Community Discussions

Monitoring in ChartsHello early adopters! It has been a bit quiet on this group as we have been working on a new monitoring solution in CDF and i can now say that after a lot of hard work monitoring in charts in now available on select clusters in CDF namely az-eastus-1, westeurope-1 and europe-west1-1 (Coming soon).Features:Alerting and Monitoring is a central element in a DataOps platform. This allows users to proactively discover issues with equipment, systems and processes.Cognite Data Fusion provides the ability to monitor data as a core capability. It gives users an easy way to set up monitoring jobs and perform further analysis through Charts and other components within CDF.We have the following features available now:Ability to set up a monitoring job on a time series within Charts Upper and lower threshold capabilities out of the box Get notified through CDF UI and emails Filter and manage monitoring jobs within the charts Filter and resolve relevant alerts Stable and scalable

Hello team,When we try to get the timeseries data points in FDM using GraphQL, we get only 10 data points in the response.No cursor is provided so that we can try to retrieve the further data points.Details of the model:project: slb-pdfmodel: Avocet test data model with timeseries Please let us know how we can retrieve all the data points.

Hi,I am trying to run transformations-cli locally with below command:transformations-cli deploy . (The current directory has manifest.yaml and transformation.sql files) I am getting below error:Deploying transformations...Failed to parse transformation config, please check that you conform required fields and format: Invalid config: can not match type "dict" to any type of "destination" union: typing.Union[cognite.transformations_cli.commands.deploy.transformation_types.DestinationType, cognite.transformations_cli.commands.deploy.transformation_types.DestinationConfig, cognite.transformations_cli.commands.deploy.transformation_types.RawDestinationConfig, cognite.transformations_cli.commands.deploy.transformation_types.SequenceRowsDestinationConfig, cognite.transformations_cli.commands.deploy.transformation_types.AlphaDMIDestinationConfig] Here is destination section of manifest file:destination:  viewSpaceExternalId: my-model-space-id  viewExternalId: CDFTimeSeries  viewVersion: 0_2  i

I have also added limit parameter in sql query...some how limit parameter was not getting recognized

type Employee {name: String!department: Department!}type Department {name: String!}I can't model a use case where an employee must belong to a department.

Cognite can automatically Build and Restructuring the asset Hierarchy to standardize the asset model across multiple manufacturing sites by using industry global standards.? Cognite can define the templates for asset attributes based on the technical object type as per industry global standards.?    (Build - from capital projects to build asset hierarchy & Restructuring - Define the level of asset hierarchy as per requirement.)  

Hi all, I am trying to create a transformation for my FDM below: When I create a new transformation or edit target of an existing transformation for the type: VT_TARGET & VT_TOTAL the screen gets stuck on saving and then throws a 500 error.   The type ‘WELL’ has no issues. the error crops up for the VT_TARGET & VT_TOTALS type. 

Hi TeamI am working on cognite  Functions and  we have 3 cognite instances now,Tiger-trainingDemo-devdemo-prodI have created the pipeline such a way that it is built and deployed with the single run and it is pointing to either of the instance based on the credentials provided in azure.pipeline.yaml file.functions-deploy-azure-pipelines/azure-pipelines.yaml at main · cognitedata/functions-deploy-azure-pipelines · GitHub I am using the same pipeline file which is mentioned in the above linkSo now my requirement is to build a separate build pipeline  that will build our cognite functions code, it builds and zips theCognite functions and create separate release pipeline for  and Deploy the zipped functions code to 3 different instances independently.Please help me on this as it is a show stopper for us, please set up a call anytime before 9 pm today and after 10.30 am tomorrow. Regards,Nidhi N G

Dear Cognite Hub Members,We are pleased to announce the alpha release of the Cognite SAP Extractor! This extractor retrieves data from SAP ERP or SAP S/4HANA and sends it to CDF Raw through OData protocol.Please note that this is an alpha version, which means it is not ready for production use. We are releasing this alpha to the Cognite Hub community for feedback and testing. Your feedback is valuable in shaping the future of this extractor, so we encourage you to give it a try and let us know what you think.To get started, you can download the SAP Extractor from the “Extract Data” page directly from CDF. Please see the documentation for installation and configuration instructions on the “Cognite SAP Extractor (Alpha)” page under “Extract Data”.    We would appreciate any feedback you have, including bug reports, feature requests and general feedback. Please post your feedback and questions in the “Data Ingestion [Early Adopter]” category in Cognite Hub.Note that we are actively workin

