Rust数据库方言支持库sqruff-lib-dialects的使用,提供多数据库SQL语法解析与转换功能

Rust数据库方言支持库sqruff-lib-dialects的使用,提供多数据库SQL语法解析与转换功能

安装

在项目目录中运行以下Cargo命令:

cargo add sqruff-lib-dialects

或者在Cargo.toml中添加以下行:

sqruff-lib-dialects = "0.29.2"

基本使用示例

以下是使用sqruff-lib-dialects进行SQL语法解析和转换的完整示例:

use sqruff_lib_dialects::{
    Dialect, GenericDialect, PostgresDialect, 
    parser::Parser, 
    ast::Statement,
    convert::convert_sql
};

fn main() {
    // 1. 解析SQL语句
    let sql = "SELECT id, name FROM users WHERE age > 25";
    
    // 使用通用方言解析
    let dialect = GenericDialect {};
    let mut parser = Parser::new(&dialect);
    let stmts = parser.parse_sql(sql).unwrap();
    
    // 2. 转换为PostgreSQL方言
    let pg_dialect = PostgresDialect {};
    let converted = convert_sql(&stmts[0], &dialect, &pg_dialect).unwrap();
    
    println!("Original SQL: {}", sql);
    println!("Converted to PostgreSQL: {}", converted);
}

高级功能示例

use sqruff_lib_dialects::{
    Dialect, BigQueryDialect, SnowflakeDialect,
    parser::Parser,
    convert::convert_sql,
    error::Result
};

fn convert_between_dialects(sql: &str, from: &str, to: &str) -> Result<String> {
    // 根据名称选择源方言
    let from_dialect: Box<dyn Dialect> = match from {
        "bigquery" => Box::new(BigQueryDialect {}),
        "snowflake" => Box::new(SnowflakeDialect {}),
        _ => Box::new(GenericDialect {}),
    };
    
    // 根据名称选择目标方言
    let to_dialect: Box<dyn Dialect> = match to {
        "bigquery" => Box::new(BigQueryDialect {}),
        "snowflake" => Box::new(SnowflakeDialect {}),
        _ => Box::new(GenericDialect {}),
    };
    
    // 解析SQL
    let mut parser = Parser::new(&*from_dialect);
    let stmts = parser.parse_sql(sql)?;
    
    // 转换SQL
    let converted = convert_sql(&stmts[0], &*from_dialect, &*to_dialect)?;
    
    Ok(converted)
}

fn main() {
    let sql = "SELECT DATE_TRUNC(date_column, MONTH) FROM my_table";
    
    match convert_between_dialects(sql, "bigquery", "snowflake") {
        Ok(converted) => println!("Converted SQL: {}", converted),
        Err(e) => println!("Conversion error: {}", e),
    }
}

完整示例代码

以下是一个更完整的示例,展示了如何处理多个SQL语句和错误情况:

use sqruff_lib_dialects::{
    Dialect, GenericDialect, PostgresDialect, BigQueryDialect,
    parser::Parser,
    convert::convert_sql,
    error::Result
};

// 处理多个SQL语句的转换
fn convert_multiple_statements(sql: &str, target_dialect: &str) -> Result<Vec<String>> {
    let dialect = GenericDialect {};
    let mut parser = Parser::new(&dialect);
    let stmts = parser.parse_sql(sql)?;
    
    // 根据目标方言选择对应的dialect实现
    let target: Box<dyn Dialect> = match target_dialect {
        "postgres" => Box::new(PostgresDialect {}),
        "bigquery" => Box::new(BigQueryDialect {}),
        _ => Box::new(GenericDialect {})
    };
    
    let mut results = Vec::new();
    for stmt in stmts {
        let converted = convert_sql(&stmt, &dialect, &*target)?;
        results.push(converted);
    }
    
    Ok(results)
}

fn main() {
    // 多语句SQL示例
    let sql = "
        CREATE TABLE users (id INT, name VARCHAR(255), age INT);
        INSERT INTO users VALUES (1, 'Alice', 30);
        SELECT * FROM users WHERE age > 25;
    ";
    
    println!("Converting SQL to PostgreSQL dialect:");
    match convert_multiple_statements(sql, "postgres") {
        Ok(converted) => {
            for (i, stmt) in converted.iter().enumerate() {
                println!("Statement {}:\n{}\n", i+1, stmt);
            }
        }
        Err(e) => println!("Error: {}", e),
    }
    
