History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"softness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 425 | 2026-03-16 02:48:31 | softness | 1 | 82945 | 1 | 1.440 | 57600.7 |
| 424 | 2026-03-09 23:06:02 | softness | 1 | 82945 | 1 | 1.423 | 58288.8 |
| 423 | 2026-03-06 15:56:59 | softness | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 422 | 2026-03-05 18:22:52 | softness | 1 | 82945 | 1 | 1.546 | 53651.4 |
| 421 | 2026-03-03 12:36:50 | softness | 3 | 146162 | 210 | 6.436 | 22710.1 |
| 420 | 2026-03-01 20:05:44 | softness | 3 | 146162 | 210 | 8.346 | 17512.8 |
| 419 | 2026-03-01 07:04:15 | softness | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 418 | 2026-02-26 07:28:51 | softness | 2 | 121059 | 22 | 3.893 | 31096.6 |
| 417 | 2026-02-23 13:21:38 | softness | 3 | 146162 | 210 | 7.656 | 19091.2 |
| 416 | 2026-02-23 11:34:34 | softness | 3 | 146162 | 210 | 24.626 | 5935.3 |
| 415 | 2026-02-20 22:24:48 | softness | 3 | 146162 | 210 | 7.423 | 19690.4 |
| 414 | 2026-02-20 17:07:44 | softness | 3 | 146162 | 210 | 7.703 | 18974.7 |
| 413 | 2026-02-20 07:19:39 | softness | 3 | 146162 | 210 | 10.143 | 14410.1 |
| 412 | 2026-02-18 13:12:46 | softness | 1 | 82945 | 1 | 1.610 | 51518.6 |
| 411 | 2026-02-17 18:06:41 | softness | 3 | 146162 | 210 | 12.393 | 11793.9 |
| 410 | 2026-02-09 02:38:58 | softness | 1 | 82945 | 1 | 1.563 | 53067.8 |
| 409 | 2026-02-08 22:00:36 | softness | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 408 | 2026-02-08 02:03:59 | softness | 3 | 146162 | 210 | 7.436 | 19656.0 |
| 407 | 2026-02-07 01:59:34 | softness | 2 | 121059 | 22 | 11.330 | 10684.8 |
| 406 | 2026-01-28 17:05:21 | softness | 1 | 82945 | 1 | 1.560 | 53169.9 |
| 405 | 2026-01-28 14:20:59 | softness | 1 | 82945 | 1 | 1.393 | 59544.1 |
| 404 | 2026-01-24 16:45:55 | softness | 1 | 82945 | 1 | 10.330 | 8029.5 |
| 403 | 2026-01-24 16:45:45 | softness | 1 | 82945 | 1 | 5.843 | 14195.6 |
| 402 | 2026-01-24 16:45:32 | softness | 1 | 82945 | 1 | 7.860 | 10552.8 |
| 401 | 2026-01-24 16:45:19 | softness | 1 | 82945 | 1 | 4.470 | 18555.9 |
| 400 | 2026-01-22 18:55:27 | softness | 1 | 82945 | 1 | 7.300 | 11362.3 |
| 399 | 2026-01-20 09:59:17 | softness | 3 | 146162 | 210 | 7.310 | 19994.8 |
| 398 | 2026-01-18 00:31:28 | softness | 1 | 82945 | 1 | 6.860 | 12091.1 |
| 397 | 2026-01-18 00:31:00 | softness | 1 | 82945 | 1 | 6.736 | 12313.7 |
| 396 | 2025-12-24 17:23:28 | softness | 1 | 82945 | 1 | 1.546 | 53651.4 |
| 395 | 2025-12-24 16:28:35 | softness | 3 | 146162 | 210 | 8.890 | 16441.2 |
| 394 | 2025-12-23 22:31:31 | softness | 3 | 146162 | 210 | 13.033 | 11214.8 |
