How does this skill handle server timeouts during large inserts?

The skill provides chunking patterns that split large datasets into manageable batches (e.g., 100 records at a time), ensuring the server remains responsive and avoids memory exhaustion.

Can I track the progress of a bulk import using this skill?

Yes, it includes implementation examples for progress callbacks and React integration to provide real-time feedback during long-running data operations.

Is there a limit to how many records I can delete at once?

While the API allows multiple deletions via deleteMany, the skill recommends chunking for extremely large sets and requires a 'where' clause to prevent accidental deletion of all records.

Does Bknd support native transactions for bulk updates?

While Bknd does not have explicit transactions, this skill provides 'transaction-like' patterns, including manual rollback logic and error handling to maintain data integrity.

Bknd Bulk Operations

Name: Bknd Bulk Operations
Author: cameronapak

bycameronapak

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Database Management

Streamlines high-volume data operations in Bknd.io using optimized batch processing, chunking, and error handling strategies.

About

The Bknd Bulk Operations skill equips Claude with specialized patterns for executing large-scale data modifications within the Bknd.io ecosystem. It provides comprehensive implementation guides for createMany, updateMany, and deleteMany methods, alongside advanced techniques for chunked processing to prevent memory issues and timeouts. This skill is essential for developers performing data migrations, environment seeding, or mass updates, ensuring that bulk operations are executed reliably with robust error recovery and progress tracking patterns.

Key Features

High-performance bulk CRUD using createMany, updateMany, and deleteMany
Configurable error handling including fail-fast and best-effort strategies
Server-side seeding and automated data migration templates
Parallel batch processing patterns for optimized API throughput
Advanced data chunking logic for processing massive datasets without timeouts
1 GitHub stars

Use Cases

Executing mass record updates or soft-delete cleanups for data maintenance
Migrating legacy system data into a modern Bknd.io architecture
Seeding development and staging environments with large-scale realistic data

About

Key Features

High-performance bulk CRUD using createMany, updateMany, and deleteMany
Configurable error handling including fail-fast and best-effort strategies
Server-side seeding and automated data migration templates
Parallel batch processing patterns for optimized API throughput
Advanced data chunking logic for processing massive datasets without timeouts
1 GitHub stars

Use Cases

Executing mass record updates or soft-delete cleanups for data maintenance
Migrating legacy system data into a modern Bknd.io architecture
Seeding development and staging environments with large-scale realistic data