History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bluntnesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
535 | 2025-07-20 01:41:05 | bluntnesses | 1 | 49908 | 1 | 0.813 | 61387.5 |
534 | 2025-07-10 07:37:25 | bluntnesses | 1 | 49908 | 1 | 4.173 | 11959.7 |
533 | 2025-07-04 17:15:43 | bluntnesses | 1 | 49908 | 1 | 4.203 | 11874.4 |
532 | 2025-06-27 15:23:45 | bluntnesses | 1 | 49908 | 1 | 3.690 | 13525.2 |
531 | 2025-06-21 22:57:59 | bluntnesses | 1 | 49908 | 1 | 3.936 | 12679.9 |
530 | 2025-06-17 03:43:37 | bluntnesses | 4 | 148819 | 361 | 31.613 | 4707.5 |
529 | 2025-06-16 16:09:15 | bluntnesses | 1 | 49908 | 1 | 3.953 | 12625.3 |
528 | 2025-06-15 05:36:07 | bluntnesses | 4 | 148819 | 361 | 9.876 | 15068.8 |
527 | 2025-06-12 21:02:54 | bluntnesses | 4 | 148819 | 361 | 41.053 | 3625.0 |
526 | 2025-06-12 10:24:02 | bluntnesses | 4 | 148819 | 361 | 56.413 | 2638.0 |
525 | 2025-06-11 23:00:38 | bluntnesses | 2 | 86808 | 10 | 9.530 | 9108.9 |
524 | 2025-06-11 19:50:22 | bluntnesses | 4 | 148819 | 361 | 19.530 | 7620.0 |
523 | 2025-06-11 11:22:02 | bluntnesses | 4 | 148819 | 361 | 45.486 | 3271.8 |
522 | 2025-06-11 00:34:35 | bluntnesses | 2 | 86808 | 10 | 12.390 | 7006.3 |
521 | 2025-06-10 20:30:28 | bluntnesses | 3 | 121633 | 64 | 10.326 | 11779.3 |
520 | 2025-06-10 08:58:39 | bluntnesses | 3 | 121633 | 64 | 35.283 | 3447.4 |
519 | 2025-06-10 08:06:30 | bluntnesses | 1 | 49908 | 1 | 4.076 | 12244.4 |
518 | 2025-06-09 23:40:56 | bluntnesses | 1 | 49908 | 1 | 2.280 | 21889.5 |
517 | 2025-06-08 10:14:05 | bluntnesses | 3 | 121633 | 64 | 21.766 | 5588.2 |
516 | 2025-06-06 10:51:47 | bluntnesses | 3 | 121633 | 64 | 22.176 | 5484.9 |
515 | 2025-06-04 16:46:46 | bluntnesses | 1 | 49908 | 1 | 4.950 | 10082.4 |
514 | 2025-06-04 10:48:40 | bluntnesses | 3 | 121633 | 64 | 32.783 | 3710.2 |
513 | 2025-06-01 19:03:49 | bluntnesses | 1 | 49908 | 1 | 0.876 | 56972.6 |
512 | 2025-05-31 09:42:44 | bluntnesses | 3 | 121633 | 64 | 14.266 | 8526.1 |
511 | 2025-05-31 07:59:54 | bluntnesses | 2 | 86808 | 10 | 6.876 | 12624.8 |
510 | 2025-05-28 08:24:29 | bluntnesses | 1 | 49908 | 1 | 0.830 | 60130.1 |
509 | 2025-05-21 10:03:51 | bluntnesses | 1 | 49908 | 1 | 3.826 | 13044.4 |
508 | 2025-05-20 09:26:33 | bluntnesses | 2 | 86808 | 10 | 10.606 | 8184.8 |
507 | 2025-05-18 22:42:21 | bluntnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
506 | 2025-05-09 14:29:11 | bluntnesses | 3 | 121633 | 64 | 5.373 | 22637.8 |
505 | 2025-05-09 00:50:08 | bluntnesses | 2 | 86808 | 10 | 7.576 | 11458.3 |
504 | 2025-05-07 02:08:29 | bluntnesses | 4 | 148819 | 361 | 9.890 | 15047.4 |
