dbt-selly/models/generated/airbyte_ctes/unibag/event_rewards_ab1.sql

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MySQL
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{{ 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_event_rewards') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['cash'], ['cash']) }} as cash,
{{ json_extract_scalar('_airbyte_data', ['type'], ['type']) }} as {{ adapter.quote('type') }},
{{ json_extract_scalar('_airbyte_data', ['user'], ['user']) }} as {{ adapter.quote('user') }},
{{ json_extract_scalar('_airbyte_data', ['event'], ['event']) }} as {{ adapter.quote('event') }},
{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
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{{ json_extract('table_alias', '_airbyte_data', ['options'], ['options']) }} as {{ adapter.quote('options') }},
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{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['updatedat'], ['updatedat']) }} as updatedat,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_event_rewards') }} as table_alias
-- event_rewards
where 1 = 1