DataTables detail server processing pdo

Ce tableau offre la possibilité d'avoir les détails d'un enregistrements par l'ouverture grâce à une icône, ces détails s'affiche sous l'enregistrement ouvert.
Ainsi, si une table comporte plusieurs champs, il est possible de n'afficher que les champs nécessaires et de mettre les autres en détails, on peut également ajouter une anotation, des images, des liens etc.

Ce type d'applications comporte 3 pages, dont une page principale, une page appellée en Ajax, et une page contenant une classe avec des requêtes en PDO.

Introduction

Pour comprendre le fonctionnement des scripts qui vont suivre, nous allons pour l'exemple prendre comme modèle cette table et son contenu.
Car comme vous pouvez le remarquer les noms de champs sont en majuscules, ce qui permet au premier coup d'oeil de voir dans les scripts qui vont suivre de faire la différence entre les noms des colonnes du tableau et les noms des colonnes de la table.

CREATE TABLE IF NOT EXISTS `employes` (
  `ID` int(11) NOT NULL,
  `MAT` int(3) DEFAULT NULL,
  `NOM` varchar(50) CHARACTER SET latin1 COLLATE latin1_general_ci DEFAULT NULL,
  `SRV` varchar(3) CHARACTER SET latin1 COLLATE latin1_general_ci DEFAULT NULL,
  `POSTE` varchar(50) CHARACTER SET latin1 COLLATE latin1_general_ci DEFAULT NULL,
  `DAT` date DEFAULT '0000-00-00',
  `MEMBRE` char(3) CHARACTER SET latin1 COLLATE latin1_general_ci NOT NULL,
  `listingid` int(11) NOT NULL
) ENGINE=MyISAM AUTO_INCREMENT=26 DEFAULT CHARSET=latin1;

--
-- Contenu de la table `employes`
--

INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(1, 200, 'DAVID', 'D11', 'PROGRAMMEUR', '2014-06-27', 'oui', 3);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(2, 180, 'MARILYNE', 'D11', 'PROGRAMMEUR', '2014-06-27', 'non', 4);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(3, 60, 'IRENE', 'D11', 'CHEF SERVICE', '2014-05-12', 'oui', 5);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(4, 320, 'RAIMON', 'D01', 'CONCEPTEUR', '2014-05-12', 'non', 6);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(5, 330, 'AUGUSTE', 'D01', 'CONCEPTEUR', '2014-03-21', 'oui', 7);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(6, 340, 'ROGER', 'D01', 'CONCEPTEUR', '2014-03-21', 'non', 8);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(7, 140, 'CLAUDE', 'C01', 'ANALYSTE', '2014-01-14', 'oui', 9);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(8, 130, 'DOLORES', 'C01', 'ANALYSTE', '2014-01-14', 'non', 10);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(9, 30, 'JEANNE', 'C01', 'CHEF SERVICE', '2014-11-22', 'non', 2);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(10, 20, 'MICHEL', 'B01', 'CHEF SERVICE', '2014-11-22', 'non', 11);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(11, 120, 'JEAN', 'A00', 'COMPTABLE', '2014-09-27', 'oui', 12);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(12, 10, 'CHRISTIAN', 'A00', 'DIR, GENERAL', '2014-09-27', 'oui', 13);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(13, 250, 'DANIELE', 'D21', 'PROGRAMMEUR', '2014-04-23', 'oui', 14);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(14, 260, 'SVLVIE', 'D21', 'PROGRAMMEUR', '2014-04-23', 'oui', 15);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(15, 270, 'MARIE', 'D21', 'PROGRAMMEUR', '2014-07-13', 'oui', 16);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(16, 50, 'GEORGES', 'E01', 'CHEF SERVICE', '2014-10-10', 'oui', 17);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(17, 90, 'HELENE', 'E11', 'CHEF SERVICE', '2012-11-06', 'oui', 18);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(18, 280, 'ANNE', 'E11', 'OPERATEURICE', '2012-06-05', 'oui', 19);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(19, 290, 'HENRI', 'E11', 'OPERATEUR', '2007-06-20', 'oui', 20);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(20, 300, 'PHILIPPE', 'E11', 'OPERATEUR', '2012-11-07', 'oui', 21);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(21, 310, 'MAUDE', 'E11', 'OPERATEUR', '2014-01-31', 'non', 22);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(22, 6, 'MACLEOD', 'A03', 'DEVELOPPEUR', '2013-12-31', 'non', 23);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(23, 500, 'MACMICRO', 'A01', 'DEVELOPPEUR', '2014-08-20', 'non', 1);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(24, 110, 'VINCENT', 'A00', 'DIR. ADJOINT', '2014-08-20', 'non', 25);
INSERT INTO `employes` (`ID`, `MAT`, `NOM`, `SRV`, `POSTE`, `DAT`, `MEMBRE`, `listingid`) VALUES(25, 100, 'THEODORE', 'D01', 'CHEF SERVICE', '2014-08-20', 'non', 24);

