Product User Community

The Ghost mode in the red box doesn’t effect

Weird formatting of labels in Extraction Pipelines web app interface. Flowing beyond it’s container making it not fit on the page. 

The data grid object has some issues when changing the grid like removing a row or adding a column etc. The attached video shows the behavior. A browser refresh clears up the “jitter” but changes do not take effect.

Hello,I lost the account in the authenticator app while not changing phones. How do I get this back?Thank you in advance,Regards.

Hi, I am on Data Scientist Learn training. I´m getting the 404 Not Found error whenever I try to make a GET request for publicdata project. That´s the URL I´m trying to use{{baseurl}}/api/v1/projects/{{project}}/assets I also replaced {{project}} with ‘publicdata’ with same result.

Hi,I use “Relationship labels” to contextualize related timeseries, events, sequences from other CDF datasets.In the example below you can see the asset called “A-03” which has 157 related timeseries. However, only approx. 30 out 157 labels belong to the asset “A-03”, the rest 127 labels belong to the children (L1, L2, L3 ...). I don’t want the children’s labels to belong to the parent asset (A-03), I want the parrent asset (A-03) only having its own 30 “Relationshop labels”.is it possible to do?

Working with file extractor for sharepoint files givers you and option to set recursive mode on/off which does not recurse over subfolders (when set to false) according to your needs.But when i set that option for simple files, it does not works, also the documentation does not mention the keyword recurvisive for files.It wpuld be great the file extractor also has the recursive keyword so you dont need to have specific filders for files to upload. thank you sw  

When adding a file to an existing canvas from search, the file can not be resized in canvas, but when added via "add data" button is allows resize without issue.

Hi Cognite team,I understand that Atlas AI is not available in the PublicData project and is primarily for enterprise tenants.I’d like to explore whether there is any possibility of getting sandbox access, a developer trial, or demo environment where I can experiment with Atlas AI using example data.Could you please let me know if there are options for developers or small teams to try Atlas AI in a non-enterprise context?Thanks a lot!

Hi Everyone,I'm part of the performance team, and I want to learn more about transformation.My main goals are:To understand the basic way it works. To see how each step interacts with different parts, so I can troubleshoot problems better. To find out what kinds of scenarios are commonly used with customers. To know which metrics we are currently monitoring in Grafana to check for issues like server errors (5xx), high CPU usage, or memory problems. To learn where I can see live logs. To understand which customer is the biggest right now and what’s the largest amount of data used for transformation so far.

The external id of some time series contains special characters. Should they contain special characters, no, but that is not the issue here. As long as CDF allows special characters in their ID’s it should also have support for them in the rest of the system. When you press the copy button in Fusion you don’t get the special characters, and without those characters the ID is invalid and cannot be used. Hence the copy button does not actually copy the external ID, it alters it and that is an issue.# The actual external IDLIMS_Skarv_Analysis 9-ion analysis_SP 44-AP-0027 - DS - 2. STG\xa0SEP_Param Sulphate, SO42-_Unit mg/l# Copied from Fusion UILIMS_Skarv_Analysis 9-ion analysis_SP 44-AP-0027 - DS - 2. STG SEP_Param Sulphate, SO42-_Unit mg/lThe fact that the external ids contain these characters to begin with is a different issue we are looking into.

“I’m using cognite/opcua-extractor-net as container.Is there a docker image version for linux/arm64 platform available ? (not present on docker hub)”

Hello,I am using OPC UA extractor to bring in sensor data in my cdf project. I want to limit the number of tags I am bring in from the source. I observed that in the PI extractor there is capability to include or exclude tags. Is there a similar filtering capability in OPC UA Extractor?

Hi everyone!Are you aware that you can configure default columns per category, and what filters and properties to display per category in search? Per-project search configuration for categories became available in open beta as part of our June release! 🛠️ End-users want to see the data that's most important to them, presented in a way that makes sense instantly. While project Admins have been able to control which data they see using location filters, the ability to configure how that data appears hasn't been possible – until now. This new search configuration capability directly addresses that pain point, empowering the project Admin to curate the search experience, transforming data discovery from a "needle in a haystack" problem into an intuitive and efficient experience.How can you test it out?  Ensure you have the right access capabilities (appconfig:read, appconfig:write, app-scope = Search) for this project Admin feature! Navigate to the Admin workspace > Project settings 

If I want to establish a relationship between a specific data model (not the core or enterprise model) and assets like a "function location," Do I  necessarily need to bring all the views from the core or enterprise models into your domain data model?The goal is not to extend the core model but to create a reference from my domain data model to the asset, possibly using node_reference.For instance, if I have an inventory and want to relate materials to a local storage (which is represented as an asset in the enterprise data model), could I define a property in my domain model that references the enterprise asset.Example:graphqltype StorageLocation { location: String plant: CogniteAsset # Reference to the asset in the enterprise model } In this case, I am just creating a link between my domain model and the asset without needing to extend the enterprise model or bring its full view into my domain model , works? 

