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Author SHA1 Message Date
Ubuntu dec59c30b0 update 2022-05-19 14:21:25 +07:00
Ubuntu f1faad9777 update 2022-05-19 13:58:25 +07:00
Ubuntu 1604aa8c9c updat 2022-04-20 06:50:28 +07:00
Ubuntu efe4c71688 update 2022-04-19 17:27:57 +07:00
143 changed files with 136 additions and 4358 deletions

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@ -7,4 +7,3 @@ run:
dbt deps --profiles-dir=. --project-dir=. dbt deps --profiles-dir=. --project-dir=.
#dbt run --profiles-dir=. --project-dir=. --full-refresh #dbt run --profiles-dir=. --project-dir=. --full-refresh
dbt run --profiles-dir=. --project-dir=. --full-refresh --select tracking_product_shares dbt run --profiles-dir=. --project-dir=. --full-refresh --select tracking_product_shares

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@ -1,45 +1,29 @@
# This file is necessary to install dbt-utils with dbt deps name: airbyte_utils
# the content will be overwritten by the transform function version: '1.0'
# Name your package! Package names should contain only lowercase characters
# and underscores. A good package name should reflect your organization's
# name or the intended use of these models
name: "airbyte_utils"
version: "1.0"
config-version: 2 config-version: 2
profile: normalize
# This setting configures which "profile" dbt uses for this project. Profiles contain model-paths:
# database connection information, and should be configured in the ~/.dbt/profiles.yml file - models
profile: "normalize" docs-paths:
- docs
# These configurations specify where dbt should look for different types of files. analysis-paths:
# The `model-paths` config, for example, states that source models can be found - analysis
# in the "models/" directory. You probably won't need to change these! test-paths:
model-paths: ["models"] - tests
docs-paths: ["docs"] seed-paths:
analysis-paths: ["analysis"] - data
test-paths: ["tests"] macro-paths:
seed-paths: ["data"] - macros
macro-paths: ["macros"] target-path: ../build
log-path: ../logs
target-path: "../build" # directory which will store compiled SQL files packages-install-path: ../dbt
log-path: "../logs" # directory which will store DBT logs clean-targets:
packages-install-path: "../dbt" # directory which will store external DBT dependencies - build
- dbt_modules
clean-targets: # directories to be removed by `dbt clean`
- "build"
- "dbt_modules"
quoting: quoting:
database: true database: true
# Temporarily disabling the behavior of the ExtendedNameTransformer on table/schema names, see (issue #1785)
# all schemas should be unquoted
schema: false schema: false
identifier: true identifier: true
# You can define configurations for models in the `model-paths` directory here.
# Using these configurations, you can enable or disable models, change how they
# are materialized, and more!
models: models:
airbyte_utils: airbyte_utils:
+materialized: table +materialized: table
@ -57,7 +41,15 @@ models:
airbyte_views: airbyte_views:
+tags: airbyte_internal_views +tags: airbyte_internal_views
+materialized: view +materialized: view
dispatch: dispatch:
- macro_namespace: dbt_utils - macro_namespace: dbt_utils
search_order: ["airbyte_utils", "dbt_utils"] search_order:
- airbyte_utils
- dbt_utils
vars:
json_column: _airbyte_data
models_to_source:
tracking_product_shares_ab1: unibag._airbyte_raw_tracking_product_shares
tracking_product_shares_ab2: unibag._airbyte_raw_tracking_product_shares
tracking_product_shares_ab3: unibag._airbyte_raw_tracking_product_shares
tracking_product_shares: unibag._airbyte_raw_tracking_product_shares

File diff suppressed because one or more lines are too long

14
macros/configuration.sql Normal file
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@ -0,0 +1,14 @@
{%- macro redshift_super_type() -%}
{%- if not execute -%}
{{ return("") }}
{%- endif -%}
{%- set table_schema, _, table_name = var("models_to_source")[this.identifier].partition(".") -%}
{%- call statement("get_column_type", fetch_result=True) -%}
select data_type from SVV_COLUMNS where table_name = '{{ table_name }}' and column_name = '{{ var("json_column") }}' and table_schema = '{{ table_schema }}';
{%- endcall -%}
{%- set column_type = load_result("get_column_type")["data"][0][0] -%}
{{ return(column_type == "super") }}
{%- endmacro -%}

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@ -104,8 +104,19 @@
{% macro default__unnest_cte(from_table, stream_name, column_col) -%}{%- endmacro %} {% macro default__unnest_cte(from_table, stream_name, column_col) -%}{%- endmacro %}
{# -- based on https://blog.getdbt.com/how-to-unnest-arrays-in-redshift/ #}
{% macro redshift__unnest_cte(from_table, stream_name, column_col) -%} {% macro redshift__unnest_cte(from_table, stream_name, column_col) -%}
{# -- based on https://docs.aws.amazon.com/redshift/latest/dg/query-super.html #}
{% if redshift_super_type() -%}
with joined as (
select
table_alias._airbyte_{{ stream_name }}_hashid as _airbyte_hashid,
_airbyte_nested_data
from {{ from_table }} as table_alias, table_alias.{{ column_col }} as _airbyte_nested_data
)
{%- else -%}
{# -- based on https://blog.getdbt.com/how-to-unnest-arrays-in-redshift/ #}
{%- if not execute -%} {%- if not execute -%}
{{ return('') }} {{ return('') }}
{% endif %} {% endif %}
@ -134,6 +145,7 @@ joined as (
-- to the number of items in {{ from_table }}.{{ column_col }} -- to the number of items in {{ from_table }}.{{ column_col }}
where numbers.generated_number <= json_array_length({{ column_col }}, true) where numbers.generated_number <= json_array_length({{ column_col }}, true)
) )
{%- endif %}
{%- endmacro %} {%- endmacro %}
{% macro mysql__unnest_cte(from_table, stream_name, column_col) -%} {% macro mysql__unnest_cte(from_table, stream_name, column_col) -%}

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@ -0,0 +1,16 @@
{% macro redshift__alter_column_type(relation, column_name, new_column_type) -%}
{%- set tmp_column = column_name + "__dbt_alter" -%}
{% call statement('alter_column_type') %}
alter table {{ relation }} add column {{ adapter.quote(tmp_column) }} {{ new_column_type }};
{% if new_column_type.lower() == "super" %}
update {{ relation }} set {{ adapter.quote(tmp_column) }} = JSON_PARSE({{ adapter.quote(column_name) }});
{% else %}
update {{ relation }} set {{ adapter.quote(tmp_column) }} = {{ adapter.quote(column_name) }};
{% endif %}
alter table {{ relation }} drop column {{ adapter.quote(column_name) }} cascade;
alter table {{ relation }} rename column {{ adapter.quote(tmp_column) }} to {{ adapter.quote(column_name) }}
{% endcall %}
{% endmacro %}

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@ -9,7 +9,11 @@
{% endmacro %} {% endmacro %}
{%- macro redshift__type_json() -%} {%- macro redshift__type_json() -%}
{%- if redshift_super_type() -%}
super
{%- else -%}
varchar varchar
{%- endif -%}
{%- endmacro -%} {%- endmacro -%}
{% macro postgres__type_json() %} {% macro postgres__type_json() %}
@ -29,7 +33,7 @@
{%- endmacro -%} {%- endmacro -%}
{%- macro sqlserver__type_json() -%} {%- macro sqlserver__type_json() -%}
VARCHAR(max) NVARCHAR(max)
{%- endmacro -%} {%- endmacro -%}
{% macro clickhouse__type_json() %} {% macro clickhouse__type_json() %}
@ -48,7 +52,7 @@
{%- endmacro -%} {%- endmacro -%}
{% macro sqlserver__type_string() %} {% macro sqlserver__type_string() %}
VARCHAR(max) NVARCHAR(max)
{%- endmacro -%} {%- endmacro -%}
{%- macro clickhouse__type_string() -%} {%- macro clickhouse__type_string() -%}
@ -150,7 +154,7 @@
{%- macro sqlserver__type_timestamp_with_timezone() -%} {%- macro sqlserver__type_timestamp_with_timezone() -%}
{#-- in TSQL timestamp is really datetime or datetime2 --#} {#-- in TSQL timestamp is really datetime or datetime2 --#}
{#-- https://docs.microsoft.com/en-us/sql/t-sql/functions/date-and-time-data-types-and-functions-transact-sql?view=sql-server-ver15#DateandTimeDataTypes --#} {#-- https://docs.microsoft.com/en-us/sql/t-sql/functions/date-and-time-data-types-and-functions-transact-sql?view=sql-server-ver15#DateandTimeDataTypes --#}
datetime datetime2
{%- endmacro -%} {%- endmacro -%}
{% macro clickhouse__type_timestamp_with_timezone() %} {% macro clickhouse__type_timestamp_with_timezone() %}

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@ -43,11 +43,12 @@
{%- endmacro %} {%- endmacro %}
{% macro redshift__format_json_path(json_path_list) -%} {% macro redshift__format_json_path(json_path_list) -%}
{%- set quote = '"' if redshift_super_type() else "'" -%}
{%- set str_list = [] -%} {%- set str_list = [] -%}
{%- for json_path in json_path_list -%} {%- for json_path in json_path_list -%}
{%- if str_list.append(json_path.replace("'", "''")) -%} {%- endif -%} {%- if str_list.append(json_path.replace(quote, quote + quote)) -%} {%- endif -%}
{%- endfor -%} {%- endfor -%}
{{ "'" ~ str_list|join("','") ~ "'" }} {{ quote ~ str_list|join(quote + "," + quote) ~ quote }}
{%- endmacro %} {%- endmacro %}
{% macro snowflake__format_json_path(json_path_list) -%} {% macro snowflake__format_json_path(json_path_list) -%}
@ -114,11 +115,14 @@
{%- endmacro %} {%- endmacro %}
{% macro redshift__json_extract(from_table, json_column, json_path_list, normalized_json_path) -%} {% macro redshift__json_extract(from_table, json_column, json_path_list, normalized_json_path) -%}
{%- if from_table|string() == '' %} {%- if from_table|string() != '' -%}
{%- set json_column = from_table|string() + "." + json_column|string() -%}
{%- endif -%}
{%- if redshift_super_type() -%}
case when {{ json_column }}.{{ format_json_path(json_path_list) }} != '' then {{ json_column }}.{{ format_json_path(json_path_list) }} end
{%- else -%}
case when json_extract_path_text({{ json_column }}, {{ format_json_path(json_path_list) }}, true) != '' then json_extract_path_text({{ json_column }}, {{ format_json_path(json_path_list) }}, true) end case when json_extract_path_text({{ json_column }}, {{ format_json_path(json_path_list) }}, true) != '' then json_extract_path_text({{ json_column }}, {{ format_json_path(json_path_list) }}, true) end
{% else %} {%- endif -%}
case when json_extract_path_text({{ from_table }}.{{ json_column }}, {{ format_json_path(json_path_list) }}, true) != '' then json_extract_path_text({{ from_table }}.{{ json_column }}, {{ format_json_path(json_path_list) }}, true) end
{% endif -%}
{%- endmacro %} {%- endmacro %}
{% macro snowflake__json_extract(from_table, json_column, json_path_list, normalized_json_path) -%} {% macro snowflake__json_extract(from_table, json_column, json_path_list, normalized_json_path) -%}
@ -168,7 +172,11 @@
{%- endmacro %} {%- endmacro %}
{% macro redshift__json_extract_scalar(json_column, json_path_list, normalized_json_path) -%} {% macro redshift__json_extract_scalar(json_column, json_path_list, normalized_json_path) -%}
{%- if redshift_super_type() -%}
case when {{ json_column }}.{{ format_json_path(json_path_list) }} != '' then {{ json_column }}.{{ format_json_path(json_path_list) }} end
{%- else -%}
case when json_extract_path_text({{ json_column }}, {{ format_json_path(json_path_list) }}, true) != '' then json_extract_path_text({{ json_column }}, {{ format_json_path(json_path_list) }}, true) end case when json_extract_path_text({{ json_column }}, {{ format_json_path(json_path_list) }}, true) != '' then json_extract_path_text({{ json_column }}, {{ format_json_path(json_path_list) }}, true) end
{%- endif -%}
{%- endmacro %} {%- endmacro %}
{% macro snowflake__json_extract_scalar(json_column, json_path_list, normalized_json_path) -%} {% macro snowflake__json_extract_scalar(json_column, json_path_list, normalized_json_path) -%}
@ -210,7 +218,11 @@
{%- endmacro %} {%- endmacro %}
{% macro redshift__json_extract_array(json_column, json_path_list, normalized_json_path) -%} {% macro redshift__json_extract_array(json_column, json_path_list, normalized_json_path) -%}
{%- if redshift_super_type() -%}
{{ json_column }}.{{ format_json_path(json_path_list) }}
{%- else -%}
json_extract_path_text({{ json_column }}, {{ format_json_path(json_path_list) }}, true) json_extract_path_text({{ json_column }}, {{ format_json_path(json_path_list) }}, true)
{%- endif -%}
{%- endmacro %} {%- endmacro %}
{% macro snowflake__json_extract_array(json_column, json_path_list, normalized_json_path) -%} {% macro snowflake__json_extract_array(json_column, json_path_list, normalized_json_path) -%}

