History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"hashes"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
740 | 2024-04-22 10:04:04 | hashes | 1 | 48755 | 16 | 2.250 | 21668.9 |
739 | 2024-04-03 07:07:58 | hashes | 1 | 48755 | 16 | 1.950 | 25002.6 |
738 | 2024-03-31 04:59:36 | hashes | 1 | 48755 | 16 | 0.983 | 49598.2 |
737 | 2024-03-04 00:20:34 | hashes | 1 | 48755 | 16 | 2.076 | 23485.1 |
736 | 2024-03-01 05:38:44 | hashes | 1 | 48755 | 16 | 0.940 | 51867.0 |
735 | 2024-02-22 07:39:59 | hashes | 1 | 48755 | 16 | 0.813 | 59969.2 |
734 | 2024-01-21 16:14:11 | hashes | 2 | 82551 | 174 | 2.140 | 38575.2 |
733 | 2024-01-11 01:50:12 | hashes | 2 | 82551 | 174 | 2.690 | 30688.1 |
732 | 2023-12-30 12:05:14 | hashes | 2 | 82551 | 174 | 2.440 | 33832.4 |
731 | 2023-12-10 23:48:51 | hashes | 1 | 48755 | 16 | 1.156 | 42175.6 |
730 | 2023-11-30 11:59:30 | hashes | 1 | 48755 | 16 | 0.843 | 57835.1 |
729 | 2023-11-24 16:42:38 | hashes | 2 | 82551 | 174 | 2.250 | 36689.3 |
728 | 2023-11-19 07:17:07 | hashes | 1 | 48755 | 16 | 0.766 | 63648.8 |
727 | 2023-11-17 23:28:08 | hashes | 1 | 48755 | 16 | 0.843 | 57835.1 |
726 | 2023-11-13 17:39:17 | hashes | 1 | 48755 | 16 | 0.766 | 63648.8 |
725 | 2023-11-09 16:12:58 | hashes | 1 | 48755 | 16 | 0.813 | 59969.2 |
724 | 2023-11-03 10:23:09 | hashes | 2 | 82551 | 174 | 2.170 | 38041.9 |
723 | 2023-11-01 05:38:47 | hashes | 1 | 48755 | 16 | 0.846 | 57630.0 |
722 | 2023-10-22 14:03:21 | hashes | 1 | 48755 | 16 | 0.843 | 57835.1 |
721 | 2023-10-21 03:47:07 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
720 | 2023-10-18 16:30:13 | hashes | 1 | 48755 | 16 | 0.843 | 57835.1 |
719 | 2023-10-11 07:27:22 | hashes | 1 | 48755 | 16 | 0.923 | 52822.3 |
718 | 2023-10-07 09:51:40 | hashes | 1 | 48755 | 16 | 0.766 | 63648.8 |
717 | 2023-09-27 03:54:27 | hashes | 1 | 48755 | 16 | 0.766 | 63648.8 |
716 | 2023-09-24 13:08:27 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
715 | 2023-09-15 12:20:18 | hashes | 1 | 48755 | 16 | 0.860 | 56691.9 |
714 | 2023-08-09 18:43:46 | hashes | 2 | 82551 | 174 | 2.250 | 36689.3 |
713 | 2023-07-15 14:53:38 | hashes | 1 | 48755 | 16 | 0.890 | 54780.9 |
712 | 2023-04-25 14:42:29 | hashes | 1 | 48755 | 16 | 0.766 | 63648.8 |
711 | 2023-04-24 16:47:55 | hashes | 2 | 82551 | 174 | 2.123 | 38884.1 |
710 | 2023-04-07 23:29:07 | hashes | 1 | 48755 | 16 | 0.736 | 66243.2 |
709 | 2023-02-15 05:08:05 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
708 | 2023-01-30 23:13:32 | hashes | 2 | 82551 | 174 | 2.126 | 38829.3 |
707 | 2023-01-02 18:03:35 | hashes | 1 | 48755 | 16 | 0.873 | 55847.7 |
706 | 2022-12-28 11:21:25 | hashes | 2 | 82551 | 174 | 4.953 | 16666.9 |
705 | 2022-12-19 15:25:58 | hashes | 2 | 82551 | 174 | 2.143 | 38521.2 |
704 | 2022-12-13 01:28:03 | hashes | 1 | 48755 | 16 | 0.826 | 59025.4 |
703 | 2022-11-29 11:47:05 | hashes | 2 | 82551 | 174 | 2.186 | 37763.5 |
702 | 2022-11-12 11:27:39 | hashes | 2 | 82551 | 174 | 5.190 | 15905.8 |
701 | 2022-10-30 15:03:49 | hashes | 1 | 48755 | 16 | 0.813 | 59969.2 |
700 | 2022-10-29 13:25:10 | hashes | 1 | 48755 | 16 | 1.643 | 29674.4 |
699 | 2022-10-28 14:01:07 | hashes | 1 | 48755 | 16 | 0.733 | 66514.3 |
698 | 2022-10-27 13:03:06 | hashes | 1 | 48755 | 16 | 0.733 | 66514.3 |
697 | 2022-10-25 11:30:18 | hashes | 1 | 48755 | 16 | 0.906 | 53813.5 |
696 | 2022-10-24 16:05:55 | hashes | 1 | 48755 | 16 | 0.796 | 61250.0 |
695 | 2022-10-23 15:18:30 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
694 | 2022-10-22 13:06:51 | hashes | 1 | 48755 | 16 | 0.736 | 66243.2 |
693 | 2022-10-21 19:19:17 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
692 | 2022-10-20 18:10:35 | hashes | 1 | 48755 | 16 | 0.830 | 58741.0 |
