History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"recruited"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 373 | 2025-10-24 00:45:22 | recruited | 1 | 81242 | 2 | 1.516 | 53589.7 |
| 372 | 2025-10-23 08:15:22 | recruited | 3 | 148641 | 105 | 44.830 | 3315.7 |
| 371 | 2025-10-23 08:15:21 | recruited | 2 | 121436 | 11 | 22.876 | 5308.4 |
| 370 | 2025-10-23 08:14:59 | recruited | 3 | 148641 | 105 | 35.206 | 4222.0 |
| 369 | 2025-10-23 08:14:59 | recruited | 2 | 121436 | 11 | 18.483 | 6570.1 |
| 368 | 2025-10-23 08:14:32 | recruited | 3 | 148641 | 105 | 24.736 | 6009.1 |
| 367 | 2025-10-23 08:14:30 | recruited | 2 | 121436 | 11 | 20.236 | 6001.0 |
| 366 | 2025-10-23 08:14:11 | recruited | 3 | 148641 | 105 | 34.783 | 4273.4 |
| 365 | 2025-10-23 08:14:11 | recruited | 2 | 121436 | 11 | 18.360 | 6614.2 |
| 364 | 2025-10-23 03:17:45 | recruited | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 363 | 2025-10-17 18:16:43 | recruited | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 362 | 2025-10-16 08:15:55 | recruited | 1 | 81242 | 2 | 1.343 | 60492.9 |
| 361 | 2025-10-11 12:48:09 | recruited | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 360 | 2025-10-05 08:35:57 | recruited | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 359 | 2025-09-29 15:07:01 | recruited | 1 | 81242 | 2 | 1.330 | 61084.2 |
| 358 | 2025-09-26 03:50:32 | recruited | 3 | 148641 | 105 | 8.296 | 17917.2 |
| 357 | 2025-09-17 16:34:34 | recruited | 1 | 81242 | 2 | 2.983 | 27235.0 |
| 356 | 2025-09-10 11:51:19 | recruited | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 355 | 2025-09-08 17:00:52 | recruited | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 354 | 2025-09-05 06:39:47 | recruited | 1 | 81242 | 2 | 1.326 | 61268.5 |
| 353 | 2025-08-28 17:45:09 | recruited | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 352 | 2025-08-26 00:35:10 | recruited | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 351 | 2025-08-17 23:48:06 | recruited | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 350 | 2025-08-10 14:08:42 | recruited | 3 | 148641 | 105 | 16.906 | 8792.2 |
| 349 | 2025-08-10 02:56:42 | recruited | 2 | 121436 | 11 | 8.406 | 14446.3 |
| 348 | 2025-08-09 17:38:56 | recruited | 1 | 81242 | 2 | 5.080 | 15992.5 |
| 347 | 2025-08-09 16:17:07 | recruited | 1 | 81242 | 2 | 3.563 | 22801.6 |
| 346 | 2025-08-09 10:54:10 | recruited | 1 | 81242 | 2 | 6.360 | 12773.9 |
| 345 | 2025-08-05 14:13:19 | recruited | 1 | 81242 | 2 | 3.016 | 26937.0 |
| 344 | 2025-08-05 05:46:33 | recruited | 2 | 121436 | 11 | 8.593 | 14132.0 |
| 343 | 2025-08-04 02:17:55 | recruited | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 342 | 2025-07-25 01:07:32 | recruited | 1 | 81242 | 2 | 4.186 | 19408.0 |
