Memanfaatkan Ekstensi Postgres
Temukan cara mengaktifkan dan menggunakan ekstensi PostgreSQL yang andal untuk menambahkan fungsi baru, seperti pembuatan UUID atau pencarian teks lengkap.
Memanfaatkan Ekstensi Postgres adalah pelajaran Supabase Backend as a Service gratis di CoddyKit. Ini adalah pelajaran 1 dari 3. Kamu bisa membaca pelajaran lengkapnya di bawah secara gratis — lalu praktikkan langsung di browser dengan editor kode bawaan dan tutor AI 24/7. Ini adalah bagian dari jalur belajar Supabase Backend as a Service, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus Supabase Backend as a Service mencakup 3 pelajaran total.
Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.
What are Postgres Extensions?
PostgreSQL is super powerful, but did you know you can make it even better? That's where extensions come in!
Extensions are like plugins for your database. They add new functions, data types, or operators that aren't available by default.
Supabase, built on PostgreSQL, lets you easily enable many of these extensions to boost your app's capabilities.
Enabling Extensions in Supabase
Turning on an extension in Supabase is straightforward. You usually do it through the SQL Editor in your Supabase Dashboard.
- Go to the SQL Editor.
- Run the command:
CREATE EXTENSION extension_name; - Make sure you have admin privileges for your database.
Once enabled, the new features become available for use across your database.
CREATE EXTENSION "uuid-ossp"; -- Example for UUIDsUnique IDs with `uuid-ossp`
Generating truly unique identifiers is crucial for many applications. PostgreSQL's built-in SERIAL or BIGINT sequences are great for simple auto-incrementing IDs, but they are sequential.
For global uniqueness, especially in distributed systems, Universally Unique Identifiers (UUIDs) are better. The uuid-ossp extension helps generate them.
Using `uuid-ossp`
After enabling uuid-ossp, you can create a table with a UUID primary key. Here's how to create a table and insert a row with a generated UUID:
-- First, ensure the extension is enabled (run once in SQL Editor)
-- CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
CREATE TABLE products (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
name TEXT NOT NULL,
price NUMERIC
);
INSERT INTO products (name, price) VALUES
('Supabase T-Shirt', 25.00),
('Postgres Mug', 12.50);
SELECT id, name FROM products;Fuzzy Search with `pg_trgm`
Have you ever searched for something and misspelled it, but still got relevant results? That's fuzzy search!
The pg_trgm extension helps you perform similarity searches based on trigrams (sequences of three characters). It's great for "did you mean?" features or finding close matches.
Using `pg_trgm` for Similarity
Let's enable pg_trgm and see how to find products with names similar to a search term. We'll use the similarity() function.
-- First, ensure the extension is enabled (run once in SQL Editor)
-- CREATE EXTENSION IF NOT EXISTS pg_trgm;
-- Create a sample table if it doesn't exist
CREATE TABLE IF NOT EXISTS articles (
id SERIAL PRIMARY KEY,
title TEXT NOT NULL
);
TRUNCATE TABLE articles; -- Clear previous data for fresh run
INSERT INTO articles (title) VALUES
('PostgreSQL Best Practices'),
('Supabase Authentication Guide'),
('Understanding Postgres Extensions'),
('Postgres Performance Tips');
-- Find titles similar to 'Postgres Extension'
SELECT title, similarity(title, 'Postgres Extension') AS score
FROM articles
WHERE similarity(title, 'Postgres Extension') > 0.3
ORDER BY score DESC;Key-Value with `hstore`
Sometimes, you need to store flexible, unstructured data, like user preferences or product attributes, without creating many new columns.
The hstore extension provides a data type for storing sets of key/value pairs within a single column. It's like a mini-JSON object, but optimized for simple string key-value storage.
Using `hstore`
Let's add an hstore column to a table and store some flexible data. You can then query it using operators like -> to get a value by key.
-- First, ensure the extension is enabled (run once in SQL Editor)
-- CREATE EXTENSION IF NOT EXISTS hstore;
CREATE TABLE IF NOT EXISTS users (
id SERIAL PRIMARY KEY,
name TEXT NOT NULL,
settings HSTORE
);
TRUNCATE TABLE users; -- Clear previous data for fresh run
INSERT INTO users (name, settings) VALUES
('Alice', 'theme=>dark, notifications=>true'),
('Bob', 'theme=>light, language=>en-US');
-- Query for users with dark theme
SELECT name, settings->'theme' AS user_theme
FROM users
WHERE settings->'theme' = 'dark';Why Use Extensions?
PostgreSQL extensions offer several key benefits:
- Extended Functionality: Add powerful features not available by default.
- Performance: Many are highly optimized C functions, offering great speed.
- Simplicity: Integrate complex logic directly into your database.
However, be mindful of over-reliance and ensure the extension is well-maintained and compatible with your Postgres version.
Extension Check
You've learned about a few powerful PostgreSQL extensions. Let's test your understanding!
Recap: Power Up Your Database!
In this lesson, we explored the world of PostgreSQL extensions! We learned that they are like powerful plugins that enhance your database's capabilities.
- We saw how to enable extensions in Supabase.
- We used
uuid-osspfor generating unique IDs. - We used
pg_trgmfor fuzzy search. - We used
hstorefor flexible key-value storage.
These extensions help you build more robust and feature-rich applications directly within your database!
Pertanyaan yang Sering Diajukan
Apakah pelajaran “Memanfaatkan Ekstensi Postgres” gratis?
Ya — teks lengkap “Memanfaatkan Ekstensi Postgres” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus Supabase Backend as a Service, upgrade ke CoddyKit PRO. Kursus Supabase Backend as a Service mencakup 3 pelajaran total.
Apa yang akan aku pelajari di “Memanfaatkan Ekstensi Postgres”?
Temukan cara mengaktifkan dan menggunakan ekstensi PostgreSQL yang andal untuk menambahkan fungsi baru, seperti pembuatan UUID atau pencarian teks lengkap. Kamu berlatih Supabase Backend as a Service dengan kode praktik yang langsung kamu jalankan di browser, dan tutor AI 24/7 menjawab pertanyaanmu saat kamu mengerjakan pelajaran ini.
Apakah aku perlu pengalaman untuk memulai Supabase Backend as a Service?
Tidak diperlukan pengalaman sebelumnya. Supabase Backend as a Service di CoddyKit dirancang untuk pemula hingga pelajar tingkat lanjut, jadi kamu bisa memulai di sini atau dari awal dan belajar sesuai kecepatan kamu sendiri. Ini adalah pelajaran 1 dari 3.
Berapa lama pelajaran “Memanfaatkan Ekstensi Postgres” memakan waktu?
Sebagian besar pelajaran CoddyKit memakan waktu sekitar 5–10 menit. Setiap pelajaran ringkas dan interaktif, jadi kamu membuat kemajuan stabil dan melanjutkan dari tempat kamu tinggalkan di web dan aplikasi.
Bisakah aku menulis dan menjalankan kode dalam pelajaran Supabase Backend as a Service ini?
Ya. Setiap pelajaran Supabase Backend as a Service menyertakan editor kode bawaan, jadi kamu menulis dan menjalankan kode nyata langsung di browser dan mendapatkan umpan balik AI instan — tidak diperlukan penyiapan lokal.
Semua pelajaran dalam kursus ini
- Memanfaatkan Ekstensi Postgres
- Data Geospasial Lanjutan (PostGIS)
- Pencarian Teks Lengkap dan Penyematan Vektor dengan pgvector