| 393 | 2025-12-13 19:32:50 | softness | 1 | 82945 | 1 | 3.610 | 22976.5 |
| 392 | 2025-11-26 02:28:02 | softness | 1 | 82945 | 1 | 1.533 | 54106.3 |
| 391 | 2025-11-23 05:37:19 | softness | 3 | 146162 | 210 | 7.423 | 19690.4 |
| 390 | 2025-10-20 00:34:38 | softness | 2 | 121059 | 22 | 20.030 | 6043.9 |
| 389 | 2025-10-06 16:02:49 | softness | 1 | 82945 | 1 | 1.516 | 54713.1 |
| 388 | 2025-10-04 22:36:14 | softness | 1 | 82945 | 1 | 1.560 | 53169.9 |
| 387 | 2025-09-18 07:11:48 | softness | 3 | 146162 | 210 | 7.813 | 18707.5 |
| 386 | 2025-09-12 07:16:39 | softness | 2 | 121059 | 22 | 4.156 | 29128.7 |
| 385 | 2025-09-01 01:54:53 | softness | 3 | 146162 | 210 | 7.656 | 19091.2 |
| 384 | 2025-08-14 22:28:20 | softness | 3 | 146162 | 210 | 28.860 | 5064.5 |
| 383 | 2025-08-13 06:44:55 | softness | 1 | 82945 | 1 | 1.326 | 62552.8 |
| 382 | 2025-08-13 06:01:22 | softness | 2 | 121059 | 22 | 19.860 | 6095.6 |
| 381 | 2025-08-13 05:39:51 | softness | 3 | 146162 | 210 | 53.736 | 2720.0 |
| 380 | 2025-08-11 16:59:58 | softness | 1 | 82945 | 1 | 10.893 | 7614.5 |
| 379 | 2025-08-11 16:59:58 | softness | 1 | 82945 | 1 | 3.283 | 25265.0 |
| 378 | 2025-08-09 13:46:42 | softness | 1 | 82945 | 1 | 7.470 | 11103.7 |
| 377 | 2025-07-29 02:06:55 | softness | 1 | 82945 | 1 | 5.516 | 15037.2 |
| 376 | 2025-07-28 02:57:55 | softness | 1 | 82945 | 1 | 3.186 | 26034.2 |
| 375 | 2025-07-13 21:50:37 | softness | 1 | 82945 | 1 | 7.233 | 11467.6 |
| 374 | 2025-07-07 08:33:08 | softness | 1 | 82945 | 1 | 4.050 | 20480.2 |
| 373 | 2025-07-05 06:10:16 | softness | 1 | 82945 | 1 | 5.516 | 15037.2 |
| 372 | 2025-07-02 00:00:29 | softness | 1 | 82945 | 1 | 9.250 | 8967.0 |
| 371 | 2025-06-26 10:20:16 | softness | 3 | 146162 | 210 | 45.703 | 3198.1 |
| 370 | 2025-06-26 07:23:22 | softness | 1 | 82945 | 1 | 5.830 | 14227.3 |
| 369 | 2025-06-25 10:59:57 | softness | 3 | 146162 | 210 | 18.503 | 7899.4 |
| 368 | 2025-06-24 16:43:02 | softness | 3 | 146162 | 210 | 32.953 | 4435.5 |
| 367 | 2025-06-24 10:38:42 | softness | 3 | 146162 | 210 | 40.460 | 3612.5 |
| 366 | 2025-06-24 07:46:53 | softness | 3 | 146162 | 210 | 31.376 | 4658.4 |
| 365 | 2025-06-23 19:26:30 | softness | 1 | 82945 | 1 | 3.610 | 22976.5 |
| 364 | 2025-06-22 20:21:30 | softness | 3 | 146162 | 210 | 9.843 | 14849.3 |
| 363 | 2025-06-11 21:39:38 | softness | 1 | 82945 | 1 | 4.813 | 17233.5 |
| 362 | 2025-06-11 08:57:41 | softness | 1 | 82945 | 1 | 7.030 | 11798.7 |
| 361 | 2025-06-07 11:30:48 | softness | 1 | 82945 | 1 | 5.780 | 14350.3 |
| 360 | 2025-06-06 14:10:40 | softness | 1 | 82945 | 1 | 4.220 | 19655.2 |
