History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"brevetted"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
664 | 2025-08-27 19:29:44 | brevetted | 1 | 81242 | 3 | 2.686 | 30246.5 |
663 | 2025-08-27 02:31:32 | brevetted | 1 | 81242 | 3 | 1.640 | 49537.8 |
662 | 2025-08-26 21:49:45 | brevetted | 1 | 81242 | 3 | 1.483 | 54782.2 |
661 | 2025-08-12 06:31:16 | brevetted | 1 | 81242 | 3 | 3.310 | 24544.4 |
660 | 2025-07-26 00:49:50 | brevetted | 1 | 81242 | 3 | 3.923 | 20709.2 |
659 | 2025-07-25 02:52:49 | brevetted | 1 | 81242 | 3 | 3.796 | 21402.0 |
658 | 2025-07-23 06:50:50 | brevetted | 1 | 81242 | 3 | 9.673 | 8398.8 |
657 | 2025-07-22 11:33:59 | brevetted | 1 | 81242 | 3 | 4.923 | 16502.5 |
656 | 2025-07-17 15:41:18 | brevetted | 1 | 81242 | 3 | 3.220 | 25230.4 |
655 | 2025-07-16 21:40:20 | brevetted | 1 | 81242 | 3 | 5.826 | 13944.7 |
654 | 2025-07-12 06:20:55 | brevetted | 3 | 148641 | 85 | 13.080 | 11364.0 |
653 | 2025-07-11 07:15:41 | brevetted | 3 | 148641 | 85 | 40.503 | 3669.9 |
652 | 2025-07-10 10:39:16 | brevetted | 1 | 81242 | 3 | 1.393 | 58321.6 |
651 | 2025-06-24 02:33:12 | brevetted | 1 | 81242 | 3 | 7.326 | 11089.5 |
650 | 2025-06-23 23:32:28 | brevetted | 1 | 81242 | 3 | 7.640 | 10633.8 |
649 | 2025-06-17 22:16:40 | brevetted | 1 | 81242 | 3 | 7.093 | 11453.8 |
648 | 2025-06-15 20:37:05 | brevetted | 1 | 81242 | 3 | 4.610 | 17623.0 |
647 | 2025-06-13 14:15:00 | brevetted | 1 | 81242 | 3 | 1.280 | 63470.3 |
646 | 2025-06-10 07:31:31 | brevetted | 1 | 81242 | 3 | 7.233 | 11232.1 |
645 | 2025-06-06 16:19:49 | brevetted | 1 | 81242 | 3 | 6.720 | 12089.6 |
644 | 2025-05-26 16:24:27 | brevetted | 3 | 148641 | 85 | 52.106 | 2852.7 |
643 | 2025-05-24 12:22:17 | brevetted | 3 | 148641 | 85 | 44.016 | 3377.0 |
642 | 2025-05-24 02:30:50 | brevetted | 1 | 81242 | 3 | 4.953 | 16402.6 |
641 | 2025-05-21 20:43:44 | brevetted | 3 | 148641 | 85 | 30.750 | 4833.9 |
640 | 2025-05-18 10:08:45 | brevetted | 3 | 148641 | 85 | 33.500 | 4437.0 |
639 | 2025-05-16 10:17:13 | brevetted | 3 | 148641 | 85 | 41.096 | 3616.9 |
638 | 2025-05-15 00:45:11 | brevetted | 3 | 148641 | 85 | 30.783 | 4828.7 |
637 | 2025-05-14 22:06:24 | brevetted | 1 | 81242 | 3 | 3.343 | 24302.1 |
636 | 2025-05-14 20:56:52 | brevetted | 1 | 81242 | 3 | 1.330 | 61084.2 |
635 | 2025-05-12 22:48:56 | brevetted | 3 | 148641 | 85 | 34.960 | 4251.7 |
634 | 2025-05-03 23:33:33 | brevetted | 1 | 81242 | 3 | 4.810 | 16890.2 |
633 | 2025-04-30 16:29:20 | brevetted | 1 | 81242 | 3 | 4.063 | 19995.6 |
