byteferry / rql-parser

ByteFerry RQL-Parser

ByteFerry RQL-Parser is used for parsing the RQL text to the paramaters with PHP array structure for the calling of php methods.

中文(Chinese)

This library consists of the following parts:

• lexer for tokenization RQL code
• parser for creating abstract syntax tree
• builder using simplized ABNF of RQL

Features

• High performance. The size of source code is less than 60KB.
• It is fully according the compile specification.
• Friendly for development with the checking of RQL grammer.
• Support the both reading and writing query.
• Support filter sort search and pagination
• Fully tested with phpUnit.
• Zero dependencies.

Why RQL

• For the same data, RQL has much fewer bytes than JSON.
• Simple and easy to learn.
• RQL will make the API interface more flexible
• RQL is more suitable for small and medium-sized projects than GraphQL.
• RQL can save you more development time.

Installation

$ composer requrire byteferry/rql-Parser

Usage

• parser a full query

use ByteFerry/RqlParser/Parser;

    $rql_string = 'any(User,columns(id,name,age,gender,address),filter(eq(age,19)))';
    try{
        $query = Parser::parse( $rql_string);
    }catch(\Exception $e){
        // will catch  errror of parse or grammer checking.
    }

if sucess, it will return a QueryInterface.

• parser a query segment of RQL query

use ByteFerry/RqlParser/Parser;

    $rql_string = 'filter(eq(age,19))';
    try{
        $query = Parser::parse( $rql_string, true);
    }catch(\Exception $e){
        // will catch  errror of parse or grammer checking.
    }

Here is a complex example. (Not a real query, but returns all properties)

        $rql_str= 'all(User,aggr(id,name,age,gender,address,avg(age)),filter(is(created_at, null()), search(Jhon),sort(-id,+age),having(gt(sum(amount),0)),limit(0,20)))'; //,    //,
        $result = Parser::parse($rql_str);
        // Returns：
        /** array (
             0 =>
             ByteFerry\RqlParser\Query::__set_state(array(
                'container' =>
               array (
                 'resource' => 'User',
                 'columns' =>
                 array (
                   0 => 'id',
                   1 => 'name',
                   2 => 'age',
                   3 => 'gender',
                   4 => 'address',
                   5 => 'avg(age)',
                 ),
                 'columns_operator' => 'aggr',
                 'group_by' =>
                 array (
                   0 => 'id',
                   1 => 'name',
                   2 => 'age',
                   3 => 'gender',
                   4 => 'address',
                 ),
                 'filter' =>
                 array (
                   0 => ' created_at is null ',
                 ),
                 'paramaters' =>
                 array (
                   'created_at' => NULL,
                   'sum(amount)' => '0',
                 ),
                 'search' => 'Jhon%',
                 'sort' =>
                 array (
                   0 =>
                   array (
                     0 => 'id',
                     1 => 'DESC',
                   ),
                   1 =>
                   array (
                     0 => 'age',
                     1 => 'ASC',
                   ),
                 ),
                 'having' =>
                 array (
                   0 => ' sum(amount) > 0 ',
                 ),
                 'limit' =>
                 array (
                   0 => '0',
                   1 => '20',
                 ),
                 'operator' => 'all',
                 'query_type' => 'Q_READ',
               ),
             )),
           )

        */

We could see that the parser add groupby automatically, and returns the property parematers for validation.

Documentation

RQL Documentation

Contribution

1. Fork the repository
2. Create Feat_xxx branch
3. Commit your code
4. Create Pull Request

Donation

If you find this project useful, you can buy author a glass of juice 🍹

License

MIT

Copyright [2020] ByteFerry [email protected]