| 359 | 2025-06-04 05:30:36 | softness | 1 | 82945 | 1 | 6.733 | 12319.2 |
| 358 | 2025-05-31 09:10:38 | softness | 1 | 82945 | 1 | 5.983 | 13863.4 |
| 357 | 2025-05-28 17:06:21 | softness | 2 | 121059 | 22 | 3.653 | 33139.6 |
| 356 | 2025-05-26 08:26:38 | softness | 1 | 82945 | 1 | 7.250 | 11440.7 |
| 355 | 2025-05-26 04:08:31 | softness | 1 | 82945 | 1 | 10.610 | 7817.6 |
| 354 | 2025-05-26 03:02:32 | softness | 1 | 82945 | 1 | 5.420 | 15303.5 |
| 353 | 2025-05-14 07:57:22 | softness | 1 | 82945 | 1 | 10.000 | 8294.5 |
| 352 | 2025-05-10 15:09:44 | softness | 3 | 146162 | 210 | 42.283 | 3456.8 |
| 351 | 2025-05-07 21:53:09 | softness | 1 | 82945 | 1 | 3.890 | 21322.6 |
| 350 | 2025-05-07 19:41:35 | softness | 1 | 82945 | 1 | 1.513 | 54821.5 |
| 349 | 2025-05-05 14:15:39 | softness | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 348 | 2025-05-04 05:53:22 | softness | 1 | 82945 | 1 | 5.843 | 14195.6 |
| 347 | 2025-05-02 10:11:18 | softness | 3 | 146162 | 210 | 20.203 | 7234.7 |
| 346 | 2025-05-02 09:27:18 | softness | 3 | 146162 | 210 | 40.156 | 3639.9 |
| 345 | 2025-05-01 03:35:11 | softness | 3 | 146162 | 210 | 38.236 | 3822.6 |
| 344 | 2025-04-28 02:16:15 | softness | 3 | 146162 | 210 | 37.313 | 3917.2 |
| 343 | 2025-04-23 21:17:47 | softness | 1 | 82945 | 1 | 7.096 | 11689.0 |
| 342 | 2025-04-21 23:59:55 | softness | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 341 | 2025-04-20 04:31:25 | softness | 1 | 82945 | 1 | 4.076 | 20349.6 |
| 340 | 2025-04-19 06:54:11 | softness | 1 | 82945 | 1 | 1.576 | 52630.1 |
| 339 | 2025-04-13 19:57:30 | softness | 1 | 82945 | 1 | 4.360 | 19024.1 |
| 338 | 2025-04-05 11:33:53 | softness | 2 | 121059 | 22 | 5.486 | 22066.9 |
| 337 | 2025-04-04 07:32:37 | softness | 3 | 146162 | 210 | 41.986 | 3481.2 |
| 336 | 2025-04-02 04:57:09 | softness | 1 | 82945 | 1 | 3.656 | 22687.4 |
| 335 | 2025-03-28 10:26:32 | softness | 1 | 82945 | 1 | 7.203 | 11515.3 |
| 334 | 2025-03-26 08:18:33 | softness | 2 | 121059 | 22 | 20.550 | 5890.9 |
| 333 | 2025-03-23 22:48:48 | softness | 1 | 82945 | 1 | 10.236 | 8103.3 |
| 332 | 2025-03-22 23:50:39 | softness | 2 | 121059 | 22 | 10.376 | 11667.2 |
| 331 | 2025-03-22 18:12:13 | softness | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 330 | 2025-03-22 03:50:37 | softness | 1 | 82945 | 1 | 8.190 | 10127.6 |
| 329 | 2025-03-20 16:12:56 | softness | 2 | 121059 | 22 | 16.780 | 7214.5 |
| 328 | 2025-03-19 05:43:52 | softness | 1 | 82945 | 1 | 1.436 | 57761.1 |
| 327 | 2025-03-15 18:18:15 | softness | 3 | 146162 | 210 | 38.483 | 3798.1 |
| 326 | 2025-03-15 13:44:14 | softness | 3 | 146162 | 210 | 49.690 | 2941.5 |