History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"navy"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
678 | 2025-09-03 06:57:49 | navy | 1 | 13983 | 8 | 0.250 | 55932.0 |
677 | 2025-08-30 23:52:08 | navy | 1 | 13983 | 8 | 0.216 | 64736.1 |
676 | 2025-08-17 22:09:34 | navy | 1 | 13983 | 8 | 1.076 | 12995.4 |
675 | 2025-08-13 06:05:24 | navy | 1 | 13983 | 8 | 0.656 | 21315.5 |
674 | 2025-08-12 12:31:29 | navy | 1 | 13983 | 8 | 0.923 | 15149.5 |
673 | 2025-08-09 09:21:21 | navy | 1 | 13983 | 8 | 0.670 | 20870.1 |
672 | 2025-08-06 01:23:50 | navy | 2 | 29872 | 143 | 9.190 | 3250.5 |
671 | 2025-08-05 12:21:38 | navy | 2 | 29872 | 143 | 4.016 | 7438.2 |
670 | 2025-08-04 14:20:16 | navy | 2 | 29872 | 143 | 6.233 | 4792.6 |
669 | 2025-08-04 11:26:31 | navy | 2 | 29872 | 143 | 2.033 | 14693.6 |
668 | 2025-08-04 05:00:09 | navy | 1 | 13983 | 8 | 0.796 | 17566.6 |
667 | 2025-08-02 08:06:57 | navy | 1 | 13983 | 8 | 0.953 | 14672.6 |
666 | 2025-07-31 05:29:52 | navy | 1 | 13983 | 8 | 0.220 | 63559.1 |
665 | 2025-07-29 05:52:19 | navy | 2 | 29872 | 143 | 2.220 | 13455.9 |
664 | 2025-07-29 01:00:23 | navy | 2 | 29872 | 143 | 1.843 | 16208.4 |
663 | 2025-07-27 16:56:26 | navy | 1 | 13983 | 8 | 1.296 | 10789.4 |
662 | 2025-07-27 11:20:01 | navy | 1 | 13983 | 8 | 0.530 | 26383.0 |
661 | 2025-07-26 22:40:14 | navy | 1 | 13983 | 8 | 1.346 | 10388.6 |
660 | 2025-07-22 20:49:16 | navy | 2 | 29872 | 143 | 2.110 | 14157.3 |
659 | 2025-07-22 02:15:02 | navy | 1 | 13983 | 8 | 0.216 | 64736.1 |
658 | 2025-07-21 14:44:25 | navy | 1 | 13983 | 8 | 0.250 | 55932.0 |
657 | 2025-07-19 07:34:55 | navy | 2 | 29872 | 143 | 0.890 | 33564.0 |
656 | 2025-07-15 09:50:14 | navy | 1 | 13983 | 8 | 0.873 | 16017.2 |
655 | 2025-07-08 08:48:38 | navy | 1 | 13983 | 8 | 1.173 | 11920.7 |
654 | 2025-07-06 15:59:57 | navy | 1 | 13983 | 8 | 0.250 | 55932.0 |
653 | 2025-07-04 07:57:22 | navy | 1 | 13983 | 8 | 1.436 | 9737.5 |
652 | 2025-07-03 07:00:32 | navy | 1 | 13983 | 8 | 0.686 | 20383.4 |
651 | 2025-07-02 05:08:08 | navy | 1 | 13983 | 8 | 0.266 | 52567.7 |
650 | 2025-06-30 15:54:57 | navy | 1 | 13983 | 8 | 1.890 | 7398.4 |
649 | 2025-06-25 14:12:43 | navy | 1 | 13983 | 8 | 0.703 | 19890.5 |
648 | 2025-06-23 09:45:03 | navy | 1 | 13983 | 8 | 0.233 | 60012.9 |
647 | 2025-06-22 10:25:01 | navy | 1 | 13983 | 8 | 1.653 | 8459.2 |
