Replace the per-cell parquet cache with TimescaleDB hypertables as the production backend for the raw daily climate record, and drop pg_duckdb. Parquet stays the backend whenever THERMOGRAPH_DATABASE_URL is not a Postgres URL (dev, tests, offline tooling), the same dialect switch the accounts DB and derived store already use, so CI stays Postgres-free. - data/climate_store.py: psycopg + polars bridge over climate_history (a hypertable), climate_recent, and climate_sync (per-cell freshness). Reads via pl.read_database, writes via COPY + ON CONFLICT upsert; fail-soft to a cache miss so a DB hiccup degrades to upstream refetch. - data/climate.py: route every cache/mtime touchpoint through a backend dispatch. recent_stamp becomes int(recent_synced_at) on Postgres; the stale-serve path still avoids bumping it, so derived-payload tokens invalidate on exactly the same events as before. - alembic 0002: CREATE EXTENSION timescaledb plus the hypertable schema (compression policy on year-old chunks), guarded to no-op off Postgres. - migrate_cache_to_pg.py (make migrate-cache): idempotent backfill of the parquet cache into the hypertables, preserving file mtimes as sync timestamps so recent_stamp is unchanged across cutover. - db image -> stock timescale/timescaledb:latest-pg18; drop the custom pg_duckdb Dockerfile, the read-only /parquet mount, and the duckdb tuning GUC. Docs updated for the new backend and cutover. Co-authored-by: Claude <noreply@anthropic.com>
62 lines
3 KiB
Bash
Executable file
62 lines
3 KiB
Bash
Executable file
#!/bin/bash
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# Postgres memory / performance tuning, scaled to the container's DB_MEMORY budget so
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# the same init serves every host (beta 8g; prod 16g on the 48 GB box) with no
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# hardcoding. Runs once on a fresh data volume from /docker-entrypoint-initdb.d, after
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# 10-timescaledb.sql enables timescaledb. Settings are written via ALTER SYSTEM
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# (persisted to postgresql.auto.conf, which the timescaledb image's own
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# timescaledb-tune postgresql.conf defers to); the container's post-init restart brings
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# restart-only settings (shared_buffers, …) into effect. NB: never ALTER SYSTEM SET
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# shared_preload_libraries here — that would land in auto.conf and override the image's
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# `timescaledb` preload. Init scripts do NOT re-run on an existing volume — to
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# re-tune later, set DB_MEMORY and run this by hand, then restart:
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# docker compose exec -e DB_MEMORY=16g db bash /docker-entrypoint-initdb.d/20-tuning.sh
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# docker compose restart db
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set -euo pipefail
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# Parse DB_MEMORY ("16g" / "8192m" / plain MB) into whole MB; default + floor at 8 GB.
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budget="${DB_MEMORY:-8g}"
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num="${budget//[!0-9]/}"
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num="${num:-8}"
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unit="$(printf '%s' "$budget" | tr -dc '[:alpha:]' | tr '[:upper:]' '[:lower:]')"
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case "$unit" in
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g | gb) mb=$((num * 1024)) ;;
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m | mb | "") mb="$num" ;;
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*) mb=8192 ;;
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esac
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if [ "$mb" -lt 1024 ]; then mb=8192; fi
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# Derive settings from the budget. The ratios reproduce the historical 8 GB tuning
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# (shared_buffers 2 GB, effective_cache_size 6 GB, work_mem 64 MB,
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# maintenance_work_mem 512 MB) and scale linearly on a bigger box.
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shared_buffers=$((mb / 4)) # 25% — the shared page cache
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effective_cache=$((mb * 3 / 4)) # 75% — planner's view of total cache (PG + OS)
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work_mem=$((mb / 128)) # ~64 MB at 8 GB (per-operation; kept modest)
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if [ "$work_mem" -lt 16 ]; then work_mem=16; fi
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maint_mem=$((mb / 16)) # 512 MB at 8 GB — index builds / VACUUM
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echo "[tuning] DB_MEMORY=${budget} -> ${mb}MB: shared_buffers=${shared_buffers}MB" \
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"effective_cache_size=${effective_cache}MB work_mem=${work_mem}MB" \
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"maintenance_work_mem=${maint_mem}MB"
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psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<SQL
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-- Caching: the shared page cache, and the planner's view of total cache (PG + OS).
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ALTER SYSTEM SET shared_buffers = '${shared_buffers}MB';
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ALTER SYSTEM SET effective_cache_size = '${effective_cache}MB';
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-- Processing: per-operation sort/hash memory, and maintenance (index builds, VACUUM).
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ALTER SYSTEM SET work_mem = '${work_mem}MB';
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ALTER SYSTEM SET maintenance_work_mem = '${maint_mem}MB';
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-- Write throughput: fewer, larger checkpoints.
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ALTER SYSTEM SET wal_buffers = '16MB';
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ALTER SYSTEM SET min_wal_size = '1GB';
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ALTER SYSTEM SET max_wal_size = '4GB';
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ALTER SYSTEM SET checkpoint_completion_target = 0.9;
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-- SSD-friendly planner + IO concurrency.
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ALTER SYSTEM SET random_page_cost = 1.1;
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ALTER SYSTEM SET effective_io_concurrency = 200;
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-- Room for parallel scans/aggregates on the bigger analytic queries.
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ALTER SYSTEM SET max_parallel_workers_per_gather = 2;
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SQL
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