History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"fairnesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 407 | 2025-11-01 12:56:34 | fairnesses | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 406 | 2025-10-31 04:30:36 | fairnesses | 3 | 140603 | 166 | 5.640 | 24929.6 |
| 405 | 2025-10-25 14:50:32 | fairnesses | 1 | 67641 | 2 | 1.720 | 39326.2 |
| 404 | 2025-10-18 13:39:23 | fairnesses | 1 | 67641 | 2 | 1.580 | 42810.8 |
| 403 | 2025-10-08 10:21:24 | fairnesses | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 402 | 2025-10-03 08:14:13 | fairnesses | 1 | 67641 | 2 | 1.250 | 54112.8 |
| 401 | 2025-09-28 03:45:32 | fairnesses | 1 | 67641 | 2 | 1.033 | 65480.2 |
| 400 | 2025-09-27 21:38:09 | fairnesses | 3 | 140603 | 166 | 6.673 | 21070.4 |
| 399 | 2025-09-26 03:08:49 | fairnesses | 3 | 140603 | 166 | 5.656 | 24859.1 |
| 398 | 2025-09-24 03:33:39 | fairnesses | 1 | 67641 | 2 | 1.123 | 60232.4 |
| 397 | 2025-09-19 15:06:24 | fairnesses | 1 | 67641 | 2 | 1.080 | 62630.6 |
| 396 | 2025-09-16 16:37:47 | fairnesses | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 395 | 2025-09-16 12:38:38 | fairnesses | 1 | 67641 | 2 | 1.060 | 63812.3 |
| 394 | 2025-09-10 17:05:47 | fairnesses | 1 | 67641 | 2 | 1.190 | 56841.2 |
| 393 | 2025-09-06 22:24:39 | fairnesses | 1 | 67641 | 2 | 1.013 | 66773.0 |
| 392 | 2025-09-06 22:19:33 | fairnesses | 3 | 140603 | 166 | 6.686 | 21029.5 |
| 391 | 2025-09-06 21:22:18 | fairnesses | 1 | 67641 | 2 | 1.063 | 63632.2 |
| 390 | 2025-09-02 12:29:53 | fairnesses | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 389 | 2025-08-31 06:43:29 | fairnesses | 1 | 67641 | 2 | 1.016 | 66575.8 |
| 388 | 2025-08-25 14:30:55 | fairnesses | 1 | 67641 | 2 | 5.390 | 12549.4 |
| 387 | 2025-08-18 10:59:37 | fairnesses | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 386 | 2025-08-09 16:00:09 | fairnesses | 1 | 67641 | 2 | 5.530 | 12231.6 |
| 385 | 2025-08-09 02:07:04 | fairnesses | 1 | 67641 | 2 | 5.063 | 13359.9 |
| 384 | 2025-08-06 17:06:30 | fairnesses | 2 | 108824 | 16 | 8.266 | 13165.3 |
| 383 | 2025-08-06 16:33:10 | fairnesses | 3 | 140603 | 166 | 26.470 | 5311.8 |
| 382 | 2025-08-06 16:33:20 | fairnesses | 3 | 140603 | 166 | 15.326 | 9174.1 |
| 381 | 2025-08-05 07:30:16 | fairnesses | 3 | 140603 | 166 | 19.516 | 7204.5 |
| 380 | 2025-08-05 02:14:22 | fairnesses | 3 | 140603 | 166 | 16.453 | 8545.7 |
| 379 | 2025-08-05 01:42:15 | fairnesses | 3 | 140603 | 166 | 30.093 | 4672.3 |
| 378 | 2025-08-04 11:14:29 | fairnesses | 1 | 67641 | 2 | 2.860 | 23650.7 |
| 377 | 2025-08-04 08:18:20 | fairnesses | 1 | 67641 | 2 | 8.020 | 8434.0 |
| 376 | 2025-08-04 00:41:27 | fairnesses | 2 | 108824 | 16 | 12.356 | 8807.4 |
| 375 | 2025-08-03 23:22:12 | fairnesses | 3 | 140603 | 166 | 28.656 | 4906.6 |
| 374 | 2025-07-31 10:01:57 | fairnesses | 1 | 67641 | 2 | 1.080 | 62630.6 |
| 373 | 2025-07-28 05:25:15 | fairnesses | 1 | 67641 | 2 | 4.810 | 14062.6 |
| 372 | 2025-07-27 05:21:55 | fairnesses | 1 | 67641 | 2 | 4.956 | 13648.3 |
| 371 | 2025-07-27 03:11:43 | fairnesses | 1 | 67641 | 2 | 3.233 | 20922.1 |
| 370 | 2025-07-22 20:23:09 | fairnesses | 1 | 67641 | 2 | 5.766 | 11731.0 |
| 369 | 2025-07-22 11:14:32 | fairnesses | 1 | 67641 | 2 | 4.503 | 15021.3 |
| 368 | 2025-07-21 00:18:20 | fairnesses | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 367 | 2025-07-12 12:28:16 | fairnesses | 1 | 67641 | 2 | 1.000 | 67641.0 |
| 366 | 2025-07-10 18:56:24 | fairnesses | 1 | 67641 | 2 | 5.393 | 12542.4 |
| 365 | 2025-07-04 01:55:26 | fairnesses | 1 | 67641 | 2 | 3.186 | 21230.7 |
| 364 | 2025-06-29 16:06:33 | fairnesses | 1 | 67641 | 2 | 3.640 | 18582.7 |
| 363 | 2025-06-26 05:16:03 | fairnesses | 1 | 67641 | 2 | 5.423 | 12473.0 |
| 362 | 2025-06-24 02:29:54 | fairnesses | 1 | 67641 | 2 | 5.360 | 12619.6 |
| 361 | 2025-06-20 20:56:44 | fairnesses | 1 | 67641 | 2 | 5.280 | 12810.8 |
| 360 | 2025-06-15 06:48:48 | fairnesses | 2 | 108824 | 16 | 2.716 | 40067.7 |
| 359 | 2025-06-05 04:54:56 | fairnesses | 1 | 67641 | 2 | 2.846 | 23767.0 |
| 358 | 2025-06-04 09:59:31 | fairnesses | 1 | 67641 | 2 | 5.373 | 12589.1 |
| 357 | 2025-06-04 01:23:14 | fairnesses | 1 | 67641 | 2 | 3.626 | 18654.4 |
| 356 | 2025-05-29 18:59:40 | fairnesses | 1 | 67641 | 2 | 1.263 | 53555.8 |
| 355 | 2025-05-28 00:31:44 | fairnesses | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 354 | 2025-05-27 14:20:06 | fairnesses | 1 | 67641 | 2 | 4.406 | 15352.0 |
| 353 | 2025-05-26 05:45:42 | fairnesses | 1 | 67641 | 2 | 7.656 | 8835.0 |
| 352 | 2025-05-20 17:27:45 | fairnesses | 1 | 67641 | 2 | 5.896 | 11472.4 |
| 351 | 2025-05-20 02:20:31 | fairnesses | 1 | 67641 | 2 | 5.546 | 12196.4 |
| 350 | 2025-05-14 13:25:40 | fairnesses | 1 | 67641 | 2 | 5.546 | 12196.4 |
| 349 | 2025-05-06 05:45:57 | fairnesses | 2 | 108824 | 16 | 19.563 | 5562.7 |
| 348 | 2025-05-05 04:36:50 | fairnesses | 1 | 67641 | 2 | 1.046 | 64666.3 |
| 347 | 2025-05-04 00:58:57 | fairnesses | 1 | 67641 | 2 | 5.080 | 13315.2 |
| 346 | 2025-04-26 05:02:42 | fairnesses | 1 | 67641 | 2 | 6.876 | 9837.3 |
| 345 | 2025-04-20 15:57:06 | fairnesses | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 344 | 2025-04-03 01:17:28 | fairnesses | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 343 | 2025-04-02 00:59:49 | fairnesses | 1 | 67641 | 2 | 10.170 | 6651.0 |
| 342 | 2025-03-31 12:09:46 | fairnesses | 1 | 67641 | 2 | 2.766 | 24454.4 |
