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Database Functionality: Understanding Data Types
Database Functionality: Understanding Data Types

As of Nov 6, 2023

Yuki Omori avatar
Written by Yuki Omori
Updated over a week ago

📝 Overview

In Yoom, columns in a database have a specific data format, known as Data Types.


🔍 Specifications

Data Type

Description

Notes

Text

A single line of text.

Max: 255 characters.

Treated as a string in other applications.

Long Text

Supports multiple lines of text.

Max: 65,535 characters.

Line breaks can be inserted with Shift+Enter.

Numeric

Allows only numbers.

Commas are automatically inserted every three digits.

Dropdown

Select a value from predefined options.

Values are color-coded automatically (6 types).

Date

Enter a date in yyyy-mm-dd format.

The format cannot be changed here but can be modified in Flowbot.

Date Time

Enter a date and time in yyyy-mm-dd hh:mm format.

The format cannot be changed here but can be modified in Flowbot.

Single Checkbox

Displayed as a checkbox.

When retrieving data:

✔️ Checked: true

Not checked: false

File

Attach files that can be downloaded.

Max: 5 files per record.

Storage capacity: depends on the plan

Image

Display Images with the option to enlarge or delete.

Max: 5 files per record.

Storage capacity: depends on the plan

Function

Perform calculations between columns within the same record.

Only functions available in the formula editor can be used.

Data synchronized from other Yoom tables via Data Connect cannot be used in functions.

URL

Display entered URLs as clickable links.

Must be in https:// or http:// format.

User

Assign any user registered in the same workspace.

Creation Date and Time

Automatically record when the record was created.

Cannot be manually added or updated when operating the database.

Update Date and Time

Automatically record when the record was last updated.

Cannot be manually added or updated when managing the database.

📚 Related Guides

  • Files and Image Attachment Feature in Yoom Database - View Guide

Search Keywords

Data Type, Data Format, Column, Manage Database, Database, functionality

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