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On this page
  • Introduction
  • What is metadata?
  • Example: Row with Metadata
  • Best Practices

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  1. Data Structures

Row Metadata

Introduction

In the Beefree SDK, reusable or saved rows can include a metadata object to help organize and manage them within the builder interface. This metadata is not used for content rendering. Instead, it provides helpful context—like titles, tags, categories, timestamps, and user information—that can be leveraged by the host application.

The metadata object is part of the overall Row structure and is intended for internal use by the application to support filtering, sorting, version tracking, and multi-user ownership models.

What is metadata?

The metadata object is a plain JSON object that lives inside a row. It stores contextual information about the row, such as:

Field
Type
Description

name

string (required)

A human-readable title for the row shown in the Rows panel.

tags

string

A comma-separated list of keywords used to categorize or filter the row.

category

string or number

An identifier that groups rows into categories.

id

string or number

A unique identifier for the row, assigned by the host application.

idParent

string, number, or null

Optional ID of a parent row, if this row is derived from another.

dateCreated

string (ISO 8601)

When the row was originally created.

dateModified

string (ISO 8601)

When the row was last modified.

userId

string or number

ID of the user who created or owns the row.

All fields are optional except name, and you can adjust or extend this structure to fit your system’s needs.

Example: Row with Metadata

{
  "name": "Two-Column Product Row",
  "columns": [ /* column definitions */ ],
  "metadata": {
    "name": "Featured Product",
    "tags": "product, two columns, featured",
    "category": "ecommerce",
    "id": "row_001",
    "idParent": null,
    "dateCreated": "2023-10-02T12:45:00Z",
    "dateModified": "2023-12-01T14:20:30Z",
    "userId": "user_789"
  }
}

Best Practices

  • Use tags and category to enable search and filtering in the Rows tab.

  • Track changes using dateCreated and dateModified.

  • Support multi-user setups by associating rows with a userId.

  • Assign unique IDs for efficient management of saved or shared rows.

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