632 | 2025-04-28 07:26:56 | brevetted | 3 | 148641 | 85 | 41.376 | 3592.4 |
631 | 2025-04-28 02:18:48 | brevetted | 3 | 148641 | 85 | 51.653 | 2877.7 |
630 | 2025-04-26 16:02:58 | brevetted | 3 | 148641 | 85 | 37.110 | 4005.4 |
629 | 2025-04-24 01:22:58 | brevetted | 3 | 148641 | 85 | 46.063 | 3226.9 |
628 | 2025-04-23 04:56:03 | brevetted | 4 | 165329 | 614 | 67.613 | 2445.2 |
627 | 2025-04-23 02:19:51 | brevetted | 1 | 81242 | 3 | 3.470 | 23412.7 |
626 | 2025-04-20 21:42:50 | brevetted | 4 | 165329 | 614 | 53.486 | 3091.1 |
625 | 2025-04-18 04:48:55 | brevetted | 4 | 165329 | 614 | 55.093 | 3000.9 |
624 | 2025-04-18 01:32:10 | brevetted | 4 | 165329 | 614 | 56.333 | 2934.9 |
623 | 2025-04-18 00:35:10 | brevetted | 4 | 165329 | 614 | 46.846 | 3529.2 |
622 | 2025-04-16 13:13:15 | brevetted | 4 | 165329 | 614 | 50.600 | 3267.4 |
621 | 2025-04-16 01:22:51 | brevetted | 2 | 121436 | 8 | 18.343 | 6620.3 |
620 | 2025-04-15 09:31:23 | brevetted | 3 | 148641 | 85 | 7.423 | 20024.4 |
619 | 2025-04-14 12:18:52 | brevetted | 3 | 148641 | 85 | 38.626 | 3848.2 |
618 | 2025-04-13 22:29:26 | brevetted | 1 | 81242 | 3 | 4.920 | 16512.6 |
617 | 2025-04-13 20:40:19 | brevetted | 1 | 81242 | 3 | 8.180 | 9931.8 |
616 | 2025-04-12 02:34:41 | brevetted | 3 | 148641 | 85 | 26.436 | 5622.7 |
615 | 2025-04-03 22:37:36 | brevetted | 1 | 81242 | 3 | 6.703 | 12120.2 |
614 | 2025-03-27 09:47:01 | brevetted | 3 | 148641 | 85 | 26.360 | 5638.9 |
613 | 2025-03-26 08:33:17 | brevetted | 1 | 81242 | 3 | 1.470 | 55266.7 |
612 | 2025-03-23 18:10:24 | brevetted | 3 | 148641 | 85 | 45.250 | 3284.9 |
611 | 2025-03-23 06:14:44 | brevetted | 3 | 148641 | 85 | 37.376 | 3976.9 |
610 | 2025-03-22 03:38:46 | brevetted | 1 | 81242 | 3 | 1.406 | 57782.4 |
609 | 2025-03-12 21:02:45 | brevetted | 3 | 148641 | 85 | 44.736 | 3322.6 |
608 | 2025-03-12 10:21:16 | brevetted | 3 | 148641 | 85 | 37.426 | 3971.6 |
607 | 2025-03-12 10:21:13 | brevetted | 2 | 121436 | 8 | 12.516 | 9702.5 |
606 | 2025-03-12 10:20:07 | brevetted | 1 | 81242 | 3 | 7.253 | 11201.2 |
605 | 2025-03-12 10:09:10 | brevetted | 3 | 148641 | 85 | 34.843 | 4266.0 |
604 | 2025-03-12 10:09:09 | brevetted | 2 | 121436 | 8 | 24.893 | 4878.3 |
603 | 2025-03-08 01:36:01 | brevetted | 1 | 81242 | 3 | 8.000 | 10155.3 |
602 | 2025-03-08 01:34:07 | brevetted | 3 | 148641 | 85 | 46.063 | 3226.9 |
601 | 2025-03-07 12:00:03 | brevetted | 3 | 148641 | 85 | 35.080 | 4237.2 |
600 | 2025-03-03 13:57:52 | brevetted | 3 | 148641 | 85 | 47.766 | 3111.9 |
599 | 2025-02-27 17:40:32 | brevetted | 1 | 81242 | 3 | 9.720 | 8358.2 |
