4ae00b35d1
git mv all tracked files from the nested padelnomics/ workspace directory to the git repo root. Merged .gitignore files. No code changes — pure path rename. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
76 lines
2.0 KiB
SQL
76 lines
2.0 KiB
SQL
-- Deduplicated venue dimension combining OSM courts and Playtomic tenants.
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-- Venues from both sources are unioned; near-duplicates (within ~100m) are
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-- collapsed to a single record preferring Playtomic data (richer metadata).
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-- Proximity dedup uses haversine approximation: 1 degree lat ≈ 111 km.
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MODEL (
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name padelnomics.dim_venues,
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kind FULL,
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cron '@daily',
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grain venue_id
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);
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WITH all_venues AS (
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SELECT
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'osm:' || osm_id::TEXT AS venue_id,
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source,
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lat,
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lon,
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country_code,
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name,
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city,
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postcode,
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NULL AS tenant_type,
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extracted_date
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FROM padelnomics.stg_padel_courts
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WHERE country_code IS NOT NULL
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UNION ALL
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SELECT
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'pt:' || tenant_id AS venue_id,
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source,
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lat,
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lon,
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country_code,
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name,
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city,
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postcode,
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tenant_type,
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extracted_date
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FROM padelnomics.stg_playtomic_venues
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WHERE country_code IS NOT NULL
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),
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-- Rank venues so Playtomic records win ties in proximity dedup
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ranked AS (
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SELECT *,
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CASE source WHEN 'playtomic' THEN 1 ELSE 2 END AS source_rank
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FROM all_venues
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)
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-- Note: full proximity dedup (haversine clustering) is expensive in SQL.
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-- For now, deduplicate on exact (country_code, ROUND(lat,3), ROUND(lon,3))
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-- — ≈111m grid cells. Refine with spatial index if volumes grow.
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SELECT
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MIN(venue_id) OVER (
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PARTITION BY country_code, ROUND(lat, 3)::TEXT, ROUND(lon, 3)::TEXT
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ORDER BY source_rank
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) AS venue_id,
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country_code,
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lat,
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lon,
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COALESCE(
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MAX(CASE WHEN source = 'playtomic' THEN name END)
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OVER (PARTITION BY country_code, ROUND(lat,3)::TEXT, ROUND(lon,3)::TEXT),
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name
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) AS name,
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COALESCE(city, '') AS city,
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postcode,
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source,
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tenant_type,
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extracted_date
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FROM ranked
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QUALIFY ROW_NUMBER() OVER (
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PARTITION BY country_code, ROUND(lat, 3)::TEXT, ROUND(lon, 3)::TEXT
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ORDER BY source_rank
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) = 1
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