History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biasing"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 846 | 2024-04-26 07:41:44 | biasing | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 845 | 2024-04-26 05:40:12 | biasing | 1 | 69583 | 3 | 1.343 | 51811.6 |
| 844 | 2024-04-13 14:24:13 | biasing | 1 | 69583 | 3 | 1.233 | 56433.9 |
| 843 | 2024-04-12 22:18:04 | biasing | 1 | 69583 | 3 | 1.626 | 42794.0 |
| 842 | 2024-04-09 01:17:55 | biasing | 1 | 69583 | 3 | 3.126 | 22259.4 |
| 841 | 2024-03-31 00:48:16 | biasing | 1 | 69583 | 3 | 3.593 | 19366.3 |
| 840 | 2024-03-11 12:57:38 | biasing | 2 | 107671 | 88 | 4.703 | 22894.1 |
| 839 | 2024-02-26 22:53:12 | biasing | 1 | 69583 | 3 | 1.283 | 54234.6 |
| 838 | 2024-01-31 08:56:15 | biasing | 2 | 107671 | 88 | 3.126 | 34443.7 |
| 837 | 2024-01-31 08:53:23 | biasing | 3 | 134027 | 1055 | 8.563 | 15651.9 |
| 836 | 2024-01-30 23:22:44 | biasing | 3 | 134027 | 1055 | 7.470 | 17942.0 |
| 835 | 2024-01-21 11:08:58 | biasing | 3 | 134027 | 1055 | 9.110 | 14712.1 |
| 834 | 2024-01-21 09:46:00 | biasing | 1 | 69583 | 3 | 1.160 | 59985.3 |
| 833 | 2024-01-21 07:15:34 | biasing | 1 | 69583 | 3 | 1.093 | 63662.4 |
| 832 | 2023-12-31 02:09:00 | biasing | 1 | 69583 | 3 | 1.126 | 61796.6 |
| 831 | 2023-12-26 21:52:06 | biasing | 1 | 69583 | 3 | 1.216 | 57222.9 |
| 830 | 2023-12-16 15:43:01 | biasing | 3 | 134027 | 1055 | 6.360 | 21073.4 |
| 829 | 2023-12-16 15:43:00 | biasing | 2 | 107671 | 88 | 3.203 | 33615.7 |
| 828 | 2023-11-30 11:10:32 | biasing | 1 | 69583 | 3 | 1.060 | 65644.3 |
| 827 | 2023-11-30 03:43:28 | biasing | 1 | 69583 | 3 | 1.063 | 65459.1 |
| 826 | 2023-11-29 22:10:01 | biasing | 2 | 107671 | 88 | 6.890 | 15627.1 |
| 825 | 2023-11-29 05:59:50 | biasing | 1 | 69583 | 3 | 1.076 | 64668.2 |
| 824 | 2023-11-28 02:40:01 | biasing | 1 | 69583 | 3 | 1.186 | 58670.3 |
| 823 | 2023-11-24 01:53:32 | biasing | 1 | 69583 | 3 | 1.046 | 66522.9 |
| 822 | 2023-11-23 04:14:52 | biasing | 1 | 69583 | 3 | 1.046 | 66522.9 |
| 821 | 2023-11-20 01:33:20 | biasing | 3 | 134027 | 1055 | 7.250 | 18486.5 |
| 820 | 2023-11-19 02:07:25 | biasing | 1 | 69583 | 3 | 1.186 | 58670.3 |
| 819 | 2023-11-18 02:10:24 | biasing | 3 | 134027 | 1055 | 19.363 | 6921.8 |
| 818 | 2023-11-08 07:31:22 | biasing | 3 | 134027 | 1055 | 5.953 | 22514.2 |
| 817 | 2023-11-03 04:16:39 | biasing | 1 | 69583 | 3 | 1.203 | 57841.2 |
| 816 | 2023-11-01 21:46:57 | biasing | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 815 | 2023-11-01 20:38:13 | biasing | 1 | 69583 | 3 | 1.203 | 57841.2 |
