dbt-selly/models/generated/airbyte_ctes/unibag/user_courses_ab1.sql

24 lines
1.2 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_user_courses') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['user'], ['user']) }} as {{ adapter.quote('user') }},
{{ json_extract_scalar('_airbyte_data', ['course'], ['course']) }} as course,
{{ json_extract_scalar('_airbyte_data', ['hoolaId'], ['hoolaId']) }} as hoolaid,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['academyAccount'], ['academyAccount']) }} as academyaccount,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_user_courses') }} as table_alias
-- user_courses
where 1 = 1