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@ -33,6 +33,31 @@
cast({{ array_column }} as {{dbt_utils.type_string()}}) cast({{ array_column }} as {{dbt_utils.type_string()}})
{%- endmacro %} {%- endmacro %}
{% macro redshift__array_to_string(array_column) -%}
{% if redshift_super_type() -%}
json_serialize({{array_column}})
{%- else -%}
{{ array_column }}
{%- endif %}
{%- endmacro %}
{# object_to_string ------------------------------------------------- #}
{% macro object_to_string(object_column) -%}
{{ adapter.dispatch('object_to_string')(object_column) }}
{%- endmacro %}
{% macro default__object_to_string(object_column) -%}
{{ object_column }}
{%- endmacro %}
{% macro redshift__object_to_string(object_column) -%}
{% if redshift_super_type() -%}
json_serialize({{object_column}})
{%- else -%}
{{ object_column }}
{%- endif %}
{%- endmacro %}
{# cast_to_boolean ------------------------------------------------- #} {# cast_to_boolean ------------------------------------------------- #}
{% macro cast_to_boolean(field) -%} {% macro cast_to_boolean(field) -%}
{{ adapter.dispatch('cast_to_boolean')(field) }} {{ adapter.dispatch('cast_to_boolean')(field) }}
@ -49,7 +74,11 @@
{# -- Redshift does not support converting string directly to boolean, it must go through int first #} {# -- Redshift does not support converting string directly to boolean, it must go through int first #}
{% macro redshift__cast_to_boolean(field) -%} {% macro redshift__cast_to_boolean(field) -%}
{% if redshift_super_type() -%}
cast({{ field }} as boolean)
{%- else -%}
cast(decode({{ field }}, 'true', '1', 'false', '0')::integer as boolean) cast(decode({{ field }}, 'true', '1', 'false', '0')::integer as boolean)
{%- endif %}
{%- endmacro %} {%- endmacro %}
{# -- MS SQL Server does not support converting string directly to boolean, it must be casted as bit #} {# -- MS SQL Server does not support converting string directly to boolean, it must be casted as bit #}
@ -70,3 +99,7 @@
{%- macro default__empty_string_to_null(field) -%} {%- macro default__empty_string_to_null(field) -%}
nullif({{ field }}, '') nullif({{ field }}, '')
{%- endmacro %} {%- endmacro %}
{%- macro redshift__empty_string_to_null(field) -%}
nullif({{ field }}::varchar, '')
{%- endmacro %}

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@ -1,24 +0,0 @@
{{ 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_admin_tags') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['type'], ['type']) }} as {{ adapter.quote('type') }},
{{ json_extract_scalar('_airbyte_data', ['color'], ['color']) }} as color,
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ 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_admin_tags') }} as table_alias
-- admin_tags
where 1 = 1

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@ -1,24 +0,0 @@
{{ 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('admin_tags_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast({{ adapter.quote('type') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('type') }},
cast(color as {{ dbt_utils.type_string() }}) as color,
{{ cast_to_boolean('active') }} as active,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('admin_tags_ab1') }}
-- admin_tags
where 1 = 1

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@ -1,24 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('admin_tags_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('name'),
adapter.quote('type'),
'color',
boolean_to_string('active'),
'createdat',
'updatedat',
'searchstring',
]) }} as _airbyte_admin_tags_hashid,
tmp.*
from {{ ref('admin_tags_ab2') }} tmp
-- admin_tags
where 1 = 1

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@ -1,32 +0,0 @@
{{ 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_cash_flows') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['hash'], ['hash']) }} as hash,
{{ json_extract_scalar('_airbyte_data', ['user'], ['user']) }} as {{ adapter.quote('user') }},
{{ json_extract_scalar('_airbyte_data', ['value'], ['value']) }} as {{ adapter.quote('value') }},
{{ json_extract_scalar('_airbyte_data', ['action'], ['action']) }} as {{ adapter.quote('action') }},
{{ json_extract_scalar('_airbyte_data', ['options'], ['options']) }} as {{ adapter.quote('options') }},
{{ json_extract_scalar('_airbyte_data', ['category'], ['category']) }} as category,
{{ json_extract_scalar('_airbyte_data', ['targetId'], ['targetId']) }} as targetid,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['isAudited'], ['isAudited']) }} as isaudited,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['newBalance'], ['newBalance']) }} as newbalance,
{{ json_extract_scalar('_airbyte_data', ['oldBalance'], ['oldBalance']) }} as oldbalance,
{{ json_extract_scalar('_airbyte_data', ['targetType'], ['targetType']) }} as targettype,
{{ json_extract_scalar('_airbyte_data', ['isProcessed'], ['isProcessed']) }} as isprocessed,
{{ json_extract_scalar('_airbyte_data', ['processStatus'], ['processStatus']) }} as processstatus,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_cash_flows') }} as table_alias
-- cash_flows
where 1 = 1

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@ -1,32 +0,0 @@
{{ 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

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@ -1,32 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('cash_flows_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'hash',
adapter.quote('user'),
adapter.quote('value'),
adapter.quote('action'),
adapter.quote('options'),
'category',
'targetid',
'createdat',
boolean_to_string('isaudited'),
'updatedat',
'newbalance',
'oldbalance',
'targettype',
boolean_to_string('isprocessed'),
'processstatus',
]) }} as _airbyte_cash_flows_hashid,
tmp.*
from {{ ref('cash_flows_ab2') }} tmp
-- cash_flows
where 1 = 1

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@ -1,29 +0,0 @@
{{ 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_cities') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['code'], ['code']) }} as code,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['slug'], ['slug']) }} as slug,
{{ json_extract_scalar('_airbyte_data', ['order'], ['order']) }} as {{ adapter.quote('order') }},
{{ json_extract_scalar('_airbyte_data', ['tncId'], ['tncId']) }} as tncid,
{{ json_extract_scalar('_airbyte_data', ['region'], ['region']) }} as region,
{{ json_extract_scalar('_airbyte_data', ['source'], ['source']) }} as {{ adapter.quote('source') }},
{{ json_extract_scalar('_airbyte_data', ['tempId'], ['tempId']) }} as tempid,
{{ json_extract_scalar('_airbyte_data', ['tncCode'], ['tncCode']) }} as tnccode,
{{ json_extract_scalar('_airbyte_data', ['osirisId'], ['osirisId']) }} as osirisid,
{{ 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_cities') }} as table_alias
-- cities
where 1 = 1

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@ -1,29 +0,0 @@
{{ 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('cities_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(code as {{ dbt_utils.type_float() }}) as code,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast(slug as {{ dbt_utils.type_string() }}) as slug,
cast({{ adapter.quote('order') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('order') }},
cast(tncid as {{ dbt_utils.type_float() }}) as tncid,
cast(region as {{ dbt_utils.type_string() }}) as region,
cast({{ adapter.quote('source') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('source') }},
cast(tempid as {{ dbt_utils.type_float() }}) as tempid,
cast(tnccode as {{ dbt_utils.type_string() }}) as tnccode,
cast(osirisid as {{ dbt_utils.type_float() }}) as osirisid,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('cities_ab1') }}
-- cities
where 1 = 1

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@ -1,29 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('cities_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'code',
adapter.quote('name'),
'slug',
adapter.quote('order'),
'tncid',
'region',
adapter.quote('source'),
'tempid',
'tnccode',
'osirisid',
'updatedat',
'searchstring',
]) }} as _airbyte_cities_hashid,
tmp.*
from {{ ref('cities_ab2') }} tmp
-- cities
where 1 = 1

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@ -1,29 +0,0 @@
{{ 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_scalar('_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', ['email'], ['email']) }} as email,
{{ 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_scalar('_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

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@ -1,29 +0,0 @@
{{ 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('customers_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(info as {{ dbt_utils.type_string() }}) as info,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
cast(email as {{ dbt_utils.type_string() }}) as email,
cast(phone as {{ dbt_utils.type_string() }}) as phone,
cast({{ adapter.quote('source') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('source') }},
{{ adapter.quote('location') }},
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
{{ cast_to_boolean('isdeleted') }} as isdeleted,
cast(statistic as {{ dbt_utils.type_string() }}) as statistic,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('customers_ab1') }}
-- customers
where 1 = 1

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@ -1,29 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('customers_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'info',
adapter.quote('name'),
adapter.quote('user'),
'email',
'phone',
adapter.quote('source'),
array_to_string(adapter.quote('location')),
'createdat',
boolean_to_string('isdeleted'),
'statistic',
'updatedat',
'searchstring',
]) }} as _airbyte_customers_hashid,
tmp.*
from {{ ref('customers_ab2') }} tmp
-- customers
where 1 = 1

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@ -1,29 +0,0 @@
{{ 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_districts') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['city'], ['city']) }} as city,
{{ json_extract_scalar('_airbyte_data', ['code'], ['code']) }} as code,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['slug'], ['slug']) }} as slug,
{{ json_extract_scalar('_airbyte_data', ['tncId'], ['tncId']) }} as tncid,
{{ json_extract_scalar('_airbyte_data', ['cityId'], ['cityId']) }} as cityid,
{{ json_extract_scalar('_airbyte_data', ['source'], ['source']) }} as {{ adapter.quote('source') }},
{{ json_extract_scalar('_airbyte_data', ['tncCode'], ['tncCode']) }} as tnccode,
{{ json_extract_scalar('_airbyte_data', ['gidoCode'], ['gidoCode']) }} as gidocode,
{{ json_extract_scalar('_airbyte_data', ['osirisId'], ['osirisId']) }} as osirisid,
{{ 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_districts') }} as table_alias
-- districts
where 1 = 1

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@ -1,29 +0,0 @@
{{ 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('districts_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(city as {{ dbt_utils.type_string() }}) as city,
cast(code as {{ dbt_utils.type_float() }}) as code,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast(slug as {{ dbt_utils.type_string() }}) as slug,
cast(tncid as {{ dbt_utils.type_float() }}) as tncid,
cast(cityid as {{ dbt_utils.type_float() }}) as cityid,
cast({{ adapter.quote('source') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('source') }},
cast(tnccode as {{ dbt_utils.type_string() }}) as tnccode,
cast(gidocode as {{ dbt_utils.type_float() }}) as gidocode,
cast(osirisid as {{ dbt_utils.type_float() }}) as osirisid,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('districts_ab1') }}
-- districts
where 1 = 1

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@ -1,29 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('districts_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'city',
'code',
adapter.quote('name'),
'slug',
'tncid',
'cityid',
adapter.quote('source'),
'tnccode',
'gidocode',
'osirisid',
'updatedat',
'searchstring',
]) }} as _airbyte_districts_hashid,
tmp.*
from {{ ref('districts_ab2') }} tmp
-- districts
where 1 = 1

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@ -1,25 +0,0 @@
{{ 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,
{{ json_extract_scalar('_airbyte_data', ['options'], ['options']) }} as {{ adapter.quote('options') }},
{{ 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

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@ -1,25 +0,0 @@
{{ 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('event_rewards_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(cash as {{ dbt_utils.type_float() }}) as cash,
cast({{ adapter.quote('type') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('type') }},
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
cast({{ adapter.quote('event') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('event') }},
cast(status as {{ dbt_utils.type_string() }}) as status,
cast({{ adapter.quote('options') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('options') }},
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('event_rewards_ab1') }}
-- event_rewards
where 1 = 1

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@ -1,25 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('event_rewards_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'cash',
adapter.quote('type'),
adapter.quote('user'),
adapter.quote('event'),
'status',
adapter.quote('options'),
'createdat',
'updatedat',
]) }} as _airbyte_event_rewards_hashid,
tmp.*
from {{ ref('event_rewards_ab2') }} tmp
-- event_rewards
where 1 = 1

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@ -1,38 +0,0 @@
{{ 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_events') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['desc'], ['desc']) }} as {{ adapter.quote('desc') }},
{{ json_extract_scalar('_airbyte_data', ['icon'], ['icon']) }} as icon,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['type'], ['type']) }} as {{ adapter.quote('type') }},
{{ json_extract_scalar('_airbyte_data', ['cover'], ['cover']) }} as cover,
{{ json_extract_scalar('_airbyte_data', ['endAt'], ['endAt']) }} as endat,
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_scalar('_airbyte_data', ['notice'], ['notice']) }} as notice,
{{ json_extract_scalar('_airbyte_data', ['screen'], ['screen']) }} as screen,
{{ json_extract_scalar('_airbyte_data', ['article'], ['article']) }} as article,
{{ json_extract_scalar('_airbyte_data', ['options'], ['options']) }} as {{ adapter.quote('options') }},
{{ json_extract_scalar('_airbyte_data', ['startAt'], ['startAt']) }} as startat,
{{ json_extract_scalar('_airbyte_data', ['segments'], ['segments']) }} as segments,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['groupType'], ['groupType']) }} as grouptype,
{{ json_extract_array('_airbyte_data', ['suppliers'], ['suppliers']) }} as suppliers,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_array('_airbyte_data', ['information'], ['information']) }} as information,
{{ json_extract_scalar('_airbyte_data', ['displayEndAt'], ['displayEndAt']) }} as displayendat,
{{ json_extract_scalar('_airbyte_data', ['isApplyForAll'], ['isApplyForAll']) }} as isapplyforall,
{{ json_extract_scalar('_airbyte_data', ['displayStartAt'], ['displayStartAt']) }} as displaystartat,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_events') }} as table_alias
-- events
where 1 = 1