Création de la page principale

Cette page contiendra les scripts suivants :

Appel des fichiers dans la section HEAD

<link href="http://ajax.googleapis.com/ajax/libs/jqueryui/1.11.3/themes/smoothness/jquery-ui.css" rel="stylesheet">
<link rel="stylesheet" type="text/css" href="https://cdn.datatables.net/1.10.10/css/dataTables.jqueryui.min.css">

<script type="text/javascript" language="javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js"></script>
<script type="text/javascript" language="javascript" src="http://ajax.googleapis.com/ajax/libs/jqueryui/1.11.3/jquery-ui.min.js"></script>
<script type="text/javascript" language="javascript" src="https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js"></script>
<script type="text/javascript" language="javascript" src="https://cdn.datatables.net/1.10.10/js/dataTables.jqueryui.min.js"></script>

Style CSS pour l'affichage des icônes

En dessous de l'appel des fichiers insérer le code CSS, pour vous les procurer, rendez-vous sur le site Datatables, dans la rubrique Download, et télécharger la dernière version, les images se trouve dans le dossier (ressources), ainsi que les pages que nous verrons plus tard, de même que les démos.

<style type="text/css" class="init">
td.details-control {
  background: url('images/details_open.png') no-repeat center center;
  cursor: pointer;
}
tr.details td.details-control {
  background: url('images/details_close.png') no-repeat center center;
}
</style>

Structure du tableau

Comme nous utilisons Server Side Processing, le tableau est composé ainsi. Dans la partie (thead) et (tfoot) il est obligatoire d'avoir une ligne vide, car elles servent à insérer les icônes d'ouverture et de fermeture de la ligne d'enregistrement.

<div style="width:50%; margin: 0 auto 0 auto;">
    <div id="loader"></div>
    <table width="100%" cellspacing="0" class="display" id="menuTable">
        <thead>
            <tr>
            <th></th>
            <th>Matricule</th>
            <th>Nom</th>
            <th>Service</th>
            <th>Poste</th>
            </tr>
       </thead>
        <tfoot>
            <tr>
            <th></th>
            <th>Matricule</th>
            <th>Nom</th>
            <th>Service</th>
            <th>Poste</th>
           </tr>
       </tfoot>
    </table>
<div class="espacement6"></div>
</div>

Script JavaScript

Le script ci-dessous est assez parlant, notamment par les noms des colonnes de la table MySQL.

      <script type="text/javascript" class="init">
       function format ( d ) {
          return 'Nom Employé: '+d.NOM+'<br>'+
                 'Date: '+d.DAT+'<br>'+
                 'Membre: '+d.MEMBRE+'<br>'+
                 'Ci-dessous on peut éditer ou supprimer le membre.'+'<br>'+
                 '<a href="#"><div class="ui-state-default ui-corner-all li"><span class="ui-icon ui-icon-pencil"></span></div></a> <a href="#"><div class="ui-state-default ui-corner-all li"><span class="ui-icon ui-icon-trash"></span></div></a>';
      }
       