598 | 2025-02-25 18:54:54 | brevetted | 1 | 81242 | 3 | 1.376 | 59042.2 |
597 | 2025-02-04 00:21:19 | brevetted | 1 | 81242 | 3 | 1.533 | 52995.4 |
596 | 2025-01-29 22:11:12 | brevetted | 3 | 148641 | 85 | 36.876 | 4030.8 |
595 | 2025-01-29 22:11:13 | brevetted | 2 | 121436 | 8 | 18.080 | 6716.6 |
594 | 2025-01-29 21:58:37 | brevetted | 1 | 81242 | 3 | 3.280 | 24768.9 |
593 | 2025-01-27 17:05:02 | brevetted | 3 | 148641 | 85 | 32.126 | 4626.8 |
592 | 2025-01-25 17:58:57 | brevetted | 1 | 81242 | 3 | 1.233 | 65889.7 |
591 | 2025-01-24 13:18:42 | brevetted | 2 | 121436 | 8 | 23.766 | 5109.7 |
590 | 2025-01-24 13:16:56 | brevetted | 3 | 148641 | 85 | 30.313 | 4903.5 |
589 | 2025-01-24 13:16:39 | brevetted | 1 | 81242 | 3 | 3.513 | 23126.1 |
588 | 2025-01-02 13:08:29 | brevetted | 1 | 81242 | 3 | 5.406 | 15028.1 |
587 | 2024-12-27 11:52:04 | brevetted | 1 | 81242 | 3 | 6.686 | 12151.1 |
586 | 2024-12-26 16:06:04 | brevetted | 1 | 81242 | 3 | 1.313 | 61875.1 |
585 | 2024-12-19 14:38:52 | brevetted | 1 | 81242 | 3 | 9.876 | 8226.2 |
584 | 2024-12-03 03:31:01 | brevetted | 2 | 121436 | 8 | 27.520 | 4412.6 |
583 | 2024-12-03 03:29:52 | brevetted | 1 | 81242 | 3 | 7.093 | 11453.8 |
582 | 2024-12-01 08:37:07 | brevetted | 3 | 148641 | 85 | 41.720 | 3562.8 |
581 | 2024-11-26 11:01:44 | brevetted | 1 | 81242 | 3 | 1.343 | 60492.9 |
580 | 2024-11-19 10:45:37 | brevetted | 2 | 121436 | 8 | 16.893 | 7188.5 |
579 | 2024-11-19 10:44:22 | brevetted | 1 | 81242 | 3 | 6.800 | 11947.4 |
578 | 2024-11-12 16:48:19 | brevetted | 3 | 148641 | 85 | 38.676 | 3843.2 |
577 | 2024-11-12 16:48:21 | brevetted | 2 | 121436 | 8 | 27.236 | 4458.7 |
576 | 2024-11-08 06:44:34 | brevetted | 1 | 81242 | 3 | 7.406 | 10969.8 |
575 | 2024-10-30 13:14:43 | brevetted | 1 | 81242 | 3 | 4.296 | 18911.1 |
574 | 2024-10-25 07:34:57 | brevetted | 3 | 148641 | 85 | 32.580 | 4562.3 |
573 | 2024-10-25 07:34:48 | brevetted | 2 | 121436 | 8 | 18.360 | 6614.2 |
572 | 2024-10-24 03:18:10 | brevetted | 3 | 148641 | 85 | 36.486 | 4073.9 |
571 | 2024-10-24 03:18:04 | brevetted | 3 | 148641 | 85 | 36.906 | 4027.6 |
570 | 2024-10-24 03:17:14 | brevetted | 2 | 121436 | 8 | 12.033 | 10091.9 |
569 | 2024-10-24 03:16:59 | brevetted | 1 | 81242 | 3 | 7.093 | 11453.8 |
568 | 2024-10-15 12:19:58 | brevetted | 1 | 81242 | 3 | 6.623 | 12266.6 |
567 | 2024-09-27 07:41:37 | brevetted | 1 | 81242 | 3 | 5.296 | 15340.3 |
566 | 2024-09-25 04:03:14 | brevetted | 2 | 121436 | 8 | 36.016 | 3371.7 |
565 | 2024-09-25 04:03:10 | brevetted | 3 | 148641 | 85 | 29.613 | 5019.5 |