History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"traumatised"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 410 | 2025-11-25 06:20:08 | traumatised | 1 | 49908 | 4 | 0.766 | 65154.0 |
| 409 | 2025-11-20 08:01:23 | traumatised | 1 | 49908 | 4 | 0.890 | 56076.4 |
| 408 | 2025-11-18 06:10:54 | traumatised | 1 | 49908 | 4 | 2.033 | 24548.9 |
| 407 | 2025-11-16 12:15:52 | traumatised | 1 | 49908 | 4 | 1.923 | 25953.2 |
| 406 | 2025-11-15 18:40:58 | traumatised | 1 | 49908 | 4 | 0.783 | 63739.5 |
| 405 | 2025-11-11 21:05:54 | traumatised | 1 | 49908 | 4 | 0.940 | 53093.6 |
| 404 | 2025-10-20 21:11:37 | traumatised | 1 | 49908 | 4 | 2.016 | 24756.0 |
| 403 | 2025-10-20 21:10:48 | traumatised | 1 | 49908 | 4 | 2.123 | 23508.2 |
| 402 | 2025-10-20 21:10:02 | traumatised | 1 | 49908 | 4 | 4.096 | 12184.6 |
| 401 | 2025-10-20 21:09:08 | traumatised | 1 | 49908 | 4 | 3.920 | 12731.6 |
| 400 | 2025-10-17 17:05:02 | traumatised | 1 | 49908 | 4 | 0.766 | 65154.0 |
| 399 | 2025-10-15 14:38:23 | traumatised | 1 | 49908 | 4 | 0.843 | 59202.8 |
| 398 | 2025-10-15 13:11:20 | traumatised | 1 | 49908 | 4 | 0.733 | 68087.3 |
| 397 | 2025-10-15 12:05:01 | traumatised | 1 | 49908 | 4 | 0.813 | 61387.5 |
| 396 | 2025-09-30 18:11:50 | traumatised | 1 | 49908 | 4 | 0.843 | 59202.8 |
| 395 | 2025-09-16 16:20:31 | traumatised | 1 | 49908 | 4 | 0.953 | 52369.4 |
| 394 | 2025-09-14 07:27:46 | traumatised | 1 | 49908 | 4 | 0.890 | 56076.4 |
| 393 | 2025-09-11 16:52:13 | traumatised | 1 | 49908 | 4 | 0.890 | 56076.4 |
| 392 | 2025-08-29 17:35:56 | traumatised | 1 | 49908 | 4 | 0.750 | 66544.0 |
| 391 | 2025-08-27 20:51:46 | traumatised | 1 | 49908 | 4 | 0.890 | 56076.4 |
| 390 | 2025-08-21 05:39:10 | traumatised | 4 | 148819 | 39 | 27.410 | 5429.4 |
| 389 | 2025-08-19 15:01:14 | traumatised | 4 | 148819 | 39 | 41.283 | 3604.8 |
| 388 | 2025-08-18 21:13:21 | traumatised | 3 | 121633 | 14 | 12.126 | 10030.8 |
| 387 | 2025-08-18 12:00:19 | traumatised | 1 | 49908 | 4 | 0.843 | 59202.8 |
| 386 | 2025-08-09 17:28:27 | traumatised | 1 | 49908 | 4 | 4.000 | 12477.0 |
| 385 | 2025-08-08 22:20:16 | traumatised | 1 | 49908 | 4 | 2.140 | 23321.5 |
| 384 | 2025-08-05 17:43:44 | traumatised | 1 | 49908 | 4 | 1.750 | 28518.9 |
| 383 | 2025-08-05 16:57:00 | traumatised | 1 | 49908 | 4 | 3.123 | 15980.8 |
| 382 | 2025-08-05 16:05:05 | traumatised | 1 | 49908 | 4 | 1.920 | 25993.8 |
| 381 | 2025-07-24 08:55:48 | traumatised | 1 | 49908 | 4 | 4.046 | 12335.1 |
| 380 | 2025-07-10 16:47:18 | traumatised | 1 | 49908 | 4 | 4.623 | 10795.6 |
| 379 | 2025-07-03 14:14:38 | traumatised | 2 | 86808 | 9 | 2.470 | 35144.9 |
| 378 | 2025-07-03 10:31:35 | traumatised | 4 | 148819 | 39 | 40.596 | 3665.9 |
