History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"collar"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
676 | 2025-09-11 06:24:13 | collar | 1 | 48755 | 5 | 0.890 | 54780.9 |
675 | 2025-09-09 18:34:57 | collar | 3 | 112716 | 670 | 5.453 | 20670.5 |
674 | 2025-09-07 23:30:30 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
673 | 2025-09-06 16:09:55 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
672 | 2025-09-04 16:30:51 | collar | 1 | 48755 | 5 | 0.890 | 54780.9 |
671 | 2025-09-04 04:45:42 | collar | 1 | 48755 | 5 | 0.856 | 56956.8 |
670 | 2025-09-03 16:26:20 | collar | 2 | 82551 | 72 | 2.360 | 34979.2 |
669 | 2025-09-01 09:08:42 | collar | 1 | 48755 | 5 | 0.783 | 62266.9 |
668 | 2025-08-29 01:32:14 | collar | 1 | 48755 | 5 | 0.890 | 54780.9 |
667 | 2025-08-25 18:49:24 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
666 | 2025-08-24 07:43:56 | collar | 1 | 48755 | 5 | 4.360 | 11182.3 |
665 | 2025-08-22 16:28:41 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
664 | 2025-08-22 10:15:11 | collar | 1 | 48755 | 5 | 2.783 | 17518.9 |
663 | 2025-08-17 14:32:08 | collar | 3 | 112716 | 670 | 15.626 | 7213.4 |
662 | 2025-08-17 10:56:39 | collar | 3 | 112716 | 670 | 22.516 | 5006.0 |
661 | 2025-08-17 07:32:51 | collar | 2 | 82551 | 72 | 5.970 | 13827.6 |
660 | 2025-08-16 10:17:34 | collar | 1 | 48755 | 5 | 1.936 | 25183.4 |
659 | 2025-08-15 01:58:09 | collar | 1 | 48755 | 5 | 1.876 | 25988.8 |
658 | 2025-08-14 21:37:18 | collar | 3 | 112716 | 670 | 15.016 | 7506.4 |
657 | 2025-08-07 21:15:49 | collar | 1 | 48755 | 5 | 0.796 | 61250.0 |
656 | 2025-08-06 09:00:32 | collar | 3 | 112716 | 670 | 20.876 | 5399.3 |
655 | 2025-08-04 14:03:21 | collar | 1 | 48755 | 5 | 0.923 | 52822.3 |
654 | 2025-08-03 23:12:11 | collar | 1 | 48755 | 5 | 3.890 | 12533.4 |
653 | 2025-08-03 16:12:54 | collar | 3 | 112716 | 670 | 51.376 | 2193.9 |
652 | 2025-08-01 00:51:22 | collar | 1 | 48755 | 5 | 2.300 | 21197.8 |
651 | 2025-07-27 20:09:47 | collar | 3 | 112716 | 670 | 19.080 | 5907.5 |
650 | 2025-07-26 13:17:58 | collar | 1 | 48755 | 5 | 1.953 | 24964.2 |
649 | 2025-07-23 08:06:45 | collar | 3 | 112716 | 670 | 24.580 | 4585.7 |
648 | 2025-07-23 07:32:26 | collar | 1 | 48755 | 5 | 4.576 | 10654.5 |
647 | 2025-07-23 05:15:29 | collar | 1 | 48755 | 5 | 2.156 | 22613.6 |
646 | 2025-07-22 20:23:44 | collar | 3 | 112716 | 670 | 37.830 | 2979.5 |
645 | 2025-07-22 12:21:41 | collar | 1 | 48755 | 5 | 1.843 | 26454.2 |