| 814 | 2023-10-29 03:21:54 | biasing | 1 | 69583 | 3 | 1.076 | 64668.2 |
| 813 | 2023-10-28 17:44:19 | biasing | 1 | 69583 | 3 | 1.123 | 61961.7 |
| 812 | 2023-10-26 06:42:10 | biasing | 1 | 69583 | 3 | 1.080 | 64428.7 |
| 811 | 2023-10-23 08:16:53 | biasing | 1 | 69583 | 3 | 1.203 | 57841.2 |
| 810 | 2023-10-22 12:03:54 | biasing | 1 | 69583 | 3 | 2.453 | 28366.5 |
| 809 | 2023-10-20 18:53:32 | biasing | 1 | 69583 | 3 | 1.046 | 66522.9 |
| 808 | 2023-10-17 01:30:39 | biasing | 1 | 69583 | 3 | 1.216 | 57222.9 |
| 807 | 2023-09-25 15:36:20 | biasing | 1 | 69583 | 3 | 1.060 | 65644.3 |
| 806 | 2023-09-23 22:55:33 | biasing | 1 | 69583 | 3 | 1.170 | 59472.6 |
| 805 | 2023-09-13 16:28:01 | biasing | 1 | 69583 | 3 | 1.233 | 56433.9 |
| 804 | 2023-09-12 18:05:39 | biasing | 1 | 69583 | 3 | 1.173 | 59320.5 |
| 803 | 2023-09-08 11:59:58 | biasing | 1 | 69583 | 3 | 1.046 | 66522.9 |
| 802 | 2023-09-05 02:28:28 | biasing | 1 | 69583 | 3 | 1.123 | 61961.7 |
| 801 | 2023-09-03 20:57:38 | biasing | 1 | 69583 | 3 | 1.030 | 67556.3 |
| 800 | 2023-09-02 05:59:24 | biasing | 1 | 69583 | 3 | 1.063 | 65459.1 |
| 799 | 2023-08-31 05:07:59 | biasing | 1 | 69583 | 3 | 1.126 | 61796.6 |
| 798 | 2023-08-27 18:56:48 | biasing | 2 | 107671 | 88 | 3.503 | 30736.8 |
| 797 | 2023-08-16 22:07:36 | biasing | 1 | 69583 | 3 | 1.170 | 59472.6 |
| 796 | 2023-08-16 19:55:18 | biasing | 1 | 69583 | 3 | 1.050 | 66269.5 |
| 795 | 2023-08-16 13:37:52 | biasing | 1 | 69583 | 3 | 1.123 | 61961.7 |
| 794 | 2023-08-16 09:10:23 | biasing | 1 | 69583 | 3 | 1.156 | 60192.9 |
| 793 | 2023-08-15 21:58:12 | biasing | 1 | 69583 | 3 | 1.190 | 58473.1 |
| 792 | 2023-08-14 21:42:57 | biasing | 1 | 69583 | 3 | 1.093 | 63662.4 |
| 791 | 2023-08-11 22:29:34 | biasing | 3 | 134027 | 1055 | 5.733 | 23378.2 |
| 790 | 2023-07-21 02:19:52 | biasing | 1 | 69583 | 3 | 1.063 | 65459.1 |
| 789 | 2023-05-16 10:34:41 | biasing | 1 | 69583 | 3 | 1.063 | 65459.1 |
| 788 | 2023-05-14 12:57:05 | biasing | 2 | 107671 | 88 | 3.173 | 33933.5 |
| 787 | 2023-04-21 06:09:16 | biasing | 3 | 134027 | 1055 | 5.733 | 23378.2 |
| 786 | 2023-04-13 03:06:47 | biasing | 1 | 69583 | 3 | 1.076 | 64668.2 |
| 785 | 2023-03-09 17:43:26 | biasing | 1 | 69583 | 3 | 1.046 | 66522.9 |
| 784 | 2023-02-20 13:15:07 | biasing | 2 | 107671 | 88 | 2.750 | 39153.1 |
| 783 | 2023-01-26 21:11:21 | biasing | 3 | 134027 | 1055 | 5.686 | 23571.4 |
| 782 | 2023-01-08 01:32:21 | biasing | 1 | 69583 | 3 | 1.063 | 65459.1 |
| 781 | 2022-12-29 06:30:13 | biasing | 1 | 69583 | 3 | 1.030 | 67556.3 |
| 780 | 2022-12-25 01:22:26 | biasing | 1 | 69583 | 3 | 1.140 | 61037.7 |
