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Hi All,In C# SDK Upload link description says it provide link to upload file in GKS. Does it work if CDF is hosted on Azure as well.
Hi All,I am trying to update data in RAW table. I am using below code but after executing it either column values are not modified or sometimes all the columns shrink under one columns as ({} columns) and column data is also not updated in that case. var row = confModel.RawRow as RawRow<Dictionary<string, JsonElement>>;if (row == null){ return;}var currentDate = DateTime.Now;var utcDate = currentDate.ToUniversalTime().ToString("u").Replace(" ", "T");row.Columns[UpdatedBy] = GetJsonElement(JsonValue.Create("SYSTEM"));row.Columns[SimulationStatus] = GetJsonElement(JsonValue.Create(status.ToString()));row.Columns[UpdatedDate] = GetJsonElement(JsonValue.Create(utcDate));var rawRowCreateColl = new List<RawRowCreate<RawRow<Dictionary<string, JsonElement>>>>();var rawRowCreate = new RawRowCreate<RawRow<Dictionary<string, JsonElement>>>();rawRowCreate.Key = confModel.RowKey;rawRowCreate.Columns = row;rawRowCreateColl.Add(rawRowCreate);tr
Hi All,I am trying to retrieve the data from Raw table using C# Sdk. I am using the ListRowsAsync and it is giving me the error that project limit reached although there is one row in the Raw table. Also, there is one column which contains the JSON data. I am able to read the same data using Python SDK. Does anybody have example for C# SDK.
Hello Everyone,Is there any row count storage limit for the instances which we store in container view in solution data model.Regards,Adarsh
Use case: We have variety of workflows which generate multiple values on a single date. To be more specific it is kind of tabular data like Sequences but there is no notion of datapoints/date in Sequences, whereas our output is date effective.We cannot keep on creating Sequences on daily basis as after a certain period of time there will be huge no of Sequences which will be tough to update and query.In Time Series we can store a single value either of type Numeric or String on a given date. We cannot have multiple values on the same date. Alternative can be to store serialized object of Sequences as JSON string in Timeseries datapoint. Questions:What is the data size limit of Timeseries string field?Requested feature: Can we have a variant of Sequences based on similar concept as that of Timeseries where we have datapoints and we can store tabular data as value on given date.
We may have many clients with small userbase. What is the suggested deployment model for these clients from below options:As all the CDF projects are isolated, should we as a single Cognite tenant create different projects for different clients. We should provision separate Cognite tenant for each client keeping future creation of multiple CDF projects over time.
As a Cognite tenant we can have multiple CDF projects. Some CDF projects may have large user base in comparison to others. Do we need to worry about Cognite WebAPI request handling capacity.
Can we get usage cost per CDF project.
Is there any difference between Cognite WebAPI vs Cognite Python SDK in terms of response time and data transfer limit.
In bootcamp documentation there were some guiding principles:https://docs-bootcamp.app.cogniteapp.com/content/chapter_0/#the-ice-cream-factory-dataOne of them was for Cognite functions:Cognite Functions for running and scheduling simple and short workloads in Python (< 10 min. execution time)Can we use Cognite functions for long running and scheduling workloads typically of duration 10-12 hours.
Do we have option available to deploy CDF on private cloud.
Can we have function chaining feature in Cognite functions where on sucess/failure status of a function we initiate another function.
We are currently exploring workflow development on top of CDF python SDK. The client secret is used in the workflow code in order to connect with CDF project instance. This client secret is bound to expire after predefined interval. It will incur production downtime and manual intervention in order to update the secret.Can we have or do we have some concept similar to refresh tokens in CDF Python SDK.
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