646 | 2025-06-19 14:12:11 | navy | 1 | 13983 | 8 | 0.500 | 27966.0 |
645 | 2025-06-17 23:26:04 | navy | 1 | 13983 | 8 | 1.673 | 8358.0 |
644 | 2025-06-11 23:41:32 | navy | 1 | 13983 | 8 | 0.610 | 22923.0 |
643 | 2025-06-07 08:16:46 | navy | 1 | 13983 | 8 | 1.470 | 9512.2 |
642 | 2025-06-06 13:50:52 | navy | 1 | 13983 | 8 | 1.110 | 12597.3 |
641 | 2025-06-01 06:12:06 | navy | 1 | 13983 | 8 | 0.763 | 18326.3 |
640 | 2025-06-01 06:10:04 | navy | 1 | 13983 | 8 | 1.266 | 11045.0 |
639 | 2025-06-01 05:34:23 | navy | 1 | 13983 | 8 | 0.280 | 49939.3 |
638 | 2025-05-31 14:51:33 | navy | 1 | 13983 | 8 | 0.673 | 20777.1 |
637 | 2025-05-31 04:29:44 | navy | 1 | 13983 | 8 | 1.873 | 7465.6 |
636 | 2025-05-29 04:42:09 | navy | 1 | 13983 | 8 | 1.140 | 12265.8 |
635 | 2025-05-26 12:18:22 | navy | 1 | 13983 | 8 | 0.530 | 26383.0 |
634 | 2025-05-22 11:30:31 | navy | 1 | 13983 | 8 | 0.826 | 16928.6 |
633 | 2025-05-21 03:33:59 | navy | 1 | 13983 | 8 | 0.610 | 22923.0 |
632 | 2025-05-15 23:56:49 | navy | 1 | 13983 | 8 | 1.626 | 8599.6 |
631 | 2025-05-08 15:33:23 | navy | 1 | 13983 | 8 | 1.343 | 10411.8 |
630 | 2025-05-08 15:26:52 | navy | 1 | 13983 | 8 | 0.970 | 14415.5 |
629 | 2025-05-05 21:27:53 | navy | 1 | 13983 | 8 | 0.670 | 20870.1 |
628 | 2025-05-01 05:38:20 | navy | 1 | 13983 | 8 | 1.203 | 11623.4 |
627 | 2025-04-30 04:31:50 | navy | 1 | 13983 | 8 | 1.470 | 9512.2 |
626 | 2025-04-28 05:03:30 | navy | 1 | 13983 | 8 | 1.110 | 12597.3 |
625 | 2025-04-14 22:36:49 | navy | 1 | 13983 | 8 | 0.263 | 53167.3 |
624 | 2025-04-06 08:02:04 | navy | 1 | 13983 | 8 | 1.610 | 8685.1 |
623 | 2025-03-31 06:50:05 | navy | 1 | 13983 | 8 | 1.063 | 13154.3 |
622 | 2025-03-29 11:02:32 | navy | 2 | 29872 | 143 | 6.983 | 4277.8 |
621 | 2025-03-28 05:54:00 | navy | 1 | 13983 | 8 | 0.530 | 26383.0 |
620 | 2025-03-19 22:17:02 | navy | 1 | 13983 | 8 | 1.046 | 13368.1 |
619 | 2025-03-15 09:09:33 | navy | 2 | 29872 | 143 | 4.313 | 6926.0 |
618 | 2025-03-14 22:14:03 | navy | 1 | 13983 | 8 | 1.643 | 8510.7 |
617 | 2025-03-14 19:50:02 | navy | 1 | 13983 | 8 | 1.390 | 10059.7 |
616 | 2025-03-13 05:16:19 | navy | 1 | 13983 | 8 | 0.733 | 19076.4 |
615 | 2025-03-12 09:41:04 | navy | 1 | 13983 | 8 | 1.563 | 8946.3 |
614 | 2025-03-06 23:23:13 | navy | 2 | 29872 | 143 | 4.126 | 7239.9 |
613 | 2025-03-06 23:10:41 | navy | 1 | 13983 | 8 | 0.263 | 53167.3 |
