30 lines
1.3 KiB
SQL
30 lines
1.3 KiB
SQL
{{ config(
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indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
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unique_key = '_airbyte_ab_id',
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schema = "_airbyte_unibag",
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tags = [ "top-level-intermediate" ]
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) }}
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-- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
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-- depends_on: {{ ref('districts_ab1') }}
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select
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cast(_id as {{ dbt_utils.type_string() }}) as _id,
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cast(city as {{ dbt_utils.type_string() }}) as city,
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cast(code as {{ dbt_utils.type_float() }}) as code,
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cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
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cast(slug as {{ dbt_utils.type_string() }}) as slug,
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cast(tncid as {{ dbt_utils.type_float() }}) as tncid,
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cast(cityid as {{ dbt_utils.type_float() }}) as cityid,
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cast({{ adapter.quote('source') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('source') }},
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cast(tnccode as {{ dbt_utils.type_string() }}) as tnccode,
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cast(gidocode as {{ dbt_utils.type_float() }}) as gidocode,
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cast(osirisid as {{ dbt_utils.type_float() }}) as osirisid,
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cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
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cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
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_airbyte_ab_id,
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_airbyte_emitted_at,
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{{ current_timestamp() }} as _airbyte_normalized_at
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from {{ ref('districts_ab1') }}
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-- districts
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where 1 = 1
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