History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"casualty"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
508 | 2025-08-25 20:10:15 | casualty | 1 | 82945 | 2 | 1.576 | 52630.1 |
507 | 2025-08-10 15:32:28 | casualty | 1 | 82945 | 2 | 3.436 | 24140.0 |
506 | 2025-08-09 09:30:11 | casualty | 3 | 146162 | 45 | 12.093 | 12086.5 |
505 | 2025-07-23 07:50:57 | casualty | 1 | 82945 | 2 | 3.500 | 23698.6 |
504 | 2025-07-23 00:39:01 | casualty | 1 | 82945 | 2 | 4.640 | 17876.1 |
503 | 2025-07-19 10:54:59 | casualty | 1 | 82945 | 2 | 2.873 | 28870.5 |
502 | 2025-07-19 02:20:18 | casualty | 1 | 82945 | 2 | 1.503 | 55186.3 |
501 | 2025-07-16 12:41:07 | casualty | 4 | 161609 | 491 | 53.283 | 3033.0 |
500 | 2025-07-14 05:43:47 | casualty | 4 | 161609 | 491 | 59.643 | 2709.6 |
499 | 2025-07-13 16:09:36 | casualty | 1 | 82945 | 2 | 5.173 | 16034.2 |
498 | 2025-07-13 01:48:13 | casualty | 1 | 82945 | 2 | 1.563 | 53067.8 |
497 | 2025-07-12 23:53:52 | casualty | 1 | 82945 | 2 | 2.983 | 27805.9 |
496 | 2025-07-11 03:29:50 | casualty | 1 | 82945 | 2 | 7.280 | 11393.5 |
495 | 2025-07-05 02:37:50 | casualty | 2 | 121059 | 6 | 23.190 | 5220.3 |
494 | 2025-07-04 07:56:31 | casualty | 1 | 82945 | 2 | 6.923 | 11981.1 |
493 | 2025-07-03 20:52:06 | casualty | 3 | 146162 | 45 | 8.170 | 17890.1 |
492 | 2025-07-02 18:49:51 | casualty | 3 | 146162 | 45 | 28.973 | 5044.8 |
491 | 2025-07-02 13:37:39 | casualty | 3 | 146162 | 45 | 43.670 | 3347.0 |
490 | 2025-06-30 15:34:23 | casualty | 3 | 146162 | 45 | 39.360 | 3713.5 |
489 | 2025-06-28 07:32:56 | casualty | 3 | 146162 | 45 | 38.333 | 3813.0 |
488 | 2025-06-28 07:06:18 | casualty | 3 | 146162 | 45 | 50.876 | 2872.9 |
487 | 2025-06-28 00:08:25 | casualty | 1 | 82945 | 2 | 11.203 | 7403.8 |
486 | 2025-06-27 21:52:44 | casualty | 2 | 121059 | 6 | 12.393 | 9768.3 |
485 | 2025-06-27 15:09:47 | casualty | 1 | 82945 | 2 | 6.826 | 12151.3 |
484 | 2025-06-20 06:16:58 | casualty | 1 | 82945 | 2 | 10.906 | 7605.4 |
483 | 2025-06-10 00:52:28 | casualty | 1 | 82945 | 2 | 7.436 | 11154.5 |
482 | 2025-06-08 18:21:37 | casualty | 1 | 82945 | 2 | 7.376 | 11245.3 |
481 | 2025-06-03 23:47:08 | casualty | 1 | 82945 | 2 | 8.860 | 9361.7 |
480 | 2025-05-29 02:01:18 | casualty | 1 | 82945 | 2 | 3.563 | 23279.5 |
479 | 2025-05-23 01:14:32 | casualty | 1 | 82945 | 2 | 1.500 | 55296.7 |
478 | 2025-05-03 18:04:32 | casualty | 1 | 82945 | 2 | 1.390 | 59672.7 |
477 | 2025-05-02 14:58:27 | casualty | 1 | 82945 | 2 | 3.766 | 22024.7 |
