Question

我们希望在数据表中存储大量数据（超过60K行）但数据表无法执行并且输出效果不佳。数据表在20000条记录之前不会失败。以下是源代码

 <div class="row">
                        <table id="customer_table"  class="display" cellspacing="0" width="100%">
                         <thead>    
                    <tr>
                        <th>#</th>
                        <th>Customer Name</th>
                        <th>Email</th>
                        <th>Group</th>
                        <th>Action</th>
                    </tr>
                </thead>
                <tbody>


    <?php   for($p=1;$p<=200;$p++)

    {

    $ch = curl_init("https://$shop_name/admin/customers.json?limit=250&page=".$p."");
                    curl_setopt($ch, CURLOPT_CUSTOMREQUEST, "GET"); 
                    curl_setopt($ch,CURLOPT_RETURNTRANSFER,TRUE);
                    curl_setopt($ch, CURLOPT_POSTFIELDS, $params); 
                    curl_setopt($ch, CURLOPT_HTTPHEADER, array("Content-Type: application/json",
                                        "X-Shopify-Access-Token: $store_token"));
                     $result = curl_exec($ch);
                    $decoded_customer = json_decode($result, true); 
                    //var_dump($decoded_customer); 
                    ?>

    <?php for($i=0;$i<count($decoded_customer['customers']);$i++)

    {
    ?>
            <tr>
            <input type="hidden" value="<?php echo $decoded_customer['customers'][$i]['id']; ?>" >
            <td>#</td>
            <td><?php echo $decoded_customer['customers'][$i]['first_name']." ".$decoded_customer['customers'][$i]['last_name'];?></td>
            <td><?php echo $decoded_customer['customers'][$i]['email']; ?></td>
            <td>

      <select class="form-control" >
           <option value="" >
               No Selected
            </option>
                <?php 
                session_start();

                $shop_name = $_SESSION['shop'];
                include("dbconnect.php");

                $sql_select_tbl_shop = "SELECT * FROM `store_info_tbl` WHERE `store_name` = '$shop_name'";
                $select_tbl_shop = mysql_query($sql_select_tbl_shop);

                if(mysql_num_rows($select_tbl_shop)>0){

                $row_select_val=mysql_fetch_array($select_tbl_shop );
                $shop_id=$row_select_val['id']; 

                //select selected group name
                $customer_id=$decoded_customer['customers'][$i]['id'];


                $sqlselectgroup_customer="SELECT * FROM `tbl_group` WHERE `store_name`='$shop_id'";
                $resselectgroup_customer=mysql_query($sqlselectgroup_customer);
                if(mysql_num_rows($resselectgroup_customer))
                {
                  while($rowselectgroup_customer=mysql_fetch_assoc($resselectgroup_customer))
                  { 
                $sqlselectcustomergroup="SELECT * FROM `tbl_customer_detail` WHERE `customer_shop_id`='$customer_id'";
                $resselectcustomergroup=mysql_query($sqlselectcustomergroup);

                if(mysql_num_rows($resselectcustomergroup)>0){
                //$rowselectcustomer=mysql_num_rows($resselectcustomergroup);

                 //$rowid=mysql_fetch_array('group_name');
                 $rowid=mysql_fetch_array($resselectcustomergroup);
                 $customer_group=$rowid['group_name'];

                ?>

            <option value="<?php echo $rowselectgroup_customer['id']; ?>" <?php if($customer_group==$rowselectgroup_customer['id']) { ?>selected <?php } ?> >
            <?php echo $rowselectgroup_customer['group_name']; ?>
            </option>
              <?php } else{ ?>

           <option value="<?php echo $rowselectgroup_customer['id']; ?>" >
            <?php echo $rowselectgroup_customer['group_name']; ?>
            </option>

                <?php  } } } } ?>

            </select>
            </td>
            <td><button type="button" class="btn btn-primary save">Save</button></td>
            </tr>
            <?php } } ?>



    </tbody>

    </table>

    <script type="text/javascript" > 
               $(document).ready(function(){
                 $('#customer_table').DataTable();

               }); 
               $(document).on('click','.save',function(){
                   var shopify_customer_id=$(this).parent().parent().find('input').val();
                   var customer_name=$(this).parent().parent().find('td').eq(1).html();
                   var customer_email=$(this).parent().parent().find('td').eq(2).html();
                   var group_name=$(this).parent().parent().find('td').find('select').val();
                  //alert(shopify_customer_id+customer_name+customer_email+group_name);


                  $.ajax({
                        type: "post",
                        url: "ajaxcustomerdata.php",
                        data: {
                            shopify_customer_id:shopify_customer_id,
                            customer_name:customer_name,
                            customer_email:customer_email,
                            group_name:group_name
                        },
                        success: function (data){
                           alert(data);

                        },
                        error: function (xhr, ajaxOptions, thrownError){
                        }
                    });



                   });

            </script>
            <script>

            </script>



    </div>

如果有任何人提出任何建议，请帮我解决此问题

Answer 1

请从数据表中阅读https://datatables.net/extensions/scroller/examples/initialisation/server-side_processing.html官方帖子。它显示了如何在数据表中添加数千条记录。

以下是此示例。

$(document).ready(function() {
    $('#example').DataTable( {
        serverSide: true,
        ordering: false,
        searching: false,
        ajax: function ( data, callback, settings ) {
            var out = [];

            for ( var i=data.start, ien=data.start+data.length ; i<ien ; i++ ) {
                out.push( [ i+'-1', i+'-2', i+'-3', i+'-4', i+'-5' ] );
            }

            setTimeout( function () {
                callback( {
                    draw: data.draw,
                    data: out,
                    recordsTotal: 160421,
                    recordsFiltered: 160421
                } );
            }, 50 );
        },
        scrollY: 600,
        scroller: {
            loadingIndicator: true
        }
    } );
} );

数据表的html：

<table id="example" class="display nowrap" width="100%" cellspacing="0">
        <thead>
            <tr>
                <th>ID</th>
                <th>First name</th>
                <th>Last name</th>
                <th>ZIP / Post code</th>
                <th>Country</th>
            </tr>
        </thead>
    </table>

Answer 2

虽然您不应该一次加载这么多记录，但它会使您的服务器不安全，如果一次发出多个请求，您可能会耗尽资源。您应该尝试基于Ajax的Datatable。

https://datatables.net/examples/ajax/objects.html

上面的链接使用AJAX调用来加载数据，这样您就不必查询所有60,000行。

如果正在获取超过60000条记录，则datatable不支持

2 个答案: