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@zhengjialux/sql92-json

v0.19.11

Published

can stringify a JSON into a SQL and viceversa parse a SQL statement and serialize it into a JSON

Downloads

12

Readme

SQL92-JSON

can stringify a JSON into a SQL and viceversa parse a SQL statement and serialize it into a JSON.

基于 SQL92-JSON 对 stringify 模块解析添加了,除原作者开发的常规内置函数外的自定义函数支持。例子:https://github.com/pinyixia/graphical-sql-parser

Installation | API | Examples | Recipes | References | License

NPM version Build Status Badge size Coverage Status JavaScript Style Guide

Demo

Installation

Using npm

With npm do

npm install sql92-json

Using a CDN

Add this to your HTML page

<script src="https://unpkg.com/sql92-json/dist/sql92-json.min.js"></script>

API

Both CommonJS and ES6 imports are supported. Code snippets below use require, it is also possible to do

import { parse, stringify } from 'sql92-json'

stringify

Convert a JSON to SQL

Both require('sql92-json').stringify and require('sql92-json/stringify') are valid.

var json2sql = require('sql92-json').stringify

console.log(json2sql({ SELECT: ['*'], FROM: ['revenue'] }))
//
// SELECT *
// FROM revenue
//

parse

Convert an SQL to JSON

Both require('sql92-json').parse and require('sql92-json/parse') are valid.

var sql2json = require('sql92-json').parse

console.log(sql2json('SELECT * FROM revenue')
// {
//   SELECT: ['*'],
//   FROM: ['revenue']
// }

Recipes

Examples

See examples folder where every .json file has its homonym .sql.

See for example the following example JSON and its corresponding SQL.

{
  "SELECT": [ { "COUNT": "*", "AS": "num" } ],
  "FROM": [
    {
      "SELECT": ["*"],
      "FROM": ["mytable"],
      "WHERE": [
        "yyyymmdd", { "=": 20170101 },
        { "AND": [ "country", { "IN": ["IT", "US"] } ] },
        { "AND": [
          "categoryid", { "BETWEEN": [100, 200] },
          { "OR": [ "productname", { "!=": "'icecream'" } ] }
        ] }
      ]
    }
  ]
}
SELECT COUNT(*) AS num
FROM (
	SELECT *
	FROM mytable
	WHERE yyyymmdd = 20170101
		AND country IN ( 'IT', 'US' )
		AND (
			categoryid BETWEEN 100 AND 200
			OR productname != 'icecream'
		)
)

References

sql1992.txt was downloaded from here.

License

MIT