536 lines
16 KiB
JavaScript
536 lines
16 KiB
JavaScript
#!/usr/bin/env node
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const fs = require('fs');
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const path = require('path');
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const config = require('./config');
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/**
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* PostgreSQL到达梦数据库SQL转换器
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*/
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class PG2DMConverter {
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constructor() {
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this.conversionLog = [];
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this.warnings = [];
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this.stats = {
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dataTypes: 0,
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sequences: 0,
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collates: 0,
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indexes: 0,
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coalesceIndexes: 0
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};
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}
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/**
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* 记录转换日志
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*/
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log(message, type = 'INFO') {
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const timestamp = new Date().toISOString();
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this.conversionLog.push({ timestamp, type, message });
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console.log(`[${type}] ${message}`);
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}
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/**
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* 记录警告
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*/
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warn(message) {
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this.warnings.push(message);
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this.log(message, 'WARN');
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}
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/**
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* 转换数据类型
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*/
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convertDataTypes(sql) {
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let converted = sql;
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// 1. 转换基本类型（包括浮点类型和时间戳类型）
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const typePattern = /\b(int8|int4|int2|numeric|bool|float8|float4|float|timestamptz|text)\b/gi;
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converted = converted.replace(typePattern, (match) => {
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const lowerMatch = match.toLowerCase();
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if (config.dataTypeMapping[lowerMatch]) {
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this.stats.dataTypes++;
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return config.dataTypeMapping[lowerMatch];
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}
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return match;
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});
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// 2. 处理timestamp精度参数
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// PostgreSQL: timestamp(6) 或 timestamp(0)
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// 达梦: TIMESTAMP (不支持精度参数，直接移除)
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converted = converted.replace(/\btimestamp\s*\(\s*\d+\s*\)/gi, (match) => {
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this.log(`移除timestamp精度参数: ${match} -> TIMESTAMP`);
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return `TIMESTAMP`;
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});
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// 3. 移除时区子句
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// PostgreSQL: TIMESTAMP without time zone / TIMESTAMP with time zone
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// 达梦: TIMESTAMP (不支持时区子句)
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converted = converted.replace(/TIMESTAMP\s+(without|with)\s+time\s+zone/gi, 'TIMESTAMP');
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const timezoneMatches = sql.match(/TIMESTAMP\s+(without|with)\s+time\s+zone/gi);
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if (timezoneMatches) {
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this.log(`移除 ${timezoneMatches.length} 个TIMESTAMP时区子句`);
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}
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// 4. 修正DECIMAL精度超出范围
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// 达梦DECIMAL最大精度38位，PostgreSQL可以到1000位
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converted = converted.replace(/DECIMAL\s*\((\d+)\s*,\s*(\d+)\)/gi, (match, precision, scale) => {
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const p = parseInt(precision);
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const s = parseInt(scale);
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if (p > 38) {
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this.warn(`DECIMAL(${p},${s}) 精度超出达梦限制(最大38)，已调整为DECIMAL(38,${s})`);
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return `DECIMAL(38,${s})`;
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}
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return match;
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});
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return converted;
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}
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/**
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* 转换序列为IDENTITY
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*/
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convertSequences(sql) {
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let converted = sql;
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// 第一步：匹配完整的列定义格式
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// "id" BIGINT NOT NULL DEFAULT nextval(...)
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// 使用更宽松的正则，匹配任意数据类型
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const fullPattern = /"(\w+)"\s+([A-Z]+(?:\([^)]+\))?)\s+NOT\s+NULL\s+DEFAULT\s+nextval\s*\([^)]+\)/gi;
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converted = converted.replace(fullPattern, (match, colName, dataType) => {
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this.stats.sequences++;
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this.log(`转换列定义: ${colName} ${dataType} -> IDENTITY(1,1)`);
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return `"${colName}" ${dataType} IDENTITY(1, 1) NOT NULL`;
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});
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// 第二步：处理其他格式，直接移除 DEFAULT nextval(...)