476 | 2025-04-26 05:02:21 | casualty | 1 | 82945 | 2 | 8.313 | 9977.7 |
475 | 2025-04-23 00:22:14 | casualty | 1 | 82945 | 2 | 3.910 | 21213.6 |
474 | 2025-04-21 15:37:31 | casualty | 1 | 82945 | 2 | 4.686 | 17700.6 |
473 | 2025-04-19 13:04:42 | casualty | 1 | 82945 | 2 | 1.500 | 55296.7 |
472 | 2025-04-19 05:43:00 | casualty | 3 | 146162 | 45 | 7.986 | 18302.3 |
471 | 2025-04-05 23:31:06 | casualty | 1 | 82945 | 2 | 3.686 | 22502.7 |
470 | 2025-03-31 03:54:52 | casualty | 2 | 121059 | 6 | 19.546 | 6193.5 |
469 | 2025-03-30 06:14:30 | casualty | 2 | 121059 | 6 | 3.593 | 33693.0 |
468 | 2025-03-24 16:09:51 | casualty | 3 | 146162 | 45 | 12.626 | 11576.3 |
467 | 2025-03-22 07:34:32 | casualty | 3 | 146162 | 45 | 51.223 | 2853.4 |
466 | 2025-03-21 21:08:05 | casualty | 2 | 121059 | 6 | 3.766 | 32145.2 |
465 | 2025-03-21 17:35:49 | casualty | 1 | 82945 | 2 | 5.050 | 16424.8 |
464 | 2025-03-21 16:28:40 | casualty | 3 | 146162 | 45 | 51.220 | 2853.6 |
463 | 2025-03-20 22:41:10 | casualty | 2 | 121059 | 6 | 17.093 | 7082.4 |
462 | 2025-03-19 17:55:38 | casualty | 1 | 82945 | 2 | 3.170 | 26165.6 |
461 | 2025-03-09 05:41:07 | casualty | 1 | 82945 | 2 | 7.013 | 11827.3 |
460 | 2025-02-26 05:00:47 | casualty | 1 | 82945 | 2 | 5.170 | 16043.5 |
459 | 2025-02-25 22:20:57 | casualty | 3 | 146162 | 45 | 44.393 | 3292.5 |
458 | 2025-02-25 20:00:59 | casualty | 3 | 146162 | 45 | 37.470 | 3900.8 |
457 | 2025-02-25 20:00:56 | casualty | 3 | 146162 | 45 | 38.266 | 3819.6 |
456 | 2025-02-25 20:01:02 | casualty | 2 | 121059 | 6 | 22.716 | 5329.2 |
455 | 2025-02-23 23:46:49 | casualty | 1 | 82945 | 2 | 4.376 | 18954.5 |
454 | 2025-02-23 18:58:05 | casualty | 1 | 82945 | 2 | 4.936 | 16804.1 |
453 | 2025-02-05 15:22:54 | casualty | 3 | 146162 | 45 | 37.923 | 3854.2 |
452 | 2025-02-05 15:22:57 | casualty | 2 | 121059 | 6 | 16.046 | 7544.5 |
451 | 2025-02-01 04:08:51 | casualty | 1 | 82945 | 2 | 7.216 | 11494.6 |
450 | 2025-01-24 13:05:11 | casualty | 3 | 146162 | 45 | 38.470 | 3799.4 |
449 | 2025-01-23 18:48:20 | casualty | 3 | 146162 | 45 | 39.546 | 3696.0 |
448 | 2025-01-23 07:50:48 | casualty | 3 | 146162 | 45 | 30.456 | 4799.1 |
447 | 2025-01-20 09:30:50 | casualty | 3 | 146162 | 45 | 44.490 | 3285.3 |
446 | 2025-01-19 11:50:29 | casualty | 3 | 146162 | 45 | 31.343 | 4663.3 |
445 | 2025-01-19 11:50:28 | casualty | 2 | 121059 | 6 | 17.173 | 7049.4 |
444 | 2025-01-19 11:49:38 | casualty | 1 | 82945 | 2 | 6.703 | 12374.3 |
443 | 2025-01-13 09:18:51 | casualty | 2 | 121059 | 6 | 18.920 | 6398.5 |
