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Supabase Backend as a Service · Pelajaran

Penyisipan dan Pengkuerian Data Dasar

Pelajari cara menyisipkan catatan baru, mengambil data, dan memfilter hasil menggunakan pustaka klien Supabase serta editor SQL.

Penyisipan dan Pengkuerian Data Dasar adalah pelajaran Supabase Backend as a Service gratis di CoddyKit. Ini adalah pelajaran 3 dari 4. 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 4 pelajaran total.

Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.

Data Ops: Insert & Query

Welcome! In this lesson, we'll master the basics of interacting with your Supabase database. We'll focus on two crucial operations:

  • Inserting Data: Adding new records.
  • Querying Data: Retrieving existing information.

These skills are essential for building any dynamic application.

Supabase Client: Your Gateway

To interact with your database, you'll use the Supabase client library. Think of it as your application's direct line to Supabase!

For all our examples, we'll assume your supabase client is already initialized and ready. We'll focus on the specific database operations.

Add Data: The `insert()` Method

To add a new row (record) to your table, you'll use the insert() method. You pass it an object where keys match your table's column names.

Supabase handles assigning a unique ID and other default values automatically.

Example: Insert a Single User

Let's insert a new user into a users table. We'll set their name and email. Try running this!

import { createClient } from '@supabase/supabase-js';

// Placeholder client for demonstration
const supabase = createClient('https://your-project.supabase.co', 'your-anon-key');

async function main() {
  console.log("Attempting to insert a single user...");
  const { data, error } = await supabase
    .from('users')
    .insert({
      name: 'Alice Smith',
      email: 'alice@example.com'
    });

  if (error) {
    console.error('Error inserting user:', error.message);
  } else {
    console.log('User inserted successfully:', data);
  }
}

main();

Insert Many: Add Multiple Rows

What if you need to add several records at once? No problem! The insert() method also accepts an array of objects.

Each object in the array represents a new row to be added to your table.

Example: Insert Multiple Users

Here's how to insert two new users in a single operation. Notice we pass an array of objects to insert().

Run this to see it in action!

import { createClient } from '@supabase/supabase-js';

// Placeholder client for demonstration
const supabase = createClient('https://your-project.supabase.co', 'your-anon-key');

async function main() {
  console.log("Attempting to insert multiple users...");
  const { data, error } = await supabase
    .from('users')
    .insert([
      { name: 'Bob Johnson', email: 'bob@example.com' },
      { name: 'Charlie Brown', email: 'charlie@example.com' }
    ]);

  if (error) {
    console.error('Error inserting users:', error.message);
  } else {
    console.log('Users inserted successfully:', data);
  }
}

main();

Get Data: The `select()` Method

To fetch data from your table, you use the select() method. The simplest way to get all columns from all rows is to pass '*' (an asterisk).

This is your go-to for showing lists of data.

Example: Select All Users

Let's retrieve all the users we've inserted into our users table. The data variable will contain an array of user objects.

Run this code to see all users!

import { createClient } from '@supabase/supabase-js';

// Placeholder client for demonstration
const supabase = createClient('https://your-project.supabase.co', 'your-anon-key');

async function main() {
  console.log("Attempting to select all users...");
  const { data, error } = await supabase
    .from('users')
    .select('*');

  if (error) {
    console.error('Error selecting users:', error.message);
  } else {
    console.log('All users:', data);
  }
}

main();

Filter Data: `eq()` for Precision

Often, you don't need all data. You want specific records. The eq() method allows you to filter results where a column's value equals a specific value.

It's perfect for finding a user by their ID or email.

Example: Filter Users by Email

Let's find a user with a specific email address. We'll use eq('email', 'alice@example.com') to narrow down our search.

Run this and see if Alice is found!

import { createClient } from '@supabase/supabase-js';

// Placeholder client for demonstration
const supabase = createClient('https://your-project.supabase.co', 'your-anon-key');

async function main() {
  console.log("Attempting to find user by email...");
  const { data, error } = await supabase
    .from('users')
    .select('*')
    .eq('email', 'alice@example.com');

  if (error) {
    console.error('Error finding user:', error.message);
  } else {
    console.log('User found:', data);
  }
}

main();

Quick Check: Insert & Query

Imagine you have a products table. You want to add a new product named "Keyboard" with a price of 75, and then immediately retrieve all products that have a price of 75.

Which sequence of Supabase client calls is correct?

Recap: Insert & Query Mastery

Great job! You've learned the fundamental operations for managing data in Supabase:

  • .insert(): For adding one or many new records to a table.
  • .select('*'): For retrieving all columns from all rows.
  • .eq(): For filtering your queries to find specific records.

These methods form the backbone of interacting with your Supabase database. Next, we'll explore more advanced querying techniques!

Pertanyaan yang Sering Diajukan

Apakah pelajaran “Penyisipan dan Pengkuerian Data Dasar” gratis?

Ya — teks lengkap “Penyisipan dan Pengkuerian Data Dasar” 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 4 pelajaran total.

Apa yang akan aku pelajari di “Penyisipan dan Pengkuerian Data Dasar”?

Pelajari cara menyisipkan catatan baru, mengambil data, dan memfilter hasil menggunakan pustaka klien Supabase serta editor SQL. 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 3 dari 4.

Berapa lama pelajaran “Penyisipan dan Pengkuerian Data Dasar” 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

  1. Merancang Skema Basis Data
  2. Membuat Tabel dan Kolom
  3. Penyisipan dan Pengkuerian Data Dasar
  4. Relasi dan Kunci Asing
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