How do i trim out an email address from a field with a string?
How do i trim out an email address from a field with a string?
Example of Field:
Yes, we accept this current pricing and would like to proceed with this order. Thank you, Bob Dole Lab Research Analyst Poss Lab—Dole University bob.dole@some.edu Thanks
Best Answer
-
Hi @gbennett
You could utilize a Magic ETL dataflow and a Replace Text tile in combination with a regular expression. It will keep the original value if it doesn't find a valid email address.
Here's a regular expression which will find an email within a string.
(\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,}\b)
You can copy and paste the following code into a Magic ETL dataflow which will automatically populate the replace text tile for you:
{"contentType":"domo/dataflow-actions","data":[{"name":"Replace Text","id":"f04511d9-2fee-4a8b-909f-cf65b6622b8f","type":"ReplaceString","gui":{"x":252,"y":120},"dependsOn":["75646ce3-bee8-4d31-82ca-46451cf82eab"],"removeByDefault":false,"notes":[],"fields":[{"inStreamName":"Column","useRegex":true,"replaceString":"^.*(\\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\\.[A-Z]{2,}\\b).*$","replaceByString":"$1","wholeWord":false,"caseSensitive":false}]}]}
**Was this post helpful? Click Agree or Like below**
**Did this solve your problem? Accept it as a solution!**3
Answers
-
Hi @gbennett
You could utilize a Magic ETL dataflow and a Replace Text tile in combination with a regular expression. It will keep the original value if it doesn't find a valid email address.
Here's a regular expression which will find an email within a string.
(\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,}\b)
You can copy and paste the following code into a Magic ETL dataflow which will automatically populate the replace text tile for you:
{"contentType":"domo/dataflow-actions","data":[{"name":"Replace Text","id":"f04511d9-2fee-4a8b-909f-cf65b6622b8f","type":"ReplaceString","gui":{"x":252,"y":120},"dependsOn":["75646ce3-bee8-4d31-82ca-46451cf82eab"],"removeByDefault":false,"notes":[],"fields":[{"inStreamName":"Column","useRegex":true,"replaceString":"^.*(\\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\\.[A-Z]{2,}\\b).*$","replaceByString":"$1","wholeWord":false,"caseSensitive":false}]}]}
**Was this post helpful? Click Agree or Like below**
**Did this solve your problem? Accept it as a solution!**3 -
Hey @GrantSmith , works beautifully.
0
Categories
- All Categories
- Product Ideas
- 2.1K Ideas Exchange
- Connect
- 1.3K Connectors
- 309 Workbench
- 7 Cloud Amplifier
- 10 Federated
- Transform
- 663 Datasets
- 119 SQL DataFlows
- 2.3K Magic ETL
- 823 Beast Mode
- Visualize
- 2.6K Charting
- 86 App Studio
- 46 Variables
- Automate
- 193 Apps
- 483 APIs & Domo Developer
- 86 Workflows
- 23 Code Engine
- AI and Machine Learning
- 23 AI Chat
- 4 AI Projects and Models
- 18 Jupyter Workspaces
- Distribute
- 117 Domo Everywhere
- 283 Scheduled Reports
- 11 Software Integrations
- Manage
- 143 Governance & Security
- 11 Domo Community Gallery
- 49 Product Releases
- 13 Domo University
- Community Forums
- 41 Getting Started
- 31 Community Member Introductions
- 116 Community Announcements
- 5K Archive