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Monthly Downloads: 163
Programming language: Rust
License: MIT License
Tags: Parser     Param     Query     REST     URL    
Latest version: v0.0.9

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README

inquerest

Inquerest can parse complex url query into a SQL abstract syntax tree.

Example this url:

 /person?age=lt.42&(student=eq.true|gender=eq.'M')&group_by=sum(age),grade,gender&having=min(age)=gt.42&order_by=age.desc,height.asc&page=20&page_size=100

will be parsed into:

Select {
        from_table: FromTable {
            from: Table {
                name: "person",
            },
            join: None,
        },
        filter: Some(
            BinaryOperation(
                BinaryOperation {
                    left: BinaryOperation(
                        BinaryOperation {
                            left: Column(
                                Column {
                                    name: "age",
                                },
                            ),
                            operator: Lt,
                            right: Value(
                                Number(
                                    42.0,
                                ),
                            ),
                        },
                    ),
                    operator: And,
                    right: Nested(
                        BinaryOperation(
                            BinaryOperation {
                                left: BinaryOperation(
                                    BinaryOperation {
                                        left: Column(
                                            Column {
                                                name: "student",
                                            },
                                        ),
                                        operator: Eq,
                                        right: Value(
                                            Bool(
                                                true,
                                            ),
                                        ),
                                    },
                                ),
                                operator: Or,
                                right: BinaryOperation(
                                    BinaryOperation {
                                        left: Column(
                                            Column {
                                                name: "gender",
                                            },
                                        ),
                                        operator: Eq,
                                        right: Value(
                                            String(
                                                "M",
                                            ),
                                        ),
                                    },
                                ),
                            },
                        ),
                    ),
                },
            ),
        ),
        group_by: Some(
            [
                Function(
                    Function {
                        name: "sum",
                        params: [
                            Column(
                                Column {
                                    name: "age",
                                },
                            ),
                        ],
                    },
                ),
                Column(
                    Column {
                        name: "grade",
                    },
                ),
                Column(
                    Column {
                        name: "gender",
                    },
                ),
            ],
        ),
        having: Some(
            BinaryOperation(
                BinaryOperation {
                    left: Function(
                        Function {
                            name: "min",
                            params: [
                                Column(
                                    Column {
                                        name: "age",
                                    },
                                ),
                            ],
                        },
                    ),
                    operator: Gt,
                    right: Value(
                        Number(
                            42.0,
                        ),
                    ),
                },
            ),
        ),
        projection: None,
        order_by: Some(
            [
                Order {
                    expr: Column(
                        Column {
                            name: "age",
                        },
                    ),
                    direction: Some(
                        Desc,
                    ),
                },
                Order {
                    expr: Column(
                        Column {
                            name: "height",
                        },
                    ),
                    direction: Some(
                        Asc,
                    ),
                },
            ],
        ),
        range: Some(
            Page(
                Page {
                    page: 20,
                    page_size: 100,
                },
            ),
        ),
    }

Which translate to the sql statement:

SELECT * FROM person WHERE age < 42 AND (student = true OR gender = 'M') GROUP BY sum(age), grade, gender HAVING min(age) > 42 ORDER BY age DESC, height ASC LIMIT 100 OFFSET 1900 ROWS

Note: However, you don't want to convert to the sql statement directly to avoid sql injection attack. You need to validate the tables and columns if it is allowed to be accessed by the user. You also need to extract the values yourself and supply it as a parameterized value into your ORM.

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License: MIT


*Note that all licence references and agreements mentioned in the inquerest README section above are relevant to that project's source code only.