History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"scattiest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
591 | 2025-08-04 12:44:07 | scattiest | 1 | 81242 | 3 | 3.156 | 25742.1 |
590 | 2025-08-01 12:03:41 | scattiest | 1 | 81242 | 3 | 3.703 | 21939.5 |
589 | 2025-07-31 00:50:31 | scattiest | 2 | 121436 | 29 | 4.000 | 30359.0 |
588 | 2025-07-26 22:56:42 | scattiest | 1 | 81242 | 3 | 6.033 | 13466.3 |
587 | 2025-07-26 19:02:08 | scattiest | 1 | 81242 | 3 | 5.830 | 13935.2 |
586 | 2025-07-21 06:20:31 | scattiest | 1 | 81242 | 3 | 1.423 | 57092.1 |
585 | 2025-07-18 16:25:48 | scattiest | 1 | 81242 | 3 | 9.923 | 8187.2 |
584 | 2025-07-15 18:14:24 | scattiest | 1 | 81242 | 3 | 1.513 | 53696.0 |
583 | 2025-07-15 07:35:04 | scattiest | 1 | 81242 | 3 | 3.500 | 23212.0 |
582 | 2025-07-11 14:03:16 | scattiest | 2 | 121436 | 29 | 23.610 | 5143.4 |
581 | 2025-07-04 11:28:23 | scattiest | 1 | 81242 | 3 | 6.390 | 12713.9 |
580 | 2025-07-04 05:21:59 | scattiest | 3 | 148641 | 169 | 24.190 | 6144.7 |
579 | 2025-07-04 01:03:05 | scattiest | 2 | 121436 | 29 | 17.733 | 6848.0 |
578 | 2025-07-03 09:58:15 | scattiest | 3 | 148641 | 169 | 19.843 | 7490.9 |
577 | 2025-06-30 15:28:37 | scattiest | 2 | 121436 | 29 | 13.843 | 8772.4 |
576 | 2025-06-29 20:58:53 | scattiest | 3 | 148641 | 169 | 30.516 | 4870.9 |
575 | 2025-06-29 11:47:49 | scattiest | 1 | 81242 | 3 | 2.580 | 31489.1 |
574 | 2025-06-25 21:45:19 | scattiest | 1 | 81242 | 3 | 4.076 | 19931.8 |
573 | 2025-06-16 13:59:22 | scattiest | 1 | 81242 | 3 | 4.563 | 17804.5 |
572 | 2025-06-14 07:29:15 | scattiest | 1 | 81242 | 3 | 5.936 | 13686.3 |
571 | 2025-06-05 07:18:51 | scattiest | 1 | 81242 | 3 | 3.606 | 22529.7 |
570 | 2025-06-04 10:16:40 | scattiest | 1 | 81242 | 3 | 4.140 | 19623.7 |
569 | 2025-05-26 11:43:46 | scattiest | 1 | 81242 | 3 | 7.143 | 11373.7 |
568 | 2025-05-25 22:06:25 | scattiest | 1 | 81242 | 3 | 7.906 | 10276.0 |
567 | 2025-05-23 16:53:25 | scattiest | 2 | 121436 | 29 | 17.313 | 7014.2 |
566 | 2025-05-21 05:26:09 | scattiest | 2 | 121436 | 29 | 15.546 | 7811.4 |
565 | 2025-05-19 17:26:50 | scattiest | 2 | 121436 | 29 | 4.766 | 25479.6 |
564 | 2025-05-18 17:12:35 | scattiest | 1 | 81242 | 3 | 7.253 | 11201.2 |
563 | 2025-05-08 19:02:26 | scattiest | 2 | 121436 | 29 | 18.186 | 6677.4 |
562 | 2025-05-08 10:36:38 | scattiest | 2 | 121436 | 29 | 18.910 | 6421.8 |
561 | 2025-05-06 00:42:03 | scattiest | 2 | 121436 | 29 | 35.330 | 3437.2 |
560 | 2025-05-04 10:59:53 | scattiest | 1 | 81242 | 3 | 9.516 | 8537.4 |
