Federation foundation + HNSW trial system + Postgres streaming + PRD reframe
Four shipped features and a PRD realignment, all measured end-to-end:
HNSW trial system (Phase 15 horizon item → complete)
- vectord: EmbeddingCache, harness (eval sets + brute-force ground truth),
TrialJournal, parameterized HnswConfig on build_index_with_config
- /vectors/hnsw/trial, /hnsw/trials/{idx}, /hnsw/trials/{idx}/best,
/hnsw/evals/{name}/autogen, /hnsw/cache/stats
- Measured on resumes_100k_v2 (100K × 768d): brute-force 44ms -> HNSW 873us
at 100% recall@10. ec=80 es=30 locked as HnswConfig::default()
- Lower ec values trade recall for build time: 20/30 = 0.96 recall in 8s,
80/30 = 1.00 recall in 230s
Catalog manifest repair
- catalogd: resync_from_parquet reads parquet footers to restore row_count
and columns on drifted manifests
- POST /catalog/datasets/{name}/resync + POST /catalog/resync-missing
- All 7 staffing tables recovered to PRD-matching 2,469,278 rows
Federation foundation (ADR-017)
- shared::secrets: SecretsProvider trait + FileSecretsProvider (reads
/etc/lakehouse/secrets.toml, enforces 0600 perms)
- storaged::registry::BucketRegistry — multi-bucket resolution with
rescue_bucket read fallback and reachability probing
- storaged::error_journal — bucket op failures visible in one HTTP call
- storaged::append_log — write-once batched append pattern (fixes the RMW
anti-pattern llms3.com calls out; errors and trial journals both use it)
- /storage/buckets, /storage/errors, /storage/bucket-health,
/storage/errors/{flush,compact}
- Bucket-aware I/O at /storage/buckets/{bucket}/objects/{*key} with
X-Lakehouse-Rescue-Used observability headers on fallback
Postgres streaming ingest
- ingestd::pg_stream: DSN parser, batched ORDER BY + LIMIT/OFFSET pagination
into ArrowWriter, lineage redacts password
- POST /ingest/db — verified against live knowledge_base.team_runs
(586 rows × 13 cols, 6 batches, 196ms end-to-end)
PRD realignment (2026-04-16)
- Dual use case: staffing analytics + local LLM knowledge substrate
- Removed "multi-tenancy (single-owner system)" from non-goals
- Added invariants 8-11: indexes hot-swappable, per-reader profiles,
trials-as-data, operational failures findable in one HTTP call
- New phases 16 (hot-swap generations), 17 (model profiles + dataset
bindings), 18 (Lance vs Parquet+sidecar evaluation)
- Known ceilings table documents the 5M vector wall and escape hatches
- ADR-017 (federation), ADR-018 (append-log pattern) added
- EXECUTION_PLAN.md sequences phases B-E with success gates and
decision rules
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -140,6 +140,108 @@ impl Registry {
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datasets.values().cloned().collect()
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}
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/// Re-read the parquet footer(s) for a dataset and repopulate `row_count`
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/// and `columns` from reality. Use this to repair manifests whose
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/// metadata was lost (e.g. migrated from a pre-Phase 10 catalog).
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///
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/// Does NOT touch owner/description/sensitivity/lineage/tags — only
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/// the structural facts that parquet can tell us authoritatively.
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/// The existing `schema_fingerprint` is updated if the recomputed one
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/// differs; a warning is logged so drift is visible.
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pub async fn resync_from_parquet(&self, name: &str) -> Result<DatasetManifest, String> {
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use shared::arrow_helpers::{fingerprint_schema, parquet_to_record_batches};
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// Snapshot the target manifest so we don't hold the write lock during IO.
