Redshift Data flow runtime increased
Comments
-
I suppose that depends on the size of the data set and how you are joining the data. Can you provide more details? I have found that when I try to join 3 or more tables in the same select statement it can sometimes add significant runtime. If you have any transforms that are doing that you may want to consider splitting that step into multiple steps and only join two tables at a time.
“There is a superhero in all of us, we just need the courage to put on the cape.” -Superman0
Categories
- All Categories
- 1.7K Product Ideas
- 1.7K Ideas Exchange
- 1.5K Connect
- 1.2K Connectors
- 292 Workbench
- 4 Cloud Amplifier
- 8 Federated
- 2.8K Transform
- 95 SQL DataFlows
- 602 Datasets
- 2.1K Magic ETL
- 3.7K Visualize
- 2.4K Charting
- 695 Beast Mode
- 43 App Studio
- 39 Variables
- 658 Automate
- 170 Apps
- 441 APIs & Domo Developer
- 42 Workflows
- 5 DomoAI
- 32 Predict
- 12 Jupyter Workspaces
- 20 R & Python Tiles
- 386 Distribute
- 111 Domo Everywhere
- 269 Scheduled Reports
- 6 Software Integrations
- 113 Manage
- 110 Governance & Security
- 8 Domo University
- 30 Product Releases
- Community Forums
- 39 Getting Started
- 29 Community Member Introductions
- 98 Community Announcements
- Domo Community Gallery
- 4.8K Archive