History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"disemployed"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 408 | 2025-12-21 22:29:39 | disemployed | 2 | 86808 | 4 | 2.580 | 33646.5 |
| 407 | 2025-12-21 07:41:59 | disemployed | 2 | 86808 | 4 | 2.533 | 34270.8 |
| 406 | 2025-12-16 01:01:28 | disemployed | 2 | 86808 | 4 | 4.296 | 20206.7 |
| 405 | 2025-12-15 07:25:44 | disemployed | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 404 | 2025-12-12 03:04:27 | disemployed | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 403 | 2025-12-10 18:17:22 | disemployed | 2 | 86808 | 4 | 2.373 | 36581.5 |
| 402 | 2025-12-10 12:57:12 | disemployed | 2 | 86808 | 4 | 2.076 | 41815.0 |
| 401 | 2025-12-03 23:17:58 | disemployed | 5 | 164607 | 248 | 20.796 | 7915.3 |
| 400 | 2025-12-03 08:17:14 | disemployed | 2 | 86808 | 4 | 2.610 | 33259.8 |
| 399 | 2025-12-02 07:55:15 | disemployed | 5 | 164607 | 248 | 13.876 | 11862.7 |
| 398 | 2025-11-25 00:00:12 | disemployed | 2 | 86808 | 4 | 2.936 | 29566.8 |
| 397 | 2025-11-15 00:45:07 | disemployed | 2 | 86808 | 4 | 3.860 | 22489.1 |
| 396 | 2025-11-14 06:29:05 | disemployed | 3 | 121633 | 15 | 5.356 | 22709.7 |
| 395 | 2025-11-06 20:12:51 | disemployed | 2 | 86808 | 4 | 2.500 | 34723.2 |
| 394 | 2025-11-01 16:41:46 | disemployed | 2 | 86808 | 4 | 2.516 | 34502.4 |
| 393 | 2025-10-26 07:10:41 | disemployed | 2 | 86808 | 4 | 2.500 | 34723.2 |
| 392 | 2025-10-19 08:18:17 | disemployed | 2 | 86808 | 4 | 2.250 | 38581.3 |
| 391 | 2025-10-13 19:03:13 | disemployed | 2 | 86808 | 4 | 2.640 | 32881.8 |
| 390 | 2025-10-09 02:50:43 | disemployed | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 389 | 2025-10-07 09:50:26 | disemployed | 2 | 86808 | 4 | 2.346 | 37002.6 |
| 388 | 2025-09-29 16:19:20 | disemployed | 2 | 86808 | 4 | 2.483 | 34960.9 |
| 387 | 2025-09-19 01:58:04 | disemployed | 2 | 86808 | 4 | 2.110 | 41141.2 |
| 386 | 2025-09-12 19:14:01 | disemployed | 2 | 86808 | 4 | 2.500 | 34723.2 |
| 385 | 2025-09-06 00:43:34 | disemployed | 2 | 86808 | 4 | 2.060 | 42139.8 |
| 384 | 2025-09-05 13:51:45 | disemployed | 2 | 86808 | 4 | 2.170 | 40003.7 |
| 383 | 2025-08-23 22:34:05 | disemployed | 2 | 86808 | 4 | 2.500 | 34723.2 |
| 382 | 2025-08-19 04:02:38 | disemployed | 1 | 49908 | 2 | 3.736 | 13358.7 |
| 381 | 2025-08-17 00:23:45 | disemployed | 2 | 86808 | 4 | 8.516 | 10193.5 |
| 380 | 2025-08-12 00:36:54 | disemployed | 4 | 148819 | 54 | 22.423 | 6636.9 |
| 379 | 2025-08-09 02:42:51 | disemployed | 1 | 49908 | 2 | 4.296 | 11617.3 |
| 378 | 2025-08-05 09:16:59 | disemployed | 1 | 49908 | 2 | 2.313 | 21577.2 |
| 377 | 2025-07-31 03:41:55 | disemployed | 2 | 86808 | 4 | 2.310 | 37579.2 |
