dbt-selly/models/generated/airbyte_ctes/unibag/customers_ab1.sql

29 lines
1.7 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_customers') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract('table_alias', '_airbyte_data', ['info'], ['info']) }} as info,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['user'], ['user']) }} as {{ adapter.quote('user') }},
{{ json_extract_scalar('_airbyte_data', ['phone'], ['phone']) }} as phone,
{{ json_extract_scalar('_airbyte_data', ['source'], ['source']) }} as {{ adapter.quote('source') }},
{{ json_extract_array('_airbyte_data', ['location'], ['location']) }} as {{ adapter.quote('location') }},
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['isDeleted'], ['isDeleted']) }} as isdeleted,
{{ json_extract('table_alias', '_airbyte_data', ['statistic'], ['statistic']) }} as statistic,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_customers') }} as table_alias
-- customers
where 1 = 1