Add a detailed README, WTFPL LICENSE, and build/CI tooling modeled on the vaultik repo (Makefile, multi-stage digest-pinned Dockerfile, .gitea/workflows/check.yml). Bump Go to 1.26.4 and pin golangci-lint to v2.12.2. gofmt existing sources so the new fmt-check gate passes.
bsdaily
bsdaily is a command-line utility
written in Go that carves a single day (or a range of
days) of Bluesky firehose data out of a large,
continuously-growing SQLite database and writes it out as a self-contained,
zstd-compressed SQL dump. The dumps are
named by date (e.g. 2026-06-27.sql.zst), organized into per-month
directories, and are designed to be published, archived, mirrored, and later
re-merged back into a single database.
The source database is read from a read-only ZFS
snapshot, so extraction never contends with the live firehose ingester that
is writing to the original database. The tool is operationally
conservative: it checks free disk space before starting, copies the snapshot
to fast scratch storage, processes one day at a time to avoid SQLite lock
contention, verifies every compressed output before publishing it, and
writes output atomically via a temp-file-and-rename so a partial run never
leaves a corrupt .sql.zst behind.
This project was written by @sneak to produce a daily, mergeable, publicly-mirrorable archive of the Bluesky firehose. It is currently a one-person effort. The current version is pre-1.0 and there has not yet been a versioned release; SemVer will be used for releases.
Build Status
CI runs the standard make check (formatting, linting, tests). The main
branch must always be green.
Participation
Primary development happens on a privately-run Gitea instance at https://git.eeqj.de/sneak/bsdaily and issues are tracked there.
Changes must always be formatted with a standard go fmt, syntactically
valid, and must pass the linting defined in the repository (presently the
golangci-lint defaults), which can be run with a make lint. The main
branch is protected and all changes must be made via pull
requests and pass CI to be merged.
See REPO_POLICIES.md for detailed coding standards,
tooling requirements, and workflow conventions.
Problem Statement
A Bluesky firehose ingester writes every observed post (and associated
users, hashtags, URLs, and media references) into a single ever-growing
SQLite database, firehose.db. This database has several properties that
make it awkward to publish or archive directly:
- It is large and always growing, so re-publishing the whole thing every day is wasteful.
- It is continuously written, so reading from it directly risks lock contention with the live ingester and inconsistent reads.
- It is monolithic, so there is no natural unit at which to mirror, share, or distribute "just yesterday's posts".
What is wanted instead is a stable, immutable, per-day artifact: a small file containing exactly one calendar day of firehose data, cheap to publish, cheap to mirror, and trivially re-mergeable into a full database by anyone who collects a set of them.
Proposed Solution
A tool, bsdaily, that:
- locates the most recent read-only ZFS daily snapshot of the firehose filesystem, so it reads from a consistent point-in-time copy that the live ingester cannot be writing to;
- copies the snapshot's database files to fast scratch storage;
- extracts a single day's
posts(and all rows reachable from them) into a fresh, minimal per-day SQLite database; - dumps that per-day database to SQL and pipes it through multithreaded zstd compression;
- verifies the compressed output (zstd integrity check plus a sanity check that the decompressed stream actually looks like SQL);
- publishes the result atomically as
DailiesBase/YYYY-MM/YYYY-MM-DD.sql.zst.
Each daily dump is emitted with INSERT statements over the full schema
(including the deduplicated users, hashtags, and urls lookup tables),
so any collection of daily dumps can be merged into a single database by
rewriting INSERT INTO to INSERT OR IGNORE INTO and replaying them in
sequence. Two helper scripts (merge_daily_dumps.sh
and regenerate_auxiliary_tables.sql) are
included to do exactly this and to rebuild the aggregate statistics
(use_count, first_seen, user resolved_at/updated_at) afterward.
Design Goals
- Never disturb the live ingester. All reads come from a ZFS snapshot, never the live database.
- Crash-safe, idempotent runs. Output is written to a temp file and atomically renamed; a day whose final output already exists is skipped, so re-running a range is safe and resumable.
- Mergeable output. Daily dumps re-combine losslessly into a full
database via
INSERT OR IGNORE. - Operationally cautious. Free-space preflight checks on both scratch and output filesystems; explicit verification of every artifact before it is published.
- Fast where it's free. Large snapshot copies use a 256MiB buffer,
pre-allocate the destination, and (on Linux) issue
posix_fadvisesequential/willneed hints; extraction uses aggressive, crash-unsafe-by-design SQLite pragmas because the working data lives only in disposable scratch space.