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@ -1,38 +0,0 @@
{{ 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('events_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('desc') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('desc') }},
cast(icon as {{ dbt_utils.type_string() }}) as icon,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast({{ adapter.quote('type') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('type') }},
cast(cover as {{ dbt_utils.type_string() }}) as cover,
cast(endat as {{ dbt_utils.type_string() }}) as endat,
{{ cast_to_boolean('active') }} as active,
cast(notice as {{ dbt_utils.type_string() }}) as notice,
cast(screen as {{ dbt_utils.type_string() }}) as screen,
cast(article as {{ dbt_utils.type_string() }}) as article,
cast({{ adapter.quote('options') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('options') }},
cast(startat as {{ dbt_utils.type_string() }}) as startat,
cast(segments as {{ dbt_utils.type_string() }}) as segments,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(grouptype as {{ dbt_utils.type_string() }}) as grouptype,
suppliers,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
information,
cast(displayendat as {{ dbt_utils.type_string() }}) as displayendat,
{{ cast_to_boolean('isapplyforall') }} as isapplyforall,
cast(displaystartat as {{ dbt_utils.type_string() }}) as displaystartat,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('events_ab1') }}
-- events
where 1 = 1

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@ -1,38 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('events_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('desc'),
'icon',
adapter.quote('name'),
adapter.quote('type'),
'cover',
'endat',
boolean_to_string('active'),
'notice',
'screen',
'article',
adapter.quote('options'),
'startat',
'segments',
'createdat',
'grouptype',
array_to_string('suppliers'),
'updatedat',
array_to_string('information'),
'displayendat',
boolean_to_string('isapplyforall'),
'displaystartat',
]) }} as _airbyte_events_hashid,
tmp.*
from {{ ref('events_ab2') }} tmp
-- events
where 1 = 1

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@ -1,38 +0,0 @@
{{ 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_inventories') }}
select
{{ json_extract_scalar('_airbyte_data', ['id'], ['id']) }} as {{ adapter.quote('id') }},
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['code'], ['code']) }} as code,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['slug'], ['slug']) }} as slug,
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_scalar('_airbyte_data', ['contact'], ['contact']) }} as contact,
{{ json_extract_scalar('_airbyte_data', ['partner'], ['partner']) }} as partner,
{{ json_extract_scalar('_airbyte_data', ['checksum'], ['checksum']) }} as checksum,
{{ json_extract_scalar('_airbyte_data', ['location'], ['location']) }} as {{ adapter.quote('location') }},
{{ json_extract_scalar('_airbyte_data', ['supplier'], ['supplier']) }} as supplier,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['minimumValue'], ['minimumValue']) }} as minimumvalue,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
{{ json_extract_scalar('_airbyte_data', ['paymentMethods'], ['paymentMethods']) }} as paymentmethods,
{{ json_extract_scalar('_airbyte_data', ['canIssueInvoice'], ['canIssueInvoice']) }} as canissueinvoice,
{{ json_extract_array('_airbyte_data', ['deliveryMethods'], ['deliveryMethods']) }} as deliverymethods,
{{ json_extract_scalar('_airbyte_data', ['canAutoSendEmail'], ['canAutoSendEmail']) }} as canautosendemail,
{{ json_extract_scalar('_airbyte_data', ['invoiceDeliveryMethod'], ['invoiceDeliveryMethod']) }} as invoicedeliverymethod,
{{ json_extract_scalar('_airbyte_data', ['doesSupportSellyExpress'], ['doesSupportSellyExpress']) }} as doessupportsellyexpress,
{{ json_extract_array('_airbyte_data', ['priorityDeliveryServiceCodes'], ['priorityDeliveryServiceCodes']) }} as prioritydeliveryservicecodes,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_inventories') }} as table_alias
-- inventories
where 1 = 1

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@ -1,38 +0,0 @@
{{ 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('inventories_ab1') }}
select
cast({{ adapter.quote('id') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('id') }},
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(code as {{ dbt_utils.type_float() }}) as code,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast(slug as {{ dbt_utils.type_string() }}) as slug,
{{ cast_to_boolean('active') }} as active,
cast(contact as {{ dbt_utils.type_string() }}) as contact,
cast(partner as {{ dbt_utils.type_string() }}) as partner,
cast(checksum as {{ dbt_utils.type_string() }}) as checksum,
cast({{ adapter.quote('location') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('location') }},
cast(supplier as {{ dbt_utils.type_string() }}) as supplier,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(minimumvalue as {{ dbt_utils.type_float() }}) as minimumvalue,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
cast(paymentmethods as {{ dbt_utils.type_string() }}) as paymentmethods,
{{ cast_to_boolean('canissueinvoice') }} as canissueinvoice,
deliverymethods,
{{ cast_to_boolean('canautosendemail') }} as canautosendemail,
cast(invoicedeliverymethod as {{ dbt_utils.type_string() }}) as invoicedeliverymethod,
{{ cast_to_boolean('doessupportsellyexpress') }} as doessupportsellyexpress,
prioritydeliveryservicecodes,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('inventories_ab1') }}
-- inventories
where 1 = 1

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@ -1,38 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('inventories_ab2') }}
select
{{ dbt_utils.surrogate_key([
adapter.quote('id'),
'_id',
'code',
adapter.quote('name'),
'slug',
boolean_to_string('active'),
'contact',
'partner',
'checksum',
adapter.quote('location'),
'supplier',
'createdat',
'updatedat',
'minimumvalue',
'searchstring',
'paymentmethods',
boolean_to_string('canissueinvoice'),
array_to_string('deliverymethods'),
boolean_to_string('canautosendemail'),
'invoicedeliverymethod',
boolean_to_string('doessupportsellyexpress'),
array_to_string('prioritydeliveryservicecodes'),
]) }} as _airbyte_inventories_hashid,
tmp.*
from {{ ref('inventories_ab2') }} tmp
-- inventories
where 1 = 1

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@ -1,30 +0,0 @@
{{ 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_membership') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['color'], ['color']) }} as color,
{{ json_extract_scalar('_airbyte_data', ['guide'], ['guide']) }} as guide,
{{ json_extract_scalar('_airbyte_data', ['level'], ['level']) }} as {{ adapter.quote('level') }},
{{ json_extract_scalar('_airbyte_data', ['sales'], ['sales']) }} as sales,
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['updatedat'], ['updatedat']) }} as updatedat_1,
{{ json_extract_scalar('_airbyte_data', ['transaction'], ['transaction']) }} as {{ adapter.quote('transaction') }},
{{ json_extract_scalar('_airbyte_data', ['bonusPercent'], ['bonusPercent']) }} as bonuspercent,
{{ json_extract_scalar('_airbyte_data', ['bonuspercent'], ['bonuspercent']) }} as bonuspercent_1,
{{ json_extract_scalar('_airbyte_data', ['transactionMinValue'], ['transactionMinValue']) }} as transactionminvalue,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_membership') }} as table_alias
-- membership
where 1 = 1

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@ -1,30 +0,0 @@
{{ 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('membership_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast(color as {{ dbt_utils.type_string() }}) as color,
cast(guide as {{ dbt_utils.type_string() }}) as guide,
cast({{ adapter.quote('level') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('level') }},
cast(sales as {{ dbt_utils.type_float() }}) as sales,
{{ cast_to_boolean('active') }} as active,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(updatedat_1 as {{ dbt_utils.type_string() }}) as updatedat_1,
cast({{ adapter.quote('transaction') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('transaction') }},
cast(bonuspercent as {{ dbt_utils.type_float() }}) as bonuspercent,
cast(bonuspercent_1 as {{ dbt_utils.type_float() }}) as bonuspercent_1,
cast(transactionminvalue as {{ dbt_utils.type_float() }}) as transactionminvalue,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('membership_ab1') }}
-- membership
where 1 = 1

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@ -1,30 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('membership_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('name'),
'color',
'guide',
adapter.quote('level'),
'sales',
boolean_to_string('active'),
'createdat',
'updatedat',
'updatedat_1',
adapter.quote('transaction'),
'bonuspercent',
'bonuspercent_1',
'transactionminvalue',
]) }} as _airbyte_membership_hashid,
tmp.*
from {{ ref('membership_ab2') }} tmp
-- membership
where 1 = 1

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@ -1,22 +0,0 @@
{{ 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_membership_histories') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['new'], ['new']) }} as {{ adapter.quote('new') }},
{{ json_extract_scalar('_airbyte_data', ['old'], ['old']) }} as {{ adapter.quote('old') }},
{{ 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', ['createdAt'], ['createdAt']) }} as createdat,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_membership_histories') }} as table_alias
-- membership_histories
where 1 = 1

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@ -1,22 +0,0 @@
{{ 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('membership_histories_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('new') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('new') }},
cast({{ adapter.quote('old') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('old') }},
cast({{ adapter.quote('type') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('type') }},
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('membership_histories_ab1') }}
-- membership_histories
where 1 = 1

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@ -1,22 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('membership_histories_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('new'),
adapter.quote('old'),
adapter.quote('type'),
adapter.quote('user'),
'createdat',
]) }} as _airbyte_membership_histories_hashid,
tmp.*
from {{ ref('membership_histories_ab2') }} tmp
-- membership_histories
where 1 = 1

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@ -1,28 +0,0 @@
{{ 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_membership_orders') }}
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', ['status'], ['status']) }} as status,
{{ json_extract_scalar('_airbyte_data', ['percent'], ['percent']) }} as {{ adapter.quote('percent') }},
{{ json_extract_scalar('_airbyte_data', ['targetID'], ['targetID']) }} as targetid,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['commission'], ['commission']) }} as commission,
{{ json_extract_scalar('_airbyte_data', ['isRejected'], ['isRejected']) }} as isrejected,
{{ json_extract_scalar('_airbyte_data', ['membershipName'], ['membershipName']) }} as membershipname,
{{ json_extract_scalar('_airbyte_data', ['membershipLevel'], ['membershipLevel']) }} as membershiplevel,
{{ json_extract_scalar('_airbyte_data', ['membershipPromotion'], ['membershipPromotion']) }} as membershippromotion,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_membership_orders') }} as table_alias
-- membership_orders
where 1 = 1

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@ -1,28 +0,0 @@
{{ 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('membership_orders_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
cast(status as {{ dbt_utils.type_string() }}) as status,
cast({{ adapter.quote('percent') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('percent') }},
cast(targetid as {{ dbt_utils.type_string() }}) as targetid,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(commission as {{ dbt_utils.type_float() }}) as commission,
{{ cast_to_boolean('isrejected') }} as isrejected,
cast(membershipname as {{ dbt_utils.type_string() }}) as membershipname,
cast(membershiplevel as {{ dbt_utils.type_float() }}) as membershiplevel,
cast({{ adapter.quote('membershippromotion') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('membershippromotion') }},
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('membership_orders_ab1') }}
-- membership_orders
where 1 = 1

View File

@ -1,28 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('membership_orders_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('user'),
'status',
adapter.quote('percent'),
'targetid',
'createdat',
'updatedat',
'commission',
boolean_to_string('isrejected'),
'membershipname',
'membershiplevel',
'membershippromotion'
]) }} as _airbyte_membership_orders_hashid,
tmp.*
from {{ ref('membership_orders_ab2') }} tmp
-- membership_orders
where 1 = 1

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@ -1,33 +0,0 @@
{{ 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_deliveries') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['code'], ['code']) }} as code,
{{ json_extract_scalar('_airbyte_data', ['order'], ['order']) }} as {{ adapter.quote('order') }},
{{ json_extract_scalar('_airbyte_data', ['title'], ['title']) }} as title,
{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
{{ json_extract_scalar('_airbyte_data', ['service'], ['service']) }} as service,
{{ json_extract_scalar('_airbyte_data', ['customer'], ['customer']) }} as customer,
{{ json_extract_scalar('_airbyte_data', ['delivery'], ['delivery']) }} as delivery,
{{ json_extract_scalar('_airbyte_data', ['location'], ['location']) }} as {{ adapter.quote('location') }},
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['promotion'], ['promotion']) }} as promotion,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['trackingCode'], ['trackingCode']) }} as trackingcode,
{{ json_extract_scalar('_airbyte_data', ['trackingTime'], ['trackingTime']) }} as trackingtime,
{{ json_extract_scalar('_airbyte_data', ['isAdminChange'], ['isAdminChange']) }} as isadminchange,
{{ json_extract_scalar('_airbyte_data', ['trackingOrderCode'], ['trackingOrderCode']) }} as trackingordercode,
{{ json_extract_scalar('_airbyte_data', ['weight'], ['weight']) }} as weight,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_order_deliveries') }} as table_alias
-- order_deliveries
where 1 = 1

