I am working on a Dataiku WebApp and facing an issue with the Flask API. When I create a new API inside the WebApp, I get a 404 error when calling it. Also, if I add a new input parameter to an existing GET API, it starts returning a 404 error as well. Could you please help me understand why this is happening and how to…
hi dataiku users, wondering what is the best practice if i have a knowledge bank that will be used as one of the source of data in one of my API endpoint service? currently the knowledge bank is still in the designer node and the api is in the api node which sits in different server i notice sometime the api response…
currently i use redshift as the source dataset , and use export to folder recipe export excel to sharepoint, the destination dataset point on sharepoint. but when i running the job, if the excel less than 50mb, job success. but if more than 50mb , report below issue: Oops: an unexpected error occurred Error in Python…
Hey everyone, im new here I’m facing a weird issue with the Window recipe while trying to compute rolling transaction metrics — specifically sum and count over 1-day, 7-day, and 30-day periods. Here’s my setup: Partitioned by cc_num Ordered by trans_date_trans_time Using a window frame (either limit by range in days/hourse…
I work on data fed daily and I try to find a way in Dataiku to do upsert: do at the same time update records and insert new records, what are the different ways to do this please?
Please advise how to setup a formula that outputs a null value instead of the empty string in the database. using redshift database. Simple example, ColumnB: if(isNull(ColumnA), "", ColumnA) What do i use instead of double quotes
Hi all, i had the great luck to receive the objective of creating a customs import volume forecast for my company on DataIKU as part of my annual target agreement. So now i've started my new DataIKU Project. To be honest, i am a complete newbie to this platform. Personally i work daily with Excel, a very little bit with…
When uploading a csv file, and ticking the " Parse next line as column headers" option, the created dataset doesn't have the column names contained in the first row of the file.
When I exported the project from dataiku, I couldn't complete the export due to the following error: "Invalid argument. An invalid argument has been encountered: Connection 'XXX' does not exist." Based on this error, I checked all the dataset connections and found that none of them require this connection. Operating system…
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