      $(document).ready(function() {
          $("div#loader").append('<center><img src="images/loading.gif" alt="chargement..."/></center>');
          var dt = $('#menuTable').DataTable( {
              "processing": true,
              "serverSide": true,
              "ajax": "ids-objects.php",
              "language": { "url": "https://cdn.datatables.net/plug-ins/1.10.10/i18n/French.json"},
              "fnDrawCallback": function() {
                  $(this).show();
                  $('div#loader').hide();
                  $(this).show().css('width', '100%');
              },
      
              "columns": [
                  {
                      "class":          "details-control",
                      "orderable":      false,
                      "data":           null,
                      "defaultContent": ""
                  },
                  { "data": "MAT" },
                  { "data": "NOM" },
                  { "data": "SRV" },
                  { "data": "POSTE" }
              ],
              "order": [[1, 'asc']]
          } );
       
          // Array to track the ids of the details displayed rows
          var detailRows = [];
       
          $('#menuTable tbody').on( 'click', 'tr td.details-control', function () {
              var tr = $(this).closest('tr');
              var row = dt.row( tr );
              var idx = $.inArray( tr.attr('id'), detailRows );
       
              if ( row.child.isShown() ) {
                  tr.removeClass( 'details' );
                  row.child.hide();
       
                  // Remove from the 'open' array
                  detailRows.splice( idx, 1 );
              }
              else {
                  tr.addClass( 'details' );
                  row.child( format( row.data() ) ).show();
       
                  // Add to the 'open' array
                  if ( idx === -1 ) {
                      detailRows.push( tr.attr('id') );
                  }
              }
          } );
       
          // On each draw, loop over the `detailRows` array and show any child rows
          dt.on( 'draw', function () {
              $.each( detailRows, function ( i, id ) {
                  $('#'+id+' td.details-control').trigger( 'click' );
              } );
          } );
          
      } );
      </script>

Code de la page (ids-objects.php)

Voici le code de cette page, je vous rappelle que vous avez cette page si vous avez téléchargé le package complet sur le site, cette page a été modifiée, par rapport à la table vu plus haut.

      <?php
      /*
       * DataTables example server-side processing script.
       *
       * Please note that this script is intentionally extremely simply to show how
       * server-side processing can be implemented, and probably shouldn't be used as
       * the basis for a large complex system. It is suitable for simple use cases as
       * for learning.
       *
       * See http://datatables.net/usage/server-side for full details on the server-
       * side processing requirements of DataTables.
       *
       * @license MIT - http://datatables.net/license_mit
       */
      
      /* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
       * Easy set variables
       */
      
      // DB table to use
      $table = 'employes';
      
      // Table's primary key
      $primaryKey = 'ID';
      
      // Array of database columns which should be read and sent back to DataTables.
      // The `db` parameter represents the column name in the database, while the `dt`
      // parameter represents the DataTables column identifier - in this case object
      // parameter names
      $columns = array(
          array(
              'db' => 'ID',
              'dt' => 'DT_RowId',
              'formatter' => function( $d, $row ) {
                  // Technically a DOM id cannot start with an integer, so we prefix
                  // a string. This can also be useful if you have multiple tables
                  // to ensure that the id is unique with a different prefix
                  return 'row_'.$d;
              }
          ),
          array( 'db' => 'MAT', 'dt' => 'MAT' ),
          array( 'db' => 'NOM',  'dt' => 'NOM' ),
          array( 'db' => 'SRV',   'dt' => 'SRV' ),
          array( 'db' => 'POSTE',     'dt' => 'POSTE' ),
          array(
              'db'        => 'DAT',
              'dt'        => 'DAT',
              'formatter' => function( $d, $row ) {
                  //return date( 'jS M y', strtotime($d));
                  return date( 'd m Y', strtotime($d));
              }
          ),
          array( 'db' => 'MEMBRE', 'dt' => 'MEMBRE')
      );
      // A remplir avec vos identifiants locaux ou en ligne.
      $sql_details = array(
          'user' => '',
          'pass' => '',
          'db'   => '',
          'host' => ''
      );
      
      
      /* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
       * If you just want to use the basic configuration for DataTables with PHP
       * server-side, there is no need to edit below this line.
       */
      
      require( 'ssp.class.php' );
      
      echo json_encode(
          SSP::simple( $_GET, $sql_details, $table, $primaryKey, $columns )
      );
      
      ?>

Code de la page (spp.class.php)

Cette classe PHP est appellée par le script ci-dessus, je vous rappelle aussi que vous avez cette page dans le package de Datatables. Vous y avez toutes les instructions et les commentaires originaux.
Si vous n'êtes pas anglophones, google traduction est votre amis.