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@ -1,33 +0,0 @@
{{ 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('order_deliveries_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(code as {{ dbt_utils.type_string() }}) as code,
cast({{ adapter.quote('order') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('order') }},
cast(title as {{ dbt_utils.type_string() }}) as title,
cast(status as {{ dbt_utils.type_string() }}) as status,
cast(service as {{ dbt_utils.type_string() }}) as service,
cast(customer as {{ dbt_utils.type_string() }}) as customer,
cast(delivery as {{ dbt_utils.type_string() }}) as delivery,
cast({{ adapter.quote('location') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('location') }},
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(promotion as {{ dbt_utils.type_string() }}) as promotion,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(trackingcode as {{ dbt_utils.type_string() }}) as trackingcode,
cast(trackingtime as {{ dbt_utils.type_string() }}) as trackingtime,
{{ cast_to_boolean('isadminchange') }} as isadminchange,
cast(trackingordercode as {{ dbt_utils.type_string() }}) as trackingordercode,
cast(weight as {{ dbt_utils.type_string() }}) as weight,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('order_deliveries_ab1') }}
-- order_deliveries
where 1 = 1

View File

@ -1,33 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('order_deliveries_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'code',
adapter.quote('order'),
'title',
'status',
'service',
'customer',
'delivery',
adapter.quote('location'),
'createdat',
'promotion',
'updatedat',
'trackingcode',
'trackingtime',
boolean_to_string('isadminchange'),
'trackingordercode',
'weight',
]) }} as _airbyte_order_deliveries_hashid,
tmp.*
from {{ ref('order_deliveries_ab2') }} tmp
-- order_deliveries
where 1 = 1

View File

@ -1,22 +0,0 @@
{{ 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_histories') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['order'], ['order']) }} as {{ adapter.quote('order') }},
{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['timestamp'], ['timestamp']) }} as {{ adapter.quote('timestamp') }},
{{ 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_order_histories') }} as table_alias
-- order_histories
where 1 = 1

View File

@ -1,22 +0,0 @@
{{ 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('order_histories_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('order') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('order') }},
cast(status as {{ dbt_utils.type_string() }}) as status,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast({{ adapter.quote('timestamp') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('timestamp') }},
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('order_histories_ab1') }}
-- order_histories
where 1 = 1

View File

@ -1,22 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('order_histories_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('order'),
'status',
'createdat',
adapter.quote('timestamp'),
'updatedat',
]) }} as _airbyte_order_histories_hashid,
tmp.*
from {{ ref('order_histories_ab2') }} tmp
-- order_histories
where 1 = 1

View File

@ -1,45 +0,0 @@
{{ 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_scalar('_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', ['brand'], ['brand']) }} as brand,
{{ json_extract_scalar('_airbyte_data', ['order'], ['order']) }} as {{ adapter.quote('order') }},
{{ json_extract_scalar('_airbyte_data', ['price'], ['price']) }} as price,
{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
{{ json_extract_scalar('_airbyte_data', ['teamId'], ['teamId']) }} as teamid,
{{ json_extract_scalar('_airbyte_data', ['product'], ['product']) }} as product,
{{ json_extract_scalar('_airbyte_data', ['voucher'], ['voucher']) }} as voucher,
{{ 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', ['inventory'], ['inventory']) }} as inventory,
{{ 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_array('_airbyte_data', ['promotions'], ['promotions']) }} as promotions,
{{ json_extract_scalar('_airbyte_data', ['totalPrice'], ['totalPrice']) }} as totalprice,
{{ json_extract_scalar('_airbyte_data', ['deliveredAt'], ['deliveredAt']) }} as deliveredat,
{{ json_extract_scalar('_airbyte_data', ['teamMemberId'], ['teamMemberId']) }} as teammemberid,
{{ json_extract_scalar('_airbyte_data', ['isAssignCoupon'], ['isAssignCoupon']) }} as isassigncoupon,
{{ json_extract_scalar('_airbyte_data', ['totalPromotion'], ['totalPromotion']) }} as totalpromotion,
{{ json_extract_scalar('_airbyte_data', ['inWholesaleRange'], ['inWholesaleRange']) }} as inwholesalerange,
{{ json_extract_scalar('_airbyte_data', ['voucherCashTotal'], ['voucherCashTotal']) }} as vouchercashtotal,
{{ json_extract_scalar('_airbyte_data', ['wholesaleRangeId'], ['wholesaleRangeId']) }} as wholesalerangeid,
{{ json_extract_scalar('_airbyte_data', ['totalWholesaleBonus'], ['totalWholesaleBonus']) }} as totalwholesalebonus,
{{ json_extract_scalar('_airbyte_data', ['totalSellyWholesaleBonus'], ['totalSellyWholesaleBonus']) }} as totalsellywholesalebonus,
_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

View File

@ -1,45 +0,0 @@
{{ 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('order_items_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(sku as {{ dbt_utils.type_string() }}) as sku,
cast({{ adapter.quote('date') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('date') }},
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
cast(brand as {{ dbt_utils.type_string() }}) as brand,
cast({{ adapter.quote('order') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('order') }},
cast(price as {{ dbt_utils.type_string() }}) as price,
cast(status as {{ dbt_utils.type_string() }}) as status,
cast(teamid as {{ dbt_utils.type_string() }}) as teamid,
cast(product as {{ dbt_utils.type_string() }}) as product,
cast(voucher as {{ dbt_utils.type_string() }}) as voucher,
cast(customer as {{ dbt_utils.type_string() }}) as customer,
cast(quantity as {{ dbt_utils.type_float() }}) as quantity,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(inventory as {{ dbt_utils.type_string() }}) as inventory,
cast(totalsell as {{ dbt_utils.type_float() }}) as totalsell,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(cashbackat as {{ dbt_utils.type_string() }}) as cashbackat,
promotions,
cast(totalprice as {{ dbt_utils.type_float() }}) as totalprice,
cast(deliveredat as {{ dbt_utils.type_string() }}) as deliveredat,
cast(teammemberid as {{ dbt_utils.type_string() }}) as teammemberid,
{{ cast_to_boolean('isassigncoupon') }} as isassigncoupon,
cast(totalpromotion as {{ dbt_utils.type_float() }}) as totalpromotion,
{{ cast_to_boolean('inwholesalerange') }} as inwholesalerange,
cast(vouchercashtotal as {{ dbt_utils.type_float() }}) as vouchercashtotal,
cast(wholesalerangeid as {{ dbt_utils.type_string() }}) as wholesalerangeid,
cast(totalwholesalebonus as {{ dbt_utils.type_float() }}) as totalwholesalebonus,
cast(totalsellywholesalebonus as {{ dbt_utils.type_float() }}) as totalsellywholesalebonus,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('order_items_ab1') }}
-- order_items
where 1 = 1

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@ -1,45 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('order_items_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'sku',
adapter.quote('date'),
adapter.quote('user'),
'brand',
adapter.quote('order'),
'price',
'status',
'teamid',
'product',
'voucher',
'customer',
'quantity',
'createdat',
'inventory',
'totalsell',
'updatedat',
'cashbackat',
array_to_string('promotions'),
'totalprice',
'deliveredat',
'teammemberid',
boolean_to_string('isassigncoupon'),
'totalpromotion',
boolean_to_string('inwholesalerange'),
'vouchercashtotal',
'wholesalerangeid',
'totalwholesalebonus',
'totalsellywholesalebonus',
]) }} as _airbyte_order_items_hashid,
tmp.*
from {{ ref('order_items_ab2') }} tmp
-- order_items
where 1 = 1

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@ -1,74 +0,0 @@
{{ 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_orders') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['code'], ['code']) }} as code,
{{ json_extract_scalar('_airbyte_data', ['date'], ['date']) }} as {{ adapter.quote('date') }},
{{ json_extract_scalar('_airbyte_data', ['hour'], ['hour']) }} as {{ adapter.quote('hour') }},
{{ json_extract_scalar('_airbyte_data', ['note'], ['note']) }} as note,
{{ json_extract_array('_airbyte_data', ['tags'], ['tags']) }} as tags,
{{ json_extract_scalar('_airbyte_data', ['user'], ['user']) }} as {{ adapter.quote('user') }},
{{ json_extract_scalar('_airbyte_data', ['price'], ['price']) }} as price,
{{ json_extract_scalar('_airbyte_data', ['banned'], ['banned']) }} as banned,
{{ json_extract_scalar('_airbyte_data', ['reason'], ['reason']) }} as reason,
{{ json_extract_scalar('_airbyte_data', ['source'], ['source']) }} as {{ adapter.quote('source') }},
{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
{{ json_extract_scalar('_airbyte_data', ['teamId'], ['teamId']) }} as teamid,
{{ json_extract_scalar('_airbyte_data', ['payment'], ['payment']) }} as payment,
{{ json_extract_scalar('_airbyte_data', ['remarks'], ['remarks']) }} as remarks,
{{ json_extract_scalar('_airbyte_data', ['customer'], ['customer']) }} as customer,
{{ json_extract_scalar('_airbyte_data', ['delivery'], ['delivery']) }} as delivery,
{{ json_extract_scalar('_airbyte_data', ['isCalled'], ['isCalled']) }} as iscalled,
{{ json_extract_scalar('_airbyte_data', ['merchant'], ['merchant']) }} as merchant,
{{ json_extract_scalar('_airbyte_data', ['pickupAt'], ['pickupAt']) }} as pickupat,
{{ json_extract_scalar('_airbyte_data', ['supplier'], ['supplier']) }} as supplier,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['inventory'], ['inventory']) }} as inventory,
{{ json_extract_scalar('_airbyte_data', ['invoiceId'], ['invoiceId']) }} as invoiceid,
{{ json_extract_scalar('_airbyte_data', ['isDeleted'], ['isDeleted']) }} as isdeleted,
{{ json_extract_scalar('_airbyte_data', ['promotion'], ['promotion']) }} as promotion,
{{ json_extract_scalar('_airbyte_data', ['requestId'], ['requestId']) }} as requestid,
{{ json_extract_scalar('_airbyte_data', ['restockAt'], ['restockAt']) }} as restockat,
{{ json_extract_scalar('_airbyte_data', ['sendEmail'], ['sendEmail']) }} as sendemail,
{{ json_extract_scalar('_airbyte_data', ['totalItem'], ['totalItem']) }} as totalitem,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['userAgent'], ['userAgent']) }} as useragent,
{{ json_extract_scalar('_airbyte_data', ['wholesale'], ['wholesale']) }} as wholesale,
{{ json_extract_scalar('_airbyte_data', ['approvedAt'], ['approvedAt']) }} as approvedat,
{{ json_extract_scalar('_airbyte_data', ['cashbackAt'], ['cashbackAt']) }} as cashbackat,
{{ json_extract_scalar('_airbyte_data', ['isPreorder'], ['isPreorder']) }} as ispreorder,
{{ json_extract_scalar('_airbyte_data', ['isReviewed'], ['isReviewed']) }} as isreviewed,
{{ json_extract_scalar('_airbyte_data', ['rejectedAt'], ['rejectedAt']) }} as rejectedat,
{{ json_extract_scalar('_airbyte_data', ['deliveredAt'], ['deliveredAt']) }} as deliveredat,
{{ json_extract_scalar('_airbyte_data', ['deliveringAt'], ['deliveringAt']) }} as deliveringat,
{{ json_extract_scalar('_airbyte_data', ['deliveryCode'], ['deliveryCode']) }} as deliverycode,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
{{ json_extract_scalar('_airbyte_data', ['staffApprove'], ['staffApprove']) }} as staffapprove,
{{ json_extract_scalar('_airbyte_data', ['teamMemberId'], ['teamMemberId']) }} as teammemberid,
{{ json_extract_scalar('_airbyte_data', ['processStatus'], ['processStatus']) }} as processstatus,
{{ json_extract_scalar('_airbyte_data', ['hookTimeLastAt'], ['hookTimeLastAt']) }} as hooktimelastat,
{{ json_extract_scalar('_airbyte_data', ['isAssignCoupon'], ['isAssignCoupon']) }} as isassigncoupon,
{{ json_extract_scalar('_airbyte_data', ['isAutoApproved'], ['isAutoApproved']) }} as isautoapproved,
{{ json_extract_scalar('_airbyte_data', ['outboundRequest'], ['outboundRequest']) }} as outboundrequest,
{{ json_extract_scalar('_airbyte_data', ['trackingCodeURL'], ['trackingCodeURL']) }} as trackingcodeurl,
{{ json_extract_scalar('_airbyte_data', ['trackingCode'], ['trackingcode']) }} as trackingCode,
{{ json_extract_scalar('_airbyte_data', ['waitingCancelBy'], ['waitingCancelBy']) }} as waitingcancelby,
{{ json_extract_scalar('_airbyte_data', ['isChangeDelivery'], ['isChangeDelivery']) }} as ischangedelivery,
{{ json_extract_scalar('_airbyte_data', ['estimateCashbackAt'], ['estimateCashbackAt']) }} as estimatecashbackat,
{{ json_extract_scalar('_airbyte_data', ['fromNewActiveBuyer'], ['fromNewActiveBuyer']) }} as fromnewactivebuyer,
{{ json_extract_scalar('_airbyte_data', ['isWaitingCancelled'], ['isWaitingCancelled']) }} as iswaitingcancelled,
{{ json_extract_scalar('_airbyte_data', ['fromNewActiveSeller'], ['fromNewActiveSeller']) }} as fromnewactiveseller,
{{ json_extract_scalar('_airbyte_data', ['waitingCancelReason'], ['waitingCancelReason']) }} as waitingcancelreason,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_orders') }} as table_alias
-- orders
where 1 = 1

