Aggregate
BigQuery
STRING_AGG
Menggabungkan nilai string dari beberapa baris menjadi satu string dengan delimiter tertentu. Sangat berguna untuk membuat daftar atau comma-separated values di BigQuery.
Tipe hasil:
STRINGDiperbarui: 7 Jan 2026Syntax
SQL
STRING_AGG([DISTINCT] expression [, delimiter] [ORDER BY key])Parameter
expressionSTRINGwajib
Kolom atau ekspresi string yang akan digabungkan
delimiterSTRINGopsional
Pemisah antar nilai (default: koma ',')
Default: ','
DISTINCTmodifieropsional
Hanya gabungkan nilai unik
ORDER BYclauseopsional
Mengurutkan nilai sebelum digabungkan
Contoh Penggunaan
Menggabungkan Nama Produk
SQL
1 SELECT 2 customer_id, 3 STRING_AGG(product_name, ', ') as purchased_products 4 FROM `project.dataset.orders` 5 GROUP BY customer_id 6 LIMIT 3;
Membuat daftar produk yang dibeli per customer.
Hasil
| customer_id | purchased_products |
|---|---|
| C001 | Laptop, Mouse, Keyboard |
| C002 | Monitor, USB Hub |
| C003 | Headphone, Webcam, Microphone |
STRING_AGG dengan ORDER BY
SQL
1 SELECT 2 department, 3 STRING_AGG(employee_name, '; ' ORDER BY hire_date) as employees_by_seniority 4 FROM `project.dataset.employees` 5 GROUP BY department;
Menggabungkan nama karyawan diurutkan berdasarkan tanggal masuk.
Hasil
| department | employees_by_seniority |
|---|---|
| Engineering | Alice; Bob; Charlie; Diana |
| Marketing | Eve; Frank; Grace |
STRING_AGG dengan DISTINCT
SQL
1 SELECT 2 order_date, 3 STRING_AGG(DISTINCT category, ', ' ORDER BY category) as categories_sold 4 FROM `project.dataset.sales` 5 GROUP BY order_date 6 ORDER BY order_date DESC 7 LIMIT 3;
Menampilkan kategori unik yang terjual per hari.
Hasil
| order_date | categories_sold |
|---|---|
| 2024-06-25 | Books, Electronics, Fashion |
| 2024-06-24 | Electronics, Food, Home |
| 2024-06-23 | Books, Fashion, Sports |
Membuat JSON-like String
SQL
1 SELECT 2 user_id, 3 '[' || STRING_AGG('"' || tag || '"', ', ') || ']' as tags_json 4 FROM `project.dataset.user_tags` 5 GROUP BY user_id;
Membuat format JSON array dari tags.
Hasil
| user_id | tags_json |
|---|---|
| U001 | ["python", "sql", "data"] |
| U002 | ["javascript", "react"] |