| 779 | 2022-12-01 04:55:56 | biasing | 2 | 107671 | 88 | 2.750 | 39153.1 |
| 778 | 2022-11-28 14:26:33 | biasing | 1 | 69583 | 3 | 1.123 | 61961.7 |
| 777 | 2022-11-08 00:44:35 | biasing | 3 | 134027 | 1055 | 5.686 | 23571.4 |
| 776 | 2022-09-24 06:14:27 | biasing | 1 | 69583 | 3 | 1.046 | 66522.9 |
| 775 | 2022-09-15 23:51:29 | biasing | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 774 | 2022-07-12 23:23:43 | biasing | 1 | 69583 | 3 | 1.080 | 64428.7 |
| 773 | 2022-07-11 00:22:38 | biasing | 1 | 69583 | 3 | 1.080 | 64428.7 |
| 772 | 2022-07-09 19:17:44 | biasing | 2 | 107671 | 88 | 2.766 | 38926.6 |
| 771 | 2022-06-16 11:41:52 | biasing | 1 | 69583 | 3 | 1.063 | 65459.1 |
| 770 | 2022-06-10 01:52:25 | biasing | 3 | 134027 | 1055 | 6.343 | 21129.9 |
| 769 | 2022-06-02 08:13:12 | biasing | 1 | 69583 | 3 | 1.060 | 65644.3 |
| 768 | 2022-05-31 15:18:46 | biasing | 1 | 69583 | 3 | 1.046 | 66522.9 |
| 767 | 2022-05-19 12:32:53 | biasing | 1 | 69583 | 3 | 1.346 | 51696.1 |
| 766 | 2022-03-11 02:12:46 | biasing | 1 | 69583 | 3 | 1.580 | 44039.9 |
| 765 | 2022-02-23 21:56:12 | biasing | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 764 | 2022-02-15 17:13:56 | biasing | 1 | 69583 | 3 | 1.076 | 64668.2 |
| 763 | 2022-01-03 22:27:59 | biasing | 1 | 69583 | 3 | 1.110 | 62687.4 |
| 762 | 2021-12-19 08:38:32 | biasing | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 761 | 2021-12-17 08:26:42 | biasing | 1 | 69583 | 3 | 1.093 | 63662.4 |
| 760 | 2021-11-27 02:59:30 | biasing | 1 | 69583 | 3 | 1.063 | 65459.1 |
| 759 | 2021-11-19 01:02:42 | biasing | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 758 | 2021-11-15 17:49:57 | biasing | 1 | 69583 | 3 | 1.110 | 62687.4 |
| 757 | 2021-11-15 01:45:26 | biasing | 1 | 69583 | 3 | 1.076 | 64668.2 |
| 756 | 2021-10-26 10:04:03 | biasing | 1 | 69583 | 3 | 1.233 | 56433.9 |
| 755 | 2021-09-29 11:24:55 | biasing | 1 | 69583 | 3 | 1.186 | 58670.3 |
| 754 | 2021-08-12 21:44:05 | biasing | 1 | 69583 | 3 | 1.063 | 65459.1 |
| 753 | 2021-05-12 04:44:19 | biasing | 1 | 69583 | 3 | 1.343 | 51811.6 |
| 752 | 2021-02-18 15:21:44 | biasing | 1 | 69583 | 3 | 1.360 | 51164.0 |
| 751 | 2021-02-07 21:48:33 | biasing | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 750 | 2021-02-02 22:22:11 | biasing | 1 | 69583 | 3 | 1.093 | 63662.4 |
| 749 | 2021-01-29 16:31:14 | biasing | 1 | 69583 | 3 | 1.063 | 65459.1 |
| 748 | 2020-11-16 20:18:28 | biasing | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 747 | 2020-10-30 13:34:59 | biasing | 1 | 69583 | 3 | 2.216 | 31400.3 |