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sql字段解析器的实现示例

作者：等你归去来　　发布时间：2024-01-16 13:36:53　

标签：sql,字段,解析器

1. 解题思路

如果不想做复杂处理，最容易想到的，就是直接用某个特征做分割即可。比如，先截取出字段列表部分，然后再用逗号',' 分割，就可以得到一个个的字段了。然后再要细分，其实只需要用 as 进行分割就可以了。

看起来好像可行，但是存在许多漏洞，首先，这里面有太多的假设：各种截取部分要求必须符合要求，必须没有多余的逗号，必须要有as 等等。这明显不符合要求了。

其二，我们可以换一种转换方式。比如先截取到field部分，然后先以 as 分割，再以逗号分割，然后取最后一个词作为field。

看起来好像更差了，截取到哪里已经完全不知道了。即原文已经被破坏殆尽，而且同样要求要有 as 转换标签，而且对于函数觊觎有 as 的场景，就完全错误了。

其三，最好还是自行一个个单词地解析，field 字段无外乎几种情况，1. 普通字段如 select a; 2. 带as的普通字段如 select a as b; 3. 带函数的字段如 select coalesce(a, b); 4. 带函数且带as的字段如 select coalesce(a, b) ab; 5. 函数内带as的字段如 select cast(a as string) b; ... 我们只需依次枚举对应的情况，就可以将字段解析出来了。

看起来是个不错的想法。但是具体实现如何？

2. 具体解析实现

主要分两个部分，1. 需要定义一个解析后的结果数据结构，以便清晰描述字段信息； 2. 分词解析sql并以结构体返回；

我们先来看看整个算法核心：

/**
* 功能描述: 简单sql字段解析器
*
* 样例如1:
* select COALESCE(t1.xno, t2.xno, t3.xno) as xno,
* case when t1.no is not null then 1 else null end as xxk001,
* case when t2.no is not null then 1 else null end as xxk200,
* case when t3.xno is not null then 1 else null end as xx3200
* from xxk001 t1
* full join xxkj100 t2 on t1.xno = t2.xno
* full join xxkj200 t3 on t1.xno = t3.xno;
*
* 样例如2:
* select cast(a as string) as b from ccc;
*
* 样例如3:
* with a as(select cus,x1 from b1), b as (select cus,x2 from b2)
* select a.cus as a_cus from a join b on a.cus=b.cus where xxx;
*
* 样例如4:
* select a.xno,b.xx from a_tb as a join b_tb as b on a.id = b.id
*
* 样例如5:
* select cast \t(a as string) a_str, cc (a as double) a_double from x
*
*/
public class SimpleSqlFieldParser {

/**
* 解析一段次标签sql 中的字段列表
*
* @param sql 原始sql, 需如 select xx from xxx join ... 格式
* @return 字段列表
*/
public static List<SelectFieldClauseDescriptor> parse(String sql) {
String columnPart = adaptFieldPartSql(sql);
int deep = 0;
List<StringBuilder> fieldTokenSwap = new ArrayList<>();
StringBuilder currentTokenBuilder = new StringBuilder();
List<SelectFieldClauseDescriptor> fieldList = new ArrayList<>();
fieldTokenSwap.add(currentTokenBuilder);
int len = columnPart.length();
char[] columnPartChars = columnPart.toCharArray();
for(int i = 0; i < len; i++) {
// 空格忽略，换行忽略，tab忽略
// 字符串相接
// 左(号入栈，++deep；
// 右)号出栈，--deep；
// deep>0 忽略所有其他直接拼接
// as 则取下一个值为fieldName
// case 则直接取到end为止；
//,号则重置token，构建结果集
char currentChar = columnPartChars[i];
switch (currentChar) {
case '(':
++deep;
currentTokenBuilder.append(currentChar);
break;
case ')':
--deep;
currentTokenBuilder.append(currentChar);
break;
case ',':
if(deep == 0) {
addNewField(fieldList, fieldTokenSwap, true);
fieldTokenSwap = new ArrayList<>();
currentTokenBuilder = new StringBuilder();
fieldTokenSwap.add(currentTokenBuilder);
break;
}
currentTokenBuilder.append(currentChar);
break;
case ' ':
case '\t':
case '\r':
case '\n':
if(deep > 0) {
currentTokenBuilder.append(currentChar);
continue;
}
if(currentTokenBuilder.length() == 0) {
continue;
}
// original_name as --> alias
if(i + 1 < len) {
int j = i + 1;
// 收集连续的空格
StringBuilder spaceHolder = new StringBuilder();
boolean isNextLeftBracket = false;
do {
char nextChar = columnPart.charAt(j++);
if(nextChar == ' ' || nextChar == '\t'
|| nextChar == '\r' || nextChar == '\n') {
spaceHolder.append(nextChar);
continue;
}
if(nextChar == '(') {
isNextLeftBracket = true;
}
break;
} while (j < len);
if(isNextLeftBracket) {
currentTokenBuilder.append(currentChar);
}
if(spaceHolder.length() > 0) {
currentTokenBuilder.append(spaceHolder);
i += spaceHolder.length();
}
if(isNextLeftBracket) {
// continue next for, function begin
continue;
}
}
if(fieldTokenSwap.size() == 1) {
if(fieldTokenSwap.get(0).toString().equalsIgnoreCase("case")) {
String caseWhenPart = CommonUtil.readSplitWord(
columnPartChars, i, " ", "end");
currentTokenBuilder.append(caseWhenPart);
if(caseWhenPart.length() <= 0) {
throw new BizException("语法错误，未找到case..when的结束符");
}
i += caseWhenPart.length();
}
}
addNewField(fieldList, fieldTokenSwap, false);
currentTokenBuilder = new StringBuilder();
fieldTokenSwap.add(currentTokenBuilder);
break;
// 空格忽略
default:
currentTokenBuilder.append(currentChar);
break;
}

