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When doing the exercise “Valve mileage use case” of the Domain Expert training in CDF, this error appears (in Portuguese):It says:Competências necessáriasEntre em contato com seu administrador do CDF para solicitar as seguintes competências: timeSeriesAcl:WRITEIn English:Required SkillsContact your CDF administrator to request the following skills: timeSeriesAcl:WRITE Basically, someone should give me the timeSeriesAcl:WRITE permission. But who?
I have got a new phone and am not able to restore microsoft authenticator from the backup on it.Please reset the MFA Access so that I can set up the authenticator again.
I have Cognite Hub Account configured in Authenticator App on my phone since some time. Recently I have installed the Authenticator also on an iPad. The CogniteHub account appears on the list , however it wants me to log in. And I can’t remember the password. Is there a way to get the password from the Authenticator on my phone?
Lineage doesn’t work. You click on it and it shows for 1 second, before you get this screen. Multiple people gets the same error.
In Charts, when choosing a core data model as your source, Events are disabled preventing the choosing of core model “CogniteActivity” as “events” to overlay timeseries data from CogniteTimeSeries.Is this functionality on the roadmap and if so, when can we expect?
Hi Team,I'm using the Cognite Toolkit to test the CDF download raw functionality. I’ve observed that the download process fails when the staging database name contains a special character such as :.For example, if the database name is state:odbc, the cdf download raw command fails because it attempts to create a temporary folder with the same name as the staging database. Since : is not a valid character for directory names, the folder creation fails.Additionally, when I try to download the raw data from another database (without special characters), three files are created in the temporary directory:.Table.yamlManifest.yamlRawRows.ndjson.gzCould you please confirm if the RawRows.ndjson.gz file is expected, or should the output be in .csv format?
I am going through the course Match entity python sdk , there one notebook in section “How to succeeded with this task ” .But the link is not accessible . Please can some one guide in it. https://cc.sj-cdn.net/instructor/hhi6o3bc6ve-cognite-academy/assets/1688105749/Entity_matching_notebook_copy.ipynb?response-content-disposition=attachment&Expires=1763969235&Signature=dX1a9jxYTvcqFQ7jWIhNing8AxVk9r~60Tm4ZFWuvUK232AuM7mIg4StnYkk~MwaarbraKyfxE0O4BFm8VQbKFsEzgjeIDufqRvP5XEDH4X9aTC0XY5YR1l8iJeNmU2ebqWArryM8296eFNOVtPsNdIPOGWIaDz2xdqQ2rkncm4Zo-awiI7u~VFf~83tTN10ZiLuoTBqa2hurinAD5W3Igo4HlRQG109N9PVBkL7fO2ZeyjHhbRqBtxXrU8um0u6l4fcHJRb1CL9sWHEjouuK55CTf4iIK~057XQM9yx6ylK8FWD9EuT3ayDmgdwXx~FPhKPNpdBaxWIcKj3VrEERw__&Key-Pair-Id=APKAI3B7HFD2VYJQK4MQ
During the calculation of adding two time series, if one of them has no value, will the calculated timesseries give me some interpolated value?In the example below, the ‘Error Intern’ series has a value of 2252, but in ‘Total Down Time’ I’m getting 2756.64, which is incorrect—it should also be 2252.Why is it still giving me a linear interpolation value even though I selected the interpolation type as ‘step’?
Can we visualize Visio files with.vsd extension in Industrial canvas?
Is there a way to annotate 3D models towards instances from a data model. In the API documentation I only see linking to assets as an option.
We are using the cognite core data model and we extracted historian data which has been created as a bunch of time series. Now we have one asset that we would like to link these time series to. How do we do this?Please help, thanks.
Hi everyone! When importing data for a specific TAG, I notice multiple connecting lines or links between TAGs across the same P&ID. What steps can I take to minimize or reduce these connections?”
Is there a plan to support enumeration (or any way to restrict value of string properties) in the future?Enumerations are described here: https://graphql.org/learn/schema/, but seems like its currently not supported:
We are now planning to integrate a large amount of historical data. The context about historical data and our data organization is in this topic:We create an interface WellState, which contains 2 properties: WellId and Archived, in order to propagate the Archived flag to every object in our data models.After integrated large historical data in our development env, we found that DataFetchingException always occurred in Daily(550K lines) and Operation(2M lines) in using GraphQL. And if using cdf_nodes to load Daily and Operation, the transformation will be blocked util that your session is closed.Info: Daily has many relationships and Operation has only a relationship with Daily. But We have also other 3 objects like Operation(big dataset and a relationship with Daily), they can work well. GraphQL:query MyQuery { listOperation { edges { node { externalId space } } } listDaily { edges { node { externalId space } } }}the result is alwa
I am facing issue of jupyter notebook getting crashed frequently. It is observed for larger data and surprisingly ML model training on smallest data chunks as well.Sharing the image for reference.
