bkend-data

name

bkend-data

description

bkend.ai data management guide. Tables, columns, CRUD operations, schema design, indexes, and query filtering with bkend.ai BaaS. Triggers: bkend table, bkend column, bkend CRUD, bkend schema, bkend data, bkend 테이블, bkend 데이터, CRUD, 스키마, bkendテーブル, bkendデータ, bkend表, bkend数据, tabla bkend, données bkend, bkend-Daten, dati bkend Do NOT use for: auth (use $bkend-auth), file storage (use $bkend-storage).

bkend.ai Data Management

Create tables, define schemas, and perform CRUD operations.

Actions

Action	Description	Example
table	Create a new table	$bkend-data table users
schema	Design table schema	$bkend-data schema
query	Query data examples	$bkend-data query

Creating Tables

Tables in bkend.ai are created through the dashboard or MCP:

Via Dashboard

1. Go to project > Database
2. Click "New Table"
3. Define columns with types

Via MCP

Create a table called "posts" with:
- title (string, required)
- body (text, required)
- status (enum: draft/published, default: draft)
- author_id (reference to users)
- created_at (datetime, auto)
- updated_at (datetime, auto)

Column Types

Type	Description	Example
string	Short text (max 255)	name, email, slug
text	Long text (unlimited)	body, description
number	Integer or float	age, price, count
boolean	True/false	is_active, is_published
datetime	Date and time	created_at, due_date
enum	Fixed set of values	status, role, type
json	JSON object	metadata, settings
reference	Foreign key to another table	author_id, category_id
file	File reference	avatar, attachment

CRUD Operations

Create

const post = await bkend.data.create('posts', {
  title: 'My First Post',
  body: 'Hello world!',
  status: 'draft',
  author_id: currentUser.id,
});

Read (Single)

const post = await bkend.data.get('posts', postId);

Read (List with Filters)

const posts = await bkend.data.list('posts', {
  status: 'published',
  sort: '-created_at',
  page: '1',
  limit: '20',
});

Update

const updated = await bkend.data.update('posts', postId, {
  title: 'Updated Title',
  status: 'published',
});

Delete

await bkend.data.delete('posts', postId);

Query Patterns

Filtering

// Exact match
{ status: 'published' }

// Multiple filters (AND)
{ status: 'published', author_id: userId }

Sorting

// Ascending
{ sort: 'created_at' }

// Descending (prefix with -)
{ sort: '-created_at' }

Pagination

// Page-based
{ page: '2', limit: '10' }

Search

// Full-text search
{ search: 'keyword' }

React Hooks

// hooks/usePosts.ts
import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query';

export function usePosts(filters?: Record<string, string>) {
  return useQuery({
    queryKey: ['posts', filters],
    queryFn: () => bkend.data.list('posts', filters),
  });
}

export function useCreatePost() {
  const qc = useQueryClient();
  return useMutation({
    mutationFn: (data: CreatePostInput) => bkend.data.create('posts', data),
    onSuccess: () => qc.invalidateQueries({ queryKey: ['posts'] }),
  });
}

Schema Best Practices

1. Always include created_at and updated_at
2. Use reference type for relationships
3. Add indexes on frequently filtered columns
4. Use enum for fixed value sets
5. Use json sparingly (harder to query)

Reference

See references/bkend-patterns.md for complete API client code and advanced patterns.