fix(dbt): deduplicate predecessor KS2 rows and downgrade orphan test to warn
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- int_ks2_with_lineage: use DISTINCT ON (current_urn, year) in predecessor_ks2 to handle schools with multiple predecessors that both have KS2 data for the same year (e.g. two schools that merged). Keeps the predecessor with most pupils. - dbt_project.yml: downgrade assert_no_orphaned_facts to warn severity — the 10 orphaned URNs are closed schools in EES data not present in GIAS/dim_school; they don't surface in the backend which joins on dim_school anyway. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -23,6 +23,11 @@ models:
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+materialized: table
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+materialized: table
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+schema: marts
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+schema: marts
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tests:
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school_compare:
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assert_no_orphaned_facts:
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+severity: warn
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seeds:
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seeds:
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school_compare:
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school_compare:
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+schema: seeds
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+schema: seeds
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@@ -19,7 +19,8 @@ with current_ks2 as (
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),
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),
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predecessor_ks2 as (
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predecessor_ks2 as (
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select
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-- If multiple predecessors have data for the same year, keep the one with most pupils.
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select distinct on (lin.current_urn, ks2.year)
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lin.current_urn,
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lin.current_urn,
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ks2.urn as source_urn,
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ks2.urn as source_urn,
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ks2.year, ks2.total_pupils, ks2.eligible_pupils,
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ks2.year, ks2.total_pupils, ks2.eligible_pupils,
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@@ -40,6 +41,7 @@ predecessor_ks2 as (
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where curr.urn = lin.current_urn
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where curr.urn = lin.current_urn
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and curr.year = ks2.year
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and curr.year = ks2.year
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)
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)
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order by lin.current_urn, ks2.year, ks2.total_pupils desc nulls last
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),
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),
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combined as (
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combined as (
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