History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"regression"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 837 | 2026-04-18 09:29:43 | regression | 1 | 67641 | 4 | 2.576 | 26258.2 |
| 836 | 2026-04-13 07:23:28 | regression | 1 | 67641 | 4 | 6.033 | 11211.8 |
| 835 | 2026-04-11 10:48:51 | regression | 2 | 108824 | 15 | 15.576 | 6986.6 |
| 834 | 2026-04-11 10:48:39 | regression | 2 | 108824 | 15 | 7.753 | 14036.4 |
| 833 | 2026-04-10 23:07:34 | regression | 3 | 140603 | 49 | 26.913 | 5224.4 |
| 832 | 2026-04-10 23:07:03 | regression | 3 | 140603 | 49 | 30.733 | 4575.0 |
| 831 | 2026-04-05 20:28:37 | regression | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 830 | 2026-04-05 13:30:08 | regression | 3 | 140603 | 49 | 42.986 | 3270.9 |
| 829 | 2026-04-01 17:24:26 | regression | 1 | 67641 | 4 | 4.470 | 15132.2 |
| 828 | 2026-03-26 02:08:15 | regression | 4 | 161450 | 190 | 42.353 | 3812.0 |
| 827 | 2026-03-18 05:50:06 | regression | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 826 | 2026-03-14 16:23:54 | regression | 2 | 108824 | 15 | 16.110 | 6755.1 |
| 825 | 2026-03-05 07:54:42 | regression | 1 | 67641 | 4 | 1.263 | 53555.8 |
| 824 | 2026-03-05 07:44:21 | regression | 4 | 161450 | 190 | 11.720 | 13775.6 |
| 823 | 2026-03-05 00:27:22 | regression | 1 | 67641 | 4 | 1.216 | 55625.8 |
| 822 | 2026-02-27 02:43:40 | regression | 4 | 161450 | 190 | 14.656 | 11016.0 |
| 821 | 2026-02-26 22:54:18 | regression | 2 | 108824 | 15 | 2.923 | 37230.2 |
| 820 | 2026-02-26 08:49:29 | regression | 1 | 67641 | 4 | 1.126 | 60071.9 |
| 819 | 2026-02-23 08:32:41 | regression | 1 | 67641 | 4 | 1.360 | 49736.0 |
| 818 | 2026-02-20 22:02:47 | regression | 4 | 161450 | 190 | 11.550 | 13978.4 |
| 817 | 2026-02-16 11:21:14 | regression | 1 | 67641 | 4 | 1.593 | 42461.4 |
| 816 | 2026-02-14 05:35:47 | regression | 2 | 108824 | 15 | 3.190 | 34114.1 |
| 815 | 2026-02-12 20:08:52 | regression | 3 | 140603 | 49 | 20.576 | 6833.3 |
| 814 | 2026-02-12 20:08:37 | regression | 3 | 140603 | 49 | 26.500 | 5305.8 |
| 813 | 2026-02-12 20:08:27 | regression | 3 | 140603 | 49 | 25.656 | 5480.3 |
| 812 | 2026-02-12 15:04:09 | regression | 2 | 108824 | 15 | 12.003 | 9066.4 |
| 811 | 2026-02-10 03:16:23 | regression | 2 | 108824 | 15 | 9.250 | 11764.8 |
| 810 | 2026-02-09 14:28:17 | regression | 3 | 140603 | 49 | 39.656 | 3545.6 |
| 809 | 2026-02-06 06:52:25 | regression | 2 | 108824 | 15 | 8.830 | 12324.3 |
| 808 | 2026-02-02 14:25:56 | regression | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 807 | 2026-01-31 16:18:22 | regression | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 806 | 2026-01-27 04:55:45 | regression | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 805 | 2026-01-19 04:07:53 | regression | 2 | 108824 | 15 | 2.846 | 38237.5 |
| 804 | 2026-01-19 02:27:22 | regression | 3 | 140603 | 49 | 6.500 | 21631.2 |
| 803 | 2026-01-18 16:30:24 | regression | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 802 | 2026-01-18 10:39:13 | regression | 1 | 67641 | 4 | 1.220 | 55443.4 |
| 801 | 2026-01-18 08:34:29 | regression | 4 | 161450 | 190 | 12.110 | 13332.0 |
| 800 | 2026-01-17 20:08:06 | regression | 4 | 161450 | 190 | 41.093 | 3928.9 |
| 799 | 2026-01-14 07:57:17 | regression | 1 | 67641 | 4 | 1.063 | 63632.2 |
| 798 | 2026-01-14 07:54:18 | regression | 1 | 67641 | 4 | 2.376 | 28468.4 |
| 797 | 2026-01-11 09:19:14 | regression | 1 | 67641 | 4 | 1.076 | 62863.4 |
| 796 | 2026-01-11 08:57:04 | regression | 1 | 67641 | 4 | 1.266 | 53428.9 |
| 795 | 2026-01-06 23:01:33 | regression | 1 | 67641 | 4 | 1.110 | 60937.8 |
| 794 | 2025-12-17 03:52:31 | regression | 1 | 67641 | 4 | 1.283 | 52721.0 |