644 | 2025-07-19 21:27:47 | collar | 1 | 48755 | 5 | 0.910 | 53576.9 |
643 | 2025-07-18 07:41:27 | collar | 3 | 112716 | 670 | 21.983 | 5127.4 |
642 | 2025-07-14 11:10:30 | collar | 1 | 48755 | 5 | 3.453 | 14119.6 |
641 | 2025-07-14 00:11:22 | collar | 2 | 82551 | 72 | 13.173 | 6266.7 |
640 | 2025-07-13 05:40:07 | collar | 1 | 48755 | 5 | 0.843 | 57835.1 |
639 | 2025-07-13 01:57:04 | collar | 1 | 48755 | 5 | 5.030 | 9692.8 |
638 | 2025-07-06 13:30:54 | collar | 1 | 48755 | 5 | 0.903 | 53992.2 |
637 | 2025-07-03 22:43:28 | collar | 1 | 48755 | 5 | 3.266 | 14928.0 |
636 | 2025-06-26 01:19:16 | collar | 1 | 48755 | 5 | 4.720 | 10329.4 |
635 | 2025-06-25 16:52:14 | collar | 1 | 48755 | 5 | 0.903 | 53992.2 |
634 | 2025-06-22 10:23:16 | collar | 2 | 82551 | 72 | 11.296 | 7308.0 |
633 | 2025-06-20 11:44:31 | collar | 2 | 82551 | 72 | 12.890 | 6404.3 |
632 | 2025-06-20 05:51:12 | collar | 1 | 48755 | 5 | 4.390 | 11105.9 |
631 | 2025-06-19 17:46:45 | collar | 1 | 48755 | 5 | 0.923 | 52822.3 |
630 | 2025-06-19 14:33:32 | collar | 3 | 112716 | 670 | 5.903 | 19094.7 |
629 | 2025-06-16 03:51:04 | collar | 3 | 112716 | 670 | 26.220 | 4298.9 |
628 | 2025-06-15 18:23:16 | collar | 3 | 112716 | 670 | 6.706 | 16808.2 |
627 | 2025-06-14 11:30:51 | collar | 3 | 112716 | 670 | 26.936 | 4184.6 |
626 | 2025-06-13 10:29:48 | collar | 1 | 48755 | 5 | 4.313 | 11304.2 |
625 | 2025-06-12 14:04:10 | collar | 1 | 48755 | 5 | 3.766 | 12946.1 |
624 | 2025-06-12 01:42:30 | collar | 1 | 48755 | 5 | 4.173 | 11683.4 |
623 | 2025-06-01 22:28:13 | collar | 1 | 48755 | 5 | 3.626 | 13445.9 |
622 | 2025-05-25 07:46:33 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
621 | 2025-05-22 20:45:53 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
620 | 2025-05-16 09:19:32 | collar | 1 | 48755 | 5 | 2.203 | 22131.2 |
619 | 2025-05-13 10:18:48 | collar | 1 | 48755 | 5 | 3.750 | 13001.3 |
618 | 2025-05-13 03:03:58 | collar | 1 | 48755 | 5 | 4.173 | 11683.4 |
617 | 2025-05-12 01:27:32 | collar | 1 | 48755 | 5 | 3.733 | 13060.5 |
616 | 2025-05-07 10:31:58 | collar | 3 | 112716 | 670 | 5.296 | 21283.2 |
615 | 2025-04-30 22:15:19 | collar | 1 | 48755 | 5 | 2.263 | 21544.4 |
614 | 2025-04-27 11:05:28 | collar | 2 | 82551 | 72 | 2.406 | 34310.5 |
613 | 2025-04-27 05:28:00 | collar | 3 | 112716 | 670 | 4.763 | 23664.9 |
612 | 2025-04-20 04:51:08 | collar | 1 | 48755 | 5 | 3.623 | 13457.1 |
611 | 2025-04-19 09:28:49 | collar | 1 | 48755 | 5 | 0.903 | 53992.2 |