| 376 | 2025-07-28 20:59:17 | disemployed | 4 | 148819 | 54 | 33.093 | 4497.0 |
| 375 | 2025-07-28 05:18:08 | disemployed | 3 | 121633 | 15 | 11.233 | 10828.2 |
| 374 | 2025-07-24 21:01:00 | disemployed | 1 | 49908 | 2 | 2.733 | 18261.3 |
| 373 | 2025-07-24 09:08:38 | disemployed | 1 | 49908 | 2 | 3.966 | 12584.0 |
| 372 | 2025-07-21 03:07:51 | disemployed | 2 | 86808 | 4 | 2.280 | 38073.7 |
| 371 | 2025-07-14 23:10:37 | disemployed | 4 | 148819 | 54 | 58.880 | 2527.5 |
| 370 | 2025-07-12 10:46:13 | disemployed | 4 | 148819 | 54 | 13.720 | 10846.9 |
| 369 | 2025-07-12 06:32:18 | disemployed | 2 | 86808 | 4 | 2.296 | 37808.4 |
| 368 | 2025-07-10 05:12:39 | disemployed | 3 | 121633 | 15 | 24.173 | 5031.8 |
| 367 | 2025-07-09 04:49:36 | disemployed | 1 | 49908 | 2 | 0.810 | 61614.8 |
| 366 | 2025-07-08 03:32:43 | disemployed | 2 | 86808 | 4 | 11.250 | 7716.3 |
| 365 | 2025-07-07 02:23:37 | disemployed | 1 | 49908 | 2 | 2.300 | 21699.1 |
| 364 | 2025-07-02 14:26:06 | disemployed | 4 | 148819 | 54 | 47.270 | 3148.3 |
| 363 | 2025-07-01 20:26:29 | disemployed | 2 | 86808 | 4 | 17.516 | 4955.9 |
| 362 | 2025-06-30 08:01:10 | disemployed | 2 | 86808 | 4 | 11.016 | 7880.2 |
| 361 | 2025-06-29 23:07:45 | disemployed | 1 | 49908 | 2 | 3.356 | 14871.3 |
| 360 | 2025-06-28 22:44:39 | disemployed | 1 | 49908 | 2 | 0.750 | 66544.0 |
| 359 | 2025-06-26 20:38:10 | disemployed | 4 | 148819 | 54 | 49.176 | 3026.3 |
| 358 | 2025-06-26 20:22:42 | disemployed | 4 | 148819 | 54 | 57.563 | 2585.3 |
| 357 | 2025-06-16 22:18:13 | disemployed | 4 | 148819 | 54 | 33.836 | 4398.2 |
| 356 | 2025-06-11 04:21:57 | disemployed | 4 | 148819 | 54 | 42.673 | 3487.4 |
| 355 | 2025-06-03 04:57:53 | disemployed | 4 | 148819 | 54 | 18.893 | 7876.9 |
| 354 | 2025-05-31 04:49:49 | disemployed | 4 | 148819 | 54 | 59.830 | 2487.4 |
| 353 | 2025-05-31 01:32:51 | disemployed | 5 | 164607 | 248 | 79.880 | 2060.7 |
| 352 | 2025-05-30 11:58:27 | disemployed | 2 | 86808 | 4 | 12.783 | 6790.9 |
| 351 | 2025-05-29 18:19:27 | disemployed | 4 | 148819 | 54 | 9.093 | 16366.3 |
| 350 | 2025-05-28 21:21:39 | disemployed | 2 | 86808 | 4 | 13.783 | 6298.2 |
| 349 | 2025-05-28 18:04:30 | disemployed | 5 | 164607 | 248 | 18.203 | 9042.9 |
| 348 | 2025-05-28 10:46:45 | disemployed | 1 | 49908 | 2 | 0.906 | 55086.1 |
| 347 | 2025-05-26 13:40:05 | disemployed | 5 | 164607 | 248 | 90.473 | 1819.4 |
| 346 | 2025-05-25 13:17:22 | disemployed | 5 | 164607 | 248 | 50.923 | 3232.5 |
| 345 | 2025-05-23 07:55:17 | disemployed | 5 | 164607 | 248 | 78.060 | 2108.7 |
| 344 | 2025-05-22 06:05:29 | disemployed | 1 | 49908 | 2 | 1.923 | 25953.2 |
| 343 | 2025-05-18 13:55:23 | disemployed | 1 | 49908 | 2 | 2.923 | 17074.2 |