    // 测试错误处理
    println!("Testing error handling with invalid SQL:");
    match convert_multiple_statements("SELECT * FROM", "postgres") {
        Ok(_) => println!("Conversion succeeded unexpectedly"),
        Err(e) => println!("Expected error occurred: {}", e),
    }
}

支持的功能

  1. 多数据库SQL语法解析
  2. SQL语句在不同数据库方言间的转换
  3. 语法验证和错误处理
  4. 支持多种主流数据库方言

许可证

Apache-2.0许可证

文档

更多详细用法请参考官方文档


1 回复

Rust数据库方言支持库sqruff-lib-dialects使用指南

概述

sqruff-lib-dialects是一个Rust库,提供多数据库SQL语法解析与转换功能。它允许开发者将SQL语句在不同数据库方言之间进行转换,简化跨数据库应用的开发。

主要特性

  • 支持多种数据库方言(MySQL、PostgreSQL、SQLite等)
  • SQL语法解析与抽象语法树(AST)构建
  • 数据库方言间的SQL转换
  • 语法验证与规范化

安装

在Cargo.toml中添加依赖:

[dependencies]
sqruff-lib-dialects = "0.1"  # 请使用最新版本

基本使用方法

1. 解析SQL语句

use sqruff_lib_dialects::parser::parse_sql;
use sqruff_lib_dialects::dialect::GenericDialect;

fn main() {
    let dialect = GenericDialect {};
    let sql = "SELECT id, name FROM users WHERE age > 25";
    
    match parse_sql(&dialect, sql) {
        Ok(ast) => println!("解析成功: {:?}", ast),
        Err(e) => println!("解析失败: {}", e),
    }
}

2. 转换SQL方言

use sqruff_lib_dialects::{
    parser::parse_sql,
    dialects::{MySQLDialect, PostgreSQLDialect},
    translator::translate,
};

fn main() {
    let mysql_sql = "SELECT `id`, `name` FROM `users` WHERE `age` > 25";
    
    // 解析MySQL SQL
    let mysql_dialect = MySQLDialect {};
    let ast = parse_sql(&mysql_dialect, mysql_sql).unwrap();
    
    // 转换为PostgreSQL语法
    let pg_dialect = PostgreSQLDialect {};
    let pg_sql = translate(&pg_dialect, &ast).unwrap();
    
    println!("PostgreSQL SQL: {}", pg_sql);
    // 输出: SELECT "id", "name" FROM "users" WHERE "age" > 25
}

3. 处理不同数据库的特性差异

use sqruff_lib_dialects::{
    dialects::{MySQLDialect, SQLiteDialect},
    parser::parse_sql,
    translator::translate,
};

fn convert_mysql_to_sqlite(mysql_sql: &str) -> String {
    let mysql_dialect = MySQLDialect {};
    let ast = parse_sql(&mysql_dialect, mysql_sql).unwrap();
    
    let sqlite_dialect = SQLiteDialect {};
    translate(&sqlite_dialect, &ast).unwrap()
}

fn main() {
    let mysql_sql = "SELECT NOW() as current_time";
    let sqlite_sql = convert_mysql_to_sqlite(mysql_sql);
    
    println!("SQLite SQL: {}", sqlite_sql);
    // 输出: SELECT CURRENT_TIMESTAMP as current_time
}

高级用法

自定义方言处理

use sqruff_lib_dialects::{
    dialect::Dialect,
    parser::parse_sql,
    translator::translate,
    dialects::GenericDialect,
};

struct CustomDialect;
impl Dialect for CustomDialect {
    // 实现自定义方言特性
    fn identifier_quote(&self) -> char {
        '#'
    }
    