559 | 2025-05-03 18:33:19 | scattiest | 2 | 121436 | 29 | 3.826 | 31739.7 |
558 | 2025-04-26 14:40:24 | scattiest | 1 | 81242 | 3 | 6.970 | 11656.0 |
557 | 2025-04-25 21:08:07 | scattiest | 3 | 148641 | 169 | 47.473 | 3131.1 |
556 | 2025-04-25 13:53:22 | scattiest | 1 | 81242 | 3 | 3.220 | 25230.4 |
555 | 2025-04-23 21:09:00 | scattiest | 3 | 148641 | 169 | 33.720 | 4408.1 |
554 | 2025-04-23 11:14:43 | scattiest | 1 | 81242 | 3 | 6.813 | 11924.6 |
553 | 2025-04-23 08:34:35 | scattiest | 3 | 148641 | 169 | 37.220 | 3993.6 |
552 | 2025-04-22 20:42:17 | scattiest | 1 | 81242 | 3 | 7.580 | 10717.9 |
551 | 2025-04-22 03:49:33 | scattiest | 3 | 148641 | 169 | 34.656 | 4289.0 |
550 | 2025-04-11 06:51:10 | scattiest | 1 | 81242 | 3 | 9.810 | 8281.5 |
549 | 2025-04-04 09:58:21 | scattiest | 1 | 81242 | 3 | 4.296 | 18911.1 |
548 | 2025-04-03 09:16:00 | scattiest | 1 | 81242 | 3 | 1.420 | 57212.7 |
547 | 2025-03-25 15:34:07 | scattiest | 1 | 81242 | 3 | 10.110 | 8035.8 |
546 | 2025-03-23 16:12:00 | scattiest | 1 | 81242 | 3 | 10.283 | 7900.6 |
545 | 2025-03-21 21:22:03 | scattiest | 1 | 81242 | 3 | 4.733 | 17165.0 |
544 | 2025-03-21 21:18:47 | scattiest | 3 | 148641 | 169 | 37.906 | 3921.3 |
543 | 2025-03-17 10:06:07 | scattiest | 3 | 148641 | 169 | 23.546 | 6312.8 |
542 | 2025-03-16 07:10:39 | scattiest | 3 | 148641 | 169 | 23.080 | 6440.3 |
541 | 2025-03-10 18:16:39 | scattiest | 3 | 148641 | 169 | 37.863 | 3925.8 |
540 | 2025-03-10 18:16:33 | scattiest | 2 | 121436 | 29 | 11.940 | 10170.5 |
539 | 2025-03-10 18:00:09 | scattiest | 1 | 81242 | 3 | 5.236 | 15516.0 |
538 | 2025-03-02 03:15:14 | scattiest | 2 | 121436 | 29 | 16.470 | 7373.2 |
537 | 2025-03-02 01:56:55 | scattiest | 1 | 81242 | 3 | 5.266 | 15427.6 |
536 | 2025-03-01 08:49:23 | scattiest | 3 | 148641 | 169 | 31.986 | 4647.1 |
535 | 2025-02-28 16:38:18 | scattiest | 3 | 148641 | 169 | 35.783 | 4154.0 |
534 | 2025-02-28 06:43:36 | scattiest | 3 | 148641 | 169 | 18.533 | 8020.3 |
533 | 2025-02-23 14:20:54 | scattiest | 3 | 148641 | 169 | 27.706 | 5364.9 |
532 | 2025-02-01 03:33:49 | scattiest | 2 | 121436 | 29 | 20.796 | 5839.4 |
531 | 2025-02-01 02:17:45 | scattiest | 1 | 81242 | 3 | 3.143 | 25848.6 |
530 | 2025-01-29 06:16:34 | scattiest | 3 | 148641 | 169 | 28.626 | 5192.5 |
529 | 2025-01-28 09:03:45 | scattiest | 3 | 148641 | 169 | 33.516 | 4434.9 |
528 | 2025-01-27 20:19:17 | scattiest | 1 | 81242 | 3 | 6.326 | 12842.6 |
527 | 2025-01-27 17:10:55 | scattiest | 3 | 148641 | 169 | 32.566 | 4564.3 |
526 | 2025-01-27 17:10:57 | scattiest | 2 | 121436 | 29 | 16.706 | 7269.0 |
