fix(docs): fix formatting issues in README.md
- 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
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docs/specs_old/13_export_postgresql.md
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# Task 13 — Export: PostgreSQL
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## Goal
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System-of-record load package: DDL + COPY-based bulk load (per ADR ingestion path).
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## Input
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- `canonical/` snapshot, `schema/ddl_postgresql.sql`.
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## Actions
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1. Generate `exports/postgresql/`:
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- `01_schema.sql` (DDL, versioned);
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- `02_lookups.sql` (atmospheres, measurement_types, column_definitions, instruments);
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- per-table CSV staging files from canonical (streamed);
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- `03_copy_load.sql` (`\copy` statements in dependency order);
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- `04_post_load.sql` (indexes, constraints validation, ANALYZE);
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- `load.sh` / `load.ps1` orchestration.
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2. Point tables loaded via COPY; headers via INSERT; partitioning DDL for `friction_data_points` per Phase-1 volume estimates.
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3. Include `lineage` table load (row-range granularity).
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## Intermediate Result (done when)
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- Package executes cleanly on an empty database (test locally if a PG instance is available; otherwise dry-validate SQL syntax).
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- Post-load counts script confirms parity with canonical. `EXPORT_MANIFEST.json` written.
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