sneak a256b83734
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Fix errcheck lint failures with proper error handling
Handle every error return flagged by golangci-lint's errcheck rather
than discarding it:

- run.go: add a cleanup() helper that logs a warning (and ignores
  ErrNotExist) when removing a temp file fails, so leaked scratch files
  are surfaced; use it for all best-effort removals.
- copy.go / extract.go: log a warning on deferred Close() failures for
  the source file, destination DB, and result-set rows.
- extract.go: on the rollback path, ignore the benign sql.ErrTxDone
  (already committed) and log any other rollback failure.
- verify.go: add killCat() which ignores os.ErrProcessDone (zstdcat
  already exited via SIGPIPE) and logs any unexpected kill failure.

make check is clean (0 lint issues, tests pass).
2026-06-28 10:25:47 +02:00
2026-02-09 01:18:16 -08:00
2026-06-28 09:42:31 +02:00
2026-06-28 09:42:31 +02:00
2026-06-28 09:42:31 +02:00
2026-02-09 00:42:06 -08:00

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_fadvise sequential/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. bsdaily operates 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.sql is included for reference only. bsdaily copies 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:

  1. Find the snapshot. Scan SnapshotBase for directories matching zfs-auto-snap_daily-YYYY-MM-DD-NNNN, pick the most recent, and confirm it contains firehose.db.
  2. Determine target days. Default to the snapshot date minus one day; or use --date, or every day in the inclusive --from/--to range.
  3. Preflight disk space. Require at least 500GiB free on the scratch filesystem and 20GiB free on the output filesystem.
  4. Copy the database to scratch. Copy firehose.db, its -wal, and (if present) its -shm from the snapshot into a fresh temp directory under TmpBase.
  5. Per day, processed strictly one at a time to avoid SQLite contention:
    • skip the day if its final output file already exists;
    • ATTACH the copied source DB to a new empty per-day DB, recreate the table DDL, and INSERT ... SELECT the target day's posts plus all rows reachable from them (posts_hashtags, posts_urls, hashtags, urls, users, and media if 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 | zstdmt into 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.
  6. 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.mod for the toolchain version) to build.
  • Linux for production use (ZFS snapshots, statfs free-space checks, posix_fadvise hints).
  • The sqlite3 and zstdmt (multithreaded zstd) binaries on PATH; zstdcat is used for verification. SQLite reads/writes during extraction use the pure-Go modernc.org/sqlite driver, 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/snapshot
  • TmpBase/srv/storage/tmp (fast scratch space for copies + per-day DBs)
  • DailiesBase/srv/berlin.sneak.fs.bluesky-dailies (output root)
  • MinTmpFreeGB / MinDailiesFreeGB500 / 20
  • zstdCompressionLevel15
  • sqliteCacheSizeKB200000 (≈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

Authors

License

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