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let (id, objects, old_fp) = {
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let datasets = self.datasets.read().await;
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let m = datasets
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.values()
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.find(|d| d.name == name)
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.ok_or_else(|| format!("dataset not found: {name}"))?;
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(m.id.clone(), m.objects.clone(), m.schema_fingerprint.clone())
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};
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if objects.is_empty() {
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return Err(format!("dataset '{name}' has no object references to resync from"));
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}
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let mut total_rows: u64 = 0;
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let mut first_schema: Option<arrow::datatypes::SchemaRef> = None;
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for obj in &objects {
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let data = ops::get(&self.store, &obj.key).await
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.map_err(|e| format!("read {}: {e}", obj.key))?;
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let (schema, batches) = parquet_to_record_batches(&data)
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.map_err(|e| format!("parse {}: {e}", obj.key))?;
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let rows: u64 = batches.iter().map(|b| b.num_rows() as u64).sum();
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total_rows += rows;
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if first_schema.is_none() {
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first_schema = Some(schema);
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}
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}
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let schema = first_schema.ok_or("no schema recovered")?;
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let new_fp = fingerprint_schema(&schema);
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if new_fp != old_fp {
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tracing::warn!(
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"dataset '{}' schema fingerprint drift: {} -> {} (updating to match parquet reality)",
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name, old_fp.0, new_fp.0,
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);
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}
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let columns: Vec<ColumnMeta> = schema
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.fields()
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.iter()
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.map(|f| ColumnMeta {
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name: f.name().clone(),
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data_type: f.data_type().to_string(),
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sensitivity: None,
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description: String::new(),
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is_pii: false,
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})
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.collect();
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// Apply updates.
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let mut datasets = self.datasets.write().await;
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let manifest = datasets
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.get_mut(&id)
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.ok_or_else(|| format!("dataset disappeared during resync: {name}"))?;
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manifest.row_count = Some(total_rows);
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manifest.columns = columns;
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manifest.schema_fingerprint = new_fp;
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manifest.updated_at = chrono::Utc::now();
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// Persist.
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let manifest_key = format!("{MANIFEST_PREFIX}/{}.json", manifest.id);
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let json = serde_json::to_vec_pretty(manifest).map_err(|e| e.to_string())?;
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ops::put(&self.store, &manifest_key, json.into()).await?;
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tracing::info!("resynced '{name}': row_count={total_rows}, {} columns", manifest.columns.len());
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Ok(manifest.clone())
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}
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/// Resync every dataset that currently has a null row_count.
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/// Returns (successes, failures) where each entry is (name, detail).
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pub async fn resync_missing(&self) -> (Vec<(String, u64)>, Vec<(String, String)>) {
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let names: Vec<String> = {
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let datasets = self.datasets.read().await;
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datasets
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.values()
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.filter(|d| d.row_count.is_none() || d.columns.is_empty())
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.map(|d| d.name.clone())
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.collect()
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};
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let mut ok = Vec::new();
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let mut err = Vec::new();
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for name in names {
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match self.resync_from_parquet(&name).await {
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Ok(m) => ok.push((name, m.row_count.unwrap_or(0))),
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Err(e) => err.push((name, e)),
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}
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}
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(ok, err)
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}
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/// Add objects to an existing dataset.
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pub async fn add_objects(
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&self,
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@@ -19,6 +19,8 @@ pub fn router(registry: Registry) -> Router {
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.route("/datasets/{id}", get(get_dataset))
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.route("/datasets/by-name/{name}", get(get_dataset_by_name))
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.route("/datasets/by-name/{name}/metadata", post(update_metadata))
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.route("/datasets/by-name/{name}/resync", post(resync_dataset))
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.route("/resync-missing", post(resync_all_missing))
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.with_state(registry)
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}
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@@ -152,3 +154,43 @@ async fn update_metadata(
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Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
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}
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}
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/// Re-read parquet footers for a single dataset and repopulate row_count
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/// and columns from reality. Useful for repairing manifests whose metadata
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/// was lost or never backfilled.
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async fn resync_dataset(
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State(registry): State<Registry>,
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Path(name): Path<String>,
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) -> impl IntoResponse {
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match registry.resync_from_parquet(&name).await {
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Ok(manifest) => Ok(Json(DatasetResponse::from(&manifest))),
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Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
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}
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}
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#[derive(Serialize)]
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struct ResyncAllResponse {
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succeeded: Vec<ResyncOk>,
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failed: Vec<ResyncErr>,
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}
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#[derive(Serialize)]
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struct ResyncOk {
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name: String,
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row_count: u64,
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}
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#[derive(Serialize)]
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struct ResyncErr {
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name: String,
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error: String,
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}
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/// Resync every dataset that currently has null row_count or empty columns.
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async fn resync_all_missing(State(registry): State<Registry>) -> impl IntoResponse {
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let (ok, err) = registry.resync_missing().await;
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Json(ResyncAllResponse {
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succeeded: ok.into_iter().map(|(name, row_count)| ResyncOk { name, row_count }).collect(),
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failed: err.into_iter().map(|(name, error)| ResyncErr { name, error }).collect(),
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})
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}
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