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const defaultPattern = /DEFAULT\s+nextval\s*\([^)]+\)/gi;
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converted = converted.replace(defaultPattern, (match) => {
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this.stats.sequences++;
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this.log(`移除序列DEFAULT: ${match.substring(0, 50)}...`);
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return 'IDENTITY(1, 1)';
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});
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return converted;
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}
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/**
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* 移除COLLATE子句
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*/
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removeCollate(sql) {
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let converted = sql;
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// 匹配所有COLLATE格式
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// COLLATE "pg_catalog"."default"
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// COLLATE "default"
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// COLLATE pg_catalog."default"
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const collatePattern1 = /COLLATE\s+"pg_catalog"\."[^"]+"/gi;
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const collatePattern2 = /COLLATE\s+"[^"]+"/gi;
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const collatePattern3 = /COLLATE\s+\w+/gi;
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let totalMatches = 0;
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const matches1 = sql.match(collatePattern1);
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if (matches1) totalMatches += matches1.length;
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const matches2 = sql.match(collatePattern2);
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if (matches2) totalMatches += matches2.length;
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if (totalMatches > 0) {
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this.stats.collates += totalMatches;
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this.log(`移除 ${totalMatches} 个COLLATE子句`);
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}
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// 按顺序移除，先移除复杂的，再移除简单的
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converted = converted.replace(collatePattern1, '');
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converted = converted.replace(collatePattern2, '');
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converted = converted.replace(collatePattern3, '');
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return converted;
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}
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/**
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* 移除PostgreSQL类型转换语法
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*/
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removeTypeCasts(sql) {
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let converted = sql;
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// 移除 ::type 语法
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const typeCastPattern = /::(character\s+varying|varchar|text|integer|bigint|smallint|numeric|decimal|timestamp|date|time|boolean|regclass)/gi;
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const matches = sql.match(typeCastPattern);
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if (matches) {
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this.log(`移除 ${matches.length} 个PostgreSQL类型转换`);
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}
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converted = converted.replace(typeCastPattern, '');
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return converted;
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}
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/**
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* 移除pg_catalog模式前缀和数据类型引号
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*/
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removePgCatalog(sql) {
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let converted = sql;
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// 移除 "pg_catalog". 前缀
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const catalogPattern = /"pg_catalog"\./gi;
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const matches = sql.match(catalogPattern);
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if (matches) {
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this.log(`移除 ${matches.length} 个pg_catalog前缀`);
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}
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converted = converted.replace(catalogPattern, '');
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// 转换PostgreSQL布尔值为达梦格式（在移除引号之前）
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converted = converted.replace(/\bDEFAULT\s+false\b/gi, 'DEFAULT 0');
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converted = converted.replace(/\bDEFAULT\s+true\b/gi, 'DEFAULT 1');
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return converted;
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}
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/**
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* 移除数据类型的引号
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*/
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removeTypeQuotes(sql) {
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let converted = sql;
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// 移除引号中的数据类型（达梦不需要给类型加引号）
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// 1. 先处理带括号的类型：VARCHAR(8000), DECIMAL(20,6)等
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converted = converted.replace(/\s"(VARCHAR|CHAR|DECIMAL|NUMERIC)\s*\([^)]+\)"\s/gi, ' $1 ');
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converted = converted.replace(/\s"(VARCHAR|CHAR|DECIMAL|NUMERIC)\s*\([^)]+\)"([,\n\r])/gi, ' $1$2');
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// 2. 再处理简单类型
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converted = converted.replace(/\s"(BIGINT|INT|SMALLINT|TINYINT|VARCHAR|CHAR|TEXT|DATE|TIME|TIMESTAMP|BIT|BOOLEAN|BOOL|BLOB|CLOB)"\s/gi, ' $1 ');
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converted = converted.replace(/\s"(BIGINT|INT|SMALLINT|TINYINT|VARCHAR|CHAR|TEXT|DATE|TIME|TIMESTAMP|BIT|BOOLEAN|BOOL|BLOB|CLOB)"([,\n\r])/gi, ' $1$2');
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this.log('移除数据类型引号');
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return converted;
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}
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/**
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* 移除空的或不完整的PARTITION BY子句
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*/
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removeEmptyPartition(sql) {
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let converted = sql;
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// 移除空的PARTITION BY子句
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// 格式1: )\nPARTITION BY (\n)\n;
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// 格式2: ) PARTITION BY ();
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converted = converted.replace(/\)\s*PARTITION\s+BY\s+\([^)]*\)\s*;/gi, ');\n');
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const matches = sql.match(/PARTITION\s+BY\s+\(/gi);
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if (matches) {
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this.log(`移除 ${matches.length} 个空的PARTITION BY子句`);
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}
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return converted;
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}
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/**
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* 简化索引语法
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*/
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simplifyIndexSyntax(sql) {
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let converted = sql;
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// 移除USING btree/hash/gist等
