Studi Kasus: Membangun Model Data E-Commerce dengan dbt
Susan Sun
Freelance Data Scientist
dbt menggunakan tiga bahasa:
Contoh SQL:
SELECT * FROM ...
Contoh YAML:
- name: customers
description: A data mart
Contoh Jinja:
FROM {{ ref('stg_looker__users') }}
Apa itu dbt Jinja?
Mengapa berguna?
Contoh Jinja di dbt:
Merujuk model dbt
SELECT *
FROM {{ ref('stg_looker__users') }}
Membuat loop
{% for column in ['col1', 'col2'] %}
SELECT {{ column }}
FROM table_name
{% endfor %}
{%...%} {% set order_statuses = ['Shipped', 'Complete', 'Processing'] %}
{{...}} SELECT * FROM {{ ref('stg_looker__users') }}
{# #} {# This is a comment #}
Jenis statement Jinja: set, loop, conditional (if/else), macro, dll.
Statement set membuat variabel dan memberi nilai.
{% set ... %}
{% set country = 'Australia' %}
Penggunaan
customers.sql, seperti ini:{% set country = 'Australia' %}
SELECT ...
FROM ...
WHERE country = '{{ country }}'
Kode terkompilasi
dbt compile -s customers.sql:
SELECT ...
FROM ...
WHERE country = 'Australia'
dbt compile -s customers.sql:Running with dbt=1.8.4
...
Compiled node 'customers' is:
WITH customer_base AS (
SELECT
...
FROM "dbt"."main"."stg_looker__users"
WHERE country = 'Australia'
)
...
/target/compiled yang dihasilkandbt compile membuat berkas terkompilasi:
Studi Kasus: Membangun Model Data E-Commerce dengan dbt