Comments
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Just tried uploading it with different sizes. I'm starting to think there is a cap because I uploaded 3/4 the size and it worked normally but when I removed a few dozen rows, I get the same error. It also says Updated:Invalid date on the top however there's no date field in the JSON file.
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I tried an online JSON parser and it was formatted correctly so I don't think there's an issue there. Is there a limit how many rows I can pull in? It's around 437k rows with only like 5 columns.
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Haven't thought of that, i'll give that a try right now!
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Alright thanks. You would think Domo would make a more simpler way to do this by now. I've got dataflows with 30+ inputs and now I have to go to through all and share each on just so a user can edit a single dataflow? Seems kind of silly.
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Wait, how do I share a dataflow with a user? I see that I can share a dataset that a dataflow outputs but I'm not seeing where I can do the former. Also for clarification, say I have a dataflow that takes in 15 different inputs. Will I have to have those 15 inputs shared to the user as well just so they can access the ETL…
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Would it be possible to do this in the ETL? Because I'm going to need to perform the simple moving average calculation right after I group the rows together and I'm assuming it's not possible to do that part in the card analyzer right?
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Any ideas?
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Here it is: SUM( CASE WHEN `Win Date` IS NOT NULL THEN 1 END )
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Yes I am. Is that the reason why it's not working?
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Ah ok thank you so much! I encountered an addditional problem after this though. I got this error: { "errorMessage": "get_dataset() takes 1 positional argument but 2 were given", "errorType": "TypeError", "stackTrace": [ " File \"/var/runtime/bootstrap.py\", line 119, in handle_event_request\n response =…
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So really dumb question but the line where you have: base64auth = 'InsertBase64_ID+Secret' is that where I sub out the InsertBase64_ID with the Client ID and the Secret with Client Secret?
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Here's the code I'm using. The references is just AWS and DOMO API stuff. import requests import reference def get_dataset(self, id): # Get Access Token and Domo API Response r = requests.get("https://api.domo.com/oauth/token?grant_type=client_credentials&scope=data", auth=(reference.CLIENT_ID, reference.CLIENT_SECRET))…
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Basically the answer is no if the visualization is in a table. Alerts for tables only give summary alerts. I ended up having to switch it to a bar graph and then I was able to get the alert to work.