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README.md
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@ -7,9 +7,9 @@ English | [简体中文](./README-zh_CN.md)
[npm-image]: https://img.shields.io/npm/v/dt-sql-parser.svg?style=flat-square
[npm-url]: https://www.npmjs.com/package/dt-sql-parser
dt-sql-parser is a `SQL Parser` project built with [ANTLR4](https://github.com/antlr/antlr4), and it's mainly for the `BigData` domain. The [ANTLR4](https://github.com/antlr/antlr4) generated the basic Parser, Visitor, and Listener, so it's easy to complete the `syntax validation`, `tokenizer`, `traverse` the AST, and so on features.
dt-sql-parser is a **SQL Parser** project built with [ANTLR4](https://github.com/antlr/antlr4), and it's mainly for the **BigData** domain. The [ANTLR4](https://github.com/antlr/antlr4) generated the basic Parser, Visitor, and Listener, so it's easy to complete the **syntax validation**, **tokenizer**, **traverse** the AST, and so on features.
Besides, it' provides some helper methods, like `split` SQL, and filter the `--` and `/**/` types of comments in SQL.
Besides, it' provides some helper methods, like **split** SQL, and filter the `--` and `/**/` types of comments in SQL.
> Tips: This project is the default for Javascript language, also you can try to compile it to other languages if you need.
@ -35,10 +35,10 @@ yarn add dt-sql-parser
### Syntax Validation
First, we need to import the `Parser` object from `dt-sql-parser`, the different language needs
different Parser, so if you need to handle the `Flink SQL`, you can import the `FlinkSQL Parser`.
First, we need to import the **Parser** object from `dt-sql-parser`, the different language needs
different Parser, so if you need to handle the **Flink SQL**, you can import the **FlinkSQL Parser**.
The below is a `GenericSQL Parser` example:
The below is a **GenericSQL Parser** example:
```javascript
import { GenericSQL } from 'dt-sql-parser';
@ -82,12 +82,12 @@ output:
*/
```
We instanced a Parser object, and use the `validate` method to check the SQL syntax, if failed
returns an array object includes `error` message.
We instanced a Parser object, and use the **validate** method to check the SQL syntax, if failed
returns an array object includes **error** message.
### Tokenizer
You can also the all `tokens` by the Parser:
You can also the all **tokens** by the Parser:
```javascript
import { GenericSQL } from 'dt-sql-parser';
@ -152,7 +152,7 @@ TableName user1
### Listener
access the specified node in the AST by Listener pattern
Access the specified node in the AST by the Listener
```javascript
import { GenericSQL, SqlParserListener } from 'dt-sql-parser';
@ -185,7 +185,7 @@ TableName user1
### Clean
Clear the `comments` and `spaces` before and after
Clear the **comments** and **spaces** before and after
```javascript
import { cleanSql } from 'dt-sql-parser';
@ -202,7 +202,7 @@ select id,name from user1;
### Split SQL
When the SQL text is very big, you can think about to split it by `;` , and handle each line.
When the SQL text is very big, you can think about to split it by `;` , and handle it by each line.
```javascript
import { splitSql } from 'dt-sql-parser';