This guide will take you through the steps of setting up a data streaming job on the MQTT ingestion service using the Pluto API.We will throughout the guide provide paths and bodies for the HTTP requests you will make, but we also have an OpenAPI spec you can download and import to your tool of choice (for example Postman) to ease writing these requests. Core conceptsThere are three main object types when using the Pluto service: A source, which models a source of data outside of CDF. This will represent your MQTT broker. The source holds data such as the hostname (or adress) of your broker, credentials for authentication, etc. A destination, which tells Pluto where to put the data output - for example CDF events or data points in a CDF time series. The destination also holds the credentials used when writing to CDF, which is going to be a CDF authentication session (more on that later). A job, which describes the actual job for Pluto to do. It links a source to a destination. It t

Hello team, I am trying to use the list projects api ({{baseUrl}}/api/v1/projects) to get the list of available projects.However, I can see only one project in the response.If I check through the UI, I can see and access 5 projects in the same region.Can you please help?

Cognite RevealWe are being told that our models need to be downsampled which is resulting in better performance in CDF but poor quality on the viewer. We have consistently noticed that we are unable to have one large point cloud together in the viewer and also the viewing quality is very poor compared to what laser scanning vendor solutions show. I need some attention on this from Product?Why should we downsample and decrease the density of the Point Cloud? does not appear to be the right thing to doWhy should we chop up the 3D model in pieces?

 Just going to post the full warning. Is this something that is wrong with my installation (I updated the SDK a month or so ago)? Or something that is on the SDK side of a to be implemented feature? I’m curious because it says that this is causing the data fetching to run much slower than it can. ~\Anaconda3\lib\site-packages\cognite\client\_api\datapoints.py:755: UserWarning: Your installation of 'protobuf' is missing compiled C binaries, and will run in pure-python mode, which causes datapoints fetching to be ~5x slower. To verify, set the environment variable `PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp` before running (this will cause the code to fail). The easiest fix is probably to pin your 'protobuf' dependency to major version 4 (or higher), see: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates

Hi  I am looking for information on the CDF clusters currently available world wide in Azure and possibly GCP or other clouds. I’d like to book mark the link, that’ll help design our deployment models. Appreciate if you can share the info. RegardsAlex 

One or more employees must belong to a department and each employee instance is non nullable. Below type is accepted through UI in CDF. type Department {name: String!,employees: [Employee!]!}2. Zero or more employees can belong to a department and it can be a null object or an employee instance. Below type is accepted through UI in CDF.type Department {name: String!,employees: [Employee]}3. Zero or more employees can belong to a department and it has to be a non null employee instance. Below type isn't accepted through UI in CDF.type Department {name: String!,employees: [Employee!]}I am trying to enforce field nullability use case as suggested here - https://www.apollographql.com/docs/apollo-server/schema/schema/#field-nullabilityBelow example may make my above question more meaningful in the CDF FDM context.type Department {name: String!,employees: [String!]} How can I ensure that the list of strings are non-nulls? Also, Would Strings be stored in a separate node and connected thro

We’ve made a design prototype for the planned alpha version of a MQTT solution. This is only the first iteration of design and is not fully developed yet, but we hope you can give us feedback on the design and presented functionalities. This way we get to know what works and what doesn’t.Please have a look at the video of the prototype and give us your thoughts. Any questions and / or feedback is welcome!(This is an internal preview. Please don’t share it outside this community.) If you’re interested in giving feedback in person or testing out the prototype yourself, feel free to contact us through this post to set up a quick chat. It can be about what you think of the feature, what you would like to improve, if you’d like to test out the UI yourself, etc. We hope to hear from you!