525 | 2025-01-27 15:24:45 | scattiest | 1 | 81242 | 3 | 1.453 | 55913.3 |
524 | 2025-01-26 16:40:16 | scattiest | 1 | 81242 | 3 | 4.360 | 18633.5 |
523 | 2024-12-27 01:50:04 | scattiest | 1 | 81242 | 3 | 1.420 | 57212.7 |
522 | 2024-12-24 14:52:33 | scattiest | 2 | 121436 | 29 | 17.223 | 7050.8 |
521 | 2024-12-23 12:59:13 | scattiest | 3 | 148641 | 169 | 33.206 | 4476.3 |
520 | 2024-12-21 10:10:34 | scattiest | 1 | 81242 | 3 | 5.093 | 15951.7 |
519 | 2024-12-21 05:27:32 | scattiest | 3 | 148641 | 169 | 36.566 | 4065.0 |
518 | 2024-12-21 05:26:40 | scattiest | 2 | 121436 | 29 | 17.346 | 7000.8 |
517 | 2024-12-20 06:12:32 | scattiest | 3 | 148641 | 169 | 31.953 | 4651.9 |
516 | 2024-12-20 06:12:33 | scattiest | 2 | 121436 | 29 | 14.720 | 8249.7 |
515 | 2024-12-20 04:54:21 | scattiest | 1 | 81242 | 3 | 1.546 | 52549.8 |
514 | 2024-12-10 02:48:38 | scattiest | 1 | 81242 | 3 | 7.686 | 10570.1 |
513 | 2024-11-25 13:07:46 | scattiest | 1 | 81242 | 3 | 1.373 | 59171.2 |
512 | 2024-11-23 06:07:29 | scattiest | 2 | 121436 | 29 | 16.283 | 7457.8 |
511 | 2024-11-22 08:48:50 | scattiest | 2 | 121436 | 29 | 16.986 | 7149.2 |
510 | 2024-11-21 02:12:11 | scattiest | 3 | 148641 | 169 | 38.253 | 3885.7 |
509 | 2024-11-21 02:12:17 | scattiest | 2 | 121436 | 29 | 14.110 | 8606.4 |
508 | 2024-11-20 00:09:13 | scattiest | 2 | 121436 | 29 | 14.500 | 8374.9 |
507 | 2024-11-19 23:58:35 | scattiest | 1 | 81242 | 3 | 1.466 | 55417.5 |
506 | 2024-11-19 16:11:58 | scattiest | 1 | 81242 | 3 | 10.546 | 7703.6 |
505 | 2024-11-18 18:36:21 | scattiest | 3 | 148641 | 169 | 18.423 | 8068.2 |
504 | 2024-11-17 08:21:33 | scattiest | 3 | 148641 | 169 | 58.533 | 2539.4 |
503 | 2024-11-15 19:31:02 | scattiest | 3 | 148641 | 169 | 37.456 | 3968.4 |
502 | 2024-11-09 02:36:47 | scattiest | 1 | 81242 | 3 | 3.390 | 23965.2 |
501 | 2024-10-23 15:33:32 | scattiest | 1 | 81242 | 3 | 4.236 | 19178.9 |
500 | 2024-10-23 02:26:57 | scattiest | 3 | 148641 | 169 | 46.970 | 3164.6 |
499 | 2024-10-19 17:08:11 | scattiest | 3 | 148641 | 169 | 48.003 | 3096.5 |
498 | 2024-10-19 17:08:19 | scattiest | 2 | 121436 | 29 | 18.910 | 6421.8 |
497 | 2024-10-19 17:06:36 | scattiest | 1 | 81242 | 3 | 3.593 | 22611.2 |
496 | 2024-10-17 12:58:19 | scattiest | 3 | 148641 | 169 | 35.143 | 4229.6 |
495 | 2024-10-17 08:59:48 | scattiest | 2 | 121436 | 29 | 10.563 | 11496.4 |
494 | 2024-10-17 08:59:39 | scattiest | 3 | 148641 | 169 | 18.626 | 7980.3 |
493 | 2024-10-17 08:51:16 | scattiest | 1 | 81242 | 3 | 2.470 | 32891.5 |
492 | 2024-10-15 12:19:24 | scattiest | 1 | 81242 | 3 | 5.483 | 14817.1 |