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SQL Explorer Cookbook
Query Hyperliquid on-chain data with standard SQL using Quicknode SQL Explorer.
Frontend-Framework/Bibliothek:
Reagieren
Sprache:
TypeScript
Build-Tool/Entwicklungsserver:
Next.js
Übersicht
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.
Architektur
Browser (Next.js frontend)
-> /api/query (server-side proxy route)
-> Quicknode SQL Explorer REST API
-> Returns structured rows
-> Table view + Chart visualization
Funktionen
- 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
Voraussetzungen
- Node.js 20+
- A Quicknode account with an API key that has the SQL application enabled (create one here)
Projektstruktur
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
Umgebungsvariablen
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
Erste Schritte
1. Clone the repository
git clone https://github.com/quiknode-labs/qn-guide-examples.git
cd sample-dapps/sql-explorer-cookbook
2. Abhängigkeiten installieren
npm installieren
3. Configure environment variables
cp .env.example .env.local
Bearbeiten .env.local with your Quicknode API key and endpoint details.
4. Start the development server
npm run dev
Open http://localhost:3000 to start exploring queries.
API-Endpunkte
POST /api/query— Server-side proxy that forwards SQL queries to the Quicknode SQL Explorer REST API and returns results
Vorschau
Verwendung
- 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.
- Run a query — Click run to execute the SQL against Hyperliquid on-chain data. Results appear as a sortable table or chart.
- Customize parameters — Some queries accept dynamic inputs like wallet addresses, validators, or coin symbols. Click Try sample to populate example values, then re-run.
- 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"],
},
}
Beiträge & Feedback
Wir würden uns sehr über Ihr Feedback freuen und begrüßen jeden Beitrag zu dieser Beispiel-App!
Um Probleme zu melden oder Feedback zu geben, eröffne ein GitHub-Issue im qn-Anleitung-Beispiele Repository.
Um einen Beitrag zu leisten, gehen Sie bitte wie folgt vor:
- Das Repository forken
- Erstelle einen Feature-Branch:git checkout -b feature/amazing-feature
- Speichere deine Änderungen:git commit -m "Tolle Funktion hinzufügen"
- Deinen Branch pushen:git push origin feature/amazing-feature
- Erstelle einen Pull Request.
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