Optimize migration for calendars with 10,000+ events #19

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opened 2025-10-28 19:47:04 +00:00 by PhilflowIO · 0 comments

PhilflowIO commented

2025-10-28 19:47:04 +00:00

(Migrated from github.com)

Improve performance for very large calendars.

Requirements:

Batch create operations (if tsdav supports)
Parallel processing (migrate multiple calendars simultaneously)
Memory-efficient streaming (don't load all events in memory)
Progress checkpoints (save state every N events)

Technical Details:

Investigate tsdav batch operations
Use Node.js streams for large datasets
Worker threads for parallel processing?

Estimated Effort: Medium (4-5 days)

Related to: DAV Migration CLI - Phase 2

Improve performance for very large calendars. **Requirements:** - Batch create operations (if tsdav supports) - Parallel processing (migrate multiple calendars simultaneously) - Memory-efficient streaming (don't load all events in memory) - Progress checkpoints (save state every N events) **Technical Details:** - Investigate tsdav batch operations - Use Node.js streams for large datasets - Worker threads for parallel processing? **Estimated Effort:** Medium (4-5 days) **Related to:** DAV Migration CLI - Phase 2