Community Discussions

Is there a limit on the number of characters for String data that can be stored in a Timeseries?I would like to manage a JSON file that defines the configuration values of a certain system in CDF. Since the JSON file will be changed frequently and I also want to check the historical configuration records, I am considering defining it as a string timeseries and storing the JSON string in data point.However, if there is a character limit, it would restrict the size of the JSON string that can be stored, so I would like to confirm the specifications. As far as I have searched, there is no mention of this in the documentation.

Hello people,I’m testing CDM and I want to extend a current model type, I may do it wrong, but my idea is. I’m creating a new type called MyModel, that will be pretty much and CogniteActivity + new fields.But I don’t know what I’m doing wrong.type MyModel @import ( dataModel: { externalId: "CogniteActivity", space: "cdf_cdm", version: "v1" } ){ FieldA: String, FieldB: String}I got some guidance from this link https://docs.cognite.com/cdf/dm/dm_guides/dm_extending_core_data_modelWhen I try to save, I got this error{   "title": "Error: could not update data model",   "message": "An error has occured. Data model was not published.",   "extra": "[Line: 40] Data model 'DataModelRef(space=cdf_cdm, externalId=CogniteActivity, version=v1)' cannot be found" }Thanks in advance

On behalf of CelaneseHi.I would like to report a potential issue with cursor-based pagination when sorting in descending order and request clarification on the undocumented forceCursorsDespitePerformanceHazard flag.We are executing a query against the view OEEEvent, which is defined with a cursorable BTREE index on the startDateTime property, as shown in the simplified schema below: type OEEEvent@container(  indexes: [    {      fields: ["startDateTime"]      identifier: "idx_oeev_startDateTime"      indexType: BTREE      cursorable: true    }  ]) {  startDateTime: Timestamp  endDateTime: Timestamp  totalDuration: Float} We are querying with the following time range filter: "startDateTime": {  "gte": "2024-12-31T00:00:00.000-03:00",  "lt":  "2025-05-01T00:00:00.000-03:00"} The result set includes 840 records.When applying a page size of 500 and using the following ascending sort configuration: {  "property": [    "INO-COR-ALL-DML",    "OEEEvent/472bdbcb9cd6f1",    "startDateTime"  ], 

Hi, I have moved to a new handset and require an MFA reset, is someone able to help please? Thank you!

Hi,Will there be any major changes to the API and Python SDK when moving from an asset centric data model to a flexible data model? Do we have to expect to refactor our backend using the current python sdk once the flexible data model is operationalized?Best regards,Vetle.

I am able to Delete data using python code using Primary key of the table in CDF staging/RAW. But I need help with deleting data based on where condition for columns other than primary key. I am following the below documentation for deleting based on primary key. Data Ingestion — cognite-sdk 7.74.5 documentation  Delete rows from table:>>> from cognite.client import CogniteClient>>> client = CogniteClient()>>> keys_to_delete = ["k1", "k2", "k3"]>>> client.raw.rows.delete("db1", "table1", keys_to_delete)

I’m trying to update the is_string value of Time Series from false to true using CDF python class ognite.client.data_classes.time_series.TimeSeriesUpdate. But I’m unable to update it. The value in CDF remains false even though I updated it. Is this an expected behavior of Time Series Update?

Hi,I have set up a monitoring job to generate alerts for specific time-series. Although, it is not clear to me where these alerts are being stored as I can’t find them anywhere in Data Explorer. The documentation (https://docs.cognite.com/cdf/charts/) also doesn’t provide details about it.Can someone share more details about how the alerts are stored and if it’s possible to access them outside Charts? 

Hello,I notice from the Events API documentation that the start_time can be specified by a TimestampRange object. However, the documentation does not explain what this object is, whether it is a class external to the Cognite SDK, or give any examples on how to use it.Can someone give more information?-Anders

Hi,When deploying functions through the OIDC pipeline with github actions, it fails on pre-commit:As I understand, this change has not been communicated clearly enough. Looks like the actions/cache package needs an update. Will the OICD github repo be updated? I know that the CDF toolkit may be the preferred way (we are migrating over to that shortly), but in the meantime we need this pipeline up and running. As I am not experienced in building packages, can someone guide me in the right directions regarding updating the package? Looks like the workflows needs to be updated to version 4 for the actions/cache to be supported again

Since yesterday, I've noticed that deploying functions via the Cognite SDK is failing. Our strategy involves uploading a zip file of the function and then creating the function. While the file uploads successfully, the function creation process returns a "Gateway Timeout" error. I've tried deploying both locally and through the Azure Pipeline, but the error persists. Initially, I thought it might be a temporary instability, but the issue continues this morning. Cognite API error 

Hello Team,I have a modeling question.We want to add some well information to all object types in our knowledge graph. At the same time, we don't want to create a link from the objects to the well.So, to avoid data duplication and updating these pieces of information, I thought about using the mapping functionality.For example, I have a casing object with two attributes: name and diameter. And I added a name_well attribute using the mapping functionality, which, as I understand, under the hood, performs a join.type Well { name: String}type Casing { name: String name_well: String @mapping(container: "Well", property: "name") diameter: Float32}Well transformation:select wh.IDWELL as externalId, wh.WELLNAME as namefrom well-data as whCasing transformationselect cas.IDCASING AS externalId, cas.NAME AS name, cas.DIAMETER as diameter, wh.WELLNAME as name_wellfrom casing-data as cas join well-data as wh on cas.IDWELL == cas.IDWELLWhat I don’t understand is how exactly this join i

Hi, I have been trying to use the sync API to try and pull changes from a data model - specifically node instances from a view. When testing, some fields within a view was changed / updated but I was not able to pull anything new using the sync API. This was after I created a baseline of the full dataset using the Query endpoint.The sync endpoint did work when new nodes were added to the view, it would only pull the new row, so I think my query is correct. Is there some sort of parameter to turn on / other way to use the sync API to retrieve changes and new additions to instances?

