History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"setline"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 480 | 2025-10-11 07:09:50 | setline | 1 | 69583 | 2 | 1.313 | 52995.4 |
| 479 | 2025-09-19 00:32:49 | setline | 1 | 69583 | 2 | 1.220 | 57035.2 |
| 478 | 2025-08-27 21:39:48 | setline | 1 | 69583 | 2 | 1.343 | 51811.6 |
| 477 | 2025-08-27 05:20:17 | setline | 1 | 69583 | 2 | 1.233 | 56433.9 |
| 476 | 2025-08-25 04:50:13 | setline | 1 | 69583 | 2 | 4.593 | 15149.8 |
| 475 | 2025-08-13 23:49:34 | setline | 2 | 107671 | 37 | 3.530 | 30501.7 |
| 474 | 2025-08-11 11:56:09 | setline | 1 | 69583 | 2 | 1.283 | 54234.6 |
| 473 | 2025-08-11 10:48:26 | setline | 1 | 69583 | 2 | 2.063 | 33729.0 |
| 472 | 2025-08-07 07:38:14 | setline | 3 | 134027 | 532 | 18.406 | 7281.7 |
| 471 | 2025-08-04 19:52:43 | setline | 3 | 134027 | 532 | 32.860 | 4078.7 |
| 470 | 2025-08-04 07:21:34 | setline | 1 | 69583 | 2 | 2.843 | 24475.2 |
| 469 | 2025-08-03 06:43:40 | setline | 1 | 69583 | 2 | 1.123 | 61961.7 |
| 468 | 2025-08-01 23:40:56 | setline | 3 | 134027 | 532 | 18.836 | 7115.5 |
| 467 | 2025-08-01 21:00:25 | setline | 1 | 69583 | 2 | 5.873 | 11847.9 |
| 466 | 2025-08-01 02:18:37 | setline | 1 | 69583 | 2 | 3.626 | 19190.0 |
| 465 | 2025-07-29 01:51:43 | setline | 3 | 134027 | 532 | 33.643 | 3983.8 |
| 464 | 2025-07-28 09:03:39 | setline | 2 | 107671 | 37 | 15.690 | 6862.4 |
| 463 | 2025-07-27 17:33:20 | setline | 1 | 69583 | 2 | 4.966 | 14011.9 |
| 462 | 2025-07-26 21:06:30 | setline | 1 | 69583 | 2 | 6.516 | 10678.8 |
| 461 | 2025-07-26 10:22:19 | setline | 1 | 69583 | 2 | 3.843 | 18106.4 |
| 460 | 2025-07-26 03:34:45 | setline | 3 | 134027 | 532 | 7.610 | 17612.0 |
| 459 | 2025-07-24 08:12:26 | setline | 1 | 69583 | 2 | 7.953 | 8749.3 |
| 458 | 2025-07-23 14:47:33 | setline | 3 | 134027 | 532 | 36.816 | 3640.5 |
| 457 | 2025-07-23 02:55:51 | setline | 1 | 69583 | 2 | 6.110 | 11388.4 |
| 456 | 2025-07-23 00:02:49 | setline | 1 | 69583 | 2 | 2.876 | 24194.4 |
| 455 | 2025-07-22 20:30:50 | setline | 1 | 69583 | 2 | 5.033 | 13825.4 |
| 454 | 2025-07-21 00:04:48 | setline | 1 | 69583 | 2 | 1.126 | 61796.6 |
| 453 | 2025-07-20 15:51:08 | setline | 3 | 134027 | 532 | 7.080 | 18930.4 |
| 452 | 2025-07-20 09:25:52 | setline | 3 | 134027 | 532 | 11.766 | 11391.0 |
| 451 | 2025-07-20 04:18:06 | setline | 3 | 134027 | 532 | 6.326 | 21186.7 |
| 450 | 2025-07-16 12:15:28 | setline | 1 | 69583 | 2 | 1.376 | 50569.0 |
| 449 | 2025-07-13 10:04:03 | setline | 1 | 69583 | 2 | 1.280 | 54361.7 |
