History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"optimally"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
503 | 2025-08-19 21:05:41 | optimally | 2 | 121436 | 6 | 3.063 | 39646.1 |
502 | 2025-08-14 19:41:02 | optimally | 2 | 121436 | 6 | 9.470 | 12823.2 |
501 | 2025-08-14 13:52:42 | optimally | 2 | 121436 | 6 | 3.610 | 33638.8 |
500 | 2025-08-14 13:34:11 | optimally | 1 | 81242 | 2 | 1.233 | 65889.7 |
499 | 2025-08-11 19:30:44 | optimally | 2 | 121436 | 6 | 9.203 | 13195.3 |
498 | 2025-08-09 19:02:56 | optimally | 1 | 81242 | 2 | 4.046 | 20079.6 |
497 | 2025-08-09 13:10:53 | optimally | 1 | 81242 | 2 | 4.580 | 17738.4 |
496 | 2025-08-09 05:45:32 | optimally | 1 | 81242 | 2 | 5.156 | 15756.8 |
495 | 2025-08-04 03:39:36 | optimally | 1 | 81242 | 2 | 3.423 | 23734.2 |
494 | 2025-07-14 08:36:17 | optimally | 1 | 81242 | 2 | 8.186 | 9924.5 |
493 | 2025-07-11 18:03:53 | optimally | 2 | 121436 | 6 | 23.280 | 5216.3 |
492 | 2025-07-10 15:45:07 | optimally | 1 | 81242 | 2 | 6.033 | 13466.3 |
491 | 2025-07-09 18:10:29 | optimally | 1 | 81242 | 2 | 1.296 | 62686.7 |
490 | 2025-07-06 15:22:51 | optimally | 1 | 81242 | 2 | 1.250 | 64993.6 |
489 | 2025-07-02 07:54:59 | optimally | 1 | 81242 | 2 | 6.610 | 12290.8 |
488 | 2025-07-02 01:00:22 | optimally | 1 | 81242 | 2 | 3.483 | 23325.3 |
487 | 2025-06-29 13:09:12 | optimally | 1 | 81242 | 2 | 1.236 | 65729.8 |
486 | 2025-06-24 04:40:56 | optimally | 1 | 81242 | 2 | 6.656 | 12205.8 |
485 | 2025-06-14 21:15:49 | optimally | 1 | 81242 | 2 | 5.533 | 14683.2 |
484 | 2025-06-14 08:51:37 | optimally | 1 | 81242 | 2 | 4.860 | 16716.5 |
483 | 2025-06-11 21:29:37 | optimally | 1 | 81242 | 2 | 6.516 | 12468.1 |
482 | 2025-06-10 20:22:28 | optimally | 1 | 81242 | 2 | 1.420 | 57212.7 |
481 | 2025-06-06 16:51:35 | optimally | 1 | 81242 | 2 | 9.970 | 8148.6 |
480 | 2025-05-31 09:21:33 | optimally | 1 | 81242 | 2 | 6.500 | 12498.8 |
479 | 2025-05-29 11:35:49 | optimally | 1 | 81242 | 2 | 6.703 | 12120.2 |
478 | 2025-05-25 19:19:24 | optimally | 3 | 148641 | 33 | 29.563 | 5027.9 |
477 | 2025-05-22 17:24:07 | optimally | 3 | 148641 | 33 | 53.063 | 2801.2 |
476 | 2025-05-21 05:59:20 | optimally | 4 | 165329 | 246 | 33.000 | 5010.0 |
475 | 2025-05-21 05:26:47 | optimally | 1 | 81242 | 2 | 1.390 | 58447.5 |
474 | 2025-05-18 23:47:03 | optimally | 4 | 165329 | 246 | 35.550 | 4650.6 |
473 | 2025-05-18 10:10:17 | optimally | 4 | 165329 | 246 | 69.533 | 2377.7 |
472 | 2025-05-18 03:01:15 | optimally | 4 | 165329 | 246 | 49.253 | 3356.7 |
