b173ac82a9
- adapt meta-/code-/obs- rules to the local Python benchmark pipeline - replace db-sql-ddl, code-config-env-scope, test-e2e-pytest with pipeline equivalents - add code-python-style, data-determinism, data-naming-units, bench-methodology, build-pipeline-tasks - normalize specs and README typography to ASCII per code-data-formatting - rewrite root CLAUDE.md trigger table; add .cursorrules and .gitignore - specs: pipeline plan and task specs 00-11 - rules: 19 binding rule files adapted for this project - docs: CLAUDE.md rule-trigger table - config: .cursorrules commit convention, .gitignore excluding out/ and .venv/ - docs: rewrite README.md with pipeline diagrams, setup guide, result placeholders - config: requirements.txt for the closed dependency list - datagen: make_lab_config.py writes out/config/lab_config.yaml and .done marker
1.0 KiB
1.0 KiB
Task 13 — Export: PostgreSQL
Goal
System-of-record load package: DDL + COPY-based bulk load (per ADR ingestion path).
Input
canonical/snapshot,schema/ddl_postgresql.sql.
Actions
- Generate
exports/postgresql/:01_schema.sql(DDL, versioned);02_lookups.sql(atmospheres, measurement_types, column_definitions, instruments);- per-table CSV staging files from canonical (streamed);
03_copy_load.sql(\copystatements in dependency order);04_post_load.sql(indexes, constraints validation, ANALYZE);load.sh/load.ps1orchestration.
- Point tables loaded via COPY; headers via INSERT; partitioning DDL for
friction_data_pointsper Phase-1 volume estimates. - Include
lineagetable load (row-range granularity).
Intermediate Result (done when)
- Package executes cleanly on an empty database (test locally if a PG instance is available; otherwise dry-validate SQL syntax).
- Post-load counts script confirms parity with canonical.
EXPORT_MANIFEST.jsonwritten.