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scenario: us_mortgage
generated_from: dependency_graph.jsonl (audited, join-spine-repaired)
note: 'every join here was executed against duckdb: it returns rows. `join: via` means a two-hop path through `via.table`; use the `sql` field
verbatim.'
n_joins: 2
joins:
- left_table: dim_geography
left_col: county_code
right_table: origination_hmda
right_col: county_fips
type: CROSSWALK_JOIN
join: via
via:
table: xw_ny_county_fips
left_col: county_code
right_col: county_fips
left_cov: 1.0
right_cov: 1.0
two_hop_left_cov: 1.0
strength: high
key_coverage: 0.0
sql: "SELECT * FROM \"dim_geography\" a\n JOIN \"xw_ny_county_fips\" x ON CAST(a.\"county_code\" AS VARCHAR) = CAST(x.\"county_code\" AS VARCHAR)\n\
\ JOIN \"origination_hmda\" b ON CAST(x.\"county_fips\" AS VARCHAR) = CAST(b.\"county_fips\" AS VARCHAR)"
- left_table: origination_hmda
left_col: county_name
right_table: dim_geography
right_col: county_code
type: CROSSWALK_JOIN
join: via
via:
table: xw_ny_county_fips
left_col: county_name
right_col: county_code
left_cov: 0.9841
right_cov: 1.0
two_hop_left_cov: 0.9841
strength: medium
key_coverage: 0.0
sql: "SELECT * FROM \"origination_hmda\" a\n JOIN \"xw_ny_county_fips\" x ON CAST(a.\"county_name\" AS VARCHAR) = CAST(x.\"county_name\" AS\
\ VARCHAR)\n JOIN \"dim_geography\" b ON CAST(x.\"county_code\" AS VARCHAR) = CAST(b.\"county_code\" AS VARCHAR)"