使用phpunit在mysql中测试二进制类型的数据库 [英] testing database with binary type in mysql using phpunit

问题描述

我尝试使用php编写数据库测试.我有一个表，将密码的哈希存储为二进制. 如何在xml数据集中设置测试数据，例如，这是我的数据的十六进制，而我得到的错误数据太长而无法列. 谢谢.

I try to write tests using php for database. I have a table that stores hash of password as binary. How can I set test data in xml dataset, for example here is hex of my data and I get an error data too long to column. Thank you.

 <dataset>
    <table name="subscription_ips">

     <column>password</column>   
     <row>
       <value>0x771C87E79B130E3FB966E424D7F1358D8DABBA0A26F288C0C1B5D8E3D95F2942100CA54B6824A7AC0964180A9426A1C37C371BA3FDBB000621FE175608C4B16C</value>
     </row>

 </table>

</dataset>

但是看起来phpunit无法使用

But it looks like phpunit can't insert it, using

0x771C87E79B130E3FB966E424D7F1358D8DABBA0A26F288C0C1B5D8E3D95F2942100CA54B6824A7AC0964180A9426A1C37C371BA3FDBB000621FE175608C4B16C而不是0x771C87E79B130E3FB966E424D7F1358D8DABBA0A26F288C0C1B5D8E3D95F2942100CA54B6824A7AC0964180A9426A1C37C371BA3FDBB000621FE175608C4B16C 试图将测试数据插入表中.

0x771C87E79B130E3FB966E424D7F1358D8DABBA0A26F288C0C1B5D8E3D95F2942100CA54B6824A7AC0964180A9426A1C37C371BA3FDBB000621FE175608C4B16C instead of 0x771C87E79B130E3FB966E424D7F1358D8DABBA0A26F288C0C1B5D8E3D95F2942100CA54B6824A7AC0964180A9426A1C37C371BA3FDBB000621FE175608C4B16C trying to insert test data to table.

推荐答案

我现在看到使用替换装饰器的这样的决定:

I see now a decision like this, using replacement decorator:

public function getDataSet($pFileName=null)
{

    if ($pFileName===null) {
        $vFileName = $this->_fixturesDir.'init_flat.xml';
    } else {
        $vFileName = $pFileName;
    }


    $ds = $this->createFlatXmlDataSet($vFileName);
    $rds = new PHPUnit_Extensions_Database_DataSet_ReplacementDataSet($ds);
    $rds->addSubStrReplacement('##HASH_wince4_1318143535##', hash('sha512', 'wince4' . '1318143535', true));
    $rds->addFullReplacement('##NULL##', null);        
    return $rds;        
}

在flatXML中: 它似乎不可靠，不方便且不可扩展.我们尝试用必要的哈希替换某些文本.我希望任何人都可以对这个问题提出更适当的决定.

In flatXML: It doesn't seem reliable, convinient and scalable. We try to replace some text with neccessary hash. I hope anybody could propose more appropriate decision of the problem.

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