I’m trying to Create a new Numeric DataPoint transformation and when I created a new transformation the UI shows a question on how it should handle NULL values (keep existing value or deleting).I’ve setup my query with a CAST function to convert values to double. I understand that this will return NULL values when CAST is not possible, so I would expect the transformation to follow the settings defined for the transformation, but instead the transformation fails with the following message:Column 'value' was expected to have type Double, but NULL was found Can you please clarify what is the expectation regarding the Numeric DataPoint Transformation. Can it have NULL values as input or not and what is the settings for NULL values about?Thanks

Hi,This is regarding creating of bounding box on PDF fileAssume we can get bounding box details from another source.And that is for whole string 18"-1S6(10S)-471454, using that need create bounding box for 471454. To find the differences we manually created the two bounding box Below are the bounding box details also attached the  screenshot.#smaller bounding box"textRegion": { "xMax": 0.12297021616798368, "xMin": 0.10935503986439225, "yMax": 0.6030244780685147, "yMin": 0.5957594432410297 } Bigger bounding box we got from XML#bigger bounding box"textRegion": { "xMax": 0.1245098493906997, "xMin": 0.0782598493906997, "yMax": 0.6047371474808384, "yMin": 0.5915995895210239 } So we can observe if we can reduce only xmin and we create  bounding box for 471454 and keep all other values same.As we have to do this for lots of places in PDF, can we get any

Hi Team,  I am trying to use uniqueness constraint in model using Cognite UI - type EntityNew @container(indexes: [{identifier : "entityTypeIndex", fields : ["id"]}], constraints : [{identifier:"id",constraintType:UNIQUENESS,fields:["id"]}]){  id: String!  name: String!  dept: Department} type Department{  name: String}I am getting error - invalid: 400 Bad Request. Text: "{ "error": { "code": 400, "message": "Missing required field: constraintType" } }" I also tried using GraphQL API and facing same issue. Can you please help.

Incremental load version should be LongType or TimestampType. | code: 400 | X-Request-ID: XXXXXX 

Does DB_extractor yaml config support execution of store procedures? If yes how to do that?

Hello Team,Not able to open the FDM from fusion ui on below url. Can you helphttps://slb.fusion.cognite.com/slb-pdf/data-models?cluster=westeurope-1.cognitedata.com&env=westeurope-1 Also when I hit below api its giving 500{{baseUrl}}/api/v1/projects/{{project}}/models/datamodels?inlineViews=trueResponse - {    "error": {        "code": 500,        "message": "Unexpected state"    }} Can you help on this ? 

Hi, I have created one FDM model having JsonObject field. In the transformation query I referred that field , example query:SELECT Series_Title as externalId,       Series_Title as name,       Overview as description,       int(Gross) as gross,       float(IMDB_Rating) as imdbRating,       int(Runtime) as runTime,       int(Released_Year) as releasedYear,       '{"key1":"value1","key2":{"key3":12,"key4":"hello","key5":{"key6":10}}}' as dataFROM movies.moviesFDM model is:type Movie {  name: String!  description: String  watchedIt: Boolean  imdbRating: Float  releasedYear: Int  runTime: Int  gross: Int  actors: [Actor]  data: JSONObject}  The transformation is failing with this error:Unknown property type Json. May be I am missing something, Can you please help?

Hi All,I am going through the cognite fundamentals training, however while I try to implement hands on for Match Entities or create interactive engineering Diagrams, I get an error as insufficient rights, could you please let me know how we can implement the Match Entities and create interactive engineering Diagrams feature while going through the training, can we get access or is there anything that we can do from our end like a workaround to get hands -on for this feature?

With our focus on real-world operational value, delivered at the core of mission-critical digital transformation programs, we are proud to announce being the first and only software platform in the world to achieve compliance with DNV-RP-A204, the energy industry’s recommended practice on how to build and quality-assure digital twins. This certificate of cutting-edge industry standard compliance is further a validation that Cognite Data Fusion delivers best-in-class Open Industrial Digital Twins that:Accelerate and scale AI Asset Performance Management solutions with cross data-source insights Connect to physics simulators and deploy physics-guided machine learnings Establish confidence in the data and computational models running the digital twin Enable predictive analytics solutions like scenario planning Deliver intuitive data visualizations that drive agility and valueYou can read more on: Cognite Data Fusion achieves industry-first DNV compliance for digital twins.If you have ques