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🦀 ClawHub

database-toolkit

by @qiuwenxi416488212-ship-it

Execute SQL queries, maintain data, perform statistics, and backup SQLite/MySQL databases including local and remote connections.

Versionv1.0.0
Downloads462
TERMINAL
clawhub install database-toolkit

📖 About This Skill

Database Ops - 数据库操作

> SQLite/MySQL数据库直接操作,支持查询/更新/备份 > 最后更新:2026-04-13


功能概述

  • 📊 查询数据:SQL查询执行
  • 🔧 数据维护:增删改数据
  • 💾 备份恢复:数据库备份
  • 📈 统计分析:数据统计分析

  • 支持的数据库

    SQLite(本地)

    路径:
    
  • data/stock_profiles.db
  • data/commodity_options.db
  • data/financial_data.db
  • lottery_v3.db
  • MySQL(远程)

    待配置:
    
  • Host: localhost
  • Port: 3306

  • 核心命令

    1. 查询

    命令:db查询 [SQL]

    示例:

  • db查询 SELECT * FROM stocks LIMIT 10
  • db查询 SELECT code, name FROM stocks WHERE price > 100
  • 2. 统计

    命令:db统计 [表名]

    示例:

  • db统计 stock_profiles
  • db统计 odds_history
  • 3. 备份

    命令:db备份 [数据库]

    示例:

  • db备份 stock_profiles
  • db备份 all
  • 4. 表结构

    命令:db结构 [表名]

    示例:

  • db结构 stocks
  • db结构 odds_history

  • 常用查询模板

    股票数据

    -- 最近采集的股票
    SELECT code, name, price, change_pct 
    FROM stocks 
    ORDER BY update_time DESC LIMIT 10

    -- 涨跌幅排行 SELECT code, name, change_pct FROM stocks ORDER BY change_pct DESC LIMIT 10

    竞彩数据

    -- 最近的推荐
    SELECT league, home_team, away_team, prediction, odds 
    FROM odds_history 
    ORDER BY created_at DESC LIMIT 10

    -- 命中率统计 SELECT league, COUNT(*) as total, SUM(CASE WHEN result = 'win' THEN 1 ELSE 0 END) as wins FROM odds_history GROUP BY league


    注意事项

  • 写操作需谨慎,建议先备份
  • 敏感数据查询需脱敏
  • 定期备份重要数据
  • 大数据量查询注意性能
  • Code Implementation

    Python实现: database_ops.py

    python from database_ops import DatabaseOps, sqlite_query

    创建连接

    db = DatabaseOps('data.db')

    查询

    results = db.execute('SELECT * FROM stocks LIMIT 10')

    插入

    db.insert('stocks', {'code': '000001', 'name': 'Test', 'price': 10.0})

    批量插入

    db.insert_many('stocks', [{'code': '1', 'price': 10}, {'code': '2', 'price': 20}])

    统计

    count = db.count('stocks') stats = db.stats('stocks')

    备份

    backup_path = db.backup('backup.db')

    db.close()

    快速查询

    results = sqlite_query('data.db', 'SELECT * FROM stocks')