503 | 2025-05-06 08:50:41 | bluntnesses | 3 | 121633 | 64 | 25.080 | 4849.8 |
502 | 2025-05-06 06:44:04 | bluntnesses | 3 | 121633 | 64 | 25.780 | 4718.1 |
501 | 2025-05-06 01:38:46 | bluntnesses | 4 | 148819 | 361 | 38.283 | 3887.3 |
500 | 2025-05-05 17:06:08 | bluntnesses | 4 | 148819 | 361 | 45.393 | 3278.5 |
499 | 2025-05-04 20:50:22 | bluntnesses | 4 | 148819 | 361 | 22.690 | 6558.8 |
498 | 2025-05-04 17:26:58 | bluntnesses | 2 | 86808 | 10 | 11.596 | 7486.0 |
497 | 2025-05-04 17:07:27 | bluntnesses | 3 | 121633 | 64 | 16.426 | 7404.9 |
496 | 2025-05-04 10:35:35 | bluntnesses | 4 | 148819 | 361 | 48.130 | 3092.0 |
495 | 2025-05-04 09:59:44 | bluntnesses | 3 | 121633 | 64 | 17.170 | 7084.0 |
494 | 2025-05-04 00:13:05 | bluntnesses | 2 | 86808 | 10 | 6.330 | 13713.7 |
493 | 2025-05-03 23:51:41 | bluntnesses | 1 | 49908 | 1 | 4.513 | 11058.7 |
492 | 2025-05-03 19:25:21 | bluntnesses | 4 | 148819 | 361 | 12.266 | 12132.6 |
491 | 2025-05-03 15:52:44 | bluntnesses | 1 | 49908 | 1 | 0.780 | 63984.6 |
490 | 2025-05-02 16:04:14 | bluntnesses | 1 | 49908 | 1 | 5.263 | 9482.8 |
489 | 2025-04-13 23:05:00 | bluntnesses | 1 | 49908 | 1 | 2.123 | 23508.2 |
488 | 2025-03-30 23:54:47 | bluntnesses | 1 | 49908 | 1 | 3.750 | 13308.8 |
487 | 2025-03-29 18:46:51 | bluntnesses | 1 | 49908 | 1 | 2.890 | 17269.2 |
486 | 2025-03-20 16:56:42 | bluntnesses | 1 | 49908 | 1 | 6.046 | 8254.7 |
485 | 2025-03-12 14:38:51 | bluntnesses | 1 | 49908 | 1 | 1.670 | 29885.0 |
484 | 2025-03-04 13:41:44 | bluntnesses | 1 | 49908 | 1 | 3.470 | 14382.7 |
483 | 2025-03-02 11:29:38 | bluntnesses | 2 | 86808 | 10 | 11.156 | 7781.3 |
482 | 2025-03-02 11:27:51 | bluntnesses | 1 | 49908 | 1 | 1.843 | 27079.8 |
481 | 2025-03-02 08:49:39 | bluntnesses | 3 | 121633 | 64 | 23.736 | 5124.4 |
480 | 2025-03-01 10:59:42 | bluntnesses | 1 | 49908 | 1 | 3.953 | 12625.3 |
479 | 2025-03-01 09:45:49 | bluntnesses | 3 | 121633 | 64 | 24.063 | 5054.8 |
478 | 2025-03-01 09:45:48 | bluntnesses | 2 | 86808 | 10 | 9.063 | 9578.3 |
477 | 2025-03-01 00:35:06 | bluntnesses | 3 | 121633 | 64 | 28.313 | 4296.0 |
476 | 2025-02-28 17:21:24 | bluntnesses | 3 | 121633 | 64 | 24.720 | 4920.4 |
475 | 2025-02-28 17:21:22 | bluntnesses | 2 | 86808 | 10 | 6.123 | 14177.4 |
474 | 2025-02-28 17:21:11 | bluntnesses | 1 | 49908 | 1 | 2.703 | 18463.9 |
473 | 2025-02-23 06:57:11 | bluntnesses | 2 | 86808 | 10 | 8.033 | 10806.4 |
472 | 2025-02-22 15:20:25 | bluntnesses | 4 | 148819 | 361 | 47.470 | 3135.0 |
471 | 2025-02-21 21:42:39 | bluntnesses | 4 | 148819 | 361 | 53.676 | 2772.5 |
470 | 2025-02-21 11:31:50 | bluntnesses | 4 | 148819 | 361 | 56.113 | 2652.1 |
