Files
Aether/crates/aether-data/runtime/schema
elky cb7b9c9ecd feat: unify user analytics and optimize overview aggregation
Merge user accounts and usage reporting into one page with a combined ranking and account table, shared precise time ranges, and simpler range labels.

Parse overview metadata once through a schema-only view migration and disable JIT locally for bucket rebuilds. Preserve automatic backfills.

Add redacted OAuth refresh diagnostics, bucket failure context, and regression coverage. Resolve strict Clippy warnings.
2026-10-05 00:28:31 +08:00
..
2026-10-02 11:57:18 +08:00
2026-10-02 11:57:18 +08:00

Aether Schema Source

This directory is the schema maintenance workspace. Executable migrations are owned by the Postgres adapter under ../../adapters/. The Postgres bootstrap snapshot is compiled from the source fragments here during aether-data builds, so there is no checked-in bootstrap artifact.

The maintenance flow is:

bash crates/aether-data/runtime/schema/compose_schema.sh generate
bash crates/aether-data/runtime/schema/compose_schema.sh compose
bash crates/aether-data/runtime/schema/compose_schema.sh check
  • generate renders logical/*.toml through aether-data-schema into generated/postgres. This is a build output, not another SQL source to maintain.
  • compose rewrites the executable SQL from the manifest order.
  • check verifies generated output is current, confirms the bootstrap source fragments still compose cleanly, and diffs each executable migration manifest against the checked-in SQL.
  • split regenerates fragments from the executable SQL and is mostly for rebaselining after a deliberate bulk rewrite.

What To Edit

The schema workspace has three normal source areas:

Path Role Edit policy
logical/*.toml Long-term logical table model shared by all SQL drivers. Edit first for portable table-shape changes.
drivers/postgres/ Current maintenance fragments for executable SQL. Edit only for deployment compatibility, ordering, or generator gaps.
bootstrap/postgres/ Source fragments for the Postgres empty-database bootstrap snapshot. Edit here when the bootstrap snapshot changes, then rebuild aether-data so build.rs regenerates the embedded snapshot.

Generated schema and the composed baseline are outputs:

Path Role Edit policy
generated/postgres/ Machine-written SQL emitted from logical/*.toml for audit and drift detection. Do not edit; regenerate with compose_schema.sh generate.
../../adapters/postgres/migrations/20260403000000_baseline.sql Composed PostgreSQL baseline embedded by the adapter. Regenerate through compose_schema.sh compose; do not edit independently.

Later incremental migrations are maintained directly under ../../adapters/postgres/migrations/; they have no compose target. Add a new version for an upgrade and preserve the checksums of already-applied scripts. Keep any corresponding maintained bootstrap definitions in sync.

generated/** is deliberately checked in so reviews and CI can see exactly what the logical schema compiler emits for each driver. It is not a fourth SQL source of truth, and runtime code never loads migrations from it.

overrides/ is an exception bucket, not a regular source tree. Keep it empty except for its README until a real driver-specific SQL file is needed and added to a manifest.

The generator can also be called directly:

cargo run -p aether-data-schema --bin aether-schema -- check
cargo run -p aether-data-schema --bin aether-schema -- generate
cargo run -p aether-data-schema --bin aether-schema -- print --driver postgres

Logical Schema

logical/*.toml is the long-term source for table definitions. It covers the PostgreSQL baseline table set. The generator emits driver-specific SQL under generated/; those files include a directory README plus Do not edit headers and should only change through compose_schema.sh generate.

compose_schema.sh check enforces two things:

  • generated SQL must match the current logical TOML source
  • bootstrap source fragments must still compose cleanly for the runtime build
  • required executable SQL tables must have logical definitions, so new portable tables cannot bypass the single-maintenance-source path

The migration path is incremental:

  1. Add a table/domain to logical/*.toml.
  2. Run compose_schema.sh generate.
  3. Compare generated SQL to the current driver fragments.
  4. Promote generated output into driver fragments only when that domain is intentionally ready to stop being handwritten.
  5. Keep driver-specific special cases in explicit override fragments under overrides/ only when they cannot live cleanly in a driver fragment.
  6. Once a domain matches, move its baseline maintenance to generated output.

The existing drivers/postgres fragment trees remain authoritative for executable migrations until a generated fragment is deliberately promoted.

overrides/ is reserved for rare driver-specific SQL that cannot be represented by logical schema or the normal driver fragments. Keep it small and explicit.