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@ -1,74 +0,0 @@
{{ 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('orders_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(code as {{ dbt_utils.type_string() }}) as code,
cast({{ adapter.quote('date') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('date') }},
cast({{ adapter.quote('hour') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('hour') }},
cast(note as {{ dbt_utils.type_string() }}) as note,
tags,
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
cast(price as {{ dbt_utils.type_string() }}) as price,
{{ cast_to_boolean('banned') }} as banned,
cast(reason as {{ dbt_utils.type_string() }}) as reason,
cast({{ adapter.quote('source') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('source') }},
cast(status as {{ dbt_utils.type_string() }}) as status,
cast(teamid as {{ dbt_utils.type_string() }}) as teamid,
cast(payment as {{ dbt_utils.type_string() }}) as payment,
cast(remarks as {{ dbt_utils.type_string() }}) as remarks,
cast(customer as {{ dbt_utils.type_string() }}) as customer,
cast(delivery as {{ dbt_utils.type_string() }}) as delivery,
{{ cast_to_boolean('iscalled') }} as iscalled,
cast(merchant as {{ dbt_utils.type_string() }}) as merchant,
cast(pickupat as {{ dbt_utils.type_string() }}) as pickupat,
cast(supplier as {{ dbt_utils.type_string() }}) as supplier,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(inventory as {{ dbt_utils.type_string() }}) as inventory,
cast(invoiceid as {{ dbt_utils.type_string() }}) as invoiceid,
{{ cast_to_boolean('isdeleted') }} as isdeleted,
cast(promotion as {{ dbt_utils.type_string() }}) as promotion,
cast(requestid as {{ dbt_utils.type_string() }}) as requestid,
cast(restockat as {{ dbt_utils.type_string() }}) as restockat,
cast(sendemail as {{ dbt_utils.type_string() }}) as sendemail,
cast(totalitem as {{ dbt_utils.type_float() }}) as totalitem,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(useragent as {{ dbt_utils.type_string() }}) as useragent,
{{ cast_to_boolean('wholesale') }} as wholesale,
cast(approvedat as {{ dbt_utils.type_string() }}) as approvedat,
cast(cashbackat as {{ dbt_utils.type_string() }}) as cashbackat,
{{ cast_to_boolean('ispreorder') }} as ispreorder,
{{ cast_to_boolean('isreviewed') }} as isreviewed,
cast(rejectedat as {{ dbt_utils.type_string() }}) as rejectedat,
cast(deliveredat as {{ dbt_utils.type_string() }}) as deliveredat,
cast(deliveringat as {{ dbt_utils.type_string() }}) as deliveringat,
cast(deliverycode as {{ dbt_utils.type_string() }}) as deliverycode,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
cast(staffapprove as {{ dbt_utils.type_string() }}) as staffapprove,
cast(teammemberid as {{ dbt_utils.type_string() }}) as teammemberid,
cast(processstatus as {{ dbt_utils.type_string() }}) as processstatus,
cast(hooktimelastat as {{ dbt_utils.type_string() }}) as hooktimelastat,
{{ cast_to_boolean('isassigncoupon') }} as isassigncoupon,
{{ cast_to_boolean('isautoapproved') }} as isautoapproved,
cast(outboundrequest as {{ dbt_utils.type_string() }}) as outboundrequest,
cast(trackingcodeurl as {{ dbt_utils.type_string() }}) as trackingcodeurl,
cast(trackingcode as {{ dbt_utils.type_string() }}) as trackingcode,
cast(waitingcancelby as {{ dbt_utils.type_string() }}) as waitingcancelby,
{{ cast_to_boolean('ischangedelivery') }} as ischangedelivery,
cast(estimatecashbackat as {{ dbt_utils.type_string() }}) as estimatecashbackat,
{{ cast_to_boolean('fromnewactivebuyer') }} as fromnewactivebuyer,
{{ cast_to_boolean('iswaitingcancelled') }} as iswaitingcancelled,
{{ cast_to_boolean('fromnewactiveseller') }} as fromnewactiveseller,
cast(waitingcancelreason as {{ dbt_utils.type_string() }}) as waitingcancelreason,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('orders_ab1') }}
-- orders
where 1 = 1

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@ -1,74 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('orders_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'code',
adapter.quote('date'),
adapter.quote('hour'),
'note',
array_to_string('tags'),
adapter.quote('user'),
'price',
boolean_to_string('banned'),
'reason',
adapter.quote('source'),
'status',
'teamid',
'payment',
'remarks',
'customer',
'delivery',
boolean_to_string('iscalled'),
'merchant',
'pickupat',
'supplier',
'createdat',
'inventory',
'invoiceid',
boolean_to_string('isdeleted'),
'promotion',
'requestid',
'restockat',
'sendemail',
'totalitem',
'updatedat',
'useragent',
boolean_to_string('wholesale'),
'approvedat',
'cashbackat',
boolean_to_string('ispreorder'),
boolean_to_string('isreviewed'),
'rejectedat',
'deliveredat',
'deliveringat',
'deliverycode',
'searchstring',
'staffapprove',
'teammemberid',
'processstatus',
'hooktimelastat',
boolean_to_string('isassigncoupon'),
boolean_to_string('isautoapproved'),
'outboundrequest',
'trackingcodeurl',
'trackingcode',
'waitingcancelby',
boolean_to_string('ischangedelivery'),
'estimatecashbackat',
boolean_to_string('fromnewactivebuyer'),
boolean_to_string('iswaitingcancelled'),
boolean_to_string('fromnewactiveseller'),
'waitingcancelreason',
]) }} as _airbyte_orders_hashid,
tmp.*
from {{ ref('orders_ab2') }} tmp
-- orders
where 1 = 1

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@ -1,27 +0,0 @@
{{ 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_product_categories') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['icon'], ['icon']) }} as icon,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['color'], ['color']) }} as color,
{{ json_extract_scalar('_airbyte_data', ['order'], ['order']) }} as {{ adapter.quote('order') }},
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_array('_airbyte_data', ['covers'], ['covers']) }} as covers,
{{ json_extract_scalar('_airbyte_data', ['featured'], ['featured']) }} as featured,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['totalProduct'], ['totalProduct']) }} as totalproduct,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_product_categories') }} as table_alias
-- product_categories
where 1 = 1

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@ -1,27 +0,0 @@
{{ 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('product_categories_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(icon as {{ dbt_utils.type_string() }}) as icon,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast(color as {{ dbt_utils.type_string() }}) as color,
cast({{ adapter.quote('order') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('order') }},
{{ cast_to_boolean('active') }} as active,
covers,
{{ cast_to_boolean('featured') }} as featured,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(totalproduct as {{ dbt_utils.type_float() }}) as totalproduct,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('product_categories_ab1') }}
-- product_categories
where 1 = 1

View File

@ -1,27 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('product_categories_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'icon',
adapter.quote('name'),
'color',
adapter.quote('order'),
boolean_to_string('active'),
array_to_string('covers'),
boolean_to_string('featured'),
'createdat',
'updatedat',
'totalproduct',
]) }} as _airbyte_product_categories_hashid,
tmp.*
from {{ ref('product_categories_ab2') }} tmp
-- product_categories
where 1 = 1

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@ -1,48 +0,0 @@
{{ 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_product_sku') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['sku'], ['sku']) }} as sku,
{{ json_extract_scalar('_airbyte_data', ['info'], ['info']) }} as info,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['type'], ['type']) }} as {{ adapter.quote('type') }},
{{ json_extract_scalar('_airbyte_data', ['brand'], ['brand']) }} as brand,
{{ json_extract_scalar('_airbyte_data', ['cover'], ['cover']) }} as cover,
{{ json_extract_scalar('_airbyte_data', ['price'], ['price']) }} as price,
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_scalar('_airbyte_data', ['author'], ['author']) }} as author,
{{ json_extract_scalar('_airbyte_data', ['source'], ['source']) }} as {{ adapter.quote('source') }},
{{ json_extract_scalar('_airbyte_data', ['display'], ['display']) }} as display,
{{ json_extract_scalar('_airbyte_data', ['picture'], ['picture']) }} as picture,
{{ json_extract_scalar('_airbyte_data', ['product'], ['product']) }} as product,
{{ json_extract_scalar('_airbyte_data', ['version'], ['version']) }} as {{ adapter.quote('version') }},
{{ json_extract_scalar('_airbyte_data', ['groupSku'], ['groupSku']) }} as groupsku,
{{ json_extract_scalar('_airbyte_data', ['unitCode'], ['unitCode']) }} as unitcode,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['restockAt'], ['restockAt']) }} as restockat,
{{ json_extract_scalar('_airbyte_data', ['statistic'], ['statistic']) }} as statistic,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['couponInfo'], ['couponInfo']) }} as couponinfo,
{{ json_extract_array('_airbyte_data', ['properties'], ['properties']) }} as properties,
{{ json_extract_scalar('_airbyte_data', ['canPreorder'], ['canPreorder']) }} as canpreorder,
{{ json_extract_scalar('_airbyte_data', ['supplierSku'], ['supplierSku']) }} as suppliersku,
{{ json_extract_scalar('_airbyte_data', ['isOutOfStock'], ['isOutOfStock']) }} as isoutofstock,
{{ json_extract_scalar('_airbyte_data', ['pricePercent'], ['pricePercent']) }} as pricepercent,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
{{ json_extract_scalar('_airbyte_data', ['quantity'], ['quantity']) }} as quantity,
{{ json_extract_scalar('_airbyte_data', ['displayInventory'], ['displayInventory']) }} as displayinventory,
{{ json_extract_scalar('_airbyte_data', ['showRemainingQuantity'], ['showRemainingQuantity']) }} as showremainingquantity,
{{ json_extract_scalar('_airbyte_data', ['quantity_aibyte_transform'], ['quantity_aibyte_transform']) }} as quantity_aibyte_transform,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_product_sku') }} as table_alias
-- product_sku
where 1 = 1

View File

@ -1,48 +0,0 @@
{{ 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('product_sku_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(sku as {{ dbt_utils.type_string() }}) as sku,
cast(info as {{ dbt_utils.type_string() }}) as info,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast({{ adapter.quote('type') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('type') }},
cast(brand as {{ dbt_utils.type_string() }}) as brand,
cast(cover as {{ dbt_utils.type_string() }}) as cover,
cast(price as {{ dbt_utils.type_string() }}) as price,
{{ cast_to_boolean('active') }} as active,
cast(author as {{ dbt_utils.type_string() }}) as author,
cast({{ adapter.quote('source') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('source') }},
{{ cast_to_boolean('display') }} as display,
cast(picture as {{ dbt_utils.type_string() }}) as picture,
cast(product as {{ dbt_utils.type_string() }}) as product,
cast({{ adapter.quote('version') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('version') }},
cast(groupsku as {{ dbt_utils.type_string() }}) as groupsku,
cast(unitcode as {{ dbt_utils.type_string() }}) as unitcode,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(restockat as {{ dbt_utils.type_string() }}) as restockat,
cast(statistic as {{ dbt_utils.type_string() }}) as statistic,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(couponinfo as {{ dbt_utils.type_string() }}) as couponinfo,
properties,
{{ cast_to_boolean('canpreorder') }} as canpreorder,
cast(suppliersku as {{ dbt_utils.type_string() }}) as suppliersku,
{{ cast_to_boolean('isoutofstock') }} as isoutofstock,
cast(pricepercent as {{ dbt_utils.type_string() }}) as pricepercent,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
{{ cast_to_boolean('displayinventory') }} as displayinventory,
{{ cast_to_boolean('showremainingquantity') }} as showremainingquantity,
cast(quantity as {{ dbt_utils.type_string() }}) as quantity,
cast(quantity_aibyte_transform as {{ dbt_utils.type_string() }}) as quantity_aibyte_transform,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('product_sku_ab1') }}
-- product_sku
where 1 = 1