| 377 | 2025-07-03 04:50:56 | traumatised | 3 | 121633 | 14 | 6.140 | 19809.9 |
| 376 | 2025-07-02 20:31:33 | traumatised | 4 | 148819 | 39 | 45.876 | 3243.9 |
| 375 | 2025-07-02 14:47:29 | traumatised | 1 | 49908 | 4 | 4.313 | 11571.5 |
| 374 | 2025-05-31 11:34:05 | traumatised | 1 | 49908 | 4 | 4.110 | 12143.1 |
| 373 | 2025-05-31 11:02:38 | traumatised | 1 | 49908 | 4 | 2.046 | 24393.0 |
| 372 | 2025-05-30 06:21:37 | traumatised | 4 | 148819 | 39 | 65.070 | 2287.1 |
| 371 | 2025-05-22 09:58:11 | traumatised | 1 | 49908 | 4 | 3.533 | 14126.2 |
| 370 | 2025-05-21 04:44:47 | traumatised | 4 | 148819 | 39 | 9.453 | 15743.0 |
| 369 | 2025-05-20 16:25:06 | traumatised | 1 | 49908 | 4 | 6.016 | 8295.9 |
| 368 | 2025-05-17 00:16:13 | traumatised | 4 | 148819 | 39 | 44.720 | 3327.8 |
| 367 | 2025-05-12 12:35:38 | traumatised | 3 | 121633 | 14 | 15.843 | 7677.4 |
| 366 | 2025-05-12 06:10:45 | traumatised | 4 | 148819 | 39 | 46.330 | 3212.2 |
| 365 | 2025-05-11 14:06:12 | traumatised | 1 | 49908 | 4 | 2.140 | 23321.5 |
| 364 | 2025-05-10 04:10:08 | traumatised | 5 | 164607 | 300 | 99.910 | 1647.6 |
| 363 | 2025-05-09 23:16:59 | traumatised | 3 | 121633 | 14 | 18.313 | 6641.9 |
| 362 | 2025-05-08 06:52:20 | traumatised | 1 | 49908 | 4 | 2.016 | 24756.0 |
| 361 | 2025-05-06 12:29:13 | traumatised | 5 | 164607 | 300 | 110.180 | 1494.0 |
| 360 | 2025-05-05 20:37:32 | traumatised | 3 | 121633 | 14 | 22.846 | 5324.0 |
| 359 | 2025-04-29 13:23:19 | traumatised | 3 | 121633 | 14 | 30.953 | 3929.6 |
| 358 | 2025-04-18 17:33:03 | traumatised | 5 | 164607 | 300 | 59.503 | 2766.4 |
| 357 | 2025-04-18 03:58:58 | traumatised | 5 | 164607 | 300 | 66.846 | 2462.5 |
| 356 | 2025-04-16 04:38:56 | traumatised | 5 | 164607 | 300 | 90.393 | 1821.0 |
| 355 | 2025-04-14 15:23:52 | traumatised | 5 | 164607 | 300 | 85.193 | 1932.2 |
| 354 | 2025-04-12 16:01:09 | traumatised | 1 | 49908 | 4 | 4.220 | 11826.5 |
| 353 | 2025-04-02 13:40:46 | traumatised | 1 | 49908 | 4 | 3.453 | 14453.5 |
| 352 | 2025-03-29 14:08:18 | traumatised | 1 | 49908 | 4 | 1.873 | 26646.0 |
| 351 | 2025-03-26 18:57:54 | traumatised | 4 | 148819 | 39 | 9.766 | 15238.5 |
| 350 | 2025-03-26 03:48:53 | traumatised | 4 | 148819 | 39 | 48.720 | 3054.6 |
| 349 | 2025-03-25 05:15:50 | traumatised | 2 | 86808 | 9 | 13.156 | 6598.4 |
| 348 | 2025-03-25 01:12:40 | traumatised | 3 | 121633 | 14 | 25.390 | 4790.6 |
| 347 | 2025-03-23 14:53:04 | traumatised | 1 | 49908 | 4 | 1.530 | 32619.6 |
| 346 | 2025-03-19 08:43:28 | traumatised | 3 | 121633 | 14 | 5.200 | 23391.0 |
| 345 | 2025-03-12 12:23:51 | traumatised | 4 | 148819 | 39 | 53.863 | 2762.9 |