442 | 2025-01-13 09:18:43 | casualty | 1 | 82945 | 2 | 8.703 | 9530.6 |
441 | 2025-01-12 14:03:43 | casualty | 2 | 121059 | 6 | 15.686 | 7717.6 |
440 | 2025-01-12 14:03:35 | casualty | 1 | 82945 | 2 | 3.500 | 23698.6 |
439 | 2024-12-17 23:00:59 | casualty | 3 | 146162 | 45 | 39.550 | 3695.6 |
438 | 2024-12-17 17:49:26 | casualty | 3 | 146162 | 45 | 9.283 | 15745.1 |
437 | 2024-12-14 13:24:41 | casualty | 3 | 146162 | 45 | 37.046 | 3945.4 |
436 | 2024-12-13 21:49:55 | casualty | 3 | 146162 | 45 | 35.173 | 4155.5 |
435 | 2024-12-13 17:46:58 | casualty | 3 | 146162 | 45 | 39.736 | 3678.3 |
434 | 2024-12-13 17:33:11 | casualty | 3 | 146162 | 45 | 38.143 | 3831.9 |
433 | 2024-12-13 17:32:33 | casualty | 4 | 161609 | 491 | 67.723 | 2386.3 |
432 | 2024-12-13 17:33:11 | casualty | 2 | 121059 | 6 | 18.390 | 6582.9 |
431 | 2024-12-13 17:32:24 | casualty | 1 | 82945 | 2 | 2.483 | 33405.2 |
430 | 2024-12-05 22:50:12 | casualty | 1 | 82945 | 2 | 3.690 | 22478.3 |
429 | 2024-11-24 11:18:10 | casualty | 1 | 82945 | 2 | 2.640 | 31418.6 |
428 | 2024-11-11 19:36:21 | casualty | 1 | 82945 | 2 | 3.200 | 25920.3 |
427 | 2024-11-10 18:20:12 | casualty | 2 | 121059 | 6 | 21.080 | 5742.8 |
426 | 2024-11-10 16:31:54 | casualty | 1 | 82945 | 2 | 7.093 | 11693.9 |
425 | 2024-11-03 22:52:13 | casualty | 3 | 146162 | 45 | 17.156 | 8519.6 |
424 | 2024-11-03 19:52:46 | casualty | 3 | 146162 | 45 | 33.876 | 4314.6 |
423 | 2024-11-03 16:07:47 | casualty | 1 | 82945 | 2 | 8.033 | 10325.5 |
422 | 2024-11-03 16:04:41 | casualty | 2 | 121059 | 6 | 21.146 | 5724.9 |
421 | 2024-11-03 16:03:43 | casualty | 3 | 146162 | 45 | 7.890 | 18525.0 |
420 | 2024-11-03 14:50:39 | casualty | 4 | 161609 | 491 | 49.923 | 3237.2 |
419 | 2024-11-01 00:23:01 | casualty | 4 | 161609 | 491 | 53.610 | 3014.5 |
418 | 2024-10-31 11:18:50 | casualty | 4 | 161609 | 491 | 79.203 | 2040.4 |
417 | 2024-10-30 21:54:31 | casualty | 4 | 161609 | 491 | 13.406 | 12055.0 |
416 | 2024-10-30 21:54:33 | casualty | 3 | 146162 | 45 | 8.063 | 18127.5 |
415 | 2024-10-30 21:54:32 | casualty | 2 | 121059 | 6 | 4.063 | 29795.5 |
414 | 2024-10-15 23:29:04 | casualty | 1 | 82945 | 2 | 6.233 | 13307.4 |
413 | 2024-10-11 04:30:44 | casualty | 1 | 82945 | 2 | 3.626 | 22875.1 |
412 | 2024-10-06 12:24:29 | casualty | 1 | 82945 | 2 | 16.516 | 5022.1 |
411 | 2024-10-03 13:34:11 | casualty | 1 | 82945 | 2 | 10.500 | 7899.5 |
410 | 2024-07-31 03:01:35 | casualty | 3 | 146162 | 45 | 10.173 | 14367.6 |
409 | 2024-07-30 16:58:01 | casualty | 3 | 146162 | 45 | 20.156 | 7251.5 |