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@ -1,48 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('product_sku_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'sku',
'info',
adapter.quote('name'),
adapter.quote('type'),
'brand',
'cover',
'price',
boolean_to_string('active'),
'author',
adapter.quote('source'),
boolean_to_string('display'),
'picture',
'product',
adapter.quote('version'),
'groupsku',
'unitcode',
'createdat',
'restockat',
'statistic',
'updatedat',
'couponinfo',
array_to_string('properties'),
boolean_to_string('canpreorder'),
'suppliersku',
boolean_to_string('isoutofstock'),
'pricepercent',
'searchstring',
'quantity',
boolean_to_string('displayinventory'),
boolean_to_string('showremainingquantity'),
'quantity_aibyte_transform',
]) }} as _airbyte_product_sku_hashid,
tmp.*
from {{ ref('product_sku_ab2') }} tmp
-- product_sku
where 1 = 1

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@ -1,30 +0,0 @@
{{ 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_product_sku_versions') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['sku'], ['sku']) }} as sku,
{{ json_extract_scalar('_airbyte_data', ['info'], ['info']) }} as info,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['price'], ['price']) }} as price,
{{ json_extract_scalar('_airbyte_data', ['source'], ['source']) }} as {{ adapter.quote('source') }},
{{ json_extract_scalar('_airbyte_data', ['codeSku'], ['codeSku']) }} as codesku,
{{ json_extract_scalar('_airbyte_data', ['picture'], ['picture']) }} as picture,
{{ json_extract_scalar('_airbyte_data', ['product'], ['product']) }} as product,
{{ json_extract_scalar('_airbyte_data', ['statistic'], ['statistic']) }} as statistic,
{{ json_extract_scalar('_airbyte_data', ['version'], ['version']) }} as {{ adapter.quote('version') }},
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_array('_airbyte_data', ['properties'], ['properties']) }} as properties,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_product_sku_versions') }} as table_alias
-- product_sku_versions
where 1 = 1

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@ -1,30 +0,0 @@
{{ 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('product_sku_versions_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(sku as {{ dbt_utils.type_string() }}) as sku,
cast(info as {{ dbt_utils.type_string() }}) as info,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast(price as {{ dbt_utils.type_string() }}) as price,
cast({{ adapter.quote('source') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('source') }},
cast(codesku as {{ dbt_utils.type_string() }}) as codesku,
cast(picture as {{ dbt_utils.type_string() }}) as picture,
cast(product as {{ dbt_utils.type_string() }}) as product,
cast({{ adapter.quote('version') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('version') }},
cast(statistic as {{ dbt_utils.type_string() }}) as statistic,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
properties,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('product_sku_versions_ab1') }}
-- product_sku_versions
where 1 = 1

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@ -1,30 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('product_sku_versions_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'sku',
'info',
adapter.quote('name'),
'price',
adapter.quote('source'),
'codesku',
'picture',
'product',
'statistic',
adapter.quote('version'),
'createdat',
'updatedat',
array_to_string('properties'),
]) }} as _airbyte_product_sku_versions_hashid,
tmp.*
from {{ ref('product_sku_versions_ab2') }} tmp
-- product_sku_versions
where 1 = 1

View File

@ -1,25 +0,0 @@
{{ 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_product_sub_categories') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['order'], ['order']) }} as {{ adapter.quote('order') }},
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_scalar('_airbyte_data', ['parent'], ['parent']) }} as parent,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
{{ json_extract_scalar('_airbyte_data', ['totalProduct'], ['totalProduct']) }} as totalproduct,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_product_sub_categories') }} as table_alias
-- product_sub_categories
where 1 = 1

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@ -1,25 +0,0 @@
{{ 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('product_sub_categories_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast({{ adapter.quote('order') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('order') }},
{{ cast_to_boolean('active') }} as active,
cast(parent as {{ dbt_utils.type_string() }}) as parent,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
cast(totalproduct as {{ dbt_utils.type_float() }}) as totalproduct,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('product_sub_categories_ab1') }}
-- product_sub_categories
where 1 = 1

View File

@ -1,25 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('product_sub_categories_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('name'),
adapter.quote('order'),
boolean_to_string('active'),
'parent',
'createdat',
'updatedat',
'searchstring',
'totalproduct',
]) }} as _airbyte_product_sub_categories_hashid,
tmp.*
from {{ ref('product_sub_categories_ab2') }} tmp
-- product_sub_categories
where 1 = 1

View File

@ -1,52 +0,0 @@
{{ 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_products') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['desc'], ['desc']) }} as {{ adapter.quote('desc') }},
{{ json_extract_scalar('_airbyte_data', ['info'], ['info']) }} as info,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['temp'], ['temp']) }} as {{ adapter.quote('temp') }},
{{ json_extract_scalar('_airbyte_data', ['brand'], ['brand']) }} as brand,
{{ json_extract_scalar('_airbyte_data', ['order'], ['order']) }} as {{ adapter.quote('order') }},
{{ json_extract_scalar('_airbyte_data', ['price'], ['price']) }} as price,
{{ json_extract_scalar('_airbyte_data', ['score'], ['score']) }} as score,
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_scalar('_airbyte_data', ['author'], ['author']) }} as author,
{{ json_extract_array('_airbyte_data', ['guides'], ['guides']) }} as guides,
{{ json_extract_array('_airbyte_data', ['photos'], ['photos']) }} as photos,
{{ json_extract_array('_airbyte_data', ['videos'], ['videos']) }} as videos,
{{ json_extract_scalar('_airbyte_data', ['quantity'], ['quantity']) }} as quantity,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_array('_airbyte_data', ['documents'], ['documents']) }} as documents,
{{ json_extract_scalar('_airbyte_data', ['shareDesc'], ['shareDesc']) }} as sharedesc,
{{ json_extract_scalar('_airbyte_data', ['statistic'], ['statistic']) }} as statistic,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_array('_airbyte_data', ['categories'], ['categories']) }} as categories,
{{ json_extract_array('_airbyte_data', ['properties'], ['properties']) }} as properties,
{{ json_extract_scalar('_airbyte_data', ['reActiveAt'], ['reActiveAt']) }} as reactiveat,
{{ json_extract_array('_airbyte_data', ['inventories'], ['inventories']) }} as inventories,
{{ json_extract_scalar('_airbyte_data', ['isOutOfStock'], ['isOutOfStock']) }} as isoutofstock,
{{ json_extract_scalar('_airbyte_data', ['pricePercent'], ['pricePercent']) }} as pricepercent,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
{{ json_extract_array('_airbyte_data', ['subCategories'], ['subCategories']) }} as subcategories,
{{ json_extract_scalar('_airbyte_data', ['inactiveReason'], ['inactiveReason']) }} as inactivereason,
{{ json_extract_scalar('_airbyte_data', ['propertiesMain'], ['propertiesMain']) }} as propertiesmain,
{{ json_extract_scalar('_airbyte_data', ['shareStatistic'], ['shareStatistic']) }} as sharestatistic,
{{ json_extract_scalar('_airbyte_data', ['canIssueInvoice'], ['canIssueInvoice']) }} as canissueinvoice,
{{ json_extract_scalar('_airbyte_data', ['pendingInactive'], ['pendingInactive']) }} as pendinginactive,
{{ json_extract_scalar('_airbyte_data', ['reviewStatistic'], ['reviewStatistic']) }} as reviewstatistic,
{{ json_extract_scalar('_airbyte_data', ['pendingInactiveAt'], ['pendingInactiveAt']) }} as pendinginactiveat,
{{ json_extract_array('_airbyte_data', ['highlightProperties'], ['highlightProperties']) }} as highlightproperties,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_products') }} as table_alias
-- products
where 1 = 1

View File

@ -1,52 +0,0 @@
{{ 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('products_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('desc') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('desc') }},
cast(info as {{ dbt_utils.type_string() }}) as info,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast({{ adapter.quote('temp') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('temp') }},
cast(brand as {{ dbt_utils.type_string() }}) as brand,
cast({{ adapter.quote('order') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('order') }},
cast(price as {{ dbt_utils.type_string() }}) as price,
cast(score as {{ dbt_utils.type_string() }}) as score,
{{ cast_to_boolean('active') }} as active,
cast(author as {{ dbt_utils.type_string() }}) as author,
guides,
photos,
videos,
cast(quantity as {{ dbt_utils.type_float() }}) as quantity,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
documents,
cast(sharedesc as {{ dbt_utils.type_string() }}) as sharedesc,
cast(statistic as {{ dbt_utils.type_string() }}) as statistic,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
categories,
properties,
cast(reactiveat as {{ dbt_utils.type_string() }}) as reactiveat,
inventories,
{{ cast_to_boolean('isoutofstock') }} as isoutofstock,
cast(pricepercent as {{ dbt_utils.type_string() }}) as pricepercent,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
subcategories,
cast(inactivereason as {{ dbt_utils.type_string() }}) as inactivereason,
cast(propertiesmain as {{ dbt_utils.type_string() }}) as propertiesmain,
cast(sharestatistic as {{ dbt_utils.type_string() }}) as sharestatistic,
{{ cast_to_boolean('canissueinvoice') }} as canissueinvoice,
{{ cast_to_boolean('pendinginactive') }} as pendinginactive,
cast(reviewstatistic as {{ dbt_utils.type_string() }}) as reviewstatistic,
cast(pendinginactiveat as {{ dbt_utils.type_string() }}) as pendinginactiveat,
highlightproperties,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('products_ab1') }}
-- products
where 1 = 1

View File

@ -1,52 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('products_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('desc'),
'info',
adapter.quote('name'),
adapter.quote('temp'),
'brand',
adapter.quote('order'),
'price',
'score',
boolean_to_string('active'),
'author',
array_to_string('guides'),
array_to_string('photos'),
array_to_string('videos'),
'quantity',
'createdat',
array_to_string('documents'),
'sharedesc',
'statistic',
'updatedat',
array_to_string('categories'),
array_to_string('properties'),
'reactiveat',
array_to_string('inventories'),
boolean_to_string('isoutofstock'),
'pricepercent',
'searchstring',
array_to_string('subcategories'),
'inactivereason',
'propertiesmain',
'sharestatistic',
boolean_to_string('canissueinvoice'),
boolean_to_string('pendinginactive'),
'reviewstatistic',
'pendinginactiveat',
array_to_string('highlightproperties'),
]) }} as _airbyte_products_hashid,
tmp.*
from {{ ref('products_ab2') }} tmp
-- products
where 1 = 1

View File

@ -1,31 +0,0 @@
{{ 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_promotion_orders') }}
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', ['order'], ['order']) }} as {{ adapter.quote('order') }},
{{ json_extract_scalar('_airbyte_data', ['title'], ['title']) }} as title,
{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
{{ json_extract_scalar('_airbyte_data', ['supplier'], ['supplier']) }} as supplier,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['promotion'], ['promotion']) }} as promotion,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['cashbackAt'], ['cashbackAt']) }} as cashbackat,
{{ json_extract_scalar('_airbyte_data', ['commission'], ['commission']) }} as commission,
{{ json_extract_scalar('_airbyte_data', ['isRejected'], ['isRejected']) }} as isrejected,
{{ json_extract_scalar('_airbyte_data', ['quantityPromotion'], ['quantityPromotion']) }} as quantitypromotion,
{{ json_extract_scalar('_airbyte_data', ['supplierCommission'], ['supplierCommission']) }} as suppliercommission,
{{ json_extract_scalar('_airbyte_data', ['supplierCommissionTotal'], ['supplierCommissionTotal']) }} as suppliercommissiontotal,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_promotion_orders') }} as table_alias
-- promotion_orders
where 1 = 1

View File

@ -1,31 +0,0 @@
{{ 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('promotion_orders_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
cast({{ adapter.quote('order') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('order') }},
cast(title as {{ dbt_utils.type_string() }}) as title,
cast(status as {{ dbt_utils.type_string() }}) as status,
cast(supplier as {{ dbt_utils.type_string() }}) as supplier,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(promotion as {{ dbt_utils.type_string() }}) as promotion,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(cashbackat as {{ dbt_utils.type_string() }}) as cashbackat,
cast(commission as {{ dbt_utils.type_float() }}) as commission,
{{ cast_to_boolean('isrejected') }} as isrejected,
cast(quantitypromotion as {{ dbt_utils.type_float() }}) as quantitypromotion,
cast(supplierCommission as {{ dbt_utils.type_string() }}) as supplierCommission,
cast(supplierCommissionTotal as {{ dbt_utils.type_float() }}) as supplierCommissionTotal,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('promotion_orders_ab1') }}
-- promotion_orders
where 1 = 1

View File

@ -1,31 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('promotion_orders_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('user'),
adapter.quote('order'),
'title',
'status',
'supplier',
'createdat',
'promotion',
'updatedat',
'cashbackat',
'commission',
boolean_to_string('isrejected'),
'quantitypromotion',
'supplierCommission',
'supplierCommissionTotal',
]) }} as _airbyte_promotion_orders_hashid,
tmp.*
from {{ ref('promotion_orders_ab2') }} tmp
-- promotion_orders
where 1 = 1

