30 lines
1.4 KiB
MySQL
30 lines
1.4 KiB
MySQL
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{{ 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('customers_ab1') }}
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select
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cast(_id as {{ dbt_utils.type_string() }}) as _id,
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cast(info as {{ dbt_utils.type_string() }}) as info,
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cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
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cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
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cast(email as {{ dbt_utils.type_string() }}) as email,
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cast(phone as {{ dbt_utils.type_string() }}) as phone,
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cast({{ adapter.quote('source') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('source') }},
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{{ adapter.quote('location') }},
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cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
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{{ cast_to_boolean('isdeleted') }} as isdeleted,
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cast(statistic as {{ dbt_utils.type_string() }}) as statistic,
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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('customers_ab1') }}
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-- customers
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where 1 = 1
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