Unanswered questions

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Description / Problem StatementWe are using the Cognite 3D File Extractor to migrate 3D model files from an on-premises Windows VM to Cognite Data Fusion (CDF).The majority of 3D files are ingested successfully with multiple sizes mostly > 10 GB. However, four specific files consistently fail ingestion, even after multiple retries.Key observations:All failing files are close to 5 GB in size Example sizes (as shown in Windows Explorer): 4.99 GB 4.94 GB 4.91 GB When checked via terminal/command line, these same files report a larger actual size (~5.3 GB) It appears that based on the Windows VM file size, the 3D extractor determines it should use a single-part upload. However, when it attempts to upload the actual file, the process fails because the size exceeds 5 GB      

Following the training instructions(Date Engineer - Hands-on: Setting up the Equipment Container for RMDM), I installed cognite-toolkit==0.6.87. However, the training repository is pinned to:[modules]version = "0.6.19"This causes cdf build to fail with:"The version of the modules (0.6.19) does not match the version of the installed CLI (0.6.87)"The repo notes that the modules version should not be changed manually, so we're forced to downgrade the Toolkit, but this is not mentioned in the training material.

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 community,I’m learning to use the /models/instances/query endpoint (with Open Industrial Data, public project) and experiencing some confusion about how cursors and pagination work.{    "with": {        "cities": {            "nodes": {                "filter": {                    "and": [                        {                            "exists": {                                "property": [                                    "Geography",                                    "City",                                    "name"                                ]                            }                        }                    ]                }            }        },        "continents": {            "nodes": {                "filter": {                    "and": [                        {                            "exists": {                                "property": [                                    "Geography",                                    "Continent",           

Hi All,I’m unable to access Data Engineer Basics – Integrations and I’m getting the error shown below.Could someone please help me with this?Thanks!  

We’ve setup an MQTT Hosted Extractor that is recieving a SparkPlug B payload which some times contains a couple of null values, this values cannot be removed from the SparkPlug B payload. We believe that whenever the message contains null values the transformation for the datapoints fails.No more information is provided on the Transform Error, only the “Failed to transform data: Missing required field value”, could the null values just be ignored so the other values be inserted in the time series? We’re getting several empty time series that were created via the hosted extractor.

Is there an alert or notification that can be configured when the MQTT hosted extractor is down? Been having issues with  Request to CDF failed with error Error in middleware: Failed to authenticate request  This error is resolved by creating a new sink, however we don’t get a notification of any kind when the extractor is down. 

I’m working with the PI AF Extractor and facing an issue with Table Lookup attributes.The Table Lookup attribute itself is being extracted correctly into the attributes table, but the value column always comes as “no data”, even though the attribute resolves normally inside PI System Explorer.I would like to know whether there is any supported way to extract the evaluated Table Lookup value using the PI AF Extractor, or if the extractor does not currently resolve Table Lookup references during extraction.Has anyone faced this issue or found a recommended approach to retrieve these values through the extractor?

Just recently, when viewing point cloud data on CDF, it feels like the rendering has become faster and displays more smoothly and beautifully. I don’t recall seeing this mentioned in the Q4 release notes—was this improvement made in the background? If so, it’s a very welcome enhancement from a user’s perspective.

What are the licensing terms and conditions for using Cognite's Open Industrial Data? Could you please provide a link to these terms and conditions?Thank you.