dbt-selly/models/generated/airbyte_ctes/unibag/order_items_ab1.sql

33 lines
2.0 KiB
SQL

{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
-- depends_on: {{ source('unibag', '_airbyte_raw_order_items') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract('table_alias', '_airbyte_data', ['sku'], ['sku']) }} as sku,
{{ json_extract_scalar('_airbyte_data', ['date'], ['date']) }} as {{ adapter.quote('date') }},
{{ json_extract_scalar('_airbyte_data', ['user'], ['user']) }} as {{ adapter.quote('user') }},
{{ json_extract_scalar('_airbyte_data', ['order'], ['order']) }} as {{ adapter.quote('order') }},
{{ json_extract('table_alias', '_airbyte_data', ['price'], ['price']) }} as price,
{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
{{ json_extract_scalar('_airbyte_data', ['product'], ['product']) }} as product,
{{ json_extract_scalar('_airbyte_data', ['customer'], ['customer']) }} as customer,
{{ json_extract_scalar('_airbyte_data', ['quantity'], ['quantity']) }} as quantity,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['totalSell'], ['totalSell']) }} as totalsell,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['cashbackAt'], ['cashbackAt']) }} as cashbackat,
{{ json_extract_scalar('_airbyte_data', ['totalPrice'], ['totalPrice']) }} as totalprice,
{{ json_extract_scalar('_airbyte_data', ['deliveredAt'], ['deliveredAt']) }} as deliveredat,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_order_items') }} as table_alias
-- order_items
where 1 = 1