471 | 2025-05-16 22:33:07 | optimally | 4 | 165329 | 246 | 32.736 | 5050.4 |
470 | 2025-05-16 22:20:33 | optimally | 4 | 165329 | 246 | 48.913 | 3380.1 |
469 | 2025-05-15 20:13:41 | optimally | 4 | 165329 | 246 | 59.956 | 2757.5 |
468 | 2025-05-08 10:31:01 | optimally | 1 | 81242 | 2 | 6.203 | 13097.2 |
467 | 2025-05-02 08:37:58 | optimally | 1 | 81242 | 2 | 8.126 | 9997.8 |
466 | 2025-04-30 16:52:43 | optimally | 1 | 81242 | 2 | 9.983 | 8138.0 |
465 | 2025-04-29 02:22:06 | optimally | 1 | 81242 | 2 | 5.156 | 15756.8 |
464 | 2025-04-23 06:33:06 | optimally | 1 | 81242 | 2 | 6.686 | 12151.1 |
463 | 2025-04-16 07:54:09 | optimally | 1 | 81242 | 2 | 6.470 | 12556.7 |
462 | 2025-04-13 22:46:27 | optimally | 4 | 165329 | 246 | 76.940 | 2148.8 |
461 | 2025-04-12 14:47:58 | optimally | 2 | 121436 | 6 | 22.610 | 5370.9 |
460 | 2025-04-12 08:38:22 | optimally | 4 | 165329 | 246 | 67.800 | 2438.5 |
459 | 2025-04-10 18:56:45 | optimally | 3 | 148641 | 33 | 7.250 | 20502.2 |
458 | 2025-04-09 15:47:38 | optimally | 3 | 148641 | 33 | 59.643 | 2492.2 |
457 | 2025-04-08 22:46:54 | optimally | 3 | 148641 | 33 | 31.096 | 4780.1 |
456 | 2025-04-07 05:52:11 | optimally | 3 | 148641 | 33 | 37.940 | 3917.8 |
455 | 2025-04-06 14:56:54 | optimally | 2 | 121436 | 6 | 18.283 | 6642.0 |
454 | 2025-04-06 04:59:44 | optimally | 3 | 148641 | 33 | 37.640 | 3949.0 |
453 | 2025-04-05 19:52:55 | optimally | 4 | 165329 | 246 | 11.266 | 14675.0 |
452 | 2025-04-02 10:18:57 | optimally | 1 | 81242 | 2 | 7.593 | 10699.6 |
451 | 2025-03-20 08:01:48 | optimally | 1 | 81242 | 2 | 7.440 | 10919.6 |
450 | 2025-03-20 03:04:43 | optimally | 1 | 81242 | 2 | 3.296 | 24648.7 |
449 | 2025-03-03 02:09:58 | optimally | 1 | 81242 | 2 | 1.346 | 60358.1 |
448 | 2025-02-19 20:18:32 | optimally | 3 | 148641 | 33 | 22.986 | 6466.6 |
447 | 2025-02-15 06:09:00 | optimally | 1 | 81242 | 2 | 4.173 | 19468.5 |
446 | 2025-02-05 21:58:56 | optimally | 1 | 81242 | 2 | 4.720 | 17212.3 |
445 | 2025-02-01 15:14:29 | optimally | 3 | 148641 | 33 | 34.440 | 4315.9 |
444 | 2025-02-01 15:14:32 | optimally | 3 | 148641 | 33 | 30.846 | 4818.8 |
443 | 2025-02-01 15:14:35 | optimally | 2 | 121436 | 6 | 16.003 | 7588.3 |
442 | 2025-02-01 15:13:38 | optimally | 1 | 81242 | 2 | 5.623 | 14448.2 |
441 | 2025-01-29 21:37:53 | optimally | 2 | 121436 | 6 | 15.920 | 7627.9 |
440 | 2025-01-29 21:37:23 | optimally | 1 | 81242 | 2 | 2.950 | 27539.7 |
439 | 2025-01-29 21:35:13 | optimally | 3 | 148641 | 33 | 47.486 | 3130.2 |
438 | 2025-01-25 05:55:42 | optimally | 3 | 148641 | 33 | 41.440 | 3586.9 |
