README

dt-sql-parser

dt-sql-parser is a SQL Parser project built with ANTLR4, and it's mainly for the BigData domain. The 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.

Supported SQL:

Generic SQL (MySQL)
Flink SQL
Spark SQL
Hive SQL
PL/SQL

Tips: This project is the default for Javascript language, also you can try to compile it to other languages if you need.

Integrating SQL Parser with Monaco Editor

We have provided a monaco-sql-languages package, you can integrate with monaco-editor easily.

Installation

// use npm
npm i dt-sql-parser --save

// use yarn
yarn add dt-sql-parser

Usage

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.

The below is a GenericSQL Parser example:

import { GenericSQL } from 'dt-sql-parser';

const parser = new GenericSQL();

const correctSql = 'select id,name from user1;';
const errors = parser.validate(correctSql);
console.log(errors);

Output:

/*
[]
*/

Validate failed:

const incorrectSql = 'selec id,name from user1;'
const errors = parser.validate(incorrectSql);
console.log(errors);

Output:

/*
[
    {
        endCol: 5,
        endLine: 1,
        startCol: 0,
        startLine: 1,
        message: "mismatched input 'SELEC' expecting {<EOF>, 'ALTER', 'ANALYZE', 'CALL', 'CHANGE', 'CHECK', 'CREATE', 'DELETE', 'DESC', 'DESCRIBE', 'DROP', 'EXPLAIN', 'GET', 'GRANT', 'INSERT', 'KILL', 'LOAD', 'LOCK', 'OPTIMIZE', 'PURGE', 'RELEASE', 'RENAME', 'REPLACE', 'RESIGNAL', 'REVOKE', 'SELECT', 'SET', 'SHOW', 'SIGNAL', 'UNLOCK', 'UPDATE', 'USE', 'BEGIN', 'BINLOG', 'CACHE', 'CHECKSUM', 'COMMIT', 'DEALLOCATE', 'DO', 'FLUSH', 'HANDLER', 'HELP', 'INSTALL', 'PREPARE', 'REPAIR', 'RESET', 'ROLLBACK', 'SAVEPOINT', 'START', 'STOP', 'TRUNCATE', 'UNINSTALL', 'XA', 'EXECUTE', 'SHUTDOWN', '--', '(', ';'}"
    }
]
*/

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

Get all tokens by the Parser:

import { GenericSQL } from 'dt-sql-parser';

const parser = new GenericSQL()
const sql = 'select id,name,sex from user1;'
const tokens = parser.getAllTokens(sql)
console.log(tokens)
/*
[
    {
        channel: 0
        column: 0
        line: 1
        source: [SqlLexer, InputStream]
        start: 0
        stop: 5
        tokenIndex: -1
        type: 137
        _text: null
        text: "SELECT"
    },
    ...
]
*/

Visitor

Traverse the tree node by the Visitor:

import { GenericSQL, SqlParserVisitor } from 'dt-sql-parser';

const parser = new GenericSQL()
const sql = `select id,name from user1;`
// parseTree
const tree = parser.parse(sql)
class MyVisitor extends SqlParserVisitor {
    // overwrite visitTableName
    visitTableName(ctx) {
        let tableName = ctx.getText().toLowerCase()
        console.log('TableName', tableName)
    }
    // overwrite visitSelectElements
    visitSelectElements(ctx) {
        let selectElements = ctx.getText().toLowerCase()
        console.log('SelectElements', selectElements)
    }
}
const visitor = new MyVisitor()
visitor.visit(tree)

/*
SelectElements id,name
TableName user1
*/

Tips: The node's method name can be found in the Visitor file under the corresponding SQL directory

Listener

Access the specified node in the AST by the Listener

import { GenericSQL, SqlParserListener } from 'dt-sql-parser';

const parser = new GenericSQL();
const sql = 'select id,name from user1;'
// parseTree
const tree = parser.parse(sql)
class MyListener extends SqlParserListener {
    enterTableName(ctx) {
        let tableName = ctx.getText().toLowerCase()
        console.log('TableName', tableName)
    }
    enterSelectElements(ctx) {
        let selectElements = ctx.getText().toLowerCase()
        log('SelectElements', selectElements)
    }
}
const listenTableName = new MyListener();
parser.listen(listenTableName, tree);

/*
SelectElements id,name
TableName user1
*/

Tips: The node's method name can be found in the Listener file under the corresponding SQL directory

Clean

Clear the comments and spaces before and after

import { cleanSql } from 'dt-sql-parser';

const sql = `-- comment comment
select id,name from user1; `
const cleanedSql = cleanSql(sql)
console.log(cleanedSql)

/*
select id,name from user1;
*/

Split SQL

When the SQL text is very big, you can think about to split it by ; , and handle it by each line.

import { splitSql } from 'dt-sql-parser';

const sql = `select id,name from user1;
select id,name from user2;`
const sqlList = splitSql(sql)
console.log(sqlList)

/*
["select id,name from user1;", "\nselect id,name from user2;"]
*/

Other API

parserTreeToString(input: string)

Parse the input and convert the AST to a List-like tree string.

Roadmap

Auto-complete
Code formatting

License

MIT

@icekuma/dt-sql-parser

Usage no npm install needed!