469 | 2025-02-21 10:16:41 | bluntnesses | 4 | 148819 | 361 | 47.466 | 3135.3 |
468 | 2025-02-21 10:16:34 | bluntnesses | 2 | 86808 | 10 | 11.420 | 7601.4 |
467 | 2025-02-21 10:12:50 | bluntnesses | 1 | 49908 | 1 | 1.420 | 35146.5 |
466 | 2025-02-11 14:33:41 | bluntnesses | 1 | 49908 | 1 | 3.236 | 15422.7 |
465 | 2025-01-24 12:57:18 | bluntnesses | 3 | 121633 | 64 | 19.406 | 6267.8 |
464 | 2025-01-23 18:59:14 | bluntnesses | 3 | 121633 | 64 | 14.830 | 8201.8 |
463 | 2025-01-23 09:01:52 | bluntnesses | 3 | 121633 | 64 | 25.330 | 4801.9 |
462 | 2025-01-23 09:01:47 | bluntnesses | 3 | 121633 | 64 | 26.953 | 4512.8 |
461 | 2025-01-23 09:02:01 | bluntnesses | 2 | 86808 | 10 | 11.373 | 7632.8 |
460 | 2025-01-23 08:57:47 | bluntnesses | 1 | 49908 | 1 | 4.346 | 11483.7 |
459 | 2025-01-19 07:48:53 | bluntnesses | 1 | 49908 | 1 | 2.106 | 23698.0 |
458 | 2025-01-01 23:31:57 | bluntnesses | 2 | 86808 | 10 | 17.343 | 5005.4 |
457 | 2025-01-01 23:28:22 | bluntnesses | 1 | 49908 | 1 | 2.766 | 18043.4 |
456 | 2024-12-29 16:19:35 | bluntnesses | 1 | 49908 | 1 | 5.890 | 8473.3 |
455 | 2024-12-22 21:05:13 | bluntnesses | 1 | 49908 | 1 | 0.830 | 60130.1 |
454 | 2024-12-10 11:33:40 | bluntnesses | 3 | 121633 | 64 | 31.643 | 3843.9 |
453 | 2024-12-10 06:31:57 | bluntnesses | 3 | 121633 | 64 | 33.376 | 3644.3 |
452 | 2024-12-10 06:32:01 | bluntnesses | 3 | 121633 | 64 | 21.966 | 5537.3 |
451 | 2024-12-10 06:31:57 | bluntnesses | 2 | 86808 | 10 | 5.670 | 15310.1 |
450 | 2024-12-10 06:29:57 | bluntnesses | 1 | 49908 | 1 | 3.923 | 12721.9 |
449 | 2024-11-24 08:16:26 | bluntnesses | 1 | 49908 | 1 | 4.016 | 12427.3 |
448 | 2024-11-11 01:17:21 | bluntnesses | 1 | 49908 | 1 | 4.373 | 11412.8 |
447 | 2024-11-10 23:24:49 | bluntnesses | 3 | 121633 | 64 | 30.220 | 4024.9 |
446 | 2024-11-10 02:38:31 | bluntnesses | 2 | 86808 | 10 | 11.486 | 7557.7 |
445 | 2024-11-07 00:10:43 | bluntnesses | 3 | 121633 | 64 | 24.846 | 4895.5 |
444 | 2024-11-06 15:44:09 | bluntnesses | 3 | 121633 | 64 | 29.253 | 4158.0 |
443 | 2024-11-06 15:44:15 | bluntnesses | 2 | 86808 | 10 | 10.080 | 8611.9 |
442 | 2024-11-06 15:43:52 | bluntnesses | 3 | 121633 | 64 | 25.863 | 4703.0 |
441 | 2024-11-06 15:39:21 | bluntnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
440 | 2024-10-18 15:19:36 | bluntnesses | 2 | 86808 | 10 | 13.586 | 6389.5 |
439 | 2024-10-18 15:16:58 | bluntnesses | 1 | 49908 | 1 | 2.203 | 22654.6 |
438 | 2024-10-13 18:46:29 | bluntnesses | 1 | 49908 | 1 | 2.873 | 17371.4 |
437 | 2024-10-05 15:17:38 | bluntnesses | 2 | 86808 | 10 | 8.343 | 10404.9 |
436 | 2024-10-05 15:14:50 | bluntnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |