The Delete Data block allows you to remove data from tables or variables in your workflow. This is useful for cleaning up temporary data or removing unnecessary information before completing your automation.

​
Inputs

​
☐ Description (Optional)

A brief note explaining what data you’re deleting.
Good Examples:
  • “Remove temporary processing variables”
  • “Clear sensitive login data”
  • “Delete intermediate calculation results”

​
☐ Data Type (Required)

Choose what type of data to delete:

Table Columns

Description: Remove data from specific table columns.Features:    ☐ Delete multiple columns at once    ☐ Clear specific rows or all data    ☐ Keep table structure intactExample Use Case: Removing temporary calculation columns after processing

Variables

Description: Delete specific variables from the workflow.Features:    ☐ Remove single or multiple variables    ☐ Clear variable contents    ☐ Free up workflow memoryExample Use Case: Clearing login credentials after use

​
Usage Examples

1. Cleanup Processing

TypeTable
Columnstemp_data, calculations
Remove temporary processing columns after analysis

2. Security Cleanup

TypeVariables
Namespassword, token
Clear sensitive authentication data after use

3. Data Reset

TypeTable
ActionClear All
Reset table data before new processing cycle

4. Memory Management

TypeVariables
NamestempArray, buffer
Free up memory by removing large temporary variables

​
Notes

  • Deleted data cannot be recovered
  • Verify data is no longer needed before deletion
  • Consider backing up important data first
  • Check for dependencies before removing variables