437 | 2025-01-20 00:32:52 | optimally | 3 | 148641 | 33 | 37.063 | 4010.5 |
436 | 2024-12-27 13:04:46 | optimally | 1 | 81242 | 2 | 9.830 | 8264.7 |
435 | 2024-12-25 18:35:06 | optimally | 3 | 148641 | 33 | 47.266 | 3144.8 |
434 | 2024-12-25 04:01:24 | optimally | 2 | 121436 | 6 | 8.953 | 13563.7 |
433 | 2024-12-25 04:01:14 | optimally | 1 | 81242 | 2 | 3.500 | 23212.0 |
432 | 2024-12-25 03:54:56 | optimally | 3 | 148641 | 33 | 40.410 | 3678.3 |
431 | 2024-12-25 03:54:50 | optimally | 3 | 148641 | 33 | 43.313 | 3431.8 |
430 | 2024-12-25 01:49:23 | optimally | 3 | 148641 | 33 | 30.463 | 4879.4 |
429 | 2024-12-24 17:57:53 | optimally | 4 | 165329 | 246 | 58.456 | 2828.3 |
428 | 2024-12-24 17:57:57 | optimally | 3 | 148641 | 33 | 36.110 | 4116.3 |
427 | 2024-12-24 17:58:00 | optimally | 2 | 121436 | 6 | 19.483 | 6232.9 |
426 | 2024-12-24 17:55:25 | optimally | 1 | 81242 | 2 | 2.860 | 28406.3 |
425 | 2024-12-07 23:54:00 | optimally | 3 | 148641 | 33 | 25.270 | 5882.1 |
424 | 2024-12-05 17:16:51 | optimally | 2 | 121436 | 6 | 17.173 | 7071.3 |
423 | 2024-12-05 17:16:31 | optimally | 3 | 148641 | 33 | 35.750 | 4157.8 |
422 | 2024-12-05 17:15:49 | optimally | 1 | 81242 | 2 | 1.390 | 58447.5 |
421 | 2024-11-24 21:34:26 | optimally | 3 | 148641 | 33 | 43.160 | 3444.0 |
420 | 2024-11-22 16:52:08 | optimally | 3 | 148641 | 33 | 41.003 | 3625.1 |
419 | 2024-11-22 01:12:29 | optimally | 3 | 148641 | 33 | 35.156 | 4228.0 |
418 | 2024-11-21 06:34:51 | optimally | 2 | 121436 | 6 | 25.860 | 4695.9 |
417 | 2024-11-21 06:34:48 | optimally | 3 | 148641 | 33 | 27.063 | 5492.4 |
416 | 2024-11-21 06:30:46 | optimally | 1 | 81242 | 2 | 1.220 | 66591.8 |
415 | 2024-11-20 06:24:15 | optimally | 1 | 81242 | 2 | 10.186 | 7975.8 |
414 | 2024-11-08 19:08:45 | optimally | 1 | 81242 | 2 | 1.310 | 62016.8 |
413 | 2024-10-29 05:48:09 | optimally | 3 | 148641 | 33 | 37.316 | 3983.3 |
412 | 2024-10-26 14:39:58 | optimally | 1 | 81242 | 2 | 5.503 | 14763.2 |
411 | 2024-10-20 06:55:23 | optimally | 3 | 148641 | 33 | 39.813 | 3733.5 |
410 | 2024-10-20 06:55:31 | optimally | 2 | 121436 | 6 | 16.610 | 7311.0 |
409 | 2024-10-20 06:55:00 | optimally | 3 | 148641 | 33 | 30.316 | 4903.1 |
408 | 2024-10-20 06:54:35 | optimally | 1 | 81242 | 2 | 6.953 | 11684.5 |
407 | 2024-10-20 04:27:18 | optimally | 3 | 148641 | 33 | 36.190 | 4107.2 |
406 | 2024-10-17 18:37:38 | optimally | 3 | 148641 | 33 | 33.923 | 4381.7 |
405 | 2024-10-17 18:37:40 | optimally | 2 | 121436 | 6 | 17.410 | 6975.1 |
404 | 2024-10-17 18:36:08 | optimally | 3 | 148641 | 33 | 33.766 | 4402.1 |