History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"were"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 3797 | 2025-12-24 00:37:12 | were | 1 | 13983 | 16 | 1.296 | 10789.4 |
| 3796 | 2025-12-24 00:36:40 | were | 1 | 13983 | 16 | 1.906 | 7336.3 |
| 3795 | 2025-12-24 00:36:01 | were | 1 | 13983 | 16 | 0.920 | 15198.9 |
| 3794 | 2025-12-23 05:21:11 | were | 2 | 29872 | 311 | 0.920 | 32469.6 |
| 3793 | 2025-12-23 00:04:33 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3792 | 2025-12-22 19:46:26 | were | 2 | 29872 | 311 | 0.843 | 35435.3 |
| 3791 | 2025-12-19 01:19:58 | were | 1 | 13983 | 16 | 0.656 | 21315.5 |
| 3790 | 2025-12-17 21:44:38 | were | 2 | 29872 | 311 | 1.546 | 19322.1 |
| 3789 | 2025-12-17 10:50:59 | were | 1 | 13983 | 16 | 1.033 | 13536.3 |
| 3788 | 2025-12-15 20:57:27 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3787 | 2025-12-15 20:57:05 | were | 2 | 29872 | 311 | 0.750 | 39829.3 |
| 3786 | 2025-12-15 20:32:07 | were | 2 | 29872 | 311 | 4.406 | 6779.8 |
| 3785 | 2025-12-14 17:58:37 | were | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 3784 | 2025-12-14 16:06:58 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3783 | 2025-12-14 15:20:14 | were | 2 | 29872 | 311 | 0.843 | 35435.3 |
| 3782 | 2025-12-14 03:57:47 | were | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 3781 | 2025-12-13 17:31:20 | were | 2 | 29872 | 311 | 1.076 | 27762.1 |
| 3780 | 2025-12-13 17:21:05 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3779 | 2025-12-13 13:29:47 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 3778 | 2025-12-12 21:55:19 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3777 | 2025-12-12 00:31:49 | were | 1 | 13983 | 16 | 1.766 | 7917.9 |
| 3776 | 2025-12-12 00:31:37 | were | 1 | 13983 | 16 | 0.983 | 14224.8 |
| 3775 | 2025-12-12 00:30:44 | were | 1 | 13983 | 16 | 1.546 | 9044.6 |
| 3774 | 2025-12-12 00:30:05 | were | 1 | 13983 | 16 | 1.123 | 12451.5 |
| 3773 | 2025-12-11 03:37:27 | were | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 3772 | 2025-12-11 03:23:39 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3771 | 2025-12-10 07:34:51 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 3770 | 2025-12-10 01:09:13 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3769 | 2025-12-09 16:00:15 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 3768 | 2025-12-07 02:22:13 | were | 1 | 13983 | 16 | 0.313 | 44674.1 |
| 3767 | 2025-12-06 16:26:30 | were | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 3766 | 2025-12-04 14:36:13 | were | 2 | 29872 | 311 | 0.843 | 35435.3 |
| 3765 | 2025-12-04 06:00:08 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 3764 | 2025-12-03 03:34:28 | were | 2 | 29872 | 311 | 0.903 | 33080.8 |
| 3763 | 2025-12-03 02:44:47 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3762 | 2025-12-02 22:57:12 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3761 | 2025-11-30 15:16:35 | were | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 3760 | 2025-11-29 23:29:52 | were | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 3759 | 2025-11-29 12:20:44 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3758 | 2025-11-29 03:53:20 | were | 1 | 13983 | 16 | 1.910 | 7320.9 |
| 3757 | 2025-11-29 02:36:03 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3756 | 2025-11-28 20:34:36 | were | 1 | 13983 | 16 | 0.670 | 20870.1 |
| 3755 | 2025-11-28 01:54:16 | were | 1 | 13983 | 16 | 0.530 | 26383.0 |
| 3754 | 2025-11-27 09:14:43 | were | 2 | 29872 | 311 | 0.843 | 35435.3 |
| 3753 | 2025-11-25 15:15:47 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3752 | 2025-11-24 17:26:56 | were | 1 | 13983 | 16 | 0.420 | 33292.9 |
