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我正在使用PHP SQL 解析器

我的代码

<?php
    require_once dirname(__FILE__) . '/../src/PHPSQLParser.php';

    $sql = 'SELECT Orders.OrderID, Customers.CustomerName, Orders.OrderDate
    FROM Orders
    LEFT JOIN Customers ON Orders.CustomerID=Customers.CustomerID where 
    Customers.CustomerName = "Siddhu"'; 

    $sql = strtolower($sql);
    echo $sql . "\n";
    $parser = new PHPSQLParser($sql, true);
    echo "<pre>";
    print_r($parser->parsed);
?>

我得到如下数组的输出

Array (
    [SELECT] => Array
        (
            [0] => Array
                (
                    [expr_type] => colref
                    [alias] => 
                    [base_expr] => orders.orderid
                    [no_quotes] => orders.orderid
                    [sub_tree] => 
                    [delim] => ,
                    [position] => 7
                )

            [1] => Array
                (
                    [expr_type] => colref
                    [alias] => 
                    [base_expr] => customers.customername
                    [no_quotes] => customers.customername
                    [sub_tree] => 
                    [delim] => ,
                    [position] => 23
                )

            [2] => Array
                (
                    [expr_type] => colref
                    [alias] => 
                    [base_expr] => orders.orderdate
                    [no_quotes] => orders.orderdate
                    [sub_tree] => 
                    [delim] => 
                    [position] => 47
                )

        )

    [FROM] => Array
        (
            [0] => Array
                (
                    [expr_type] => table
                    [table] => orders
                    [no_quotes] => orders
                    [alias] => 
                    [join_type] => JOIN
                    [ref_type] => 
                    [ref_clause] => 
                    [base_expr] => orders
                    [sub_tree] => 
                    [position] => 70
                )

            [1] => Array
                (
                    [expr_type] => table
                    [table] => customers
                    [no_quotes] => customers
                    [alias] => 
                    [join_type] => LEFT
                    [ref_type] => ON
                    [ref_clause] => Array
                        (
                            [0] => Array
                                (
                                    [expr_type] => colref
                                    [base_expr] => orders.customerid
                                    [no_quotes] => orders.customerid
                                    [sub_tree] => 
                                    [position] => 101
                                )

                            [1] => Array
                                (
                                    [expr_type] => operator
                                    [base_expr] => =
                                    [sub_tree] => 
                                    [position] => 118
                                )

                            [2] => Array
                                (
                                    [expr_type] => colref
                                    [base_expr] => customers.customerid
                                    [no_quotes] => customers.customerid
                                    [sub_tree] => 
                                    [position] => 119
                                )

                        )

                    [base_expr] => customers on orders.customerid=customers.customerid
                    [sub_tree] => 
                    [position] => 88
                )

        )

    [WHERE] => Array
        (
            [0] => Array
                (
                    [expr_type] => colref
                    [base_expr] => customers.customername
                    [no_quotes] => customers.customername
                    [sub_tree] => 
                    [position] => 146
                )

            [1] => Array
                (
                    [expr_type] => operator
                    [base_expr] => =
                    [sub_tree] => 
                    [position] => 169
                )

            [2] => Array
                (
                    [expr_type] => const
                    [base_expr] => "siddhu"
                    [sub_tree] => 
                    [position] => 171
                )

        )

)

现在我想使用这个数组生成查询。我为什么要这样做，稍后我会在这个数组中添加额外的参数。就像我在 WHERE 子句或表中传递附加条件

例如：上一个查询

 $sql = 'SELECT Orders.OrderID, Customers.CustomerName, Orders.OrderDate
    FROM Orders
    LEFT JOIN Customers ON Orders.CustomerID=Customers.CustomerID where 
    Customers.CustomerName = "Siddhu"';

现在我想在 where 子句中再传递两个条件，例如 WHERE 条件 Customers.CustomerID = "123" and status = "Active" and created_by = 1;

所以在这里我的最终查询就像

  $sql = 'SELECT Orders.OrderID, Customers.CustomerName, Orders.OrderDate
    FROM Orders
    LEFT JOIN Customers ON Orders.CustomerID=Customers.CustomerID where 
    Customers.CustomerName = "Siddhu" AND Customers.CustomerID = "123" and status = "Active" and created_by = 1;

那么我该如何实现呢，或者PHPSQLPARSER中是否有任何函数使用这个数组来生成查询？感谢您的提前和抱歉任何语法错误

4

2 回答 2

2

要从数组构建查询，PHPSQLParser有一个creator方法，

从这里的文档：解析器手册

有两种方法可以从解析器输出创建语句

使用构造函数

为方便起见，构造函数只需在提供的解析器树输出上调用 create() 方法。

 $parser = new PHPSQLParser('select 1');