Hi all,I am building a solution model on top of  a domain model we already have in place for a project.The domain model contains all the instances we have in the project, but this consumer is only interested in a subset and would like some filters in place to ensure that they are only getting the subset of interest. One of the requirements is that a certain property is according to their project standards and has a minimum length for a property. I see that there is a Range filter to check if a numeric property’s value is within a specified range, but is there any way I can add functionality to get the values length for this property?

 I have created 1 workflow , in which I am creating dynamic tasks depending on input, it creates batch of ids and create tasks out of it. Below is workflow definitionWorkflowVersionUpsert(   workflow_external_id="test_dynamic-0729",   version="1",   workflow_definition=WorkflowDefinitionUpsert(       description="This workflow has two steps",       tasks=[           WorkflowTask(                external_id="test_sub_tasks",                parameters=FunctionTaskParameters(                    external_id="test_sub_tasks",                    data="${workflow.input}"                ),                retries=1,                timeout=3600,                depends_on=[],                on_failure = "abortWorkflow",            ),           WorkflowTask(                external_id="test_create_sub",                parameters=DynamicTaskParameters(                    tasks="${test_sub_tasks.output.response.tasks}"                ),                name="Dynamic Task",                description=

I’m using n8n AI agent builder to query CDF via an http request. The body of the request is:The request URL is https://westeurope-1.cognitedata.com/api/v1/projects/essc-sandbox-44/events{ "filter": { "startTime": { "min": 1751070336000, "max": 1751588736000 }, "dataSetIds": [7726848970162689] }, "limit": 1000}CDF seems to recognize the datasetid filter but not other filters like starttime as shown or others like Types. The result set returned is all events in that datasetid.I’ve also tried minstarttime and maxstarttime.ideas?  

Hi All,We are encountering an issue after uploading E57 point cloud files into Cognite Data Fusion (CDF). The rendering quality of the images is quite poor, and we're unsure if we're making a mistake during the upload process.Has anyone else experienced similar issues? If so, do you have any solutions or recommendations to improve the image quality for point cloud in CDF?Please feel free to share your insights and suggestions.Thank you!

hello guys, I wonder how do you populate data model directly from the dataset? so i have ingested all my timeseries data into my dataset and then i want to run transformations using this dataset as a source but how do i get the actual values from the data points and can you filter just to extract certain timeseries data? this is the query i am running at the moment: select  cast(`externalId` as STRING) as externalId,  cast(`name` as STRING) as name,  cast(`description` as STRING) as descriptionfrom  `_cdf`.`timeseries`; what i want really is to import all my timeseries data from my dataset into my data model and then continue building. 

I have a question about contextualization.In my setup, I have a functional location with a machine, and under the machine, there's a sub-station. When I contextualize a document related to the sub-station, why isn't it directly linked to the machine level and the functional location? I understand that I manually contextualize it to the specific station, but since the station is part of the machine and the functional location, it should appear there too.I think there's a missing link in my data modeling between the functional location, machine, and sub-station. What methods can I use to ensure that when I contextualize a document, it shows up at all levels of the hierarchy linked to that machine?

Hey everyone! 👋 I've been diving into the world of CDF data modeling for the past couple of weeks, and I thought I'd share what I've learned so far in a way that's easy to understand. First off, let's talk about the term "Data Modeling." It's everywhere in CDF - in API endpoints, UI, docs - but its meaning can vary depending on where you look. After some digging, I've figured out what it means specifically in CDF. Essentially, it's about organizing, storing, and working with data in a way that's perfect for handling complex industrial scenarios. Think of it as the foundation for unleashing the power of Cognite Data Fusion on your industrial data. So, what exactly makes up a Data Model in CDF? Let's break it down: Space: Think of it like a folder where everything in a Data Model hangs out. Containers, views, instances - they all belong to a Space and have their own unique ID. Containers: These are like the storage units for properties. They live within a space and hold sets of proper

SUMMARY Committed to elevating our service and support standards, we continually evaluate and refine our processes to improve the exchange of information between end-users and the Cognite support team. We have identified that including additional information upfront in the support tickets raised can greatly streamline our response process, allowing for quicker and more efficient issue resolution. To facilitate this, we have pinpointed essential details that, when provided in tickets, can significantly accelerate resolution times.We are dedicated to continuous improvement in these areas and greatly value your feedback.  There is basic information that will be helpful for troubleshooting Have you encountered this issue before, or is this the first time you have experienced it? To better understand the impact, please let us know the number of affected users. What is the project name? The following questions will be added based on the product: SUMMARY Charts Questions  Functions Questions

Hi,I would like to update data to the EDR. The EDR has a build in tool to upload data, but I would like to use the API. As I understand it is not officially supported, but we would like to give it a try as we have hunderds of files we would like to upload.Before I asked my questions by e-mail, but I am directed to this hub to ask my questions, so there we go: File upload:I'm using the client.files.upload() function [1]. It seems to work when only the file path is provided, but I'm unsure whether this is sufficient or if I should be populating more of the optional arguments. Here's what I'm looking at: path external_id name source mime_type metadata directory asset_ids source_created_time source_modified_time data_set_id labels geo_location security_categories recursive overwrite  name: It appears this is automatically assigned based on the filename, is that okay?directory: This seems to default to the dataset ID, but I’ve run into an error when using 968ca

Whose idea was it to hide the dropdown behind the filters?