Norway Porridge Makers

    dt-sql-parser
    TypeScript icon, indicating that this package has built-in type declarations

    4.0.0-beta.2.2 • Public • Published

    dt-sql-parser

    NPM version NPM downloads

    English | 简体中文

    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

    Install

    npm i dt-sql-parser

    DownloadsWeekly Downloads

    512

    Version

    4.0.0-beta.2.2

    License

    MIT

    Unpacked Size

    49.4 MB

    Total Files

    112

    Last publish

    Collaborators

    • andyzjy
    • small-nuo
    • ziv
    • jnjsxi
    • xuexk
    • cailian