      <?php
      /*
       * Helper functions for building a DataTables server-side processing SQL query
       *
       * The static functions in this class are just helper functions to help build
       * the SQL used in the DataTables demo server-side processing scripts. These
       * functions obviously do not represent all that can be done with server-side
       * processing, they are intentionally simple to show how it works. More complex
       * server-side processing operations will likely require a custom script.
       *
       * See http://datatables.net/usage/server-side for full details on the server-
       * side processing requirements of DataTables.
       *
       * @license MIT - http://datatables.net/license_mit
       */
      
      
      // REMOVE THIS BLOCK - used for DataTables test environment only!
      /*$file = $_SERVER['DOCUMENT_ROOT'].'/datatables/mysql.php';
      if ( is_file( $file ) ) {
          include( $file );
      }
      */
      
      class SSP {
          /**
           * Create the data output array for the DataTables rows
           *
           *  @param  array $columns Column information array
           *  @param  array $data    Data from the SQL get
           *  @return array          Formatted data in a row based format
           */
          static function data_output ( $columns, $data )
          {
              $out = array();
      
              for ( $i=0, $ien=count($data) ; $i<$ien ; $i++ ) {
                  $row = array();
      
                  for ( $j=0, $jen=count($columns) ; $j<$jen ; $j++ ) {
                      $column = $columns[$j];
      
                      // Is there a formatter?
                      if ( isset( $column['formatter'] ) ) {
                          $row[ $column['dt'] ] = $column['formatter']( $data[$i][ $column['db'] ], $data[$i] );
                      }
                      else {
                          $row[ $column['dt'] ] = $data[$i][ $columns[$j]['db'] ];
                      }
                  }
      
                  $out[] = $row;
              }
      
              return $out;
          }
      
      
          /**
           * Database connection
           *
           * Obtain an PHP PDO connection from a connection details array
           *
           *  @param  array $conn SQL connection details. The array should have
           *    the following properties
           *     * host - host name
           *     * db   - database name
           *     * user - user name
           *     * pass - user password
           *  @return resource PDO connection
           */
          static function db ( $conn )
          {
              if ( is_array( $conn ) ) {
                  return self::sql_connect( $conn );
              }
      
              return $conn;
          }
      
      
          /**
           * Paging
           *
           * Construct the LIMIT clause for server-side processing SQL query
           *
           *  @param  array $request Data sent to server by DataTables
           *  @param  array $columns Column information array
           *  @return string SQL limit clause
           */
          static function limit ( $request, $columns )
          {
              $limit = '';
      
              if ( isset($request['start']) && $request['length'] != -1 ) {
                  $limit = "LIMIT ".intval($request['start']).", ".intval($request['length']);
              }
      
              return $limit;
          }
      
      
          /**
           * Ordering
           *
           * Construct the ORDER BY clause for server-side processing SQL query
           *
           *  @param  array $request Data sent to server by DataTables
           *  @param  array $columns Column information array
           *  @return string SQL order by clause
           */
          static function order ( $request, $columns )
          {
              $order = '';
      
              if ( isset($request['order']) && count($request['order']) ) {
                  $orderBy = array();
                  $dtColumns = self::pluck( $columns, 'dt' );
      
                  for ( $i=0, $ien=count($request['order']) ; $i<$ien ; $i++ ) {
                      // Convert the column index into the column data property
                      $columnIdx = intval($request['order'][$i]['column']);
                      $requestColumn = $request['columns'][$columnIdx];
      
