DataTables allows ordering by multiple columns at the same time, which can be activated in a number of different ways:
columns.orderDataDT
option.columns.orderDataDT
option to
specify a multiple column order by default (for example [ [0,'asc'], [1,'asc']
]
).order()DT
API method.Note that, the ability for the user to shift click to order multiple columns can be disabled through
the orderMultiDT
option.
The example below shows the first column having a secondary order applied to the second column in the table, vice-versa for the second column being tied directly to the first and the salary column to the first name column.
First name | Last name | Position | Office | Salary |
---|---|---|---|---|
Airi | Satou | Accountant | Tokyo | $162,700 |
Angelica | Ramos | Chief Executive Officer (CEO) | London | $1,200,000 |
Ashton | Cox | Junior Technical Author | San Francisco | $86,000 |
Bradley | Greer | Software Engineer | London | $132,000 |
Brenden | Wagner | Software Engineer | San Francisco | $206,850 |
Brielle | Williamson | Integration Specialist | New York | $372,000 |
Bruno | Nash | Software Engineer | London | $163,500 |
Caesar | Vance | Pre-Sales Support | New York | $106,450 |
Cara | Stevens | Sales Assistant | New York | $145,600 |
Cedric | Kelly | Senior Javascript Developer | Edinburgh | $433,060 |
The Javascript shown below is used to initialise the table shown in this example:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | $(document).ready(function() { $('#example').dataTable( { columnDefs: [ { targets: [ 0 ], orderData: [ 0, 1 ] }, { targets: [ 1 ], orderData: [ 1, 0 ] }, { targets: [ 4 ], orderData: [ 4, 0 ] } ] } ); } ); |
In addition to the above code, the following Javascript library files are loaded for use in this example:
The HTML shown below is the raw HTML table element, before it has been enhanced by DataTables:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 | <table id="example" class="display" cellspacing="0" width="100%"> <thead> <tr> <th>First name</th> <th>Last name</th> <th>Position</th> <th>Office</th> <th>Salary</th> </tr> </thead> <tbody> <tr> <td>Tiger</td> <td>Nixon</td> <td>System Architect</td> <td>Edinburgh</td> <td>$320,800</td> </tr> <tr> <td>Garrett</td> <td>Winters</td> <td>Accountant</td> <td>Tokyo</td> <td>$170,750</td> </tr> <tr> <td>Ashton</td> <td>Cox</td> <td>Junior Technical Author</td> <td>San Francisco</td> <td>$86,000</td> </tr> <tr> <td>Cedric</td> <td>Kelly</td> <td>Senior Javascript Developer</td> <td>Edinburgh</td> <td>$433,060</td> </tr> <tr> <td>Airi</td> <td>Satou</td> <td>Accountant</td> <td>Tokyo</td> <td>$162,700</td> </tr> <tr> <td>Brielle</td> <td>Williamson</td> <td>Integration Specialist</td> <td>New York</td> <td>$372,000</td> </tr> <tr> <td>Herrod</td> <td>Chandler</td> <td>Sales Assistant</td> <td>San Francisco</td> <td>$137,500</td> </tr> <tr> <td>Rhona</td> <td>Davidson</td> <td>Integration Specialist</td> <td>Tokyo</td> <td>$327,900</td> </tr> <tr> <td>Colleen</td> <td>Hurst</td> <td>Javascript Developer</td> <td>San Francisco</td> <td>$205,500</td> </tr> <tr> <td>Sonya</td> <td>Frost</td> <td>Software Engineer</td> <td>Edinburgh</td> <td>$103,600</td> </tr> <tr> <td>Jena</td> <td>Gaines</td> <td>Office Manager</td> <td>London</td> <td>$90,560</td> </tr> <tr> <td>Quinn</td> <td>Flynn</td> <td>Support Lead</td> <td>Edinburgh</td> <td>$342,000</td> </tr> <tr> <td>Charde</td> <td>Marshall</td> <td>Regional Director</td> <td>San Francisco</td> <td>$470,600</td> </tr> <tr> <td>Haley</td> <td>Kennedy</td> <td>Senior Marketing Designer</td> <td>London</td> <td>$313,500</td> </tr> <tr> <td>Tatyana</td> <td>Fitzpatrick</td> <td>Regional Director</td> <td>London</td> <td>$385,750</td> </tr> <tr> <td>Michael</td> <td>Silva</td> <td>Marketing Designer</td> <td>London</td> <td>$198,500</td> </tr> <tr> <td>Paul</td> <td>Byrd</td> <td>Chief Financial Officer (CFO)</td> <td>New York</td> <td>$725,000</td> </tr> <tr> <td>Gloria</td> <td>Little</td> <td>Systems Administrator</td> <td>New York</td> <td>$237,500</td> </tr> <tr> <td>Bradley</td> <td>Greer</td> <td>Software Engineer</td> <td>London</td> <td>$132,000</td> </tr> <tr> <td>Dai</td> <td>Rios</td> <td>Personnel Lead</td> <td>Edinburgh</td> <td>$217,500</td> </tr> <tr> <td>Jenette</td> <td>Caldwell</td> <td>Development Lead</td> <td>New York</td> <td>$345,000</td> </tr> <tr> <td>Yuri</td> <td>Berry</td> <td>Chief Marketing Officer (CMO)</td> <td>New York</td> <td>$675,000</td> </tr> <tr> <td>Caesar</td> <td>Vance</td> <td>Pre-Sales Support</td> <td>New York</td> <td>$106,450</td> </tr> <tr> <td>Doris</td> <td>Wilder</td> <td>Sales