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SQL Explorer Cookbook

Query Hyperliquid on-chain data with standard SQL using Quicknode SQL Explorer.

Framework/Biblioteca de front-end:
Reagir
Idioma:
TypeScript
Ferramenta de compilação/Servidor de desenvolvimento:
Next.js
Pré-visualização da aplicação de exemplo

Visão geral

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.

Arquitetura

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

Características


  • 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

Pré-requisitos


Estrutura do projeto

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

Variáveis de ambiente

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

Introdução

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 install

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 run dev

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

Pontos de acesso da API


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

Pré-visualização

Painel de controlo

Pre-built Queries

Wallet Activity

Recompensas para Validadores

Liquidações


Utilização

  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"],
},
}
Contribuições e comentários
Adoraríamos receber os vossos comentários e agradecemos quaisquer contribuições para esta aplicação de exemplo!
Para comunicar problemas ou partilhar comentários, abra uma issue no GitHub na qn-guia-exemplos repositório.
Para contribuir, siga estes passos:
  1. Fazer um fork do repositório
  2. Criar um ramo de funcionalidades:
    git checkout -b feature/amazing-feature
  3. Envie as suas alterações:
    git commit -m "Adicionar uma funcionalidade fantástica"
  4. Envie o seu branch:
    git push origin feature/amazing-feature
  5. Abrir um Pull Request.