| 342 | 2025-05-16 11:57:54 | disemployed | 1 | 49908 | 2 | 4.520 | 11041.6 |
| 341 | 2025-05-16 03:39:01 | disemployed | 2 | 86808 | 4 | 8.860 | 9797.7 |
| 340 | 2025-05-15 03:49:49 | disemployed | 4 | 148819 | 54 | 8.906 | 16710.0 |
| 339 | 2025-05-13 10:49:11 | disemployed | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 338 | 2025-05-12 07:08:47 | disemployed | 4 | 148819 | 54 | 37.490 | 3969.6 |
| 337 | 2025-05-11 12:44:06 | disemployed | 4 | 148819 | 54 | 53.690 | 2771.8 |
| 336 | 2025-05-09 22:44:46 | disemployed | 4 | 148819 | 54 | 47.863 | 3109.3 |
| 335 | 2025-05-05 22:30:30 | disemployed | 1 | 49908 | 2 | 4.063 | 12283.5 |
| 334 | 2025-05-02 16:54:50 | disemployed | 5 | 164607 | 248 | 54.313 | 3030.7 |
| 333 | 2025-05-02 08:31:50 | disemployed | 1 | 49908 | 2 | 2.390 | 20882.0 |
| 332 | 2025-04-18 13:18:50 | disemployed | 1 | 49908 | 2 | 1.966 | 25385.6 |
| 331 | 2025-04-18 10:58:55 | disemployed | 5 | 164607 | 248 | 77.220 | 2131.7 |
| 330 | 2025-04-18 07:17:38 | disemployed | 5 | 164607 | 248 | 54.966 | 2994.7 |
| 329 | 2025-04-16 13:31:11 | disemployed | 5 | 164607 | 248 | 60.686 | 2712.4 |
| 328 | 2025-04-11 13:13:31 | disemployed | 5 | 164607 | 248 | 59.730 | 2755.9 |
| 327 | 2025-04-11 03:26:31 | disemployed | 5 | 164607 | 248 | 72.800 | 2261.1 |
| 326 | 2025-04-06 17:47:41 | disemployed | 5 | 164607 | 248 | 75.103 | 2191.7 |
| 325 | 2025-04-06 04:12:09 | disemployed | 3 | 121633 | 15 | 27.796 | 4375.9 |
| 324 | 2025-04-06 02:07:59 | disemployed | 1 | 49908 | 2 | 2.300 | 21699.1 |
| 323 | 2025-04-05 21:48:34 | disemployed | 1 | 49908 | 2 | 3.283 | 15201.9 |
| 322 | 2025-04-05 20:34:03 | disemployed | 2 | 86808 | 4 | 12.280 | 7069.1 |
| 321 | 2025-04-05 12:43:18 | disemployed | 4 | 148819 | 54 | 9.330 | 15950.6 |
| 320 | 2025-04-04 06:53:20 | disemployed | 4 | 148819 | 54 | 54.626 | 2724.3 |
| 319 | 2025-04-01 06:13:14 | disemployed | 4 | 148819 | 54 | 11.860 | 12548.0 |
| 318 | 2025-03-29 23:14:50 | disemployed | 4 | 148819 | 54 | 46.786 | 3180.8 |
| 317 | 2025-03-27 16:46:54 | disemployed | 4 | 148819 | 54 | 45.673 | 3258.4 |
| 316 | 2025-03-26 07:04:16 | disemployed | 3 | 121633 | 15 | 13.376 | 9093.4 |
| 315 | 2025-03-26 02:42:17 | disemployed | 2 | 86808 | 4 | 11.860 | 7319.4 |
| 314 | 2025-03-25 23:00:44 | disemployed | 4 | 148819 | 54 | 24.876 | 5982.4 |
| 313 | 2025-03-18 00:33:51 | disemployed | 3 | 121633 | 15 | 16.000 | 7602.1 |
| 312 | 2025-03-03 04:51:37 | disemployed | 4 | 148819 | 54 | 55.063 | 2702.7 |
| 311 | 2025-03-03 04:51:31 | disemployed | 3 | 121633 | 15 | 33.220 | 3661.4 |
| 310 | 2025-03-03 04:51:29 | disemployed | 2 | 86808 | 4 | 12.656 | 6859.0 |
| 309 | 2025-03-03 04:46:26 | disemployed | 1 | 49908 | 2 | 2.750 | 18148.4 |