Targets

Target Executable SQL Source manifest
Postgres baseline ../../adapters/postgres/migrations/20260403000000_baseline.sql drivers/postgres/baseline/manifest.txt
Postgres empty-database snapshot aether-data build output (OUT_DIR/empty_database_snapshot.sql) bootstrap/postgres/manifest.txt

Driver baseline source manifests are kept as a small set of numbered SQL fragments. Postgres uses execution-phase fragments so the pg_dump ordering remains byte-for-byte stable when composed:

  • 001_types_and_tables.sql
  • 002_defaults.sql
  • 003_constraints.sql
  • 004_indexes.sql
  • 005_foreign_keys.sql
  • 006_footer.sql
  • 100_* extension files for empty-database snapshot-only additions

The Rust migration tests compose these manifests too, so fragment drift is caught during cargo test -p aether-data split_baseline_sources_match_executable_migrations.

Statistics Migrations

The statistics release retains its applied migration history and includes incremental upgrades for databases that ran the earlier overview and dashboard definitions. Concurrent index operations remain separate because PostgreSQL cannot run them inside a transaction.

Version Change
20260911000000 Overview facts, attribution, aggregate tables, and transaction-owned dirty-event queue. Attribution indexes are created while the new table is empty.
20260917000000 Original account-attribution migration, retained byte-for-byte for databases that already applied it.
20260917000100 Upgrade the original attribution trigger to the dirty-event queue before later concurrent index builds.
20260918000000 Create the replacement settlement covering index concurrently.
20260918000100 Drop the previous settlement covering index concurrently, after its replacement succeeds.
20260919000000 Dashboard aggregates, activation boundary, and retention support.
20260920000000 Create the credited-payment lookup index concurrently.
20260920120000 Provider expense records.
20260921010000 Add retention support to existing dashboard schemas; safe when the initial dashboard migration already includes it.
20260921020000 Add the attribution-owner lookup index concurrently on existing databases.
20260921020100 Create the usage metadata actor index concurrently.
20261001000000 Remove deleted-user attribution from dashboard activity on future user deletion; schema-only upgrade without rewriting historical rows.
20261004000000 Parse request metadata once per overview fact; replace only the view definition without rewriting facts or statistics.

Do not remove an applied migration after folding its changes into an earlier schema definition. Existing databases retain its version in _sqlx_migrations and do not rerun earlier versions when their SQL changes. Preserve that history and provide incremental migrations for any remaining schema differences.

These migrations do not backfill historical requests. Dashboard totals start at the stored activation boundary. Background maintenance compacts dashboard minute details older than 35 days in bounded batches, preserving cumulative totals and the narrow activity counts; it does not delete source usage. JSONL backups include the dashboard snapshot and its integrity manifest so retained totals can survive restoration after source usage has expired.

Schema migrations and historical backfills remain separate phases. Normal auto startup and db prepare still apply pending scripts from backfills/postgres after schema migration; verify-only still requires both phases to be current. The statistics schema migrations above do not embed a historical data rebuild. The new dashboard's activation boundary is not moved by legacy backfills, so they do not restore pre-activation dashboard totals.

Deleted users are excluded from dashboard active-user reads even when an older version left orphan activity rows. The anonymization upgrade installs rules for future deletions without cleaning old rows during migration; those old activity rows age out through the existing 35-day retention task.

The overview worker can still rebuild a historical hour/day when normal writes change facts in that bucket. That work runs after startup with bounded batches and query deadlines; it is not a full historical rebuild during migration.

The migration runner defaults to a 1-second lock wait, a 10-second deadline per transactional migration, and a 15-minute deadline per concurrent index migration. Timeouts are configurable through AETHER_POSTGRES_MIGRATION_LOCK_TIMEOUT_MS, AETHER_POSTGRES_MIGRATION_TIMEOUT_MS, and AETHER_POSTGRES_MIGRATION_CONCURRENT_TIMEOUT_MS; none accepts zero. An independent control connection attempts to terminate the migration session on failure or cancellation. An interrupted concurrent index build can leave an invalid index; the runner removes that index before retrying its migration.

For Compose deployments, update.sh applies schema migrations with the new image before replacing the running app. A migration failure stops the update; already committed migrations remain applied. Its local-build mode delegates to deploy.sh and does not use this separate migration step. Allow for brief table locks and I/O pressure from concurrent index scans during the upgrade. Keeping historical backfills out of schema migrations does not make index creation constant-time: concurrent indexes still scan existing rows and can take minutes on a large database. The existing app stays running during the Compose migration preflight.