610 | 2025-04-17 09:04:44 | collar | 2 | 82551 | 72 | 12.906 | 6396.3 |
609 | 2025-04-16 13:57:09 | collar | 3 | 112716 | 670 | 14.936 | 7546.6 |
608 | 2025-04-16 08:34:25 | collar | 3 | 112716 | 670 | 26.906 | 4189.3 |
607 | 2025-04-16 08:31:12 | collar | 2 | 82551 | 72 | 13.936 | 5923.6 |
606 | 2025-04-16 04:54:49 | collar | 3 | 112716 | 670 | 15.156 | 7437.1 |
605 | 2025-04-15 20:54:58 | collar | 3 | 112716 | 670 | 26.880 | 4193.3 |
604 | 2025-04-15 09:19:42 | collar | 2 | 82551 | 72 | 11.063 | 7461.9 |
603 | 2025-04-15 08:11:15 | collar | 1 | 48755 | 5 | 2.453 | 19875.7 |
602 | 2025-04-15 05:18:21 | collar | 3 | 112716 | 670 | 31.893 | 3534.2 |
601 | 2025-04-14 22:07:57 | collar | 3 | 112716 | 670 | 21.843 | 5160.3 |
600 | 2025-04-14 11:38:01 | collar | 3 | 112716 | 670 | 6.346 | 17761.7 |
599 | 2025-04-14 08:16:54 | collar | 2 | 82551 | 72 | 7.450 | 11080.7 |
598 | 2025-04-12 10:26:15 | collar | 1 | 48755 | 5 | 3.480 | 14010.1 |
597 | 2025-04-11 14:20:39 | collar | 1 | 48755 | 5 | 3.983 | 12240.8 |
596 | 2025-03-26 17:19:47 | collar | 3 | 112716 | 670 | 15.013 | 7507.9 |
595 | 2025-03-26 16:01:56 | collar | 1 | 48755 | 5 | 4.860 | 10031.9 |
594 | 2025-03-20 06:50:28 | collar | 1 | 48755 | 5 | 4.186 | 11647.2 |
593 | 2025-03-20 00:34:46 | collar | 1 | 48755 | 5 | 4.686 | 10404.4 |
592 | 2025-03-16 15:31:17 | collar | 3 | 112716 | 670 | 32.380 | 3481.0 |
591 | 2025-03-16 12:42:39 | collar | 3 | 112716 | 670 | 20.156 | 5592.2 |
590 | 2025-03-16 12:09:14 | collar | 3 | 112716 | 670 | 22.906 | 4920.8 |
589 | 2025-03-12 19:08:56 | collar | 3 | 112716 | 670 | 25.160 | 4480.0 |
588 | 2025-03-12 19:08:26 | collar | 2 | 82551 | 72 | 12.956 | 6371.6 |
587 | 2025-03-12 17:40:22 | collar | 3 | 112716 | 670 | 32.986 | 3417.1 |
586 | 2025-03-12 17:40:38 | collar | 1 | 48755 | 5 | 3.343 | 14584.2 |
585 | 2025-03-12 17:40:13 | collar | 2 | 82551 | 72 | 13.923 | 5929.1 |
584 | 2025-03-11 19:27:30 | collar | 1 | 48755 | 5 | 2.186 | 22303.3 |
583 | 2025-03-11 14:39:13 | collar | 1 | 48755 | 5 | 1.733 | 28133.3 |
582 | 2025-03-10 19:23:04 | collar | 1 | 48755 | 5 | 2.280 | 21383.8 |
581 | 2025-03-10 07:33:46 | collar | 1 | 48755 | 5 | 2.813 | 17332.0 |
580 | 2025-03-07 04:48:18 | collar | 1 | 48755 | 5 | 2.280 | 21383.8 |
579 | 2025-03-06 22:58:23 | collar | 1 | 48755 | 5 | 2.033 | 23981.8 |
578 | 2025-03-05 13:49:26 | collar | 3 | 112716 | 670 | 26.953 | 4181.9 |
577 | 2025-03-04 17:29:22 | collar | 3 | 112716 | 670 | 21.813 | 5167.4 |