Data Processing using Partition
Answers
-
@scpradhan Could you please share some details of how your ETL is set up?
0 -
You need to make sure the data partition is configured correctly. And make sure the partition key accurately segments your data without omitting relevant data.
One of the things I watch closely in Domo ETL processing is duplicate records affecting joins. Number of rows can easily go whack. Normally expanding not loss. With less records I would recheck things like filters and formulas. And possibly calculations affected by NULLs. If values come out as null, the calculations could vacate. Review the use of COALESCE.** Was this post helpful? Click Agree or Like below. **
** Did this solve your problem? Accept it as a solution! **0 -
@MichelleH basically, in the ETL, we are pulling only the new data being appended in the input dataset and the partition is done by the date.
0
Categories
- All Categories
- 1.5K Product Ideas
- 1.5K Ideas Exchange
- 1.4K Connect
- 1.1K Connectors
- 278 Workbench
- 4 Cloud Amplifier
- 4 Federated
- 2.7K Transform
- 89 SQL DataFlows
- 560 Datasets
- 2K Magic ETL
- 3.3K Visualize
- 2.3K Charting
- 575 Beast Mode
- 13 App Studio
- 28 Variables
- 582 Automate
- 141 Apps
- 414 APIs & Domo Developer
- 26 Workflows
- 1 DomoAI
- 28 Predict
- 12 Jupyter Workspaces
- 16 R & Python Tiles
- 356 Distribute
- 95 Domo Everywhere
- 259 Scheduled Reports
- 2 Software Integrations
- 92 Manage
- 89 Governance & Security
- 9 Product Release Questions
- Community Forums
- 42 Getting Started
- 28 Community Member Introductions
- 89 Community Announcements
- 4.8K Archive