Community Discussions

MQTT broker - Cognite DocsHi,I would like to understand how to use the MQTT broker hosted in Cognite. Could you please share any documentation, guidelines, or best practices on how to connect to it, publish/subscribe to topics, and integrate it within a data ingestion workflow?Any examples or recommended configurations would also be very helpful.Thanks in advance for your support.Best regards, Gerome

When creating transformation, the fields in the instructions are different than the module. Are these instructions outdated?

I come from a data analysis background, specifically working on anomaly detection in power plant equipment operations. I find Cognite to be a great learning platform.I would like to suggest whether it is possible to have a sandbox environment where we can practice using data and apply our own logic. Recently, I received communication from Cognite encouraging users to implement their own anomaly detection ideas, which is a great opportunity to learn and contribute.Having access to a sandbox setup with relevant data would allow us to build and test data models for anomaly detection. This would be beneficial for both learning and practical application, especially since the platform is closely aligned with real plant operations.

Hi Team,Our observation while storing duplicate entries in Cognite Streams:Mutable Streams - It discards the duplicate entries consistently.Immutable Streams - It sometimes allow exact duplicate entries (externalId and other fields) and sometimes it doesn’t.Even when we checked in the Cognite AI, it says it usually doesn’t allow duplicate entries but in some rare scenarios, it allows.Could you please let us know the behavior. If it allows in rare scenarios, please let us know the exact scenarios.Thanks,Rahul

Maybe this will be solved with the release of Adaptive Experiences, but for now the overview of the published apps is a bit cumbersome to navigate. Here is an example of an app, “Data Quality Dashboard”, that shows up twice, this is the same app but with different versions. The only way to tell from here is the updated timestamp. Would be nice with some kind of indicator showing which is the current version of the app, and maybe some kind of grouping that indicates that it is in fact the same app and not just two apps that happen to have the same name. The apps have a label that shows whether it is a “Flows app” or a “Streamlit app”, but these labels are not searchable, nor is there any functionality that allows for filtering. Would be nice if it was possible to add labels/tags to apps that were searchable allowing us to filter and group apps together. When we have 50+ apps it can be somewhat difficult to navigate.Markus PettersenAker BP - Data Platform Architecht

The documentation link takes me to a 404 page: 

The color in the status bar doesn’t match the legend: 

Help! I am currently facing an issue where the dataset data type is set as string = true, whereas it should be false (numeric). As a result, the chart is not displaying any data due to the field being treated as a string.However, when I download the dataset as a CSV file, the data is present. Could you advise if there is a quick fix on your side to convert the data type from string to numeric?  

I am currently facing an issue where the dataset data type is set as string = true, whereas it should be false (numeric). As a result, the chart is not displaying any data due to the field being treated as a string.However, when I download the dataset as a CSV file, the data is present. Could you advise if there is a quick fix on your side to convert the data type from string to numeric?  

I am currently facing an issue where the dataset data type is set as string = true, whereas it should be false (numeric). As a result, the chart is not displaying any data due to the field being treated as a string.However, when I download the dataset as a CSV file, the data is present. Could you advise if there is a quick fix on your side to convert the data type from string to numeric?  

How to get Early adopted for document parsing, i got 3 environments in the request - https: //cognite. zendesk. com/hc/requests/18058. please can someone make it available for us in those 3 environments ?xom-upstream-devxom-upstream-testxom-upstream

May our 3 projects have access to Document Parser as an Ealier adopter ?i have opened this request -  https: //cognite. zendesk. com/hc/requests/18058

Hi,We're using the Cognite DB extractor (version 3.9.2) with a MongoDB database (Azure Cosmos DB via the MongoDB API) and are trying to set up incremental loading.The documentation for mongodb (https://docs.cognite.com/cdf/integration/guides/extraction/configuration/db#databases.mongodb) doesn't mention the use of start_at and incremental_field but after testing them and looking at the debug logs, we can see the extractor sends the {start_at} placeholder literally without substituting the state value. My questions are:    1. Is start_at substitution supported at all for MongoDB JSON queries, or is it SQL-only?    2. If incremental loading is not supported for MongoDB, is there a recommended workaround?Thanks.

what are the typical use cases that Cognite AI can solve Integrated Supply Chain challenges?

I uploaded a PDF maintenance manual into Cognite CDF using:client.files.upload(...)The document is successfully indexed by the Documents Engine.I can confirm that:- client.documents.retrieve_content() works- client.documents.search() returns the document- last_indexed_time is populated- truncated_content contains extracted textExample document metadata:{  "id": 3652062792350259,  "external_id": "HACTL_CSS_Manual",  "name": "HACTL_CSS_Manual",  "title": "Hactl.md",  "mime_type": "application/pdf",  "last_indexed_time": "2026-05-06 14:57:28.531+00:00"}However, Atlas AI still responds with:“I could not find any uploaded maintenance manuals related to wheel carriage troubleshooting in the system.”Questions:1. Does Atlas AI automatically use Documents Search semantic indexing from files uploaded with client.files.upload(), or does it require CogniteFile instances + upload_content()?2. Is Atlas AI document retrieval based on:   - Documents semantic search   - passages/search   - or instanceI

How does asset hierarchy work in CDF?

For metadata on assets (and other object types) in the app UI, the text is capped even though there is a lot of white space. Inconvenient when viewing it on a big screen and expecting to be able to see the whole string.    

Hi, I am struggling trying to find my the description field is empty "-" for my assets (in Data Management > Data explorer > Assets. Looking for the problem I verified the followingsuccessfully imported data into RAW (seen under Data Management > Integrate > Staging)     successfully ran transformations on the RAW table and populated CogniteAssets (seen under Data Management > Data models > Data Management > CogniteAsset)    Any advice would be helpful? 

I follow the Docments for binding files in CDF(client.files.upload_content)After uploading, AtlasAI is indeed able to use the content.However, this file seems to be a chunked TXT document generated from the customer document. I believe this TXT file should follow a certain structure, but I could not find any documentation describing the expected text content structure in the help docs.Is this an industry-standard format, or is the file_content structure arbitrary?It seems that the completeness and quality of the chunk file directly determine the upper limit of AtlasAI’s intelligence and response quality. 

When we’ve tried to update to python sdk v8 we get a 400 validation issue when we try to create a container.We’re currently using v7.92.0, where we have no problems. We’ve tested versions v8.0.7 and v8.2.0.client.config.api_subversion is ‘20230101’ for both 7.92.0 and 8.2.0.Here is an example of a request that fails with: Unexpected field - items[0].properties..constraintState.constraintState seems to be a new property for v8 of the api.ContainerApply( space="Space", external_id="Comp", name="Comp", used_for="node", properties={ "manufacturer_name": ContainerProperty( type=Text(), nullable=True, ) })I notice also that the CDF Jupyter notebook in browser is still on v7.92.0. Is there potentially any other issues preventing an upgrade to v8? Best RegardsDaniel Rasmussen

With Tableau 2026.x introduced the native REST API connector, I wanted to check if anyone has explored using it to connect Cognite Data Fusion (CDF) APIs.Has anyone successfully connected CDF data via the Tableau REST API connector, or evaluated this approach?Any insights, limitations, or best practices would be greatly appreciated. Thanks in advance!

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

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. 

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