691 | 2022-10-19 15:44:05 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
690 | 2022-10-18 23:48:59 | hashes | 1 | 48755 | 16 | 0.763 | 63899.1 |
689 | 2022-10-16 20:27:36 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
688 | 2022-10-14 22:05:03 | hashes | 1 | 48755 | 16 | 0.860 | 56691.9 |
687 | 2022-10-13 14:39:01 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
686 | 2022-10-12 19:06:01 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
685 | 2022-10-11 15:56:21 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
684 | 2022-10-09 19:03:15 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
683 | 2022-10-08 16:16:54 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
682 | 2022-10-07 17:51:25 | hashes | 1 | 48755 | 16 | 0.766 | 63648.8 |
681 | 2022-09-22 19:01:00 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
680 | 2022-09-04 08:31:48 | hashes | 1 | 48755 | 16 | 0.733 | 66514.3 |
679 | 2022-08-23 05:59:03 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
678 | 2022-08-19 04:13:02 | hashes | 1 | 48755 | 16 | 0.783 | 62266.9 |
677 | 2022-06-28 17:37:12 | hashes | 1 | 48755 | 16 | 0.733 | 66514.3 |
676 | 2022-06-09 09:32:50 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
675 | 2022-06-05 18:43:00 | hashes | 1 | 48755 | 16 | 0.860 | 56691.9 |
674 | 2022-06-05 16:21:12 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
673 | 2022-05-22 03:16:25 | hashes | 2 | 82551 | 174 | 2.186 | 37763.5 |
672 | 2022-05-19 21:22:18 | hashes | 2 | 82551 | 174 | 2.483 | 33246.5 |
671 | 2022-05-11 14:08:40 | hashes | 1 | 48755 | 16 | 1.186 | 41108.8 |
670 | 2022-05-11 00:40:02 | hashes | 1 | 48755 | 16 | 1.160 | 42030.2 |
669 | 2022-05-10 16:32:06 | hashes | 1 | 48755 | 16 | 1.513 | 32224.1 |
668 | 2022-05-10 05:21:48 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
667 | 2022-05-09 12:45:38 | hashes | 1 | 48755 | 16 | 0.923 | 52822.3 |
666 | 2022-05-08 08:21:26 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
665 | 2022-05-07 17:02:09 | hashes | 1 | 48755 | 16 | 0.826 | 59025.4 |
664 | 2022-04-23 22:07:27 | hashes | 1 | 48755 | 16 | 0.750 | 65006.7 |
663 | 2022-04-13 09:48:27 | hashes | 1 | 48755 | 16 | 1.033 | 47197.5 |
662 | 2022-03-31 21:25:55 | hashes | 1 | 48755 | 16 | 0.936 | 52088.7 |
661 | 2022-02-22 10:57:33 | hashes | 1 | 48755 | 16 | 0.953 | 51159.5 |
660 | 2022-02-07 10:39:30 | hashes | 1 | 48755 | 16 | 0.936 | 52088.7 |
659 | 2022-02-06 09:31:56 | hashes | 1 | 48755 | 16 | 0.766 | 63648.8 |
658 | 2022-02-05 08:16:43 | hashes | 1 | 48755 | 16 | 0.830 | 58741.0 |
657 | 2022-02-04 08:22:01 | hashes | 1 | 48755 | 16 | 0.873 | 55847.7 |
656 | 2022-02-03 02:48:45 | hashes | 1 | 48755 | 16 | 0.923 | 52822.3 |
655 | 2022-02-02 08:14:39 | hashes | 1 | 48755 | 16 | 0.936 | 52088.7 |
654 | 2022-02-01 06:10:29 | hashes | 1 | 48755 | 16 | 0.860 | 56691.9 |
653 | 2022-01-31 04:07:15 | hashes | 1 | 48755 | 16 | 0.843 | 57835.1 |
652 | 2022-01-30 09:44:40 | hashes | 1 | 48755 | 16 | 0.830 | 58741.0 |
651 | 2022-01-29 09:01:50 | hashes | 1 | 48755 | 16 | 0.876 | 55656.4 |
650 | 2022-01-14 23:52:18 | hashes | 2 | 82551 | 174 | 2.470 | 33421.5 |
649 | 2022-01-13 10:29:46 | hashes | 1 | 48755 | 16 | 0.860 | 56691.9 |
648 | 2022-01-06 04:58:48 | hashes | 1 | 48755 | 16 | 0.826 | 59025.4 |
647 | 2022-01-05 17:42:17 | hashes | 1 | 48755 | 16 | 0.906 | 53813.5 |
646 | 2022-01-05 08:25:52 | hashes | 1 | 48755 | 16 | 0.966 | 50471.0 |
645 | 2022-01-04 17:13:39 | hashes | 1 | 48755 | 16 | 0.953 | 51159.5 |
644 | 2021-12-19 11:25:20 | hashes | 1 | 48755 | 16 | 0.876 | 55656.4 |
643 | 2021-12-19 01:37:37 | hashes | 1 | 48755 | 16 | 0.856 | 56956.8 |
642 | 2021-12-18 15:55:51 | hashes | 1 | 48755 | 16 | 0.783 | 62266.9 |
641 | 2021-12-17 21:00:30 | hashes | 1 | 48755 | 16 | 0.873 | 55847.7 |