how to fetch and load large amount of data into jquery datable using php

Question

hi i am using jquery's datatable plugin and it was working fine when my data was around 600 but now my data is 28000 and the data table is getting slow to load it so is der a way where i can make its execution faster so that it wont take much time to load ma newbie in php so i knw just the common syntax. can anyone please help me here is my code

<script type="text/javascript" charset="utf-8">
  $(document).ready(function(){
        $('#datatables').dataTable({
           "sPaginationType":"full_numbers",
            "aaSorting":[[2, "desc"]],
            "bJQueryUI":true,
            "sAjaxSource": "ajax.php"
        });
    })

</script>

 <table id="datatables" class="display">
     <thead>
         <tr>
             <th>Srno.</th>
             <th>Brno.</th>
             <th>Name</th>
             <th>Address</th>
             <th>City</th>
             <th>Pin</th>
             <th>Mobile</th>
             <th>Actions</th>
         </tr>
     </thead>
     <tbody>
     </tbody>
  </table>

here is ajax.php
<?php
require("includes/dbconnect.php");
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
 * Easy set variables
 */

/* Array of database columns which should be read and sent back to DataTables. Use a space where
 * you want to insert a non-database field (for example a counter or static image)
 */
$aColumns = array('grno', 'brno', 'name', 'address', 'city', 'pin', 'mobile');

/* Indexed column (used for fast and accurate table cardinality) */
$sIndexColumn = "grno";

/* DB table to use */
$sTable = "mdb";

/* Database connection information */
$gaSql['user'] = "root";
$gaSql['password'] = "rajF@1998";
$gaSql['db'] = "mdb";
$gaSql['server'] = "localhost";



/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
 * If you just want to use the basic configuration for DataTables with PHP server-side, there is
 * no need to edit below this line
 */

/*
 * MySQL connection
 */
$gaSql['link'] = mysql_pconnect($gaSql['server'], $gaSql['user'], $gaSql['password']) or
        die('Could not open connection to server');

mysql_select_db($gaSql['db'], $gaSql['link']) or
        die('Could not select database ' . $gaSql['db']);


/*
 * Paging
 */
$sLimit = "";
if (isset($_GET['iDisplayStart']) && $_GET['iDisplayLength'] != '-1') {
    $sLimit = "LIMIT " . mysql_real_escape_string($_GET['iDisplayStart']) . ", " .
            mysql_real_escape_string($_GET['iDisplayLength']);
}


/*
 * Ordering
 */
$sOrder = "";
if (isset($_GET['iSortCol_0'])) {
    $sOrder = "ORDER BY  ";
    for ($i = 0; $i < intval($_GET['iSortingCols']); $i++) {
        if ($_GET['bSortable_' . intval($_GET['iSortCol_' . $i])] == "true") {
            $sOrder .= $aColumns[intval($_GET['iSortCol_' . $i])] . "
                    " . mysql_real_escape_string($_GET['sSortDir_' . $i]) . ", ";
        }
    }

    $sOrder = substr_replace($sOrder, "", -2);
    if ($sOrder == "ORDER BY") {
        $sOrder = "";
    }
}


/*
 * Filtering
 * NOTE this does not match the built-in DataTables filtering which does it
 * word by word on any field. It's possible to do here, but concerned about efficiency
 * on very large tables, and MySQL's regex functionality is very limited
 */
$sWhere = "";
if (isset($_GET['sSearch']) && $_GET['sSearch'] != "") {
    $sWhere = "WHERE (";
    for ($i = 0; $i < count($aColumns); $i++) {
        $sWhere .= $aColumns[$i] . " LIKE '%" . mysql_real_escape_string($_GET['sSearch']) . "%' OR ";
    }
    $sWhere = substr_replace($sWhere, "", -3);
    $sWhere .= ')';
}

/* Individual column filtering */
for ($i = 0; $i < count($aColumns); $i++) {
    if (isset($_GET['bSearchable_' . $i]) && $_GET['bSearchable_' . $i] == "true" && $_GET['sSearch_' . $i] != '') {
        if ($sWhere == "") {
            $sWhere = "WHERE ";
        } else {
            $sWhere .= " AND ";
        }
        $sWhere .= $aColumns[$i] . " LIKE '%" . mysql_real_escape_string($_GET['sSearch_' . $i]) . "%' ";
    }
}


/*
 * SQL queries
 * Get data to display
 */
$sQuery = "
        SELECT SQL_CALC_FOUND_ROWS " . str_replace(" , ", " ", implode(", ", $aColumns)) . "
        FROM   $sTable
        $sWhere
        $sOrder
        $sLimit
    ";
$rResult = mysql_query($sQuery, $gaSql['link']) or die(mysql_error());

/* Data set length after filtering */
$sQuery = "
        SELECT FOUND_ROWS()
    ";
$rResultFilterTotal = mysql_query($sQuery, $gaSql['link']) or die(mysql_error());
$aResultFilterTotal = mysql_fetch_array($rResultFilterTotal);
$iFilteredTotal = $aResultFilterTotal[0];

/* Total data set length */
$sQuery = "
        SELECT COUNT(" . $sIndexColumn . ")
        FROM   $sTable
    ";
$rResultTotal = mysql_query($sQuery, $gaSql['link']) or die(mysql_error());
$aResultTotal = mysql_fetch_array($rResultTotal);
$iTotal = $aResultTotal[0];


/*
 * Output
 */
$output = array(
    //"sEcho" => intval($_GET['sEcho']),
    "sEcho" => intval($_GET['sEcho']),
    "iTotalRecords" => $iTotal,
    "iTotalDisplayRecords" => $iFilteredTotal,
    "aaData" => array()
);

while ($aRow = mysql_fetch_array($rResult)) {
    $row = array();
    for ($i = 0; $i < count($aColumns); $i++) {
        if ($aColumns[$i] == "version") {
            /* Special output formatting for 'version' column */
            $row[] = ($aRow[$aColumns[$i]] == "0") ? '-' : $aRow[$aColumns[$i]];
        } elseif ($aColumns[$i] === "vouchno") {

            $row[] = "<a href=\"invoice.php?ORDERID=" . $aRow[$aColumns[$i]] . "\" target=\"_blank\" title=\"View Invoice: " . $aRow[$aColumns[$i]] . "\">" . $aRow[$aColumns[$i]] . "</a><a href=\"invoice.php?action=delete&ORDERID=" . $aRow[$aColumns[$i]] . "\"onClick=\"return confirm('Are you sure you want to delete?')\"><img border=\"0\" src=\"../images/icons/trash-can-delete.png\" width=\"16\" height=\"16\"></a>";
        } else if ($aColumns[$i] != ' ') {
            /* General output */
            $row[] = $aRow[$aColumns[$i]];
        }
    }
    $output['aaData'][] = $row;
}

echo json_encode($output);
?>

Answer 1

尝试从他们的数据表网站上考虑Datatable Server Side Processing示例 。

Answer 2

If you using this jQuery plugin , you would want to look at this .

instead of using a file you create a php file what output a json:

header('Content-type: application/json');

$result = mysql_query("SELECT `vouchno`, grno, brno, `name`, `address`, `city`, `pin`, mobile FROM mdb") or die(mysql_error());
$response = array();
// mysql_fetch_assoc is faster the mysql_fetch_array
while ($row = mysql_fetch_assoc($result)) {
     $response [] = $row;
}

echo json_encode($response);

And of course you need to discover the rest your self.