tag
7 posts
A disciplined BFS metadata workflow: choose typed attributes, create matching volume indexes, write values, query them, and migrate schemas safely.
A practical model of Haiku node monitoring, including watched objects, BMessages, event races, recursive trees, and recovery after missed changes.
How Haiku BFS combines typed attributes, per-volume indexes, query predicates, live updates, B+trees, and journaling without becoming SQL.
A safe BFS mount-and-repair workflow using hardware detection, DriveSetup, check-only mode, backups, the correct checkfs syntax, and logs.
Build and test a Haiku backup that preserves BFS attributes, user settings, package inventory, writable state, and safe restore boundaries.
Create typed BFS metadata, index it per volume, build and save accurate Tracker queries, and verify live results without losing attributes.
How Haiku BQuery combines BFS indexes, typed predicates, BMessenger updates, saved searches, and defensive state reconciliation.