                      $columnIdx = array_search( $requestColumn['data'], $dtColumns );
                      $column = $columns[ $columnIdx ];
      
                      if ( $requestColumn['orderable'] == 'true' ) {
                          $dir = $request['order'][$i]['dir'] === 'asc' ?
                              'ASC' :
                              'DESC';
      
                          $orderBy[] = '`'.$column['db'].'` '.$dir;
                      }
                  }
      
                  $order = 'ORDER BY '.implode(', ', $orderBy);
              }
      
              return $order;
          }
      
      
          /**
           * Searching / Filtering
           *
           * Construct the WHERE clause for server-side processing SQL query.
           *
           * 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 performance on large
           * databases would be very poor
           *
           *  @param  array $request Data sent to server by DataTables
           *  @param  array $columns Column information array
           *  @param  array $bindings Array of values for PDO bindings, used in the
           *    sql_exec() function
           *  @return string SQL where clause
           */
          static function filter ( $request, $columns, &$bindings )
          {
              $globalSearch = array();
              $columnSearch = array();
              $dtColumns = self::pluck( $columns, 'dt' );
      
              if ( isset($request['search']) && $request['search']['value'] != '' ) {
                  $str = $request['search']['value'];
      
                  for ( $i=0, $ien=count($request['columns']) ; $i<$ien ; $i++ ) {
                      $requestColumn = $request['columns'][$i];
                      $columnIdx = array_search( $requestColumn['data'], $dtColumns );
                      $column = $columns[ $columnIdx ];
      
                      if ( $requestColumn['searchable'] == 'true' ) {
                          $binding = self::bind( $bindings, '%'.$str.'%', PDO::PARAM_STR );
                          $globalSearch[] = "`".$column['db']."` LIKE ".$binding;
                      }
                  }
              }
      
              // Individual column filtering
              if ( isset( $request['columns'] ) ) {
                  for ( $i=0, $ien=count($request['columns']) ; $i<$ien ; $i++ ) {
                      $requestColumn = $request['columns'][$i];
                      $columnIdx = array_search( $requestColumn['data'], $dtColumns );
                      $column = $columns[ $columnIdx ];
      
                      $str = $requestColumn['search']['value'];
      
                      if ( $requestColumn['searchable'] == 'true' &&
                       $str != '' ) {
                          $binding = self::bind( $bindings, '%'.$str.'%', PDO::PARAM_STR );
                          $columnSearch[] = "`".$column['db']."` LIKE ".$binding;
                      }
                  }
              }
      
              // Combine the filters into a single string
              $where = '';
      
              if ( count( $globalSearch ) ) {
                  $where = '('.implode(' OR ', $globalSearch).')';
              }
      
              if ( count( $columnSearch ) ) {
                  $where = $where === '' ?
                      implode(' AND ', $columnSearch) :
                      $where .' AND '. implode(' AND ', $columnSearch);
              }
      
              if ( $where !== '' ) {
                  $where = 'WHERE '.$where;
              }
      
              return $where;
          }
      
      
          /**
           * Perform the SQL queries needed for an server-side processing requested,
           * utilising the helper functions of this class, limit(), order() and
           * filter() among others. The returned array is ready to be encoded as JSON
           * in response to an SSP request, or can be modified if needed before
           * sending back to the client.
           *
           *  @param  array $request Data sent to server by DataTables
           *  @param  array|PDO $conn PDO connection resource or connection parameters array
           *  @param  string $table SQL table to query
           *  @param  string $primaryKey Primary key of the table
           *  @param  array $columns Column information array
           *  @return array          Server-side processing response array
           */
          static function simple ( $request, $conn, $table, $primaryKey, $columns )
          {
              $bindings = array();
              $db = self::db( $conn );
      
              // Build the SQL query string from the request
              $limit = self::limit( $request, $columns );
              $order = self::order( $request, $columns );
              $where = self::filter( $request, $columns, $bindings );
      
