PocketBase API Add Field
This skill provides comprehensive guidance for programmatically adding fields to existing PocketBase collections using the JavaScript SDK API. It enables developers to modify collection schemas without using the Admin UI, making it ideal for automated migrations, deployment scripts, and programmatic database schema updates.
When to Use This Skill
Use this skill when you need to:
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Add new fields to existing PocketBase collections programmatically
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Create automated schema migration scripts
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Update collection schemas without using the Admin UI
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Implement field additions in deployment pipelines
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Perform bulk schema modifications across multiple collections
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Integrate schema changes into custom applications or tools
Prerequisites
Install PocketBase JavaScript SDK
Install the PocketBase SDK if not already available:
npm install pocketbase
Initialize PocketBase Client
import PocketBase from 'pocketbase';
const pb = new PocketBase('http://127.0.0.1:8090');
Admin Authentication
Schema modifications require admin privileges. Authenticate using one of these methods:
// Method 1: Admin credentials await pb.admins.authWithPassword('admin@example.com', 'your-admin-password');
// Method 2: Existing admin token pb.authStore.save('your-admin-token');
Core Workflow
Step 1: Get Current Collection Schema
Retrieve the existing collection to understand current schema:
async function getCollectionSchema(collectionNameOrId) { const collection = await pb.collections.getOne(collectionNameOrId); return collection; }
Step 2: Define New Fields
Create field definitions following PocketBase field schema format:
const newFields = [ { name: 'bio', type: 'text', required: false, options: { max: 1000 } }, { name: 'avatar', type: 'file', required: false, options: { maxSelect: 1, maxSize: 5242880, // 5MB mimeTypes: ['image/jpeg', 'image/png', 'image/webp'] } } ];
Step 3: Add Fields to Schema
Merge new fields with existing schema and update collection:
async function addFieldsToCollection(collectionId, newFields) { const collection = await pb.collections.getOne(collectionId);
// Add new fields to existing schema const updatedSchema = [...collection.schema, ...newFields];
// Update collection const updatedCollection = await pb.collections.update(collectionId, { name: collection.name, schema: updatedSchema });
return updatedCollection; }
Step 4: Verify Changes
Confirm the schema was updated successfully:
async function verifySchemaChanges(collectionId, expectedFields) { const collection = await pb.collections.getOne(collectionId); const fieldNames = collection.schema.map(field => field.name);
return expectedFields.every(field => fieldNames.includes(field)); }
Complete Implementation Example
import PocketBase from 'pocketbase';
async function addFieldsToUsersCollection() { const pb = new PocketBase('http://127.0.0.1:8090');
try { // Authenticate as admin await pb.admins.authWithPassword('admin@example.com', 'your-admin-password');
// Get current users collection
const usersCollection = await pb.collections.getOne('users');
// Define new fields
const newFields = [
{
name: 'bio',
type: 'text',
required: false,
options: {
max: 1000
}
},
{
name: 'is_active',
type: 'bool',
required: false,
default: true
},
{
name: 'date_of_birth',
type: 'date',
required: false
}
];
// Add fields to schema
const updatedSchema = [...usersCollection.schema, ...newFields];
// Update collection
const updatedCollection = await pb.collections.update(usersCollection.id, {
name: usersCollection.name,
schema: updatedSchema
});
console.log('Fields added successfully!');
return updatedCollection;
} catch (error) { console.error('Error adding fields:', error); throw error; } finally { pb.authStore.clear(); } }
Field Type Examples
Common field configurations for different data types:
Text Fields
{ name: 'full_name', type: 'text', required: true, options: { min: 1, max: 100 } }
Email Fields
{ name: 'secondary_email', type: 'email', required: false }
Number Fields
{ name: 'age', type: 'number', required: false, options: { min: 0, max: 150 } }
Select Fields
{ name: 'status', type: 'select', required: true, options: { values: ['active', 'inactive', 'pending'] } }
Relation Fields
{ name: 'team', type: 'relation', required: false, options: { collectionId: 'teams_collection_id', maxSelect: 1 } }
Error Handling & Best Practices
Validate Field Names
Check for conflicts with existing fields:
function validateFieldNames(newFields, existingSchema) { const existingNames = existingSchema.map(field => field.name); const conflicts = newFields.filter(field => existingNames.includes(field.name));
if (conflicts.length > 0) {
throw new Error(Field name conflicts: ${conflicts.map(f => f.name).join(', ')});
}
}
Safe Field Addition
Backup and restore schema on failure:
async function safeFieldAddition(collectionId, newFields) { const originalCollection = await pb.collections.getOne(collectionId);
try { await pb.admins.authWithPassword('admin@example.com', 'password');
// Validate no conflicts
validateFieldNames(newFields, originalCollection.schema);
// Add fields
const updatedSchema = [...originalCollection.schema, ...newFields];
await pb.collections.update(collectionId, {
name: originalCollection.name,
schema: updatedSchema
});
} catch (error) { // Restore original schema on failure await pb.collections.update(collectionId, { name: originalCollection.name, schema: originalCollection.schema }); throw error; } }
Authentication Cleanup
Always clean up authentication state:
try { // Your schema modification logic } catch (error) { console.error('Schema modification failed:', error); throw error; } finally { pb.authStore.clear(); }
Additional Resources
Reference Files
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references/field-types.md
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Complete field type reference with all options
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references/advanced-patterns.md
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Advanced schema modification patterns
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references/error-handling.md
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Comprehensive error handling strategies
Examples
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examples/basic-field-addition.js
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Simple field addition example
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examples/batch-schema-update.js
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Multiple fields and collections
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examples/migration-script.js
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Production migration script template
Scripts
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scripts/validate-schema.js
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Schema validation utility
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scripts/backup-restore.js
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Schema backup and restore helper
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scripts/field-conflict-check.js
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Field name conflict detection
Key Points
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Admin Authentication Required - Collection schema changes require admin privileges
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Get Current Schema First - Never assume the current state of the collection
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Validate Field Names - Ensure no conflicts with existing fields
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Handle Errors Gracefully - Consider rolling back changes if something fails
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Clean Up Authentication - Clear auth state when done
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Test Thoroughly - Verify the schema changes work as expected before production use
This approach provides complete programmatic control over PocketBase collection schemas, enabling automated migrations and deployment workflows.