mysqli_fetch_all没有在共享主机上工作,需要替代方案

时间:2014-12-10 04:15:12

标签: php mysql json mysqli datatables

在通过XAMPP在localhost上进行开发时,我在代码中使用了mysqli_fetch_all。但在godaddy共享主机上传后,它无法正常工作。

我在互联网上研究并发现服务器应该使用MySQLnd来运行mysqli_fetch_all。所以我无法在服务器上运行我当前的代码。

我需要这个代码的确切替代品。有什么建议吗?

当前代码:

$result = mysqli_query($con,$query);
$arr = mysqli_fetch_all($result, MYSQLI_ASSOC);

$totalrecords = count($arr);

$json = array('sEcho' => '1', 'iTotalRecords' => $totalrecords, 'iTotalDisplayRecords' => $totalrecords, 'aaData' => $arr);
echo json_encode($json );

2 个答案:

答案 0 :(得分:4)

如果由于您没有安装mysqlnd而无法使用它,那么就像通常使用mysqli_fetch_assoc()

一样抓取它
$arr = array();
$result = mysqli_query($con,$query);
$totalrecords = mysqli_num_rows($result);
while($row = mysqli_fetch_assoc($result)) {
    $arr[] = $row;
}

$json = array('sEcho' => '1', 'iTotalRecords' => $totalrecords, 'iTotalDisplayRecords' => $totalrecords, 'aaData' => $arr);
echo json_encode($json);

答案 1 :(得分:0)

我遇到了与我的主机相同的问题,并且为了减少代码重构,我认为更好的方法是使用mysqli_fetch_all()public function mysqli_fetch_all_alt($result) { $select = array(); while( $row = mysqli_fetch_assoc($result) ) { $select[] = $row; } return $select; } 实现类似的功能,返回与{{1}相同的功能}, 像:

def newPoly3D(self):

    from matplotlib.cm import autumn

    # This passes a pandas dataframe of shape (data on rows x 4 columns)

    df = self.loadData() 

    fig = plt.figure(figsize=(10,10))
    ax = fig.gca(projection='3d')
    vels = [1.42,1.11,0.81,0.50] 
    which_joints = df.columns
    L = len(which_joints)
    dmin,dmax = df.min().min(),df.max().max()
    dix = df.index.values
    offset=-5
    for i,j in enumerate(which_joints):
        ax.add_collection3d(plt.fill_between(dix,df[j],
                                             dmin,
                                             lw=1.5,
                                             alpha=0.3/float(i+1.),
                                             facecolor=autumn(i/float(L))),
                                             zs=vels[i],
                                             zdir='y')
    ax.grid(False)
    ax.set_xlabel('A') 
    ax.set_xlim([0,df.index[-1]])
    ax.set_xticks([])
    ax.xaxis.set_ticklabels([])
    ax.set_axis_off
    ax.set_ylabel('B') 
    ax.set_ylim([0.4, max(vels)+0.075])
    ax.set_yticks(vels)
    ax.tick_params(direction='out', pad=10)
    ax.set_zlabel('C') 
    ax.set_zlim([dmin,dmax])
    ax.xaxis.labelpad = -10
    ax.yaxis.labelpad = 15
    ax.zaxis.labelpad = 15
    # Note the inversion of the axis
    plt.gca().invert_yaxis()

然后在项目中执行find-replace。

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