Mysql 脚本转换为drawio ER 脚本

news2024/9/20 9:46:15

Navicat 导出数据库脚本

在这里插入图片描述

通过代码转换脚本

import java.io.BufferedReader;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

/**
 * SQL 脚本转换为 drawio ER 脚本
 */
public class SQLToMermaid {

    public static void main(String[] args) {
        String inputFilePath = "/Users/admin/Desktop/xxx.sql"; // 输入文件路径
        String outputFilePath = "/Users/admin/Desktop/xxx.txt"; // 输出文件路径

        System.out.println("Reading from: " + inputFilePath);
        System.out.println("Writing to: " + outputFilePath);

        try (BufferedReader br = new BufferedReader(new FileReader(inputFilePath));
             FileWriter fw = new FileWriter(outputFilePath)) {

            StringBuilder sqlContent = new StringBuilder();
            String line;

            // 读取整个文件内容
            while ((line = br.readLine()) != null) {
                sqlContent.append(line).append("\n");
            }

            String sql = sqlContent.toString();

            // 正则表达式
            Pattern tablePattern = Pattern.compile("CREATE TABLE `(\\w+)` \\((.*?)\\) ENGINE.*?COMMENT='(.*?)';",Pattern.CASE_INSENSITIVE | Pattern.DOTALL);

            // 匹配
            Matcher tableMatcher = tablePattern.matcher(sql);


            while (tableMatcher.find()) {
                String tableName = tableMatcher.group(1);
                String tableComment = tableMatcher.group(3);
                fw.write(tableName + "（" + tableComment + "）\n");

                String columnDefinitions = tableMatcher.group(2);
                String[] columns = columnDefinitions.split(",(?=\\s*`)");

                for (String column : columns) {
                    Pattern columnPattern = Pattern.compile(
                            "`(\\w+)`\\s+\\w+.*?COMMENT\\s+'(.*?)'",
                            Pattern.DOTALL
                    );
                    Matcher columnMatcher = columnPattern.matcher(column);

                    if (columnMatcher.find()) {
                        String columnName = columnMatcher.group(1);
                        String columnComment = columnMatcher.group(2);
                        fw.write("    " + columnName + ": " + columnComment + "\n");
                    }
                }

                fw.write("\n"); // 表之间空一行
            }

            System.out.println("Output written to " + outputFilePath);

        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

得到的脚本：

custom（自定义表）
    id: 主键id
    name: 名称
    module: 引用类型1：报事类型模板2：报事详情
    ref_id: 关联表id
    type: 
    is_required: 是否必填
    subsidiary_rule_str: 附属规则json串
    is_del: 是否删除
    sort_code: 排序编码
    create_time: 创建时间
    creator_uid: 创建人id
    modified_time: 修改时间
    modified_uid: 修改人id

identity（模板通知规则关联执行人）
    id: 主键
    ref_id: type区分关联键0工单类型id 1 SLA配置id
    type: 关联类型 0工单类型执行1工单类型分派2SLA配置
    label_id: 类型标签type = 0: 0抄送；
    step: 步骤0非步骤 1,2,3,4,5升级步骤
    identity_type: 身份类型 0角色1人员
    identity_id: 身份id