jquerydatatablesdatatables-1.10

jQuery DataTable columns based on if condition


Can we do if condition for jQuery dataTables columns? Based on variable value, I want to decide which column to show / hide.

I tried to achieved this, by creating an object and pass it to the DataTable() function by extracting the columns using spread operator as below:

if (offer = "offer1") {
  const offerCols = {
    "columns": [
      {"data": "ioName", "class": "align-middle"},
      {"data": "salesPrice","class": "align-middle"},                    
      {"data": "offerPrice","class": "align-middle"},            
      {"data": "offerQty","class": "align-middle"}, 
    ],
  } 
} else {
  const offerCols = {
    "columns": [
      {"data": "ioName", "class": "align-middle"},
      {"data": "salesPrice","class": "align-middle"},                    
      {"data": "offerPrice","class": "align-middle"},            
      {"data": "offerQty","class": "align-middle"},           
      {"data": "validPeriod","class": "align-middle"}, 
    ], 
  }              
}              


var $table = $("#table").DataTable({  
  "ajax": '/view_offers.php',

  ...offerCols,

  "classes": {
    sLength: "text-left w-auto",
  }
})

But, this not works for me. How do I solve the below issue?


Solution

  • If you are looking for a conditional column for viewing data then the answer is YES. but I don't understand why spread operator.

    Below is the code of custom column rendering based on condition.

    var dataSet = [
        [ "Tiger Nixon", "System Architect", "Edinburgh", "5421", "2011/04/25", "$320,800" ],
        [ "Garrett Winters", "Accountant", "Tokyo", "8422", "2011/07/25", "$170,750" ],
        [ "Ashton Cox", "Junior Technical Author", "San Francisco", "1562", "2009/01/12", "$86,000" ],
        [ "Cedric Kelly", "Senior Javascript Developer", "Edinburgh", "6224", "2012/03/29", "$433,060" ],
        [ "Airi Satou", "Accountant", "Tokyo", "5407", "2008/11/28", "$162,700" ],
        [ "Brielle Williamson", "Integration Specialist", "New York", "4804", "2012/12/02", "$372,000" ],
        [ "Herrod Chandler", "Sales Assistant", "San Francisco", "9608", "2012/08/06", "$137,500" ],
        [ "Rhona Davidson", "Integration Specialist", "Tokyo", "6200", "2010/10/14", "$327,900" ],
        [ "Colleen Hurst", "Javascript Developer", "San Francisco", "2360", "2009/09/15", "$205,500" ],
        [ "Sonya Frost", "Software Engineer", "Edinburgh", "1667", "2008/12/13", "$103,600" ],
        [ "Jena Gaines", "Office Manager", "London", "3814", "2008/12/19", "$90,560" ],
        [ "Quinn Flynn", "Support Lead", "Edinburgh", "9497", "2013/03/03", "$342,000" ],
        [ "Charde Marshall", "Regional Director", "San Francisco", "6741", "2008/10/16", "$470,600" ],
        [ "Haley Kennedy", "Senior Marketing Designer", "London", "3597", "2012/12/18", "$313,500" ],
        [ "Tatyana Fitzpatrick", "Regional Director", "London", "1965", "2010/03/17", "$385,750" ],
        [ "Michael Silva", "Marketing Designer", "London", "1581", "2012/11/27", "$198,500" ],
        [ "Paul Byrd", "Chief Financial Officer (CFO)", "New York", "3059", "2010/06/09", "$725,000" ],
        [ "Gloria Little", "Systems Administrator", "New York", "1721", "2009/04/10", "$237,500" ],
        [ "Bradley Greer", "Software Engineer", "London", "2558", "2012/10/13", "$132,000" ],
        [ "Dai Rios", "Personnel Lead", "Edinburgh", "2290", "2012/09/26", "$217,500" ],
        [ "Jenette Caldwell", "Development Lead", "New York", "1937", "2011/09/03", "$345,000" ],
        [ "Yuri Berry", "Chief Marketing Officer (CMO)", "New York", "6154", "2009/06/25", "$675,000" ],
        [ "Caesar Vance", "Pre-Sales Support", "New York", "8330", "2011/12/12", "$106,450" ],
        [ "Doris Wilder", "Sales Assistant", "Sydney", "3023", "2010/09/20", "$85,600" ],
        [ "Angelica Ramos", "Chief Executive Officer (CEO)", "London", "5797", "2009/10/09", "$1,200,000" ],
        [ "Gavin Joyce", "Developer", "Edinburgh", "8822", "2010/12/22", "$92,575" ],
        [ "Jennifer Chang", "Regional Director", "Singapore", "9239", "2010/11/14", "$357,650" ],
        [ "Brenden Wagner", "Software Engineer", "San Francisco", "1314", "2011/06/07", "$206,850" ],
        [ "Fiona Green", "Chief Operating Officer (COO)", "San Francisco", "2947", "2010/03/11", "$850,000" ],
        [ "Shou Itou", "Regional Marketing", "Tokyo", "8899", "2011/08/14", "$163,000" ],
        [ "Michelle House", "Integration Specialist", "Sydney", "2769", "2011/06/02", "$95,400" ],
        [ "Suki Burks", "Developer", "London", "6832", "2009/10/22", "$114,500" ],
        [ "Prescott Bartlett", "Technical Author", "London", "3606", "2011/05/07", "$145,000" ],
        [ "Gavin Cortez", "Team Leader", "San Francisco", "2860", "2008/10/26", "$235,500" ],
        [ "Martena Mccray", "Post-Sales support", "Edinburgh", "8240", "2011/03/09", "$324,050" ],
        [ "Unity Butler", "Marketing Designer", "San Francisco", "5384", "2009/12/09", "$85,675" ]
    ];
    function getConditionalColumn(isAdmin){
      var columns= [];
      if(isAdmin){
        columns.push({ title: "Name" }) 
          columns.push({ title: "Position" }) 
          columns.push({ title: "Office" })
            columns.push({ title: "Extn" }) 
          columns.push({ title: "Start date" }) 
          columns.push({ title: "Salary" })
      }
      else{
           columns.push({ title: "Name" }) 
          columns.push({ title: "Position" }) 
          columns.push({ title: "Office" })
      }
      return columns;
    } 
     
    $(document).ready(function() {
        
        $('#example').DataTable( {
            data: dataSet,
            columns:getConditionalColumn(false)//toggle here to see conditional column , put true for admin view and false for user view
        });
    } );
    <link href="https://cdn.datatables.net/1.10.25/css/jquery.dataTables.min.css" rel="stylesheet"/>
    <script src="https://code.jquery.com/jquery-3.5.1.js"></script>
    <script src="https://cdn.datatables.net/1.10.25/js/jquery.dataTables.min.js"></script>
    <table id="example" class="display" width="100%"></table>