MySQL
For this question: Join together two DataSets with MySQL using the name, year, and gender columns and include appropriate indexing.
Not sure what to index here, is there any additional resources around indexing?
The course doesn't go over it explicitly and this link doesn't either:
Answers
-
When indexing you typically want to look at the combinations of fields being used within your joins. This will allow the join to look up the data faster to be more performant.
**Was this post helpful? Click Agree or Like below**
**Did this solve your problem? Accept it as a solution!**0 -
Thanks @GrantSmith for the context!
Are there any additional resources you recommend to do this?
This would be my first time using MySQL and the link in DOMO doesn't include too much explicit information on how to do this successfully https://domohelp.domo.com/hc/en-us/articles/360042922994-Creating-a-SQL-DataFlow#h_37ff9919-86a9-4b5d-b90a-78362ccda2d3
0 -
@GrantSmith, I'm running this MySQL dataflow and its taking forever. What am I doing wrong potentially?
IF I SOLVED YOUR PROBLEM, PLEASE "ACCEPT" MY ANSWER AS A SOLUTION. THANK YOU!
0
Categories
- All Categories
- 1.7K Product Ideas
- 1.7K Ideas Exchange
- 1.5K Connect
- 1.2K Connectors
- 295 Workbench
- 6 Cloud Amplifier
- 8 Federated
- 2.8K Transform
- 97 SQL DataFlows
- 608 Datasets
- 2.1K Magic ETL
- 3.8K Visualize
- 2.5K Charting
- 712 Beast Mode
- 50 App Studio
- 39 Variables
- 668 Automate
- 170 Apps
- 446 APIs & Domo Developer
- 45 Workflows
- 7 DomoAI
- 34 Predict
- 14 Jupyter Workspaces
- 20 R & Python Tiles
- 391 Distribute
- 111 Domo Everywhere
- 274 Scheduled Reports
- 6 Software Integrations
- 116 Manage
- 113 Governance & Security
- Domo Community Gallery
- 31 Product Releases
- 9 Domo University
- 5.3K Community Forums
- 40 Getting Started
- 30 Community Member Introductions
- 103 Community Announcements
- 4.8K Archive