{{ config( indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}], unique_key = '_airbyte_ab_id', schema = "_airbyte_unibag", tags = [ "top-level-intermediate" ] ) }} -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type -- depends_on: {{ ref('cash_flows_ab1') }} select cast(_id as {{ dbt_utils.type_string() }}) as _id, cast(hash as {{ dbt_utils.type_string() }}) as hash, cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }}, cast({{ adapter.quote('value') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('value') }}, cast({{ adapter.quote('action') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('action') }}, cast({{ adapter.quote('options') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('options') }}, cast(category as {{ dbt_utils.type_string() }}) as category, cast(targetid as {{ dbt_utils.type_string() }}) as targetid, cast(createdat as {{ dbt_utils.type_string() }}) as createdat, {{ cast_to_boolean('isaudited') }} as isaudited, cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat, cast(newbalance as {{ dbt_utils.type_float() }}) as newbalance, cast(oldbalance as {{ dbt_utils.type_float() }}) as oldbalance, cast(targettype as {{ dbt_utils.type_string() }}) as targettype, {{ cast_to_boolean('isprocessed') }} as isprocessed, cast(processstatus as {{ dbt_utils.type_string() }}) as processstatus, _airbyte_ab_id, _airbyte_emitted_at, {{ current_timestamp() }} as _airbyte_normalized_at from {{ ref('cash_flows_ab1') }} -- cash_flows where 1 = 1