612 | 2025-02-28 11:42:39 | navy | 2 | 29872 | 143 | 3.733 | 8002.1 |
611 | 2025-02-28 10:43:57 | navy | 1 | 13983 | 8 | 0.233 | 60012.9 |
610 | 2025-02-26 04:49:01 | navy | 2 | 29872 | 143 | 1.846 | 16182.0 |
609 | 2025-02-26 04:16:14 | navy | 2 | 29872 | 143 | 7.516 | 3974.5 |
608 | 2025-02-26 04:15:28 | navy | 1 | 13983 | 8 | 3.110 | 4496.1 |
607 | 2025-02-24 04:10:00 | navy | 1 | 13983 | 8 | 0.703 | 19890.5 |
606 | 2025-02-16 09:49:03 | navy | 1 | 13983 | 8 | 1.983 | 7051.4 |
605 | 2025-02-16 07:36:15 | navy | 1 | 13983 | 8 | 0.953 | 14672.6 |
604 | 2025-02-04 22:55:25 | navy | 2 | 29872 | 143 | 5.453 | 5478.1 |
603 | 2025-02-04 22:14:55 | navy | 1 | 13983 | 8 | 0.250 | 55932.0 |
602 | 2025-01-29 10:08:35 | navy | 2 | 29872 | 143 | 6.626 | 4508.3 |
601 | 2025-01-29 10:01:31 | navy | 1 | 13983 | 8 | 0.220 | 63559.1 |
600 | 2025-01-27 01:53:35 | navy | 2 | 29872 | 143 | 4.093 | 7298.3 |
599 | 2025-01-27 00:52:31 | navy | 2 | 29872 | 143 | 3.656 | 8170.7 |
598 | 2025-01-27 00:52:12 | navy | 1 | 13983 | 8 | 0.670 | 20870.1 |
597 | 2025-01-06 15:42:57 | navy | 1 | 13983 | 8 | 0.970 | 14415.5 |
596 | 2025-01-05 19:56:30 | navy | 2 | 29872 | 143 | 3.250 | 9191.4 |
595 | 2025-01-05 19:31:16 | navy | 1 | 13983 | 8 | 0.953 | 14672.6 |
594 | 2024-12-30 03:09:35 | navy | 1 | 13983 | 8 | 0.236 | 59250.0 |
593 | 2024-12-27 19:15:29 | navy | 1 | 13983 | 8 | 1.156 | 12096.0 |
592 | 2024-12-25 16:43:19 | navy | 1 | 13983 | 8 | 1.640 | 8526.2 |
591 | 2024-12-06 15:11:19 | navy | 1 | 13983 | 8 | 0.266 | 52567.7 |
590 | 2024-11-29 04:31:20 | navy | 2 | 29872 | 143 | 2.263 | 13200.2 |
589 | 2024-11-29 03:25:09 | navy | 1 | 13983 | 8 | 0.250 | 55932.0 |
588 | 2024-11-27 08:01:17 | navy | 1 | 13983 | 8 | 0.436 | 32071.1 |
587 | 2024-11-25 14:38:24 | navy | 1 | 13983 | 8 | 0.563 | 24836.6 |
586 | 2024-11-06 14:05:46 | navy | 1 | 13983 | 8 | 1.173 | 11920.7 |
585 | 2024-10-30 03:18:56 | navy | 2 | 29872 | 143 | 6.736 | 4434.7 |
584 | 2024-10-30 01:57:31 | navy | 2 | 29872 | 143 | 2.186 | 13665.1 |
583 | 2024-10-30 01:57:30 | navy | 1 | 13983 | 8 | 0.516 | 27098.8 |
582 | 2024-10-28 05:56:42 | navy | 1 | 13983 | 8 | 0.466 | 30006.4 |
581 | 2024-10-26 12:31:03 | navy | 1 | 13983 | 8 | 1.050 | 13317.1 |
580 | 2024-10-07 14:09:27 | navy | 1 | 13983 | 8 | 0.686 | 20383.4 |
579 | 2024-09-29 23:56:59 | navy | 1 | 13983 | 8 | 0.220 | 63559.1 |