}
// 处理剩余尚未存储的字段信息
addNewField(fieldList, fieldTokenSwap, true);
return fieldList;
}

/**
* 新增一个字段描述
*
* @param fieldList 字段容器
* @param fieldTokenSwap 候选词
*/
private static void addNewField(List<SelectFieldClauseDescriptor> fieldList,
List<StringBuilder> fieldTokenSwap,
boolean forceAdd) {
int ts = fieldTokenSwap.size();
if(ts == 1 && forceAdd) {
// db.original_name,
String fieldName = fieldTokenSwap.get(0).toString();
String alias = fieldName;
if(fieldName.contains(".")) {
alias = fieldName.substring(fieldName.lastIndexOf('.') + 1);
}
fieldList.add(new SelectFieldClauseDescriptor(fieldName, alias));
return;
}
if(ts < 2) {
return;
}
if(ts == 2) {
// original_name alias,
if(fieldTokenSwap.get(1).toString().equalsIgnoreCase("as")) {
return;
}
fieldList.add(new SelectFieldClauseDescriptor(
fieldTokenSwap.get(0).toString(),
fieldTokenSwap.get(1).toString()));
}
else if(ts == 3) {
// original_name as alias,
fieldList.add(new SelectFieldClauseDescriptor(
fieldTokenSwap.get(0).toString(),
fieldTokenSwap.get(2).toString()));
}
else {
throw new BizException("字段语法解析错误，超过3个以字段描述信息:" + ts);
}
}

// 截取适配 field 字段信息部分
private static String adaptFieldPartSql(String fullSql) {
int start = fullSql.lastIndexOf("select ");
int end = fullSql.lastIndexOf(" from");
String columnPart = fullSql.substring(start + "select ".length(), end);
return columnPart.trim();
}

}

应该说是比较简单的，一个for, 一个 switch ，就搞定了。其他的，更多的是逻辑判定。

下面我们来看看字段描述类的写法，其实就是两个字段，源字段和别名。

/**
* 功能描述: sql字段描述 select 字段描述类
*
*/
public class SelectFieldClauseDescriptor {
private String fieldName;
private String alias;

public SelectFieldClauseDescriptor(String fieldName, String alias) {
this.fieldName = fieldName;
this.alias = alias;
}

public String getFieldName() {
return fieldName;
}

public String getAlias() {
return alias;
}

@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
SelectFieldClauseDescriptor that = (SelectFieldClauseDescriptor) o;
return Objects.equals(fieldName, that.fieldName) &&
Objects.equals(alias, that.alias);
}

@Override
public int hashCode() {
return Objects.hash(fieldName, alias);
}

@Override
public String toString() {
return "SelectFieldClauseDescriptor{" +
"fieldName='" + fieldName + '\'' +
", alias='" + alias + '\'' +
'}';
}
}