Assistant</td> <td>Sidney</td> <td>$85,600</td> </tr> <tr> <td>Angelica</td> <td>Ramos</td> <td>Chief Executive Officer (CEO)</td> <td>London</td> <td>$1,200,000</td> </tr> <tr> <td>Gavin</td> <td>Joyce</td> <td>Developer</td> <td>Edinburgh</td> <td>$92,575</td> </tr> <tr> <td>Jennifer</td> <td>Chang</td> <td>Regional Director</td> <td>Singapore</td> <td>$357,650</td> </tr> <tr> <td>Brenden</td> <td>Wagner</td> <td>Software Engineer</td> <td>San Francisco</td> <td>$206,850</td> </tr> <tr> <td>Fiona</td> <td>Green</td> <td>Chief Operating Officer (COO)</td> <td>San Francisco</td> <td>$850,000</td> </tr> <tr> <td>Shou</td> <td>Itou</td> <td>Regional Marketing</td> <td>Tokyo</td> <td>$163,000</td> </tr> <tr> <td>Michelle</td> <td>House</td> <td>Integration Specialist</td> <td>Sidney</td> <td>$95,400</td> </tr> <tr> <td>Suki</td> <td>Burks</td> <td>Developer</td> <td>London</td> <td>$114,500</td> </tr> <tr> <td>Prescott</td> <td>Bartlett</td> <td>Technical Author</td> <td>London</td> <td>$145,000</td> </tr> <tr> <td>Gavin</td> <td>Cortez</td> <td>Team Leader</td> <td>San Francisco</td> <td>$235,500</td> </tr> <tr> <td>Martena</td> <td>Mccray</td> <td>Post-Sales support</td> <td>Edinburgh</td> <td>$324,050</td> </tr> <tr> <td>Unity</td> <td>Butler</td> <td>Marketing Designer</td> <td>San Francisco</td> <td>$85,675</td> </tr> <tr> <td>Howard</td> <td>Hatfield</td> <td>Office Manager</td> <td>San Francisco</td> <td>$164,500</td> </tr> <tr> <td>Hope</td> <td>Fuentes</td> <td>Secretary</td> <td>San Francisco</td> <td>$109,850</td> </tr> <tr> <td>Vivian</td> <td>Harrell</td> <td>Financial Controller</td> <td>San Francisco</td> <td>$452,500</td> </tr> <tr> <td>Timothy</td> <td>Mooney</td> <td>Office Manager</td> <td>London</td> <td>$136,200</td> </tr> <tr> <td>Jackson</td> <td>Bradshaw</td> <td>Director</td> <td>New York</td> <td>$645,750</td> </tr> <tr> <td>Olivia</td> <td>Liang</td> <td>Support Engineer</td> <td>Singapore</td> <td>$234,500</td> </tr> <tr> <td>Bruno</td> <td>Nash</td> <td>Software Engineer</td> <td>London</td> <td>$163,500</td> </tr> <tr> <td>Sakura</td> <td>Yamamoto</td> <td>Support Engineer</td> <td>Tokyo</td> <td>$139,575</td> </tr> <tr> <td>Thor</td> <td>Walton</td> <td>Developer</td> <td>New York</td> <td>$98,540</td> </tr> <tr> <td>Finn</td> <td>Camacho</td> <td>Support Engineer</td> <td>San Francisco</td> <td>$87,500</td> </tr> <tr> <td>Serge</td> <td>Baldwin</td> <td>Data Coordinator</td> <td>Singapore</td> <td>$138,575</td> </tr> <tr> <td>Zenaida</td> <td>Frank</td> <td>Software Engineer</td> <td>New York</td> <td>$125,250</td> </tr> <tr> <td>Zorita</td> <td>Serrano</td> <td>Software Engineer</td> <td>San Francisco</td> <td>$115,000</td> </tr> <tr> <td>Jennifer</td> <td>Acosta</td> <td>Junior Javascript Developer</td> <td>Edinburgh</td> <td>$75,650</td> </tr> <tr> <td>Cara</td> <td>Stevens</td> <td>Sales Assistant</td> <td>New York</td> <td>$145,600</td> </tr> <tr> <td>Hermione</td> <td>Butler</td> <td>Regional Director</td> <td>London</td> <td>$356,250</td> </tr> <tr> <td>Lael</td> <td>Greer</td> <td>Systems Administrator</td> <td>London</td> <td>$103,500</td> </tr> <tr> <td>Jonas</td> <td>Alexander</td> <td>Developer</td> <td>San Francisco</td> <td>$86,500</td> </tr> <tr> <td>Shad</td> <td>Decker</td> <td>Regional Director</td> <td>Edinburgh</td> <td>$183,000</td> </tr> <tr> <td>Michael</td> <td>Bruce</td> <td>Javascript Developer</td> <td>Singapore</td> <td>$183,000</td> </tr> <tr> <td>Donna</td> <td>Snider</td> <td>Customer Support</td> <td>New York</td> <td>$112,000</td> </tr> </tbody> </table> |
This example uses a little bit of additional CSS beyond what is loaded from the library files (below), in order to correctly display the table. The additional CSS used is shown below:
1 |
The following CSS library files are loaded for use in this example to provide the styling of the table:
This table loads data by Ajax. The latest data that has been loaded is shown below. This data will update automatically as any additional data is loaded.
The script used to perform the server-side processing for this table is shown below. Please note that this is just an example script using PHP. Server-side processing scripts can be written in any language, using the protocol described in the DataTables documentation.
Please refer to the DataTables documentation for full
information about its API properties and methods.
Additionally, there are a wide range of extras and
plug-ins which extend the capabilities of
DataTables.
DataTables designed and created by SpryMedia Ltd © 2007-2014
DataTables is licensed under the MIT license.