Non-Goals
- Real-time export.
bsdailyoperates on daily snapshots; the freshest day it can produce is the snapshot date minus one. - Schema ownership. The schema is defined by the upstream firehose
ingester;
schema.sqlis included for reference only.bsdailycopies whatever table and index DDL it finds in the source. - Cross-platform deployment. It is built and run on Linux (the
free-space check and fadvise hints use
golang.org/x/sys/unix; a non-Linux build compiles but is a no-op for the fadvise hints). The hard-coded paths assume the production host's ZFS layout.
How It Works
A single run proceeds as follows:
- Find the snapshot. Scan
SnapshotBasefor directories matchingzfs-auto-snap_daily-YYYY-MM-DD-NNNN, pick the most recent, and confirm it containsfirehose.db. - Determine target days. Default to the snapshot date minus one day;
or use
--date, or every day in the inclusive--from/--torange. - Preflight disk space. Require at least 500GiB free on the scratch filesystem and 20GiB free on the output filesystem.
- Copy the database to scratch. Copy
firehose.db, its-wal, and (if present) its-shmfrom the snapshot into a fresh temp directory underTmpBase. - Per day, processed strictly one at a time to avoid SQLite contention:
- skip the day if its final output file already exists;
ATTACHthe copied source DB to a new empty per-day DB, recreate the table DDL, andINSERT ... SELECTthe target day'spostsplus all rows reachable from them (posts_hashtags,posts_urls,hashtags,urls,users, andmediaif that table exists);- abort the day cleanly if there are zero posts (
ErrNoPosts), rather than emitting an empty dump; - recreate indexes, detach the source, and verify the inserted row count;
sqlite3 .dump | zstdmtinto a hidden temp file;- run a zstd integrity check and confirm the decompressed head looks like SQL;
- atomically rename into place and delete the per-day scratch DB.
- Clean up the temp directory and log a processed/skipped/total summary.
Usage
bsdaily # extract the snapshot date minus one day
bsdaily --date 2026-06-27 # extract a single specific day
bsdaily --from 2026-06-01 --to 2026-06-27 # extract an inclusive range
Flags:
-d,--date YYYY-MM-DD— extract a single day. Mutually exclusive with--from/--to.--from YYYY-MM-DD— start of an inclusive range (requires--to).--to YYYY-MM-DD— end of an inclusive range (requires--from).
With no flags, the tool extracts the day before the latest snapshot. All
progress is logged as structured slog text to stderr.
Merging dumps back into a database
# Using the helper script:
./merge_daily_dumps.sh merged.db daily_dumps/*.sql.zst
# Or by hand:
zstdcat *.sql.zst | sed 's/INSERT INTO/INSERT OR IGNORE INTO/g' | sqlite3 merged.db
sqlite3 merged.db < regenerate_auxiliary_tables.sql
Requirements
- Go (see
go.modfor the toolchain version) to build. - Linux for production use (ZFS snapshots,
statfsfree-space checks,posix_fadvisehints). - The
sqlite3andzstdmt(multithreaded zstd) binaries onPATH;zstdcatis used for verification. SQLite reads/writes during extraction use the pure-Gomodernc.org/sqlitedriver, so no cgo is required for that part.
Configuration
Operational parameters are compile-time constants in
internal/bsdaily/config.go:
SnapshotBase—/srv/berlin.sneak.fs.blueskyarchive/.zfs/snapshotTmpBase—/srv/storage/tmp(fast scratch space for copies + per-day DBs)DailiesBase—/srv/berlin.sneak.fs.bluesky-dailies(output root)MinTmpFreeGB/MinDailiesFreeGB—500/20zstdCompressionLevel—15sqliteCacheSizeKB—200000(≈200MB)
These are tuned for one specific production host; adjust and rebuild to run elsewhere.
Data Model
The firehose schema (reference copy in schema.sql) centers
on a posts table, with users keyed by DID and many-to-many junction
tables linking posts to deduplicated hashtags and urls. An optional
media table tracks downloaded blobs by content hash. bsdaily does not
own this schema; it reflects whatever DDL exists in the source snapshot and
selects forward from posts along the foreign-key relationships to produce a
referentially-complete per-day slice.
Use Cases
Daily public archive
Publish one small, immutable file per day to static HTTP (or IPFS, or a mirror network) so that anyone can fetch exactly the day(s) they want and re-merge them locally.
Backfilling a range
Run --from/--to over a span of dates to (re)generate any missing daily
dumps; already-published days are skipped, so the operation is resumable and
safe to re-run.
Reconstituting a full database
Collect any set of daily dumps and merge them with INSERT OR IGNORE to
rebuild a complete, queryable SQLite database, then regenerate the aggregate
statistics tables.
See Also
Links
- Repo: https://git.eeqj.de/sneak/bsdaily
- Issues: https://git.eeqj.de/sneak/bsdaily/issues
- Bluesky: https://bsky.app
- zstd: https://facebook.github.io/zstd/