| 341 | 2025-07-24 22:29:37 | recruited | 1 | 81242 | 2 | 6.046 | 13437.3 |
| 340 | 2025-07-23 08:11:50 | recruited | 1 | 81242 | 2 | 8.796 | 9236.2 |
| 339 | 2025-07-22 05:59:14 | recruited | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 338 | 2025-07-13 09:27:00 | recruited | 1 | 81242 | 2 | 3.736 | 21745.7 |
| 337 | 2025-07-08 10:48:11 | recruited | 3 | 148641 | 105 | 41.563 | 3576.3 |
| 336 | 2025-07-05 09:02:45 | recruited | 3 | 148641 | 105 | 62.940 | 2361.6 |
| 335 | 2025-07-05 05:03:34 | recruited | 2 | 121436 | 11 | 23.893 | 5082.5 |
| 334 | 2025-07-04 01:46:09 | recruited | 1 | 81242 | 2 | 8.266 | 9828.5 |
| 333 | 2025-07-02 12:57:59 | recruited | 1 | 81242 | 2 | 6.920 | 11740.2 |
| 332 | 2025-06-24 13:34:59 | recruited | 1 | 81242 | 2 | 10.923 | 7437.7 |
| 331 | 2025-06-23 08:48:40 | recruited | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 330 | 2025-06-21 05:56:52 | recruited | 1 | 81242 | 2 | 3.843 | 21140.3 |
| 329 | 2025-06-18 10:17:33 | recruited | 1 | 81242 | 2 | 9.043 | 8984.0 |
| 328 | 2025-06-16 11:16:16 | recruited | 2 | 121436 | 11 | 17.406 | 6976.7 |
| 327 | 2025-06-14 21:49:48 | recruited | 2 | 121436 | 11 | 3.843 | 31599.3 |
| 326 | 2025-06-11 13:09:37 | recruited | 1 | 81242 | 2 | 6.093 | 13333.7 |
| 325 | 2025-06-10 09:13:35 | recruited | 2 | 121436 | 11 | 27.280 | 4451.5 |
| 324 | 2025-06-10 08:31:26 | recruited | 1 | 81242 | 2 | 4.186 | 19408.0 |
| 323 | 2025-06-04 14:47:42 | recruited | 1 | 81242 | 2 | 7.610 | 10675.7 |
| 322 | 2025-05-31 07:27:59 | recruited | 3 | 148641 | 105 | 38.580 | 3852.8 |
| 321 | 2025-05-26 21:03:39 | recruited | 2 | 121436 | 11 | 10.830 | 11212.9 |
| 320 | 2025-05-26 20:50:55 | recruited | 3 | 148641 | 105 | 38.766 | 3834.3 |
| 319 | 2025-05-25 16:18:22 | recruited | 1 | 81242 | 2 | 1.513 | 53696.0 |
| 318 | 2025-05-24 09:04:17 | recruited | 3 | 148641 | 105 | 32.296 | 4602.5 |
| 317 | 2025-05-24 04:54:35 | recruited | 2 | 121436 | 11 | 9.343 | 12997.5 |
| 316 | 2025-05-23 01:46:56 | recruited | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 315 | 2025-05-22 23:58:10 | recruited | 1 | 81242 | 2 | 6.533 | 12435.6 |
| 314 | 2025-05-22 19:33:05 | recruited | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 313 | 2025-05-15 07:40:41 | recruited | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 312 | 2025-05-06 11:29:10 | recruited | 2 | 121436 | 11 | 15.986 | 7596.4 |
| 311 | 2025-05-05 06:45:23 | recruited | 1 | 81242 | 2 | 3.533 | 22995.2 |
| 310 | 2025-05-05 00:26:30 | recruited | 1 | 81242 | 2 | 1.486 | 54671.6 |
| 309 | 2025-05-03 07:06:21 | recruited | 1 | 81242 | 2 | 6.576 | 12354.3 |
| 308 | 2025-04-29 18:24:47 | recruited | 1 | 81242 | 2 | 2.906 | 27956.6 |