| 344 | 2025-03-12 12:23:50 | traumatised | 3 | 121633 | 14 | 19.250 | 6318.6 |
| 343 | 2025-03-12 12:23:40 | traumatised | 2 | 86808 | 9 | 11.046 | 7858.8 |
| 342 | 2025-03-09 09:17:19 | traumatised | 4 | 148819 | 39 | 47.080 | 3161.0 |
| 341 | 2025-03-08 15:13:15 | traumatised | 2 | 86808 | 9 | 10.483 | 8280.8 |
| 340 | 2025-03-08 15:12:50 | traumatised | 1 | 49908 | 4 | 2.326 | 21456.6 |
| 339 | 2025-03-08 11:21:05 | traumatised | 4 | 148819 | 39 | 47.736 | 3117.5 |
| 338 | 2025-03-07 07:24:48 | traumatised | 4 | 148819 | 39 | 47.373 | 3141.4 |
| 337 | 2025-03-06 21:59:46 | traumatised | 4 | 148819 | 39 | 57.050 | 2608.6 |
| 336 | 2025-03-05 23:06:26 | traumatised | 3 | 121633 | 14 | 28.516 | 4265.4 |
| 335 | 2025-03-05 23:06:24 | traumatised | 3 | 121633 | 14 | 28.596 | 4253.5 |
| 334 | 2025-03-05 22:01:55 | traumatised | 5 | 164607 | 300 | 66.456 | 2476.9 |
| 333 | 2025-03-05 22:01:54 | traumatised | 3 | 121633 | 14 | 33.173 | 3666.6 |
| 332 | 2025-03-05 22:01:54 | traumatised | 4 | 148819 | 39 | 32.470 | 4583.3 |
| 331 | 2025-03-05 22:01:54 | traumatised | 2 | 86808 | 9 | 9.000 | 9645.3 |
| 330 | 2025-03-05 22:00:24 | traumatised | 1 | 49908 | 4 | 6.013 | 8300.0 |
| 329 | 2025-02-20 08:26:00 | traumatised | 3 | 121633 | 14 | 25.423 | 4784.4 |
| 328 | 2025-02-20 08:26:06 | traumatised | 2 | 86808 | 9 | 10.970 | 7913.2 |
| 327 | 2025-02-20 03:19:04 | traumatised | 3 | 121633 | 14 | 23.376 | 5203.3 |
| 326 | 2025-02-19 21:38:33 | traumatised | 1 | 49908 | 4 | 2.830 | 17635.3 |
| 325 | 2025-02-08 17:29:31 | traumatised | 1 | 49908 | 4 | 4.186 | 11922.6 |
| 324 | 2025-02-01 21:57:39 | traumatised | 1 | 49908 | 4 | 6.016 | 8295.9 |
| 323 | 2025-02-01 19:10:43 | traumatised | 4 | 148819 | 39 | 24.813 | 5997.6 |
| 322 | 2025-01-31 13:15:23 | traumatised | 4 | 148819 | 39 | 47.640 | 3123.8 |
| 321 | 2025-01-28 13:44:36 | traumatised | 4 | 148819 | 39 | 31.593 | 4710.5 |
| 320 | 2025-01-28 13:42:38 | traumatised | 1 | 49908 | 4 | 3.610 | 13824.9 |
| 319 | 2025-01-19 04:04:24 | traumatised | 3 | 121633 | 14 | 26.200 | 4642.5 |
| 318 | 2025-01-19 04:04:26 | traumatised | 2 | 86808 | 9 | 11.043 | 7860.9 |
| 317 | 2025-01-12 13:03:31 | traumatised | 1 | 49908 | 4 | 3.923 | 12721.9 |
| 316 | 2024-12-31 05:17:46 | traumatised | 2 | 86808 | 9 | 16.143 | 5377.4 |
| 315 | 2024-12-31 05:16:30 | traumatised | 1 | 49908 | 4 | 4.266 | 11699.0 |
| 314 | 2024-12-25 23:30:16 | traumatised | 3 | 121633 | 14 | 38.656 | 3146.5 |
| 313 | 2024-12-25 23:30:22 | traumatised | 2 | 86808 | 9 | 10.813 | 8028.1 |
| 312 | 2024-12-25 23:26:47 | traumatised | 1 | 49908 | 4 | 4.030 | 12384.1 |
| 311 | 2024-12-25 01:07:43 | traumatised | 3 | 121633 | 14 | 24.576 | 4949.3 |