| 448 | 2025-07-13 06:26:59 | setline | 3 | 134027 | 532 | 9.063 | 14788.4 |
| 447 | 2025-07-12 12:10:22 | setline | 3 | 134027 | 532 | 7.233 | 18529.9 |
| 446 | 2025-07-09 17:08:17 | setline | 2 | 107671 | 37 | 3.110 | 34620.9 |
| 445 | 2025-07-08 04:20:02 | setline | 3 | 134027 | 532 | 52.176 | 2568.7 |
| 444 | 2025-07-07 19:55:00 | setline | 3 | 134027 | 532 | 6.843 | 19586.0 |
| 443 | 2025-07-07 05:51:34 | setline | 3 | 134027 | 532 | 36.833 | 3638.8 |
| 442 | 2025-07-05 12:40:24 | setline | 3 | 134027 | 532 | 37.356 | 3587.8 |
| 441 | 2025-07-05 06:42:42 | setline | 3 | 134027 | 532 | 45.126 | 2970.1 |
| 440 | 2025-07-05 02:43:32 | setline | 2 | 107671 | 37 | 12.596 | 8548.0 |
| 439 | 2025-07-04 23:18:38 | setline | 3 | 134027 | 532 | 49.753 | 2693.8 |
| 438 | 2025-07-01 18:32:35 | setline | 1 | 69583 | 2 | 1.393 | 49951.9 |
| 437 | 2025-06-30 18:02:21 | setline | 1 | 69583 | 2 | 3.280 | 21214.3 |
| 436 | 2025-06-29 01:40:46 | setline | 1 | 69583 | 2 | 1.250 | 55666.4 |
| 435 | 2025-06-26 16:57:04 | setline | 1 | 69583 | 2 | 6.576 | 10581.4 |
| 434 | 2025-06-22 05:16:13 | setline | 1 | 69583 | 2 | 3.126 | 22259.4 |
| 433 | 2025-06-21 23:08:27 | setline | 1 | 69583 | 2 | 6.016 | 11566.3 |
| 432 | 2025-06-21 15:01:27 | setline | 3 | 134027 | 532 | 27.923 | 4799.9 |
| 431 | 2025-06-19 13:56:53 | setline | 3 | 134027 | 532 | 6.000 | 22337.8 |
| 430 | 2025-06-18 05:59:11 | setline | 1 | 69583 | 2 | 8.736 | 7965.1 |
| 429 | 2025-06-04 09:33:57 | setline | 2 | 107671 | 37 | 19.940 | 5399.7 |
| 428 | 2025-06-03 05:32:46 | setline | 3 | 134027 | 532 | 8.216 | 16312.9 |
| 427 | 2025-06-02 16:37:03 | setline | 2 | 107671 | 37 | 18.623 | 5781.6 |
| 426 | 2025-06-02 07:13:38 | setline | 3 | 134027 | 532 | 21.330 | 6283.5 |
| 425 | 2025-06-01 23:37:15 | setline | 3 | 134027 | 532 | 32.673 | 4102.1 |
| 424 | 2025-05-31 14:55:58 | setline | 3 | 134027 | 532 | 30.656 | 4372.0 |
| 423 | 2025-05-31 06:40:36 | setline | 2 | 107671 | 37 | 9.826 | 10957.8 |
| 422 | 2025-05-31 01:00:04 | setline | 3 | 134027 | 532 | 38.346 | 3495.2 |
| 421 | 2025-05-30 20:52:28 | setline | 3 | 134027 | 532 | 37.250 | 3598.0 |
| 420 | 2025-05-30 16:43:04 | setline | 1 | 69583 | 2 | 1.126 | 61796.6 |
| 419 | 2025-05-29 01:28:51 | setline | 1 | 69583 | 2 | 6.300 | 11044.9 |
| 418 | 2025-05-28 00:03:09 | setline | 1 | 69583 | 2 | 1.376 | 50569.0 |
| 417 | 2025-05-27 04:56:57 | setline | 1 | 69583 | 2 | 9.533 | 7299.2 |
| 416 | 2025-05-26 17:12:14 | setline | 1 | 69583 | 2 | 9.250 | 7522.5 |
| 415 | 2025-05-25 04:40:01 | setline | 3 | 134027 | 532 | 6.423 | 20866.7 |