View File

@ -1,35 +0,0 @@
{{ 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_promotions') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['rest'], ['rest']) }} as rest,
{{ json_extract_scalar('_airbyte_data', ['type'], ['type']) }} as {{ adapter.quote('type') }},
{{ json_extract_scalar('_airbyte_data', ['endAt'], ['endAt']) }} as endat,
{{ json_extract_scalar('_airbyte_data', ['title'], ['title']) }} as title,
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_scalar('_airbyte_data', ['options'], ['options']) }} as {{ adapter.quote('options') }},
{{ json_extract_scalar('_airbyte_data', ['startAt'], ['startAt']) }} as startat,
{{ json_extract_scalar('_airbyte_data', ['applyFor'], ['applyFor']) }} as applyfor,
{{ json_extract_scalar('_airbyte_data', ['quantity'], ['quantity']) }} as quantity,
{{ json_extract_scalar('_airbyte_data', ['articleID'], ['articleID']) }} as articleid,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
{{ json_extract_scalar('_airbyte_data', ['sharePercent'], ['sharePercent']) }} as sharepercent,
{{ json_extract_scalar('_airbyte_data', ['conditionForUser'], ['conditionForUser']) }} as conditionforuser,
{{ json_extract_scalar('_airbyte_data', ['isUnlimitedQuantity'], ['isUnlimitedQuantity']) }} as isunlimitedquantity,
{{ json_extract_scalar('_airbyte_data', ['isApplyForOrderWholesale'], ['isApplyForOrderWholesale']) }} as isapplyfororderwholesale,
{{ json_extract_scalar('_airbyte_data', ['supplierCommission'], ['supplierCommission']) }} as suppliercommission,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_promotions') }} as table_alias
-- promotions
where 1 = 1

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@ -1,35 +0,0 @@
{{ 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('promotions_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(rest as {{ dbt_utils.type_float() }}) as rest,
cast({{ adapter.quote('type') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('type') }},
cast(endat as {{ dbt_utils.type_string() }}) as endat,
cast(title as {{ dbt_utils.type_string() }}) as title,
{{ cast_to_boolean('active') }} as active,
cast({{ adapter.quote('options') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('options') }},
cast(startat as {{ dbt_utils.type_string() }}) as startat,
cast(applyfor as {{ dbt_utils.type_string() }}) as applyfor,
cast(quantity as {{ dbt_utils.type_float() }}) as quantity,
cast(articleid as {{ dbt_utils.type_string() }}) as articleid,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
cast(sharepercent as {{ dbt_utils.type_string() }}) as sharepercent,
cast(conditionforuser as {{ dbt_utils.type_string() }}) as conditionforuser,
{{ cast_to_boolean('isunlimitedquantity') }} as isunlimitedquantity,
{{ cast_to_boolean('isapplyfororderwholesale') }} as isapplyfororderwholesale,
cast(supplierCommission as {{ dbt_utils.type_string() }}) as supplierCommission,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('promotions_ab1') }}
-- promotions
where 1 = 1

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@ -1,35 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('promotions_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'rest',
adapter.quote('type'),
'endat',
'title',
boolean_to_string('active'),
adapter.quote('options'),
'startat',
'applyfor',
'quantity',
'articleid',
'createdat',
'updatedat',
'searchstring',
'sharepercent',
'conditionforuser',
boolean_to_string('isunlimitedquantity'),
boolean_to_string('isapplyfororderwholesale'),
'supplierCommission',
]) }} as _airbyte_promotions_hashid,
tmp.*
from {{ ref('promotions_ab2') }} tmp
-- promotions
where 1 = 1

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@ -1,21 +0,0 @@
{{ 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_referrals') }}
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', ['invitee'], ['invitee']) }} as invitee,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['fromSystem'], ['fromSystem']) }} as fromsystem,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_referrals') }} as table_alias
-- referrals
where 1 = 1

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@ -1,21 +0,0 @@
{{ 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('referrals_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
cast(invitee as {{ dbt_utils.type_string() }}) as invitee,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
{{ cast_to_boolean('fromsystem') }} as fromsystem,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('referrals_ab1') }}
-- referrals
where 1 = 1

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@ -1,21 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('referrals_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('user'),
'invitee',
'createdat',
boolean_to_string('fromsystem'),
]) }} as _airbyte_referrals_hashid,
tmp.*
from {{ ref('referrals_ab2') }} tmp
-- referrals
where 1 = 1

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@ -1,21 +0,0 @@
{{ 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_social_post_views') }}
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', ['clientIP'], ['clientIP']) }} as clientip,
{{ json_extract_scalar('_airbyte_data', ['lastViewAt'], ['lastViewAt']) }} as lastviewat,
{{ json_extract_scalar('_airbyte_data', ['socialPost'], ['socialPost']) }} as socialpost,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_social_post_views') }} as table_alias
-- social_post_views
where 1 = 1

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@ -1,21 +0,0 @@
{{ 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('social_post_views_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
cast(clientip as {{ dbt_utils.type_string() }}) as clientip,
cast(lastviewat as {{ dbt_utils.type_string() }}) as lastviewat,
cast(socialpost as {{ dbt_utils.type_string() }}) as socialpost,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('social_post_views_ab1') }}
-- social_post_views
where 1 = 1

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@ -1,21 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('social_post_views_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('user'),
'clientip',
'lastviewat',
'socialpost',
]) }} as _airbyte_social_post_views_hashid,
tmp.*
from {{ ref('social_post_views_ab2') }} tmp
-- social_post_views
where 1 = 1

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@ -1,43 +0,0 @@
{{ 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_social_posts') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_array('_airbyte_data', ['tags'], ['tags']) }} as tags,
{{ json_extract_scalar('_airbyte_data', ['isPin'], ['isPin']) }} as ispin,
{{ json_extract_scalar('_airbyte_data', ['order'], ['order']) }} as {{ adapter.quote('order') }},
{{ json_extract_scalar('_airbyte_data', ['title'], ['title']) }} as title,
{{ json_extract_scalar('_airbyte_data', ['author'], ['author']) }} as author,
{{ json_extract_array('_airbyte_data', ['cities'], ['cities']) }} as cities,
{{ json_extract_array('_airbyte_data', ['photos'], ['photos']) }} as photos,
{{ json_extract_scalar('_airbyte_data', ['reason'], ['reason']) }} as reason,
{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
{{ json_extract_array('_airbyte_data', ['videos'], ['videos']) }} as videos,
{{ json_extract_scalar('_airbyte_data', ['content'], ['content']) }} as {{ adapter.quote('content') }},
{{ json_extract_scalar('_airbyte_data', ['isTimer'], ['isTimer']) }} as istimer,
{{ json_extract_scalar('_airbyte_data', ['startAt'], ['startAt']) }} as startat,
{{ json_extract_array('_airbyte_data', ['products'], ['products']) }} as products,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['hasUpdate'], ['hasUpdate']) }} as hasupdate,
{{ json_extract_scalar('_airbyte_data', ['statistic'], ['statistic']) }} as statistic,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_array('_airbyte_data', ['categories'], ['categories']) }} as categories,
{{ json_extract_scalar('_airbyte_data', ['fromSystem'], ['fromSystem']) }} as fromsystem,
{{ json_extract_scalar('_airbyte_data', ['contributor'], ['contributor']) }} as contributor,
{{ json_extract_scalar('_airbyte_data', ['publishedAt'], ['publishedAt']) }} as publishedat,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
{{ json_extract_scalar('_airbyte_data', ['updatedCount'], ['updatedCount']) }} as updatedcount,
{{ json_extract_scalar('_airbyte_data', ['shareStatistic'], ['shareStatistic']) }} as sharestatistic,
{{ json_extract_scalar('_airbyte_data', ['enableNotificationForContributor'], ['enableNotificationForContributor']) }} as enablenotificationforcontributor,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_social_posts') }} as table_alias
-- social_posts
where 1 = 1

View File

@ -1,43 +0,0 @@
{{ 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('social_posts_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
tags,
{{ cast_to_boolean('ispin') }} as ispin,
cast({{ adapter.quote('order') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('order') }},
cast(title as {{ dbt_utils.type_string() }}) as title,
cast(author as {{ dbt_utils.type_string() }}) as author,
cities,
photos,
cast(reason as {{ dbt_utils.type_string() }}) as reason,
cast(status as {{ dbt_utils.type_string() }}) as status,
videos,
cast({{ adapter.quote('content') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('content') }},
{{ cast_to_boolean('istimer') }} as istimer,
cast(startat as {{ dbt_utils.type_string() }}) as startat,
products,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
{{ cast_to_boolean('hasupdate') }} as hasupdate,
cast(statistic as {{ dbt_utils.type_string() }}) as statistic,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
categories,
{{ cast_to_boolean('fromsystem') }} as fromsystem,
cast(contributor as {{ dbt_utils.type_string() }}) as contributor,
cast(publishedat as {{ dbt_utils.type_string() }}) as publishedat,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
cast(updatedcount as {{ dbt_utils.type_float() }}) as updatedcount,
cast(sharestatistic as {{ dbt_utils.type_string() }}) as sharestatistic,
{{ cast_to_boolean('enablenotificationforcontributor') }} as enablenotificationforcontributor,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('social_posts_ab1') }}
-- social_posts
where 1 = 1

View File

@ -1,43 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('social_posts_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
array_to_string('tags'),
boolean_to_string('ispin'),
adapter.quote('order'),
'title',
'author',
array_to_string('cities'),
array_to_string('photos'),
'reason',
'status',
array_to_string('videos'),
adapter.quote('content'),
boolean_to_string('istimer'),
'startat',
array_to_string('products'),
'createdat',
boolean_to_string('hasupdate'),
'statistic',
'updatedat',
array_to_string('categories'),
boolean_to_string('fromsystem'),
'contributor',
'publishedat',
'searchstring',
'updatedcount',
'sharestatistic',
boolean_to_string('enablenotificationforcontributor'),
]) }} as _airbyte_social_posts_hashid,
tmp.*
from {{ ref('social_posts_ab2') }} tmp
-- social_posts
where 1 = 1

View File

@ -1,40 +0,0 @@
{{ 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_suppliers') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['tax'], ['tax']) }} as tax,
{{ json_extract_scalar('_airbyte_data', ['bank'], ['bank']) }} as bank,
{{ json_extract_scalar('_airbyte_data', ['logo'], ['logo']) }} as logo,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_scalar('_airbyte_data', ['checkSum'], ['checkSum']) }} as checksum,
{{ json_extract_scalar('_airbyte_data', ['checksum'], ['checksum']) }} as checksum_1,
{{ json_extract_scalar('_airbyte_data', ['location'], ['location']) }} as {{ adapter.quote('location') }},
{{ json_extract_array('_airbyte_data', ['contracts'], ['contracts']) }} as contracts,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_array('_airbyte_data', ['documents'], ['documents']) }} as documents,
{{ json_extract_scalar('_airbyte_data', ['statistic'], ['statistic']) }} as statistic,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_array('_airbyte_data', ['categories'], ['categories']) }} as categories,
{{ json_extract_array('_airbyte_data', ['inventories'], ['inventories']) }} as inventories,
{{ json_extract_scalar('_airbyte_data', ['identifyCode'], ['identifyCode']) }} as identifycode,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
{{ json_extract_scalar('_airbyte_data', ['contractNumber'], ['contractNumber']) }} as contractnumber,
{{ json_extract_scalar('_airbyte_data', ['reviewStatistic'], ['reviewStatistic']) }} as reviewstatistic,
{{ json_extract_scalar('_airbyte_data', ['contractSignedAt'], ['contractSignedAt']) }} as contractsignedat,
{{ json_extract_array('_airbyte_data', ['emailForInvoices'], ['emailForInvoices']) }} as emailforinvoices,
{{ json_extract_scalar('_airbyte_data', ['contractExpiredAt'], ['contractExpiredAt']) }} as contractexpiredat,
{{ json_extract_scalar('_airbyte_data', ['sendInvoiceRequestEveryDay'], ['sendInvoiceRequestEveryDay']) }} as sendinvoicerequesteveryday,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_suppliers') }} as table_alias
-- suppliers
where 1 = 1

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@ -1,40 +0,0 @@
{{ 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('suppliers_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(tax as {{ dbt_utils.type_string() }}) as tax,
cast(bank as {{ dbt_utils.type_string() }}) as bank,
cast(logo as {{ dbt_utils.type_string() }}) as logo,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
{{ cast_to_boolean('active') }} as active,
cast(checksum as {{ dbt_utils.type_string() }}) as checksum,
cast(checksum_1 as {{ dbt_utils.type_string() }}) as checksum_1,
cast({{ adapter.quote('location') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('location') }},
contracts,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
documents,
cast(statistic as {{ dbt_utils.type_string() }}) as statistic,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
categories,
inventories,
cast(identifycode as {{ dbt_utils.type_float() }}) as identifycode,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
cast(contractnumber as {{ dbt_utils.type_string() }}) as contractnumber,
cast(reviewstatistic as {{ dbt_utils.type_string() }}) as reviewstatistic,
cast(contractsignedat as {{ dbt_utils.type_string() }}) as contractsignedat,
emailforinvoices,
cast(contractexpiredat as {{ dbt_utils.type_string() }}) as contractexpiredat,
{{ cast_to_boolean('sendinvoicerequesteveryday') }} as sendinvoicerequesteveryday,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('suppliers_ab1') }}
-- suppliers
where 1 = 1