| 341 | 2025-03-23 06:19:00 | fairnesses | 1 | 67641 | 2 | 3.186 | 21230.7 |
| 340 | 2025-03-20 18:27:53 | fairnesses | 1 | 67641 | 2 | 7.390 | 9153.0 |
| 339 | 2025-03-10 15:00:19 | fairnesses | 1 | 67641 | 2 | 2.406 | 28113.5 |
| 338 | 2025-03-02 08:50:20 | fairnesses | 3 | 140603 | 166 | 52.250 | 2691.0 |
| 337 | 2025-03-02 08:50:17 | fairnesses | 2 | 108824 | 16 | 24.126 | 4510.7 |
| 336 | 2025-03-02 08:31:46 | fairnesses | 1 | 67641 | 2 | 1.080 | 62630.6 |
| 335 | 2025-02-18 16:38:09 | fairnesses | 1 | 67641 | 2 | 2.906 | 23276.3 |
| 334 | 2025-02-05 09:08:58 | fairnesses | 1 | 67641 | 2 | 7.923 | 8537.3 |
| 333 | 2025-01-22 21:13:09 | fairnesses | 2 | 108824 | 16 | 15.410 | 7061.9 |
| 332 | 2025-01-22 21:10:27 | fairnesses | 1 | 67641 | 2 | 3.626 | 18654.4 |
| 331 | 2025-01-22 14:00:24 | fairnesses | 3 | 140603 | 166 | 34.436 | 4083.0 |
| 330 | 2025-01-22 07:44:12 | fairnesses | 3 | 140603 | 166 | 18.233 | 7711.5 |
| 329 | 2025-01-22 07:44:19 | fairnesses | 2 | 108824 | 16 | 12.796 | 8504.5 |
| 328 | 2025-01-22 07:38:50 | fairnesses | 1 | 67641 | 2 | 1.670 | 40503.6 |
| 327 | 2025-01-16 20:27:51 | fairnesses | 1 | 67641 | 2 | 2.530 | 26735.6 |
| 326 | 2025-01-06 09:20:03 | fairnesses | 3 | 140603 | 166 | 19.780 | 7108.3 |
| 325 | 2025-01-04 09:33:43 | fairnesses | 2 | 108824 | 16 | 23.816 | 4569.4 |
| 324 | 2025-01-04 09:33:40 | fairnesses | 3 | 140603 | 166 | 26.343 | 5337.4 |
| 323 | 2025-01-04 09:31:52 | fairnesses | 1 | 67641 | 2 | 2.750 | 24596.7 |
| 322 | 2024-12-23 06:54:53 | fairnesses | 1 | 67641 | 2 | 2.563 | 26391.3 |
| 321 | 2024-12-21 20:51:28 | fairnesses | 2 | 108824 | 16 | 24.066 | 4521.9 |
| 320 | 2024-12-21 20:48:48 | fairnesses | 1 | 67641 | 2 | 3.406 | 19859.4 |
| 319 | 2024-12-21 20:37:40 | fairnesses | 3 | 140603 | 166 | 31.063 | 4526.4 |
| 318 | 2024-12-21 06:44:31 | fairnesses | 3 | 140603 | 166 | 49.050 | 2866.5 |
| 317 | 2024-12-21 06:44:30 | fairnesses | 2 | 108824 | 16 | 14.893 | 7307.1 |
| 316 | 2024-12-11 21:20:57 | fairnesses | 1 | 67641 | 2 | 2.813 | 24045.9 |
| 315 | 2024-12-04 21:25:39 | fairnesses | 3 | 140603 | 166 | 40.346 | 3484.9 |
| 314 | 2024-12-04 21:25:47 | fairnesses | 2 | 108824 | 16 | 12.860 | 8462.2 |
| 313 | 2024-12-04 21:24:46 | fairnesses | 1 | 67641 | 2 | 5.376 | 12582.0 |
| 312 | 2024-11-15 12:23:34 | fairnesses | 1 | 67641 | 2 | 5.033 | 13439.5 |
| 311 | 2024-11-12 01:44:01 | fairnesses | 2 | 108824 | 16 | 3.313 | 32847.6 |
| 310 | 2024-11-12 00:56:15 | fairnesses | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 309 | 2024-11-09 06:05:30 | fairnesses | 2 | 108824 | 16 | 6.873 | 15833.6 |
| 308 | 2024-11-09 06:04:40 | fairnesses | 1 | 67641 | 2 | 1.126 | 60071.9 |