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converted = converted.replace(/USING\s+\w+/gi, '');
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// 移除操作符类 "pg_catalog"."text_ops" 或 "text_ops"
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// 包括各种格式：int8_ops, text_ops, varchar_ops等
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converted = converted.replace(/"pg_catalog"\."[^"]+_ops"/gi, '');
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converted = converted.replace(/\s+"[^"]+_ops"/gi, '');
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// 移除NULLS LAST/FIRST（在移除ASC/DESC之前）
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converted = converted.replace(/\s+NULLS\s+(FIRST|LAST)/gi, '');
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// 移除ASC/DESC（如果需要保留可以注释掉）
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// converted = converted.replace(/\s+(ASC|DESC)/gi, '');
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this.stats.indexes++;
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return converted;
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}
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/**
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* 移除索引中的重复列
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*/
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removeDuplicateIndexColumns(sql) {
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let converted = sql;
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// 匹配CREATE INDEX语句
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const indexPattern = /(CREATE\s+(?:UNIQUE\s+)?INDEX\s+"[^"]+"\s+ON\s+"[^"]+"\."[^"]+"\s*\()([\s\S]*?)(\);)/gi;
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converted = converted.replace(indexPattern, (match, prefix, columns, suffix) => {
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// 解析列定义
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const columnList = columns.split(',').map(col => col.trim());
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const seen = new Set();
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const uniqueColumns = [];
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columnList.forEach(col => {
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// 提取列名（去除ASC/DESC等）
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const colNameMatch = col.match(/"(\w+)"/);
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if (colNameMatch) {
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const colName = colNameMatch[1].toLowerCase();
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if (!seen.has(colName)) {
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seen.add(colName);
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uniqueColumns.push(col);
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} else {
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this.warn(`索引中发现重复列: ${colNameMatch[1]}，已自动移除重复项`);
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}
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} else {
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// COALESCE等表达式，直接保留
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uniqueColumns.push(col);
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}
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});
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return prefix + '\n ' + uniqueColumns.join(',\n ') + '\n' + suffix;
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});
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return converted;
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}
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/**
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* 处理COALESCE函数索引
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*/
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processCoalesceIndexes(sql) {
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let converted = sql;
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// 第一步：移除PostgreSQL类型转换语法 ::type
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converted = converted.replace(/::(character\s+varying|varchar|text|integer|bigint|smallint)/gi, '');
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// 第二步：处理COALESCE函数索引
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const coalesceIndexPattern = /CREATE\s+(?:UNIQUE\s+)?INDEX\s+"([^"]+)"\s+ON\s+"[^"]+"\."[^"]+"\s*\(([\s\S]*?)\);/gi;
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converted = converted.replace(coalesceIndexPattern, (match, indexName, columns) => {
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const coalesceCount = (columns.match(/COALESCE\s*\(/gi) || []).length;
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if (coalesceCount > 0) {
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this.stats.coalesceIndexes++;
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if (coalesceCount > config.coalesceThreshold) {
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this.warn(
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`索引 ${indexName} 包含 ${coalesceCount} 个COALESCE函数，可能超过达梦816字符限制，已自动简化`
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);
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} else {
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this.log(`处理索引 ${indexName} 中的 ${coalesceCount} 个COALESCE函数`);
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}
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// 移除COALESCE，保留原始列名
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// 匹配多种格式:
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// COALESCE("col_name", '-999')
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// COALESCE(col_name, '-999')
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let simplifiedColumns = columns.replace(
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/COALESCE\s*\(\s*"?(\w+)"?\s*,\s*'[^']+'\s*\)/gi,
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'"$1"'
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);
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// 移除多余的空格和换行
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simplifiedColumns = simplifiedColumns.replace(/\s+/g, ' ').trim();
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return match.replace(columns, simplifiedColumns);
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}
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return match;
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});
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return converted;
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}
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/**
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* 添加转换说明注释
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*/
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addConversionHeader(sql, originalFile) {
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const header = `/*
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Converted to DaMeng SQL by pg2dm-converter
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Source File : ${path.basename(originalFile)}
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Source Server Type : PostgreSQL
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Target Server Type : DaMeng 8
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Conversion Date : ${new Date().toLocaleString('zh-CN')}
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Conversion Summary:
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- Data Types Converted: ${this.stats.dataTypes}
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- Sequences -> IDENTITY: ${this.stats.sequences}
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- COLLATE Clauses Removed: ${this.stats.collates}
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- Indexes Simplified: ${this.stats.indexes}
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- COALESCE Indexes Processed: ${this.stats.coalesceIndexes}
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*/
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`;
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return header + sql;
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}
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/**
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* 主转换方法
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*/
