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Guide pratique de SQL Explorer

Interrogez les données « Hyperliquid à l'aide de requêtes SQL standard via Quicknode Explorer.

Framework/bibliothèque front-end :
Réagir
Langue :
TypeScript
Outil de compilation/serveur de développement :
Next.js
Aperçu de l'application d'exemple

Présentation générale

Quicknode SQL Explorer lets you query on-chain data with standard SQL — no indexers, no subgraphs, just a REST API and your API key. This sample app demonstrates how to integrate SQL Explorer into a frontend, shipping with 40+ ready-to-run queries against Hyperliquid on-chain data with table and chart views so you can see results immediately.

Architecture

Browser (Next.js frontend)
-> /api/query (server-side proxy route)
-> Quicknode SQL Explorer REST API
-> Returns structured rows
-> Table view + Chart visualization

Caractéristiques


  • 40+ pre-built queries organized by category: Trading, Fills, Orders, Funding, Markets, Portfolio & Positions, Staking & Rewards
  • Parameterized queries with dynamic inputs for wallet addresses, validators, and coin symbols
  • Dual result views — sortable/paginated tables and bar/line/area/pie charts
  • Code snippets — copy-paste ready code in SQL, curl, TypeScript, and Python for every query
  • Use-case pages — deeper implementations for validator rewards, wallet activity, and liquidations
  • Server-side API proxy — keeps your API key secure on the backend

Conditions préalables


Structure du projet

src/
app/
api/query/route.ts # Server-side proxy to SQL Explorer API
explorer/page.tsx # Query explorer page
use-cases/
liquidations/page.tsx # Liquidation monitoring use case
validator-rewards/page.tsx # Validator rewards use case
wallet-activity/page.tsx # Wallet activity use case
components/
query/ # Query runner, results table, charts, code snippets
ui/ # Category filter, copy button, theme toggle
use-cases/ # Insights banner, stat highlights
data/queries.ts # All 40+ pre-built query definitions
lib/
sql-explorer.ts # SQL Explorer API client
snippets.ts # Code snippet generators
chart-utils.ts # Chart configuration helpers
hooks/useQueryExecution.ts # Query execution hook

Environment Variables

QUICKNODE_API_KEY=your_api_key_here          # Quicknode API key with SQL enabled
QUICKNODE_SQL_ENDPOINT=https://api.quicknode.com/sql/rest/v1/query # SQL Explorer REST endpoint
QUICKNODE_CLUSTER_ID=hyperliquid-core-mainnet # Target cluster ID

Pour commencer

1. Clone the repository

git clone https://github.com/quiknode-labs/qn-guide-examples.git
cd sample-dapps/sql-explorer-cookbook

2. Install dependencies

npm installer

3. Configure environment variables

cp .env.example .env.local

Edit .env.local with your Quicknode API key and endpoint details.

4. Start the development server

npm exécuter en mode développement

Open http://localhost:3000 to start exploring queries.

API Endpoints


  • POST /api/query — Server-side proxy that forwards SQL queries to the Quicknode SQL Explorer REST API and returns results

Aperçu

Dashboard

Pre-built Queries

Wallet Activity

Validator Rewards

Liquidations


Usage

  1. Pick a starting point — Choose one of the 3 sample use cases (Wallet Activity, Validator Rewards, Liquidations) from the home page, or explore all 40+ pre-built queries in the explorer.
  2. Run a query — Click run to execute the SQL against Hyperliquid on-chain data. Results appear as a sortable table or chart.
  3. Customize parameters — Some queries accept dynamic inputs like wallet addresses, validators, or coin symbols. Click Try sample to populate example values, then re-run.
  4. Copy code snippets — Each query provides copy-paste ready code in SQL, curl, TypeScript, and Python.

Adding Custom Queries

Add entries to src/data/queries.ts:

{
id: "my-query",
title: "My Custom Query",
description: "Description of what this query does",
category: "Trading",
sql: `SELECT * FROM hyperliquid_trades LIMIT 10`,
chartConfig: { // optional
type: "bar",
xKey: "coin",
yKeys: ["volume_usd"],
},
}
Contributions et commentaires
Nous serions ravis de connaître votre avis et nous vous invitons à contribuer à cette application d'exemple !
Pour signaler des problèmes ou faire part de vos commentaires, créez un ticket GitHub dans le qn-guide-exemples référentiel.
Pour contribuer, procédez comme suit :
  1. Créer une branche du dépôt
  2. Créer une branche de fonctionnalité :
    git checkout -b feature/amazing-feature
  3. Validez vos modifications :
    git commit -m "Ajout d'une fonctionnalité géniale"
  4. Publiez votre branche :
    git push origin feature/amazing-feature
  5. Créez une demande de fusion.