Working with filesystem in Time Series database
summary
VictoriaMetrics is written in Go and targets heavy ingestion, with 2–4 million samples/sec typical and single clusters exceeding 100M. Durability design trades repeated fsync limits (SSD syncs are low) against buffering and periodic flushes into LSM-style sstable parts, using an in-memory buffer plus periodic fsyncs rather than per-write fsync. Atomic on-disk ops use rename-based patterns like must_write_atomic function and scheduled rename/delete retries for NFS; instant backups use hardlink snapshots.
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chapters (11)
- 0:00Filesystem in time series DBs
- 6:06Why databases are slow due to filesystem limitations
- 9:18Time series ingestion needs
- 12:32Postgres optimizations & durability
- 16:28Limitations of write-ahead logs and fsync performance
- 19:00Data corruption risks & atomic ops
- 23:36Merge process & crash recovery
- 25:40NFS issues & file deletion
- 27:07Instant backups with hardlinks
- 28:55Specialized vs general DBs
- 30:24Q&A: Parallel reads & VictoriaMetrics
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