 $creator = new PHPSQLCreator($parser->parsed);

 echo $creator->created;

使用 create() 方法

 $parser = new PHPSQLParser('select 2');

 $creator = new PHPSQLCreator();

 echo $creator->create($parser->parsed); 

 /* this is okay, the SQL is saved in the _created_ property. */

 /* get the SQL statement for the last parsed statement */

 $save = $creator->created;

当然因为$parser->parsed是一个array，你可以传递你自己的数组

echo $creator->create($myArray);

要将条件添加到数组中，可以将其添加到WHERE条件数组中

每个条件都有 3 个数组定义colref（列名）、operator（以及 .. 运算符）和const（值）

棘手的部分是position在的子数组中，WHERE因为您需要指定要插入这三个中的每一个的确切位置，因此根据WHERE您提供的示例中的，您可以看到运算符的位置=是169（开始从0)

检查此工具以查看字符串中的字符位置（从 1 开始）。

并基于此Complexe 示例

您的最终WHERE数组应如下所示（我不确定您是否需要[no_quotes]密钥）：

[WHERE] => Array
(
    [0] => Array
        (
            [expr_type] => colref
            [base_expr] => customers.customername
            [no_quotes] => customers.customername
            [sub_tree] => 
            [position] => 146
        )

    [1] => Array
        (
            [expr_type] => operator
            [base_expr] => =
            [sub_tree] => 
            [position] => 169
        )

    [2] => Array
        (
            [expr_type] => const
            [base_expr] => "siddhu"
            [sub_tree] => 
            [position] => 171
        )
    
    // adding other conditions 

    [3] => Array
        (
            [expr_type] => operator
            [base_expr] => and
            [sub_tree] => 
            [position] => 180
        )
        
    [4] => Array
        (
            [expr_type] => colref
            [base_expr] => customers.CustomerID 
            [no_quotes] => customers.CustomerID 
            [position] => 184
        )

    [5] => Array
        (
            [expr_type] => operator
            [base_expr] => =
            [sub_tree] => 
            [position] => 205
        )

    [6] => Array
        (
            [expr_type] => const
            [base_expr] => "123"
            [sub_tree] => 
            [position] => 207
        )
        
    [7] => Array
        (
            [expr_type] => operator
            [base_expr] => and
            [sub_tree] => 
            [position] => 213
        )
            
    [8] => Array
        (
            [expr_type] => colref
            [base_expr] => status 
            [no_quotes] => status
            [position] => 217
        )

    [9] => Array
        (
            [expr_type] => operator
            [base_expr] => =
            [sub_tree] => 
            [position] => 224
        )

    [10] => Array
        (
            [expr_type] => const
            [base_expr] => "Active"
            [sub_tree] => 
            [position] => 226
        )
        
    [11] => Array
        (
            [expr_type] => operator
            [base_expr] => and
            [sub_tree] => 
            [position] => 235
        )
            
    [12] => Array
        (
            [expr_type] => colref
            [base_expr] => created_by  
            [no_quotes] => created_by 
            [position] => 239
        )

    [13] => Array
        (
            [expr_type] => operator
            [base_expr] => =
            [sub_tree] => 
            [position] => 250
        )

    [14] => Array
        (
            [expr_type] => const
            [base_expr] => 1
            [sub_tree] => 
            [position] => 252
        )
)

PS：我使用了您提供的多个条件的查询，并取消了缩进和换行符来确定位置，如果您没有所需的字符串输出，请使用这些值，因为这应该只是一个示例。

我希望这有助于或至少给你一个想法和好运。

于 2018-03-27T23:10:14.703 回答
0

老实说，我承认我无法完全理解这个问题。但试图从我能够理解的内容中回答它。

我相信您想使用第一个查询的输出并生成另一个带有附加 where 子句的查询。您可以通过在原始查询本身中使用带有 CONCAT 的简单附加选择子句来做到这一点。将硬编码的原始查询与所需的列连接起来，并生成动态 SQL 作为附加输出列。

SELECT Orders.OrderID, Customers.CustomerName, Orders.OrderDate,
       CONCAT("SELECT Orders.OrderID, Customers.CustomerName, Orders.OrderDate  FROM Orders LEFT JOIN Customers ON Orders.CustomerID=Customers.CustomerID WHERE Customers.CustomerName = \"Siddhu\"", " AND Customers.CustomerID = \"", Customers.CustomerID, " and status = \"Active\" and created_by = 1;")
FROM Orders
LEFT JOIN Customers ON Orders.CustomerID=Customers.CustomerID
WHERE Customers.CustomerName = "Siddhu"

如果状态字段也来自其中一个表，那么您可以中断 CONCAT 函数并改用该列名。希望能帮助到你。

于 2018-03-27T17:45:29.100 回答