| 414 | 2025-05-24 22:06:27 | setline | 3 | 134027 | 532 | 10.266 | 13055.4 |
| 413 | 2025-05-22 06:01:40 | setline | 1 | 69583 | 2 | 5.283 | 13171.1 |
| 412 | 2025-05-22 05:30:25 | setline | 3 | 134027 | 532 | 38.753 | 3458.5 |
| 411 | 2025-05-21 23:17:15 | setline | 1 | 69583 | 2 | 6.283 | 11074.8 |
| 410 | 2025-05-21 04:16:36 | setline | 3 | 134027 | 532 | 6.686 | 20045.9 |
| 409 | 2025-05-19 08:37:55 | setline | 3 | 134027 | 532 | 7.440 | 18014.4 |
| 408 | 2025-05-17 16:14:04 | setline | 3 | 134027 | 532 | 7.000 | 19146.7 |
| 407 | 2025-05-12 21:52:17 | setline | 1 | 69583 | 2 | 1.126 | 61796.6 |
| 406 | 2025-05-10 06:17:18 | setline | 1 | 69583 | 2 | 6.233 | 11163.6 |
| 405 | 2025-05-07 23:08:47 | setline | 1 | 69583 | 2 | 2.860 | 24329.7 |
| 404 | 2025-05-02 20:23:28 | setline | 2 | 107671 | 37 | 3.906 | 27565.5 |
| 403 | 2025-04-30 21:05:07 | setline | 2 | 107671 | 37 | 22.626 | 4758.7 |
| 402 | 2025-04-30 20:10:08 | setline | 3 | 134027 | 532 | 7.483 | 17910.9 |
| 401 | 2025-04-29 23:44:51 | setline | 3 | 134027 | 532 | 43.940 | 3050.2 |
| 400 | 2025-04-29 20:15:02 | setline | 3 | 134027 | 532 | 6.923 | 19359.7 |
| 399 | 2025-04-29 16:48:19 | setline | 1 | 69583 | 2 | 1.373 | 50679.5 |
| 398 | 2025-04-29 15:47:06 | setline | 2 | 107671 | 37 | 8.203 | 13125.8 |
| 397 | 2025-04-28 22:19:50 | setline | 3 | 134027 | 532 | 7.250 | 18486.5 |
| 396 | 2025-04-26 16:38:55 | setline | 1 | 69583 | 2 | 8.593 | 8097.6 |
| 395 | 2025-04-26 15:33:18 | setline | 2 | 107671 | 37 | 22.156 | 4859.7 |
| 394 | 2025-04-24 10:08:45 | setline | 2 | 107671 | 37 | 12.593 | 8550.1 |
| 393 | 2025-04-20 22:24:12 | setline | 1 | 69583 | 2 | 4.563 | 15249.4 |
| 392 | 2025-04-09 05:51:07 | setline | 1 | 69583 | 2 | 6.546 | 10629.9 |
| 391 | 2025-03-29 19:08:51 | setline | 1 | 69583 | 2 | 3.126 | 22259.4 |
| 390 | 2025-03-26 03:16:38 | setline | 1 | 69583 | 2 | 2.703 | 25742.9 |
| 389 | 2025-03-23 00:01:07 | setline | 3 | 134027 | 532 | 22.343 | 5998.6 |
| 388 | 2025-03-22 17:12:07 | setline | 3 | 134027 | 532 | 29.313 | 4572.3 |
| 387 | 2025-03-22 16:13:22 | setline | 2 | 107671 | 37 | 10.906 | 9872.6 |
| 386 | 2025-03-22 06:05:33 | setline | 3 | 134027 | 532 | 35.160 | 3811.9 |
| 385 | 2025-03-20 18:23:31 | setline | 1 | 69583 | 2 | 7.936 | 8768.0 |
| 384 | 2025-03-19 22:54:39 | setline | 3 | 134027 | 532 | 30.250 | 4430.6 |
| 383 | 2025-03-19 22:33:32 | setline | 1 | 69583 | 2 | 7.220 | 9637.5 |
| 382 | 2025-03-09 18:47:40 | setline | 1 | 69583 | 2 | 4.200 | 16567.4 |
| 381 | 2025-03-03 15:45:38 | setline | 3 | 134027 | 532 | 69.423 | 1930.6 |