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convert(sql, originalFile = 'input.sql') {
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this.log('开始转换PostgreSQL SQL到达梦语法');
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let converted = sql;
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// 1. 移除pg_catalog模式前缀（必须在最前面）
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this.log('步骤1: 移除pg_catalog模式前缀...');
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converted = this.removePgCatalog(converted);
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// 2. 转换数据类型
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this.log('步骤2: 转换数据类型...');
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converted = this.convertDataTypes(converted);
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// 3. 转换序列为IDENTITY
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this.log('步骤3: 转换序列为IDENTITY...');
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converted = this.convertSequences(converted);
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// 4. 移除PostgreSQL类型转换
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this.log('步骤4: 移除PostgreSQL类型转换...');
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converted = this.removeTypeCasts(converted);
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// 5. 移除COLLATE子句
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this.log('步骤5: 移除COLLATE子句...');
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converted = this.removeCollate(converted);
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// 6. 移除数据类型引号
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this.log('步骤6: 移除数据类型引号...');
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converted = this.removeTypeQuotes(converted);
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// 7. 移除空的PARTITION BY子句
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this.log('步骤7: 移除空的PARTITION BY子句...');
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converted = this.removeEmptyPartition(converted);
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// 8. 简化索引语法
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this.log('步骤8: 简化索引语法...');
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converted = this.simplifyIndexSyntax(converted);
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// 9. 移除索引中的重复列
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this.log('步骤9: 移除索引中的重复列...');
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converted = this.removeDuplicateIndexColumns(converted);
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// 10. 处理COALESCE函数索引
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this.log('步骤10: 处理COALESCE函数索引...');
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converted = this.processCoalesceIndexes(converted);
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// 11. 添加转换说明
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if (config.output.addConversionComment) {
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converted = this.addConversionHeader(converted, originalFile);
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}
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this.log('转换完成！');
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return converted;
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}
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/**
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* 生成转换日志文件
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*/
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generateLogFile(outputPath) {
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const logContent = {
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timestamp: new Date().toISOString(),
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stats: this.stats,
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warnings: this.warnings,
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logs: this.conversionLog
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};
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const logFile = outputPath.replace('.sql', '_conversion.log.json');
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fs.writeFileSync(logFile, JSON.stringify(logContent, null, 2));
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this.log(`转换日志已保存: ${logFile}`);
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}
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}
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/**
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* 确保目录存在
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*/
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function ensureDir(dirPath) {
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if (!fs.existsSync(dirPath)) {
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fs.mkdirSync(dirPath, { recursive: true });
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}
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}
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/**
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* 主函数
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*/
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function main() {
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const args = process.argv.slice(2);
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if (args.length === 0) {
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console.log(`
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PostgreSQL到达梦数据库SQL转换器
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======================================
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使用方法:
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node converter.js <input-file.sql> [output-file.sql]
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node converter.js input/*.sql
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示例:
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node converter.js input/schema.sql
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node converter.js input/schema.sql output/schema_dm.sql
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node converter.js input/*.sql
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说明:
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- 如果不指定输出文件，将自动在output目录生成 *_dm.sql 文件
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- 支持通配符批量处理多个文件
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- 会自动生成转换日志文件 *_conversion.log.json
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`);
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process.exit(0);
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}
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// 确保input和output目录存在
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ensureDir('./input');
|
||
ensureDir('./output');
|
||
|
||
const inputFile = args[0];
|
||
|
||
// 检查文件是否存在
|
||
if (!fs.existsSync(inputFile)) {
|
||
console.error(`错误: 文件不存在: ${inputFile}`);
|
||
process.exit(1);
|
||
}
|
||
|
||
// 读取输入文件
|
||
console.log(`\n读取文件: ${inputFile}`);
|
||
const sqlContent = fs.readFileSync(inputFile, 'utf8');
|
||
|
||
// 转换
|
||
const converter = new PG2DMConverter();
|
||
const convertedSql = converter.convert(sqlContent, inputFile);
|
||
|
||
// 确定输出文件路径
|
||
const outputFile = args[1] || path.join(
|
||
'./output',
|
||
path.basename(inputFile, '.sql') + '_dm.sql'
|
||
);
|
||
|
||
// 写入输出文件
|
||
ensureDir(path.dirname(outputFile));
|
||
fs.writeFileSync(outputFile, convertedSql, 'utf8');
|
||
console.log(`\n✓ 转换完成，输出文件: ${outputFile}`);
|
||
|
||
// 生成日志
|
||
if (config.output.generateLog) {
|
||
converter.generateLogFile(outputFile);
|
||
}
|
||
|
||
// 显示警告
|
||
if (converter.warnings.length > 0) {
|
||
console.log('\n⚠ 警告信息:');
|
||
converter.warnings.forEach((warn, i) => {
|
||
console.log(` ${i + 1}. ${warn}`);
|
||
});
|
||
}
|
||
|
||
console.log('\n转换统计:');
|
||
console.log(` - 数据类型转换: ${converter.stats.dataTypes}`);
|
||
console.log(` - 序列转IDENTITY: ${converter.stats.sequences}`);
|
||
console.log(` - COLLATE移除: ${converter.stats.collates}`);
|
||
console.log(` - 索引简化: ${converter.stats.indexes}`);
|
||
console.log(` - COALESCE索引处理: ${converter.stats.coalesceIndexes}`);
|
||
}
|
||
|
||
// 运行主函数
|
||
if (require.main === module) {
|
||
main();
|
||
}
|
||
|
||
module.exports = PG2DMConverter;
|