| 307 | 2025-04-28 12:46:45 | recruited | 1 | 81242 | 2 | 11.453 | 7093.5 |
| 306 | 2025-04-28 06:31:17 | recruited | 2 | 121436 | 11 | 13.063 | 9296.2 |
| 305 | 2025-04-27 09:56:58 | recruited | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 304 | 2025-04-27 03:08:08 | recruited | 1 | 81242 | 2 | 5.220 | 15563.6 |
| 303 | 2025-04-26 17:18:58 | recruited | 1 | 81242 | 2 | 5.796 | 14016.9 |
| 302 | 2025-04-25 21:25:01 | recruited | 1 | 81242 | 2 | 7.156 | 11353.0 |
| 301 | 2025-04-24 15:04:08 | recruited | 1 | 81242 | 2 | 6.656 | 12205.8 |
| 300 | 2025-03-27 14:34:08 | recruited | 1 | 81242 | 2 | 3.516 | 23106.4 |
| 299 | 2025-03-27 10:08:59 | recruited | 3 | 148641 | 105 | 24.906 | 5968.1 |
| 298 | 2025-03-26 16:20:55 | recruited | 2 | 121436 | 11 | 22.876 | 5308.4 |
| 297 | 2025-03-26 12:34:29 | recruited | 3 | 148641 | 105 | 28.563 | 5204.0 |
| 296 | 2025-03-26 05:03:19 | recruited | 1 | 81242 | 2 | 5.220 | 15563.6 |
| 295 | 2025-03-24 17:19:20 | recruited | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 294 | 2025-03-21 17:19:04 | recruited | 1 | 81242 | 2 | 3.016 | 26937.0 |
| 293 | 2025-03-10 17:00:00 | recruited | 1 | 81242 | 2 | 7.000 | 11606.0 |
| 292 | 2025-03-01 17:14:29 | recruited | 1 | 81242 | 2 | 6.063 | 13399.6 |
| 291 | 2025-02-05 18:16:00 | recruited | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 290 | 2025-02-02 09:08:18 | recruited | 3 | 148641 | 105 | 34.346 | 4327.8 |
| 289 | 2025-02-01 19:59:43 | recruited | 3 | 148641 | 105 | 38.830 | 3828.0 |
| 288 | 2025-01-30 00:42:36 | recruited | 3 | 148641 | 105 | 26.846 | 5536.8 |
| 287 | 2025-01-30 00:39:59 | recruited | 2 | 121436 | 11 | 27.470 | 4420.7 |
| 286 | 2025-01-30 00:29:47 | recruited | 1 | 81242 | 2 | 3.313 | 24522.2 |
| 285 | 2025-01-29 20:58:03 | recruited | 3 | 148641 | 105 | 47.530 | 3127.3 |
| 284 | 2025-01-29 20:58:07 | recruited | 2 | 121436 | 11 | 13.500 | 8995.3 |
| 283 | 2025-01-29 20:18:49 | recruited | 3 | 148641 | 105 | 44.566 | 3335.3 |
| 282 | 2025-01-29 19:47:44 | recruited | 1 | 81242 | 2 | 6.703 | 12120.2 |
| 281 | 2025-01-27 11:25:40 | recruited | 1 | 81242 | 2 | 4.190 | 19389.5 |
| 280 | 2025-01-02 19:45:35 | recruited | 1 | 81242 | 2 | 5.360 | 15157.1 |
| 279 | 2025-01-01 17:22:54 | recruited | 3 | 148641 | 105 | 36.516 | 4070.6 |
| 278 | 2025-01-01 07:34:00 | recruited | 3 | 148641 | 105 | 38.426 | 3868.2 |
| 277 | 2024-12-30 12:50:35 | recruited | 3 | 148641 | 105 | 34.096 | 4359.5 |
| 276 | 2024-12-30 12:50:35 | recruited | 2 | 121436 | 11 | 18.390 | 6603.4 |
| 275 | 2024-12-30 12:49:33 | recruited | 1 | 81242 | 2 | 4.013 | 20244.7 |
| 274 | 2024-12-27 14:39:52 | recruited | 1 | 81242 | 2 | 1.513 | 53696.0 |