Hello, we are facing an SSL issue while trying to connect to cognite even if we’re disabling SSL verification.Could you please help ?from cognite.client import ClientConfig, CogniteClientfrom cognite.client.credentials import OAuthClientCredentialsfrom cognite.client.config import global_configglobal_config.disable_ssl = Truecreds = OAuthClientCredentials( **{ "client_id": "", "client_secret": "", "token_url": "", "scopes": ["https://westeurope-1.cognitedata.com/.default"], } )def get_cognite_client(project: str) -> CogniteClient: return CogniteClient( ClientConfig( client_name="Python-jupyter", project=project, credentials=creds, base_url="https://westeurope-1.cognitedata.com", ) )client = get_cognite_client("totalenergies-sandbox")res = client.units.list().to_pandas()------------------------------------------------------------------------------------

What is the maximum numbers of the rows supported in cognite staging tables

Hello, We have been trying to download this package (spgci) using Jupyter in CDF but are getting the following error: Based on this documentation, it seems like its not possible to do so. Could you please advise if there is a solution for this issue? 

I have created one dataset but not showing in Restrict access to the transformation dropdown

can someone please explain the this procedure for me with details ? because I got really confused. so first we register an app  and create a client secret and add api read all permission n Microsoft azure, after that we create an app in SharePoint  and we add the “permission request” to it later. after that what is next before downloading the extractor ? how are the two apps linked ? I saw someone at my work using Microsoft graph to link them but did not understand the logic behind it. and if this how they are linked , how ?  when in the Microsoft when doing the post each app dose not mention the other  

Hi,I have a view called "Entity" in an existing model with mandatory properties "name", "description" and "isVirtual".Now, I have a new version of "Entity" in which I have decided to implement CogniteDescribable from CDM for name and description, where these fields are not mandatory.When I try to ingest data into the new version of this view, it gives me a non-writable error since the mandatory properties that I had created for the older version is not getting populated.Is there any way to overcome this?Can I map the mandatory container to the container used in CogniteDescribable, so that when I ingest data in the new version, it automatically ingests the mandatory container as well?If yes, can you please share a YAML example of the same to be deployed through toolkit?Please note that both the mandatory and non-mandatory containers have the same name "name".

Greetings. I wanted to reach out in this Document Parser [Early Adopter] group to request access to the Document Parser Tool in our Project. I was hoping to test the tool for a business use case. Additionally, the documentation explains using the Document Parser on data ingested in the DMS. Will this tool also be available for data ingested in an asset-centric model? Thanks,Gabriel

I am starting the Cognite Data Engineer Learning Path. How to get the access to Cognite Data Fusion platform to practice the learning.

Hello experts,We want to achieve the following workflow:Once a new instance is created/added in our datamodel container Another workflow must be triggered immediately We do not want to create a scheduled based polling to invoke our workflow since our workflow is time sensitive and high importanceCould you please let us know if CDF supports this functionality? Or suggest a way to achieve it.I have explored the CDF in my limited knowledge, I found that subscription is available on Data Model, but it is not enabled in our environment.Could you please help me in this.Thanks,Pranjul Singh  ​​​​​​​    

Reporting as requested. The system seems very unresponsive SQL Transformations internal error. Please report this error to Cognite. Query job ID: a3b2004a-0b5f-4e43-82bd-c396c3bf1a7d | code: 400 | X-Request-ID: 2dd10804-d4c6-9cce-b35c-a1b8af8574c1

When retrieving time-series data registered in CDF using the SDK, I use the following code.client.time_series.search(name="some name")In this case, if I want to take 100 time series, I would need to run the above code 100 times, but is there any SDK that allows me to retrieve this in a list format or something similar?

I'm using python sdk and wanted to query instances based on a condition using “data_modeling.instances.query” method. i have a view “TimeseriesProperty” and it has a direct relation/reference to "TimeseriesPropertyType" view. Is it possible to have a distinct filter on the result, because multiple “TimeseriesProperty” instances can have the same "TimeseriesPropertyType"  instances , we don't want duplicated "TimeseriesPropertyType"  instances coming in response for below query: view_id= ViewId(space="slb-pdm-dm-governed", external_id="TimeseriesProperty",version="2_0")v_id_2_PROP = ViewId(space="slb-pdm-dm-governed", external_id="TimeseriesPropertyType",version="2_0")query= Query( with_= { "TimeseriesProperty":NodeResultSetExpression( limit=10, filter= HasData(views=[view_id])), "TimeseriesPropertyType":NodeResultSetExpression( limit=10000, direction="outwards",