              // Main query to actually get the data
              $data = self::sql_exec( $db, $bindings,
                  "SELECT SQL_CALC_FOUND_ROWS `".implode("`, `", self::pluck($columns, 'db'))."`
                   FROM `$table`
                   $where
                   $order
                   $limit"
              );
      
              // Data set length after filtering
              $resFilterLength = self::sql_exec( $db,
                  "SELECT FOUND_ROWS()"
              );
              $recordsFiltered = $resFilterLength[0][0];
      
              // Total data set length
              $resTotalLength = self::sql_exec( $db,
                  "SELECT COUNT(`{$primaryKey}`)
                   FROM   `$table`"
              );
              $recordsTotal = $resTotalLength[0][0];
      
      
              /*
               * Output
               */
              return array(
                  "draw"            => isset ( $request['draw'] ) ?
                      intval( $request['draw'] ) :
                      0,
                  "recordsTotal"    => intval( $recordsTotal ),
                  "recordsFiltered" => intval( $recordsFiltered ),
                  "data"            => self::data_output( $columns, $data )
              );
          }
      
      
          /**
           * The difference between this method and the `simple` one, is that you can
           * apply additional `where` conditions to the SQL queries. These can be in
           * one of two forms:
           *
           * * 'Result condition' - This is applied to the result set, but not the
           *   overall paging information query - i.e. it will not effect the number
           *   of records that a user sees they can have access to. This should be
           *   used when you want apply a filtering condition that the user has sent.
           * * 'All condition' - This is applied to all queries that are made and
           *   reduces the number of records that the user can access. This should be
           *   used in conditions where you don't want the user to ever have access to
           *   particular records (for example, restricting by a login id).
           *
           *  @param  array $request Data sent to server by DataTables
           *  @param  array|PDO $conn PDO connection resource or connection parameters array
           *  @param  string $table SQL table to query
           *  @param  string $primaryKey Primary key of the table
           *  @param  array $columns Column information array
           *  @param  string $whereResult WHERE condition to apply to the result set
           *  @param  string $whereAll WHERE condition to apply to all queries
           *  @return array          Server-side processing response array
           */
          static function complex ( $request, $conn, $table, $primaryKey, $columns, $whereResult=null, $whereAll=null )
          {
              $bindings = array();
              $db = self::db( $conn );
              $localWhereResult = array();
              $localWhereAll = array();
              $whereAllSql = '';
      
              // Build the SQL query string from the request
              $limit = self::limit( $request, $columns );
              $order = self::order( $request, $columns );
              $where = self::filter( $request, $columns, $bindings );
      
              $whereResult = self::_flatten( $whereResult );
              $whereAll = self::_flatten( $whereAll );
      
              if ( $whereResult ) {
                  $where = $where ?
                      $where .' AND '.$whereResult :
                      'WHERE '.$whereResult;
              }
      
              if ( $whereAll ) {
                  $where = $where ?
                      $where .' AND '.$whereAll :
                      'WHERE '.$whereAll;
      
                  $whereAllSql = 'WHERE '.$whereAll;
              }
      
              // Main query to actually get the data
              $data = self::sql_exec( $db, $bindings,
                  "SELECT SQL_CALC_FOUND_ROWS `".implode("`, `", self::pluck($columns, 'db'))."`
                   FROM `$table`
                   $where
                   $order
                   $limit"
              );
      
              // Data set length after filtering
              $resFilterLength = self::sql_exec( $db,
                  "SELECT FOUND_ROWS()"
              );
              $recordsFiltered = $resFilterLength[0][0];
      
              // Total data set length
              $resTotalLength = self::sql_exec( $db, $bindings,
                  "SELECT COUNT(`{$primaryKey}`)
                   FROM   `$table` ".
                  $whereAllSql
              );
              $recordsTotal = $resTotalLength[0][0];
      
              /*
               * Output
               */
              return array(
                  "draw"            => isset ( $request['draw'] ) ?
                      intval( $request['draw'] ) :
                      0,
                  "recordsTotal"    => intval( $recordsTotal ),
                  "recordsFiltered" => intval( $recordsFiltered ),
                  "data"            => self::data_output( $columns, $data )
              );
          }
      
