Adrenaline dataflows should not re-evaluate the schema of an inbound dataset.


I have discovered that a dataset being brought into an adrenaline dataflow, will have its schema re-evaluated based on the first x number of rows coming in.
In my case, this resulted in a google sheet dataset coming into the dataflow with an important text field being reassigned as a number. all the text values were then set to NaN. This, of course, rendered the dataflow useless as the text values were required for the needed processing.
Rather than re-evaluating a schema, adrenaline dataflows should take the schema from the dataset itself. That schema has been established and accepted prior to processing. I was told that it is working as designed but that is insanity. You should never assume you know better what the schema of a dataset should be and override the datatypes defined in that dataset.
Categories
- All Categories
- 2K Product Ideas
- 2K Ideas Exchange
- 1.6K Connect
- 1.3K Connectors
- 311 Workbench
- 6 Cloud Amplifier
- 9 Federated
- 3.8K Transform
- 657 Datasets
- 115 SQL DataFlows
- 2.2K Magic ETL
- 815 Beast Mode
- 3.3K Visualize
- 2.5K Charting
- 81 App Studio
- 45 Variables
- 775 Automate
- 190 Apps
- 481 APIs & Domo Developer
- 81 Workflows
- 23 Code Engine
- 40 AI and Machine Learning
- 20 AI Chat
- 1 AI Playground
- 1 AI Projects and Models
- 18 Jupyter Workspaces
- 410 Distribute
- 120 Domo Everywhere
- 280 Scheduled Reports
- 10 Software Integrations
- 144 Manage
- 140 Governance & Security
- 8 Domo Community Gallery
- 48 Product Releases
- 12 Domo University
- 5.4K Community Forums
- 41 Getting Started
- 31 Community Member Introductions
- 114 Community Announcements
- 4.8K Archive