它存在的意义，仅仅是为了使用方更方便取值，以为更进一步的解析提供了依据。

3. 单元测试

其实像写这种工具类，单元测试最是方便简单。因为最初的结果，我们早已预料，以测试驱动开发最合适不过了。而且，基本上一出现不符合预期的值时，很快速就定位问题了。

/**
* 功能描述: sql字段解析器测试
**/
public class SimpleSqlFieldParserTest {

@Test
public void testParse() {
String sql;
List<SelectFieldClauseDescriptor> parsedFieldList;
sql = "select COALESCE(t1.xno, t2.xno, t3.xno) as xno,\n" +
" case when t1.xno is not null then 1 else null end as xxk001,\n" +
" case when t2.xno is not null then 1 else null end as xxk200,\n" +
" case when t3.xno is not null then 1 else null end as xx3200\n" +
" from xxk001 t1\n" +
" full join xxkj100 t2 on t1.xno = t2.xno\n" +
" full join xxkj200 t3 on t1.xno = t3.xno;";
parsedFieldList = SimpleSqlFieldParser.parse(sql);
System.out.println("result:");
parsedFieldList.forEach(System.out::println);
Assert.assertEquals("字段个数解析不正确",
4, parsedFieldList.size());
Assert.assertEquals("字段别名解析不正确",
"xno", parsedFieldList.get(0).getAlias());
Assert.assertEquals("字段别名解析不正确",
"xx3200", parsedFieldList.get(3).getAlias());

sql = "select cast(a as string) as b from ccc;";
parsedFieldList = SimpleSqlFieldParser.parse(sql);
System.out.println("result:");
parsedFieldList.forEach(System.out::println);
Assert.assertEquals("字段个数解析不正确",
1, parsedFieldList.size());
Assert.assertEquals("字段别名解析不正确",
"b", parsedFieldList.get(0).getAlias());

sql = "with a as(select cus,x1 from b1), b as (select cus,x2 from b2)\n" +
" select a.cus as a_cus, cast(a \nas string) as a_cus2, " +
"b.x2 b2 from a join b on a.cus=b.cus where xxx;";
parsedFieldList = SimpleSqlFieldParser.parse(sql);
System.out.println("result:");
parsedFieldList.forEach(System.out::println);
Assert.assertEquals("字段个数解析不正确",
3, parsedFieldList.size());
Assert.assertEquals("字段别名解析不正确",
"a_cus", parsedFieldList.get(0).getAlias());
Assert.assertEquals("字段别名解析不正确",
"b2", parsedFieldList.get(2).getAlias());

sql = "select a.xno,b.xx,qqq from a_tb as a join b_tb as b on a.id = b.id";
parsedFieldList = SimpleSqlFieldParser.parse(sql);
System.out.println("result:");
parsedFieldList.forEach(System.out::println);
Assert.assertEquals("字段个数解析不正确",
3, parsedFieldList.size());
Assert.assertEquals("字段别名解析不正确",
"xno", parsedFieldList.get(0).getAlias());
Assert.assertEquals("字段别名解析不正确",
"qqq", parsedFieldList.get(2).getAlias());

sql = "select cast (a.a_int as string) a_str, b.xx, coalesce \n( a, b, c) qqq from a_tb as a join b_tb as b on a.id = b.id";
parsedFieldList = SimpleSqlFieldParser.parse(sql);
System.out.println("result:");
parsedFieldList.forEach(System.out::println);
Assert.assertEquals("字段个数解析不正确",
3, parsedFieldList.size());
Assert.assertEquals("字段别名解析不正确",
"a_str", parsedFieldList.get(0).getAlias());
Assert.assertEquals("字段原始名解析不正确",
"cast (a.a_int as string)", parsedFieldList.get(0).getFieldName());
Assert.assertEquals("字段别名解析不正确",
"qqq", parsedFieldList.get(2).getAlias());
Assert.assertEquals("字段原始名解析不正确",
"coalesce \n( a, b, c)", parsedFieldList.get(2).getFieldName());
}
}

至此，一个简单的字段解析器完成。小工具，供参考！

来源：https://www.cnblogs.com/yougewe/p/14911443.html

投稿

sql字段解析器的实现示例

目录

1. 解题思路

2. 具体解析实现

3. 单元测试

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