, but nothing for tabular data. We have noted CogniteTimeSeries with type: state and CogniteStateSet, which covers state classification, but not the multi-column case.So:Is a

Hello Community,Has anyone used a UI connector to get multidimensional charts in a scatter graph form, to show distribution of data. ThanksMark

Hi Team,We are currently exploring migration of our existing content to use Flexible Data Modeling in CDF, and we are facing some challenges while configuring the OPC UA Extractor.At the moment, we are still pointing the extractor to the traditional Asset-Centric Time Series (dataset-based approach) and then transforming the data into our Data Model types afterward. However, we would like to ingest data directly into a view that implements the CogniteTimeSeries type.We would appreciate your guidance on the following: Do you have any example .yml configuration for the OPC UA Extractor that ingests data directly into a view implementing CogniteTimeSeries? Are there any best practices or recommended approaches for this setup? Is the following documentation the correct reference for this use case?https://docs.cognite.com/cdf/integration/guides/extraction/configuration/opcua#data-models Additionally, we are also evaluating OPC Events ingestion: Should OPC Events be modeled using Cognite

hi, I am taking up the course for data modelling and facing some issues for transformation.Have created an asset named Dutta2026 and while running transformation I receive the error below. Can somebody help me troubleshoot it please? I think it is some kind of access block. [ASSETS] Request with id a8ff7523-7c66-9300-82e5-37961456d56d to https://api.cognitedata.com/api/v1/projects/cdf-fundamentals/assets failed with status 403: Resource not found. This may also be due to insufficient access rights.

We are getting data from PLCs onto Kepware, then using the OPC UA Extractor to send that data to FTDM. Once the data is in FTDM, I have another application that consumes data from it. The issue is that we are getting an array of boolean values in Kepware. If we extract the array values, the number of tags becomes too high. Therefore, we are looking for ways to transform or encode the array into a singular timeseries. Our initial idea was to convert the array into a string, then converting it back to an array in our application. Another idea is to encode the array into a single large integer. But I can’t see any avenue of doing either of these in the extractor. Any ideas on how to do so?

Hi Team,We are working as a data platform team and there are multiple data product teams using our application. Each data product team has a different space to isolate their data. Is there a possibility to see the storage statistics restricted to space level? Clients also want to see “max number of concurrent requests”.

When opening the “Ask Assistant” the navigation bar disappears, this seems like a bug. I for one would like to have both at the same time. 

I’m getting the below error details when trying to access a new sandbox environment that has been setup.  What details do I need to share w/my team to unblock access?Your network administrator has blocked accessExternal access is blocked by policy. Contact your IT department for access. Troubleshooting detailsIf you contact your administrator, send this info to them.Copy info to clipboardRequest Id: f3b6e072-9289-427c-97e4-766a40af0700Correlation Id: e24e2dc7-9a3a-488c-92a3-fb333dc35281Timestamp: 2026-06-01T21:34:21ZMessage: AADSTS500021: Access to 'XXXXXXXX' tenant is denied. App name: Cognite Data FusionDevice platform: Windows 10Device state: UnregisteredIP address: 35.199.59.75Signed in as: XXXXXXXXXXFlag sign-in errors for review: Enable flaggingIf you plan on getting help for this problem, enable flagging and try to reproduce the error within 20 minutes. Flagged events make diagnostics available and are raised to admin attention.

Hi experts, In order to decide whether to use an aggregation strategy (or no aggregation at all), I need to know the number of data points between two timestamps without aggregation (server-side calculation). I’m looking for this code of call :client.time_series.data.count(external_id=<str>, start=<int | datetime>, end=<int | datetime>) -> intI'm trying to avoid having to perform a granularity calculation Thanks !Regards,Pierre

We have an issue in our production system that influence many users. We have a app using JavaScript SDK where requests to the Group API times out.  Can you please trace one of the request timing out: 492e1fee-234e-95eb-b371-8a11870708e8 

I have 4 views that implement CogniteAsset. When clicking on an instance and heading over to the properties tab, there are four properties there:Asset class Name Asset class Description Asset class External Id Asset class SpaceThese are visible for 3 of the 4 views. Looking at the propertyLayout, I did not see any reference to an asset class in a view where they are visible, and neither in a view where they are hidden. I’ve tried adding the following to the PropertyLayout section of views where they are visible in the UI:- property: assetClass  hidden: true But it did not help. What is the factor that determine whether these are visible or not? 

Access a table (likely RAW table / staging table) in Cognite Data Fusion (CDF) Call it from ThingWorx using REST APIs Possibly map the data into ThingWorx propertiesIn CDF, I have a staging table. How can I access this table’s properties in ThingWorx using a REST API.How to create Authorization Bearer CDF_ACCESS_TOKE.!--scriptorstartfragment-->Rest API URL: https://api.cognitedata.com/api/v1/projects/ptec-04/raw/dbs/RK-FTDM-DB/tables/RK-FTDM/rows/listhttps://ptec-04-datamosaix.fusion.cognite.com/ptec-04/raw?cluster=westeurope-1.cognitedata.com&workspace=data-fusion 

Hello, We have around ~10/15 CDF functions. We deploy these functions via cdfToolkit.We notice that deployment of new version of a function takes around ~10min in order for it to be fully available. In the worst case where we modify a common module used by all function, redeploying of all functions can reach ~30-40mins. During this time these functions are not available and results in a failure in the dependent high frequency workflows. We wonder if there is a way to accelerate deployment of new function versions. Thank you!  

Zendesk not working on MFA can you reset. The popup or the code doesn’t work in my MS auth app