数据表过滤器，搜索未运行mongodb php

Question

在此代码过滤器，搜索和分页不起作用我已经尝试过自己，但它没有工作，所以请检查代码给我任何解决方案或任何有关此查询的参考。甚至没有任何与此相关的代码文件或文档这将有助于我追求的理念

<?php 

mb_internal_encoding('UTF-8'); 

$database = 'test'; 
$collection = 'user'; 

/** 
* MongoDB connection 
*/ 
try{ 
     // Connecting to server 
     $m = new MongoClient(); 
    }catch(MongoConnectionException $connectionException){ 
     print $connectionException; 
     exit; 
    } 

$m_collection = $m->$database->$collection;  
$input = $fields = $totalRecords = $data = array(); 
$input = & $_REQUEST; 
$fields = array('id', 'name', 'email', 'gender,'); 

// Input method (use $_GET, $_POST or $_REQUEST) 


/** 
* Handle requested DataProps 
*/ 

// Number of columns being displayed (useful for getting individual column search info) 
$iColumns = & $input['iColumns']; 

// Get mDataProp values assigned for each table column 
$dataProps = array(); 
for ($i = 0; $i < $iColumns; $i++) { 
    $var = 'mDataProp_'.$i; 
    if (!empty($input[$var]) && $input[$var] != 'null') { 
     $dataProps[$i] = $input[$var]; 
    } 
} 

$searchTermsAny = array(); 
$searchTermsAll = array(); 

if (!empty($input['sSearch'])) { 
    $sSearch = $input['sSearch']; 

    for ($i=0 ; $i < $iColumns ; $i++) { 
     if ($input['bSearchable_'.$i] == 'true') { 
      if ($input['bRegex'] == 'true') { 
       $sRegex = str_replace('/', '\/', $sSearch); 
      } else { 
       $sRegex = preg_quote($sSearch, '/'); 
      } 
      $searchTermsAny[] = array(
       $dataProps[$i] => new MongoRegex('/'.$sRegex.'/i') 
      ); 
     } 
    } 
} 

// Individual column filtering 
for ($i=0 ; $i < $iColumns ; $i++) { 
    if ($input['bSearchable_'.$i] == 'true' && $input['sSearch_'.$i] != '') { 
     if ($input['bRegex_'.$i] == 'true') { 
      $sRegex = str_replace('/', '\/', $input['sSearch_'.$i]); 
     } else { 
      $sRegex = preg_quote($input['sSearch_'.$i], '/'); 
     } 
     $searchTermsAll[ $dataProps[$i] ] = new MongoRegex('/'.$sRegex.'/i'); 
    } 
} 

$searchTerms = $searchTermsAll; 
if (!empty($searchTermsAny)) { 
    $searchTerms['$or'] = $searchTermsAny; 
} 
$totalRecords =$m_collection->count(); 
$cursor = $m_collection->find($searchTerms, $fields); 

/** 
* Paging 
*/ 
if (isset($input['iDisplayStart']) && $input['iDisplayLength'] != '-1') { 
    $cursor->limit($input['iDisplayLength'])->skip($input['iDisplayStart']); 
} 

/** 
* Ordering 
*/ 
if (isset($input['iSortCol_0'])) { 
    $sort_fields = array(); 
    for ($i=0 ; $i<intval($input['iSortingCols']) ; $i++) { 
     if ($input[ 'bSortable_'.intval($input['iSortCol_'.$i]) ] == 'true') { 
      $field = $dataProps[ intval($input['iSortCol_'.$i]) ]; 
      $order = ($input['sSortDir_'.$i]=='desc' ? -1 : 1); 
      $sort_fields[$field] = $order; 
     } 
    } 
    $cursor->sort($sort_fields); 
} 


foreach ($cursor as $doc) 
{ $name = '<a href="profile.php?secure='.$doc['_id'].' " style = "color:red;">'.$doc['name'].'</a>'; 
    $data[] = array($name, $doc['email'], $doc['gender]); 
} 

/** 
* Output 
*/ 
$json_data = array( 
    "draw"=> intval($input['draw']), 
    "recordsTotal" =>intval ($totalRecords), 
    "recordsFiltered" => intval($totalRecords), 
    "data"   => $data 

);  

echo json_encode($json_data); 

---

And also i need to Join two tables as given below. 