    // 其他自定义方法...
}

fn main() {
    let sql = "SELECT id FROM users";
    let generic_ast = parse_sql(&GenericDialect {}, sql).unwrap();
    
    let custom_dialect = CustomDialect {};
    let custom_sql = translate(&custom_dialect, &generic_ast).unwrap();
    
    println!("Custom SQL: {}", custom_sql);
    // 输出: SELECT #id# FROM #users#
}

批量转换SQL文件

use sqruff_lib_dialects::{
    dialects::{MySQLDialect, PostgreSQLDialect},
    parser::parse_sql,
    translator::translate,
};
use std::fs;

fn convert_sql_file(input_path: &str, output_path: &str) -> Result<(), Box<dyn std::error::Error>> {
    let mysql_sql = fs::read_to_string(input_path)?;
    let mysql_dialect = MySQLDialect {};
    let ast = parse_sql(&mysql_dialect, &mysql_sql)?;
    
    let pg_dialect = PostgreSQLDialect {};
    let pg_sql = translate(&pg_dialect, &ast)?;
    
    fs::write(output_path, pg_sql)?;
    Ok(())
}

fn main() {
    if let Err(e) = convert_sql_file("input.sql", "output.sql") {
        eprintln!("转换失败: {}", e);
    }
}

注意事项

  1. 并非所有SQL特性都能完美转换,某些数据库特有的功能可能需要手动调整
  2. 复杂查询(如嵌套子查询、窗口函数等)可能需要额外验证
  3. 转换后的SQL应始终进行测试验证

支持的数据库方言

  • MySQL
  • PostgreSQL
  • SQLite
  • Microsoft SQL Server (部分支持)
  • Oracle (部分支持)
  • 通用SQL方言 (GenericDialect)

通过sqruff-lib-dialects,开发者可以更轻松地构建支持多数据库的Rust应用程序,减少为不同数据库维护单独SQL语句的工作量。

完整示例DEMO

下面是一个完整的示例,展示如何使用sqruff-lib-dialects进行SQL解析和转换:

use sqruff_lib_dialects::{
    parser::parse_sql,
    dialects::{MySQLDialect, PostgreSQLDialect, SQLiteDialect},
    translator::translate,
    dialect::Dialect,
};

fn main() {
    // 示例1: 基本SQL解析
    println!("=== 基本SQL解析示例 ===");
    let generic_sql = "SELECT id, name FROM products WHERE price > 100";
    let generic_dialect = GenericDialect {};
    
    match parse_sql(&generic_dialect, generic_sql) {
        Ok(ast) => println!("解析成功: {:#?}", ast),
        Err(e) => println!("解析失败: {}", e),
    }

    // 示例2: MySQL到PostgreSQL转换
    println!("\n=== MySQL到PostgreSQL转换示例 ===");
    let mysql_sql = "SELECT `id`, `product_name` FROM `products` WHERE `category` = 'electronics'";
    let mysql_dialect = MySQLDialect {};
    
    let ast = parse_sql(&mysql_dialect, mysql_sql).unwrap();
    let pg_dialect = PostgreSQLDialect {};
    let pg_sql = translate(&pg_dialect, &ast).unwrap();
    
    println!("PostgreSQL SQL:\n{}", pg_sql);

    // 示例3: 处理函数差异
    println!("\n=== 处理函数差异示例 ===");
    let mysql_func_sql = "SELECT DATE_FORMAT(created_at, '%Y-%m-%d') FROM orders";
    let ast = parse_sql(&mysql_dialect, mysql_func_sql).unwrap();
    
    let pg_sql = translate(&pg_dialect, &ast).unwrap();
    println!("PostgreSQL 转换结果:\n{}", pg_sql);
    
    // 示例4: 自定义方言
    println!("\n=== 自定义方言示例 ===");
    struct MyCustomDialect;
    impl Dialect for MyCustomDialect {
        fn identifier_quote(&self) -> char {
            '@'
        }
        
        fn supports_filter_during_aggregation(&self) -> bool {
            true
        }
    }
    
    let custom_dialect = MyCustomDialect {};
    let custom_sql = translate(&custom_dialect, &ast).unwrap();
    println!("自定义方言SQL:\n{}", custom_sql);
}

这个完整示例展示了:

  1. 基本的SQL解析功能
  2. MySQL到PostgreSQL的SQL转换
  3. 处理数据库间函数差异的情况
  4. 如何创建和使用自定义方言

运行此示例前,请确保已正确添加sqruff-lib-dialects依赖。

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