      
          /**
           * Connect to the database
           *
           * @param  array $sql_details SQL server connection details array, with the
           *   properties:
           *     * host - host name
           *     * db   - database name
           *     * user - user name
           *     * pass - user password
           * @return resource Database connection handle
           */
          static function sql_connect ( $sql_details )
          {
              try {
                  $db = @new PDO(
                      "mysql:host={$sql_details['host']};dbname={$sql_details['db']}",
                      $sql_details['user'],
                      $sql_details['pass'],
                      array( PDO::ATTR_ERRMODE => PDO::ERRMODE_EXCEPTION )
                  );
              }
              catch (PDOException $e) {
                  self::fatal(
                      "An error occurred while connecting to the database. ".
                      "The error reported by the server was: ".$e->getMessage()
                  );
              }
      
              return $db;
          }
      
      
          /**
           * Execute an SQL query on the database
           *
           * @param  resource $db  Database handler
           * @param  array    $bindings Array of PDO binding values from bind() to be
           *   used for safely escaping strings. Note that this can be given as the
           *   SQL query string if no bindings are required.
           * @param  string   $sql SQL query to execute.
           * @return array         Result from the query (all rows)
           */
          static function sql_exec ( $db, $bindings, $sql=null )
          {
              // Argument shifting
              if ( $sql === null ) {
                  $sql = $bindings;
              }
      
              $stmt = $db->prepare( $sql );
              //echo $sql;
      
              // Bind parameters
              if ( is_array( $bindings ) ) {
                  for ( $i=0, $ien=count($bindings) ; $i<$ien ; $i++ ) {
                      $binding = $bindings[$i];
                      $stmt->bindValue( $binding['key'], $binding['val'], $binding['type'] );
                  }
              }
      
              // Execute
              try {
                  $stmt->execute();
              }
              catch (PDOException $e) {
                  self::fatal( "An SQL error occurred: ".$e->getMessage() );
              }
      
              // Return all
              return $stmt->fetchAll();
          }
      
      
          /* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
           * Internal methods
           */
      
          /**
           * Throw a fatal error.
           *
           * This writes out an error message in a JSON string which DataTables will
           * see and show to the user in the browser.
           *
           * @param  string $msg Message to send to the client
           */
          static function fatal ( $msg )
          {
              echo json_encode( array( 
                  "error" => $msg
              ) );
      
              exit(0);
          }
      
          /**
           * Create a PDO binding key which can be used for escaping variables safely
           * when executing a query with sql_exec()
           *
           * @param  array &$a    Array of bindings
           * @param  *      $val  Value to bind
           * @param  int    $type PDO field type
           * @return string       Bound key to be used in the SQL where this parameter
           *   would be used.
           */
          static function bind ( &$a, $val, $type )
          {
              $key = ':binding_'.count( $a );
      
              $a[] = array(
                  'key' => $key,
                  'val' => $val,
                  'type' => $type
              );
      
              return $key;
          }
      
      
          /**
           * Pull a particular property from each assoc. array in a numeric array, 
           * returning and array of the property values from each item.
           *
           *  @param  array  $a    Array to get data from
           *  @param  string $prop Property to read
           *  @return array        Array of property values
           */
          static function pluck ( $a, $prop )
          {
              $out = array();
      
              for ( $i=0, $len=count($a) ; $i<$len ; $i++ ) {
                  $out[] = $a[$i][$prop];
              }
      
              return $out;
          }
      
      
          /**
           * Return a string from an array or a string
           *
           * @param  array|string $a Array to join
           * @param  string $join Glue for the concatenation
           * @return string Joined string
           */
          static function _flatten ( $a, $join = ' AND ' )
          {
              if ( ! $a ) {
                  return '';
              }
              else if ( $a && is_array($a) ) {
                  return implode( $join, $a );
              }
              return $a;
          }
      }

 

Conclusion

Voilà une application avec PDO, que vous pourrez adapter à vos propres tables MySQL, cette application a été réalisée avec PHP 5.5.12.

Bon dev.