| 3751 | 2025-11-24 03:56:00 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3750 | 2025-11-23 02:53:45 | were | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 3749 | 2025-11-22 18:14:27 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 3748 | 2025-11-21 10:25:17 | were | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 3747 | 2025-11-20 21:37:40 | were | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 3746 | 2025-11-18 23:13:16 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3745 | 2025-11-18 20:12:40 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3744 | 2025-11-18 08:15:29 | were | 2 | 29872 | 311 | 1.220 | 24485.2 |
| 3743 | 2025-11-17 11:50:23 | were | 2 | 29872 | 311 | 0.860 | 34734.9 |
| 3742 | 2025-11-17 11:01:03 | were | 1 | 13983 | 16 | 0.203 | 68881.8 |
| 3741 | 2025-11-16 18:09:01 | were | 1 | 13983 | 16 | 0.936 | 14939.1 |
| 3740 | 2025-11-16 18:08:51 | were | 2 | 29872 | 311 | 3.750 | 7965.9 |
| 3739 | 2025-11-16 15:02:46 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3738 | 2025-11-16 10:03:55 | were | 2 | 29872 | 311 | 0.890 | 33564.0 |
| 3737 | 2025-11-16 10:03:27 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 3736 | 2025-11-16 09:16:58 | were | 2 | 29872 | 311 | 1.690 | 17675.7 |
| 3735 | 2025-11-16 06:13:11 | were | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 3734 | 2025-11-15 23:53:08 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 3733 | 2025-11-14 01:53:14 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3732 | 2025-11-13 18:17:29 | were | 2 | 29872 | 311 | 0.766 | 38997.4 |
| 3731 | 2025-11-12 21:54:23 | were | 2 | 29872 | 311 | 0.860 | 34734.9 |
| 3730 | 2025-11-12 09:44:01 | were | 1 | 13983 | 16 | 0.483 | 28950.3 |
| 3729 | 2025-11-12 03:26:25 | were | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 3728 | 2025-11-11 14:30:50 | were | 1 | 13983 | 16 | 0.470 | 29751.1 |
| 3727 | 2025-11-11 11:18:31 | were | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 3726 | 2025-11-09 10:47:20 | were | 2 | 29872 | 311 | 0.843 | 35435.3 |
| 3725 | 2025-11-09 06:33:04 | were | 2 | 29872 | 311 | 0.750 | 39829.3 |
| 3724 | 2025-11-09 01:16:31 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 3723 | 2025-11-08 07:26:10 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 3722 | 2025-11-08 01:19:29 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3721 | 2025-11-03 04:57:19 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3720 | 2025-11-01 23:26:54 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3719 | 2025-10-30 07:59:22 | were | 2 | 29872 | 311 | 5.250 | 5689.9 |
| 3718 | 2025-10-30 07:59:06 | were | 2 | 29872 | 311 | 6.326 | 4722.1 |
| 3717 | 2025-10-30 07:58:48 | were | 2 | 29872 | 311 | 3.860 | 7738.9 |
| 3716 | 2025-10-30 07:58:31 | were | 2 | 29872 | 311 | 2.186 | 13665.1 |
| 3715 | 2025-10-30 07:43:57 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 3714 | 2025-10-29 11:59:43 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3713 | 2025-10-29 09:29:50 | were | 1 | 13983 | 16 | 0.300 | 46610.0 |
| 3712 | 2025-10-29 08:27:15 | were | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 3711 | 2025-10-29 05:50:18 | were | 1 | 13983 | 16 | 0.330 | 42372.7 |
| 3710 | 2025-10-29 05:50:12 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3709 | 2025-10-28 03:10:07 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3708 | 2025-10-28 01:06:19 | were | 1 | 13983 | 16 | 0.203 | 68881.8 |
| 3707 | 2025-10-27 23:26:21 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3706 | 2025-10-25 15:49:45 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 3705 | 2025-10-25 03:25:14 | were | 2 | 29872 | 311 | 2.936 | 10174.4 |
| 3704 | 2025-10-24 23:52:10 | were | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 3703 | 2025-10-24 15:27:30 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3702 | 2025-10-24 09:16:36 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3701 | 2025-10-24 06:22:34 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 3700 | 2025-10-24 00:26:54 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 3699 | 2025-10-23 21:07:42 | were | 1 | 13983 | 16 | 1.376 | 10162.1 |
| 3698 | 2025-10-23 00:50:34 | were | 1 | 13983 | 16 | 0.906 | 15433.8 |