表1

表2

Answer 1

我做它像：

$('#datatable_emp_details').dataTable({ 
    "sServerMethod": "POST", 
    "bProcessing": true, 
    "bServerSide": true, 
    "sAjaxSource": "get_data.php" 
}); 

get_data.php：

<?php 
$mongo  = new MongoClient(); 
$database = $mongo->selectDb('dbtest'); 
$collection = $database->selectCollection('empDetails'); 
$skip  = (int)$_REQUEST['iDisplayStart']; 
$limit  = (int)$_REQUEST['iDisplayLength']; 
$search  = $_REQUEST['sSearch']; 
$sortIndex = $_REQUEST['iSortCol_0']; 

$sortArray = array('emp_id', 'first_name', 'last_name', 'position', 'email', 'office', 'start_date', 'age', 'salary', 'projects' 
); 
$sortByCol = $sortArray[$sortIndex]; 
$sortTypeTxt= $_REQUEST['sSortDir_0']; // asc/desc 
$sortType = -1; 
if($sortTypeTxt == 'asc') 
{ 
    $sortType = 1; 
} 
if($search != '') 
{ 
    $condtion = array(
        '$or' => array(
         array('emp_id' => $search), 
         array('first_name'=> new MongoRegex('/'. $search .'/i')), // i for case insensitive 
         array('last_name' => new MongoRegex('/'. $search .'/i')), 
         array('position' => new MongoRegex('/'. $search .'/i')), 
         array('email'  => new MongoRegex('/'. $search .'/i')), 
         array('office' => new MongoRegex('/'. $search .'/i')), 
         array('start_date'=> new MongoRegex('/'. $search .'/i')), 
         array('age'  => new MongoRegex('/'. $search .'/i')), 
         array('salary' => new MongoRegex('/'. $search .'/i')), 
         array('projects' => new MongoRegex('/'. $search .'/i')) 
        ) 
       ); 
    $resultSet = $collection->find($condtion)->limit($limit)->skip($skip)->sort(array($sortByCol => $sortType)); 
} 
else 
{ 
    $resultSet = $collection->find()->limit($limit)->skip($skip)->sort(array($sortByCol => $sortType))->sort(array($sortByCol => $sortType)); 
} 
$data = array(); 
if(count($resultSet) > 0) 
{ 
    foreach ($resultSet as $document) 
    { 
     $data[] = $document; 
    } 
} 
$resultSet = $collection->find(); 
$iTotal  = count($resultSet); 
$rec = array(
    'iTotalRecords' => $iTotal, 
    'iTotalDisplayRecords' => $iTotal, 
    'aaData' => array() 
); 
$k=0; 
if (isset($data) && is_array($data)) { 
    foreach ($data as $item) { 
     $rec['aaData'][$k] = array(
      0 => $item['emp_id'], 
      1 => $item['first_name'], 
      2 => $item['last_name'], 
      3 => $item['position'], 
      4 => $item['email'], 
      5 => $item['office'], 
      6 => $item['start_date'], 
      7 => $item['age'], 
      8 => $item['salary'], 
      9 => $item['projects'], 
      10 => '<a href="javascript:void(0);" class="edit_emp" id="'. $item['emp_id'] .'">Edit</a> | <a href="javascript:void(0);" class="delete_emp" id="'. $item['emp_id'] .'">Delete</a>' 
     ); 
     $k++; 
    } 
} 
echo json_encode($rec); 
exit; 
?> 

Github repository link