Case Study: dbt के साथ E-Commerce Data Models बनाना
Susan Sun
Freelance Data Scientist
_<data source>__<asset>.yml
looker_ecommerce/
macros/
models/
_looker__models.yml <------
_looker__sources.yml <------
stg_looker__distribution_center.sql
stg_looker__orders.sql
seeds/
looker__distribution_center.csv
Sample _looker__models.yml:
version: 2
models:
- name: model_name
description: This is a table
columns:
- name: column_name
description: This is a column
- name: column_name
description: This is a column
नोट:
version: 2 dbt द्वारा उपयोग किया जाने वाला schema configuration फॉर्मेट हैmodels बताता है कि यह user-defined किस asset को डॉक्युमेंट कर रहा है1.unique: हर row का मान unique हो
- name: table_name
columns:
- name: column_name
data_tests:
- not_null
...
2.not_null: किसी row में null मान न हो
- name: table_name
columns:
- name: column_name
data_tests:
- unique
- not_null
- name: column_name
data_tests:
- unique
3.accepted_values: केवल सूची के मान स्वीकार हों
- name: table_name
columns:
- name: column_name
data_tests:
- accepted_values:
values: ['value_a', 'value_b', 'value_c', NULL]
4.relationships: टेबलों के बीच referential integrity (foreign key)
- name: table_1
columns:
- name: column_1
data_tests:
- relationships:
to: ref('table_2')
field: column_2
Case Study: dbt के साथ E-Commerce Data Models बनाना