Hello,We are querying the view WfAlarms (structure as given below) which has direct reference to alarmCode. When we are querying it for say 3+ months, we get the CogniteApiError, but works fine when it is 1month. This error is seen in our application deployed in production. We expect almost 2 million of records in this view. Can you help to understand what can be done to fix this issue ? Any configuration that needs to be changed. Let me know if you need any other details.1. Properties being queried from view - WfAlarms ErrorView:type WfAlarms @view(version: "2") @container(indexes: [{identifier : "entityName", fields : ["entityName"], cursorable : true}, {identifier : "entityExternalId", fields : ["entityExternalId"], cursorable : true}, {identifier : "alarmFlags", fields : ["alarmFlags"], cursorable : true}, {identifier : "entityType", fields : ["entityType"], cursorable : true}, {identifier : "alarmCode", fields : ["alarmCode"], cursorable : true}, {identifier : "startDateTime", fie
Can’t deselect tag when only 1 tag is selected. Pressing “Clear” will reset all filters and take me out of the menu. Markus PettersenAker BP - Data Platform Architect
Hi team,I am looking for a way to trace data lineage in CDF. For example, if we have a table in RAW that feeds another table through a Transformation, is there a straightforward way to see where that data is being used downstream?Basically, I want to understand how to track which tables, transformations, or data products depend on a particular RAW table. Any native feature or recommended approach for this in CDF?Thanks!
Hello,I’m using a Cognite MQTT Extractor.I wonder if it is possible to publish with this client to the same broker I am subscribed to.Furthermore, I would like to know if it is possible to develop callbacks in a similar way to Python clients, for example : https://pypi.org/project/paho-mqtt/#callbacks Regards,Pierre
Hi, I’m using the hosted REST extractor to populate a data model from an MES system. One of the API calls I need to make uses a URL parameter “id” to get data for production jobs by their id like: GET /scheduling/v1/jobs/{id}/operations . The production jobs are already in my data model and each has a unique id value.Is there a way to query the job ids from my data model within the hosted REST extractor so I can make a separate REST call for each job id? I was thinking the pagination feature would be the best approach, but I’m not sure how to query my data model from there to get a list of job ids to iterate through.Any insight is appreciated. Thanks!
Error when executed dbextractor.exe config.yml commandError when start the Cognite DB Extractor 3.9.0 Services
Below I have attached three screeshots where I query same data in same time range. I have used Queries in first screenshot, and it corresponds to original data inspected in Charts, i.e. there is no data before 4:01. This is very basic query using external id. However in many cases we need custome query where we use parametrised syntax. I have used a very basic syntax in the second screenshot that only use external id to query same timeseries as first screenshot. But the result is clearly different, there are datapoints created where there should be no data. Inspecting the datapoints in query, I see real data points with some values are created in no data area! Disabling aggregate resolve problem of creating non exiting data in third screenshot but then it query all datapoints and saturates in 2 seconds (reach max datapoints that grafana can show). So I need aggregated data and I have tried aggregate inside the syntax and same problem in scheenshot2 persists in this case. Any idea how
Hi Canvas Team - Do we have the ability to make a public canvas that has the ability for the owners to lock & unlock it (making it essentially read only)? Examples of this will include the ability to save a work package, turnaround package, reliability root-cause analysis, etx that others can see in the future however they can’t edit. The owners (people specifically shared) have the ability to unlock and edit it. Other scenarios are a read-only version of the canvas for other people that are not the owner.
We have outage on Cognite function deployments impacting both Development and UAT environment at PSaas cluster at ADNOC environment.Please refer the below url for the respective env.https://adnoc.fusion.cognite.com/sub-cgnt-panorama-dev/https://adnoc.fusion.cognite.com/sub-cgnt-panorama-uat/This is impacting on our development and UAT testing.kindly do needful asap.Thanks,Palaksha
Workflow to Connect Power BI to FT DataMosaixI am currently experiencing issues connecting Power BI to FT DataMosaix for the project ai200prodtesting-44-datamosaix. I would like to highlight that for the essc-sandbox-44 project, the connection works as expected, as shown in the evidence below.Below is the step-by-step procedure I followed to connect to the ai200prodtesting-44 project:Steps:1. Select Get Data > Cognite Data Fusion (REST API) connector.2. Set up CDF Project and CDF Organization.3. Choose Sign in as a different user.4. Enter user email address.5. Enter user password.6. Click Connect.7. Review the error message: Unable to connect. the message with the error "Unable to connect" attached.