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@ -1,40 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('suppliers_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'tax',
'bank',
'logo',
adapter.quote('name'),
boolean_to_string('active'),
'checksum',
'checksum_1',
adapter.quote('location'),
array_to_string('contracts'),
'createdat',
array_to_string('documents'),
'statistic',
'updatedat',
array_to_string('categories'),
array_to_string('inventories'),
'identifycode',
'searchstring',
'contractnumber',
'reviewstatistic',
'contractsignedat',
array_to_string('emailforinvoices'),
'contractexpiredat',
boolean_to_string('sendinvoicerequesteveryday'),
]) }} as _airbyte_suppliers_hashid,
tmp.*
from {{ ref('suppliers_ab2') }} tmp
-- suppliers
where 1 = 1

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@ -1,23 +0,0 @@
{{ 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_team_activities') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['team'], ['team']) }} as team,
{{ json_extract_scalar('_airbyte_data', ['action'], ['action']) }} as {{ adapter.quote('action') }},
{{ json_extract_scalar('_airbyte_data', ['options'], ['options']) }} as {{ adapter.quote('options') }},
{{ json_extract_scalar('_airbyte_data', ['targetId'], ['targetId']) }} as targetid,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['createdBy'], ['createdBy']) }} as createdby,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_team_activities') }} as table_alias
-- team_activities
where 1 = 1

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@ -1,23 +0,0 @@
{{ 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('team_activities_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(team as {{ dbt_utils.type_string() }}) as team,
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(targetid as {{ dbt_utils.type_string() }}) as targetid,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(createdby as {{ dbt_utils.type_string() }}) as createdby,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('team_activities_ab1') }}
-- team_activities
where 1 = 1

View File

@ -1,23 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('team_activities_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'team',
adapter.quote('action'),
adapter.quote('options'),
'targetid',
'createdat',
'createdby',
]) }} as _airbyte_team_activities_hashid,
tmp.*
from {{ ref('team_activities_ab2') }} tmp
-- team_activities
where 1 = 1

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@ -1,29 +0,0 @@
{{ 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_team_bonus') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['team'], ['team']) }} as team,
{{ json_extract_scalar('_airbyte_data', ['user'], ['user']) }} as {{ adapter.quote('user') }},
{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
{{ json_extract_scalar('_airbyte_data', ['percent'], ['percent']) }} as {{ adapter.quote('percent') }},
{{ json_extract_scalar('_airbyte_data', ['targetId'], ['targetId']) }} as targetid,
{{ json_extract_scalar('_airbyte_data', ['teamName'], ['teamName']) }} as teamname,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['teamLevel'], ['teamLevel']) }} as teamlevel,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['commission'], ['commission']) }} as commission,
{{ json_extract_scalar('_airbyte_data', ['teamMember'], ['teamMember']) }} as teammember,
{{ json_extract_scalar('_airbyte_data', ['teamPromotion'], ['teamPromotion']) }} as teampromotion,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_team_bonus') }} as table_alias
-- team_bonus
where 1 = 1

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@ -1,29 +0,0 @@
{{ 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('team_bonus_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(team as {{ dbt_utils.type_string() }}) as team,
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
cast(status as {{ dbt_utils.type_string() }}) as status,
cast({{ adapter.quote('percent') }} as {{ dbt_utils.type_float() }}) as {{ adapter.quote('percent') }},
cast(targetid as {{ dbt_utils.type_string() }}) as targetid,
cast(teamname as {{ dbt_utils.type_string() }}) as teamname,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(teamlevel as {{ dbt_utils.type_float() }}) as teamlevel,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(commission as {{ dbt_utils.type_float() }}) as commission,
cast(teammember as {{ dbt_utils.type_string() }}) as teammember,
cast(teampromotion as {{ dbt_utils.type_string() }}) as teampromotion,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('team_bonus_ab1') }}
-- team_bonus
where 1 = 1

View File

@ -1,29 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('team_bonus_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'team',
adapter.quote('user'),
'status',
adapter.quote('percent'),
'targetid',
'teamname',
'createdat',
'teamlevel',
'updatedat',
'commission',
'teammember',
'teampromotion',
]) }} as _airbyte_team_bonus_hashid,
tmp.*
from {{ ref('team_bonus_ab2') }} tmp
-- team_bonus
where 1 = 1

View File

@ -1,31 +0,0 @@
{{ 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_team_members') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['role'], ['role']) }} as {{ adapter.quote('role') }},
{{ json_extract_scalar('_airbyte_data', ['team'], ['team']) }} as team,
{{ json_extract_scalar('_airbyte_data', ['user'], ['user']) }} as {{ adapter.quote('user') }},
{{ json_extract_scalar('_airbyte_data', ['isLeft'], ['isLeft']) }} as isleft,
{{ json_extract_scalar('_airbyte_data', ['leftAt'], ['leftAt']) }} as leftat,
{{ json_extract_scalar('_airbyte_data', ['joinedAt'], ['joinedAt']) }} as joinedat,
{{ json_extract_scalar('_airbyte_data', ['roleCode'], ['roleCode']) }} as rolecode,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['statistic'], ['statistic']) }} as statistic,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['isRemovedBy'], ['isRemovedBy']) }} as isremovedby,
{{ json_extract_scalar('_airbyte_data', ['firstOrderAt'], ['firstOrderAt']) }} as firstorderat,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
{{ json_extract_scalar('_airbyte_data', ['isMemberHomegrown'], ['isMemberHomegrown']) }} as ismemberhomegrown,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_team_members') }} as table_alias
-- team_members
where 1 = 1

View File

@ -1,31 +0,0 @@
{{ 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('team_members_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast({{ adapter.quote('role') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('role') }},
cast(team as {{ dbt_utils.type_string() }}) as team,
cast({{ adapter.quote('user') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('user') }},
{{ cast_to_boolean('isleft') }} as isleft,
cast(leftat as {{ dbt_utils.type_string() }}) as leftat,
cast(joinedat as {{ dbt_utils.type_string() }}) as joinedat,
cast(rolecode as {{ dbt_utils.type_float() }}) as rolecode,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(statistic as {{ dbt_utils.type_string() }}) as statistic,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(isremovedby as {{ dbt_utils.type_string() }}) as isremovedby,
cast(firstorderat as {{ dbt_utils.type_string() }}) as firstorderat,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
{{ cast_to_boolean('ismemberhomegrown') }} as ismemberhomegrown,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('team_members_ab1') }}
-- team_members
where 1 = 1

View File

@ -1,31 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('team_members_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
adapter.quote('role'),
'team',
adapter.quote('user'),
boolean_to_string('isleft'),
'leftat',
'joinedat',
'rolecode',
'createdat',
'statistic',
'updatedat',
'isremovedby',
'firstorderat',
'searchstring',
boolean_to_string('ismemberhomegrown'),
]) }} as _airbyte_team_members_hashid,
tmp.*
from {{ ref('team_members_ab2') }} tmp
-- team_members
where 1 = 1

View File

@ -1,34 +0,0 @@
{{ 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_teams') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['code'], ['code']) }} as code,
{{ json_extract_scalar('_airbyte_data', ['desc'], ['desc']) }} as {{ adapter.quote('desc') }},
{{ json_extract_scalar('_airbyte_data', ['logo'], ['logo']) }} as logo,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['level'], ['level']) }} as {{ adapter.quote('level') }},
{{ json_extract_scalar('_airbyte_data', ['active'], ['active']) }} as active,
{{ json_extract_scalar('_airbyte_data', ['isFull'], ['isFull']) }} as isfull,
{{ json_extract_scalar('_airbyte_data', ['cityCode'], ['cityCode']) }} as citycode,
{{ json_extract_scalar('_airbyte_data', ['adminUser'], ['adminUser']) }} as adminuser,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['statistic'], ['statistic']) }} as statistic,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['inviteLink'], ['inviteLink']) }} as invitelink,
{{ json_extract_scalar('_airbyte_data', ['information'], ['information']) }} as information,
{{ json_extract_scalar('_airbyte_data', ['searchString'], ['searchString']) }} as searchstring,
{{ json_extract_scalar('_airbyte_data', ['inactiveReason'], ['inactiveReason']) }} as inactivereason,
{{ json_extract_scalar('_airbyte_data', ['changingNameCount'], ['changingNameCount']) }} as changingnamecount,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_teams') }} as table_alias
-- teams
where 1 = 1

View File

@ -1,34 +0,0 @@
{{ 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('teams_ab1') }}
select
cast(_id as {{ dbt_utils.type_string() }}) as _id,
cast(code as {{ dbt_utils.type_string() }}) as code,
cast({{ adapter.quote('desc') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('desc') }},
cast(logo as {{ dbt_utils.type_string() }}) as logo,
cast({{ adapter.quote('name') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('name') }},
cast({{ adapter.quote('level') }} as {{ dbt_utils.type_string() }}) as {{ adapter.quote('level') }},
{{ cast_to_boolean('active') }} as active,
{{ cast_to_boolean('isfull') }} as isfull,
cast(citycode as {{ dbt_utils.type_float() }}) as citycode,
cast(adminuser as {{ dbt_utils.type_string() }}) as adminuser,
cast(createdat as {{ dbt_utils.type_string() }}) as createdat,
cast(statistic as {{ dbt_utils.type_string() }}) as statistic,
cast(updatedat as {{ dbt_utils.type_string() }}) as updatedat,
cast(invitelink as {{ dbt_utils.type_string() }}) as invitelink,
cast(information as {{ dbt_utils.type_string() }}) as information,
cast(searchstring as {{ dbt_utils.type_string() }}) as searchstring,
cast(inactivereason as {{ dbt_utils.type_string() }}) as inactivereason,
cast(changingnamecount as {{ dbt_utils.type_float() }}) as changingnamecount,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ ref('teams_ab1') }}
-- teams
where 1 = 1

View File

@ -1,34 +0,0 @@
{{ config(
indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
unique_key = '_airbyte_ab_id',
schema = "_airbyte_unibag",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
-- depends_on: {{ ref('teams_ab2') }}
select
{{ dbt_utils.surrogate_key([
'_id',
'code',
adapter.quote('desc'),
'logo',
adapter.quote('name'),
adapter.quote('level'),
boolean_to_string('active'),
boolean_to_string('isfull'),
'citycode',
'adminuser',
'createdat',
'statistic',
'updatedat',
'invitelink',
'information',
'searchstring',
'inactivereason',
'changingnamecount',
]) }} as _airbyte_teams_hashid,
tmp.*
from {{ ref('teams_ab2') }} tmp
-- teams
where 1 = 1

View File

@ -1,38 +0,0 @@
{{ 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_identifications') }}
select
{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
{{ json_extract_scalar('_airbyte_data', ['dob'], ['dob']) }} as dob,
{{ json_extract_scalar('_airbyte_data', ['name'], ['name']) }} as {{ adapter.quote('name') }},
{{ json_extract_scalar('_airbyte_data', ['note'], ['note']) }} as note,
{{ 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', ['gender'], ['gender']) }} as gender,
{{ json_extract_scalar('_airbyte_data', ['nation'], ['nation']) }} as nation,
{{ json_extract_scalar('_airbyte_data', ['number'], ['number']) }} as {{ adapter.quote('number') }},
{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
{{ json_extract_scalar('_airbyte_data', ['address'], ['address']) }} as address,
{{ json_extract_scalar('_airbyte_data', ['dobDate'], ['dobDate']) }} as dobdate,
{{ json_extract_scalar('_airbyte_data', ['backSide'], ['backSide']) }} as backside,
{{ json_extract_scalar('_airbyte_data', ['birthday'], ['birthday']) }} as birthday,
{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
{{ json_extract_scalar('_airbyte_data', ['frontSide'], ['frontSide']) }} as frontside,
{{ json_extract_scalar('_airbyte_data', ['issueDate'], ['issueDate']) }} as issuedate,
{{ json_extract_scalar('_airbyte_data', ['updatedAt'], ['updatedAt']) }} as updatedat,
{{ json_extract_scalar('_airbyte_data', ['expiryDate'], ['expiryDate']) }} as expirydate,
{{ json_extract_scalar('_airbyte_data', ['issuePlace'], ['issuePlace']) }} as issueplace,
{{ json_extract_scalar('_airbyte_data', ['timeUpdate'], ['timeUpdate']) }} as timeupdate,
{{ json_extract_scalar('_airbyte_data', ['detectInformation'], ['detectInformation']) }} as detectinformation,
_airbyte_ab_id,
_airbyte_emitted_at,
{{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_user_identifications') }} as table_alias
-- user_identifications
where 1 = 1

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