| 793 | 2025-12-16 02:16:16 | regression | 4 | 161450 | 190 | 12.406 | 13013.9 |
| 792 | 2025-12-15 02:38:36 | regression | 4 | 161450 | 190 | 10.703 | 15084.6 |
| 791 | 2025-12-12 15:28:29 | regression | 4 | 161450 | 190 | 48.053 | 3359.8 |
| 790 | 2025-12-11 14:18:43 | regression | 1 | 67641 | 4 | 1.220 | 55443.4 |
| 789 | 2025-12-11 13:59:50 | regression | 4 | 161450 | 190 | 10.860 | 14866.5 |
| 788 | 2025-12-09 04:38:57 | regression | 1 | 67641 | 4 | 1.080 | 62630.6 |
| 787 | 2025-12-08 17:30:58 | regression | 1 | 67641 | 4 | 1.063 | 63632.2 |
| 786 | 2025-12-04 03:51:49 | regression | 1 | 67641 | 4 | 1.220 | 55443.4 |
| 785 | 2025-12-02 00:19:47 | regression | 2 | 108824 | 15 | 2.856 | 38103.6 |
| 784 | 2025-12-01 12:57:07 | regression | 2 | 108824 | 15 | 3.576 | 30431.8 |
| 783 | 2025-11-28 18:22:53 | regression | 4 | 161450 | 190 | 11.953 | 13507.1 |
| 782 | 2025-11-27 13:25:17 | regression | 3 | 140603 | 49 | 6.953 | 20221.9 |
| 781 | 2025-11-24 23:38:02 | regression | 1 | 67641 | 4 | 1.843 | 36701.6 |
| 780 | 2025-11-24 08:39:37 | regression | 3 | 140603 | 49 | 6.656 | 21124.2 |
| 779 | 2025-11-24 06:10:27 | regression | 3 | 140603 | 49 | 9.390 | 14973.7 |
| 778 | 2025-11-24 00:31:19 | regression | 2 | 108824 | 15 | 3.266 | 33320.3 |
| 777 | 2025-11-22 14:27:59 | regression | 1 | 67641 | 4 | 2.423 | 27916.2 |
| 776 | 2025-11-22 05:05:54 | regression | 1 | 67641 | 4 | 2.810 | 24071.5 |
| 775 | 2025-11-21 11:50:06 | regression | 1 | 67641 | 4 | 1.940 | 34866.5 |
| 774 | 2025-11-18 15:12:29 | regression | 1 | 67641 | 4 | 1.063 | 63632.2 |
| 773 | 2025-11-18 11:39:05 | regression | 3 | 140603 | 49 | 7.016 | 20040.3 |
| 772 | 2025-11-17 23:37:55 | regression | 1 | 67641 | 4 | 3.423 | 19760.7 |
| 771 | 2025-11-17 23:37:42 | regression | 1 | 67641 | 4 | 2.050 | 32995.6 |
| 770 | 2025-11-16 13:39:03 | regression | 4 | 161450 | 190 | 27.953 | 5775.8 |
| 769 | 2025-11-12 11:30:19 | regression | 1 | 67641 | 4 | 1.156 | 58513.0 |
| 768 | 2025-11-05 05:48:40 | regression | 3 | 140603 | 49 | 6.296 | 22332.1 |
| 767 | 2025-10-30 22:14:32 | regression | 4 | 161450 | 190 | 11.173 | 14450.0 |
| 766 | 2025-10-30 21:34:16 | regression | 4 | 161450 | 190 | 24.830 | 6502.2 |
| 765 | 2025-10-28 09:38:29 | regression | 4 | 161450 | 190 | 10.423 | 15489.8 |
| 764 | 2025-10-27 06:13:21 | regression | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 763 | 2025-10-25 14:02:01 | regression | 1 | 67641 | 4 | 1.110 | 60937.8 |
| 762 | 2025-10-25 04:22:00 | regression | 1 | 67641 | 4 | 1.123 | 60232.4 |
| 761 | 2025-10-15 03:57:24 | regression | 1 | 67641 | 4 | 1.080 | 62630.6 |
| 760 | 2025-09-28 13:42:02 | regression | 1 | 67641 | 4 | 1.283 | 52721.0 |
| 759 | 2025-09-27 06:30:02 | regression | 1 | 67641 | 4 | 1.170 | 57812.8 |
| 758 | 2025-09-26 10:08:22 | regression | 1 | 67641 | 4 | 1.236 | 54725.7 |
| 757 | 2025-09-25 22:32:34 | regression | 1 | 67641 | 4 | 4.466 | 15145.8 |
| 756 | 2025-09-25 13:59:23 | regression | 1 | 67641 | 4 | 3.310 | 20435.3 |
| 755 | 2025-09-24 17:46:42 | regression | 1 | 67641 | 4 | 1.190 | 56841.2 |
| 754 | 2025-09-17 12:04:36 | regression | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 753 | 2025-09-16 01:28:22 | regression | 1 | 67641 | 4 | 1.140 | 59334.2 |
| 752 | 2025-09-14 00:27:18 | regression | 3 | 140603 | 49 | 6.486 | 21677.9 |
| 751 | 2025-09-11 04:58:46 | regression | 1 | 67641 | 4 | 2.140 | 31607.9 |
| 750 | 2025-09-10 14:00:46 | regression | 3 | 140603 | 49 | 6.216 | 22619.5 |
| 749 | 2025-09-09 10:33:41 | regression | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 748 | 2025-09-04 18:32:37 | regression | 4 | 161450 | 190 | 12.000 | 13454.2 |
| 747 | 2025-09-02 22:45:01 | regression | 2 | 108824 | 15 | 3.110 | 34991.6 |
| 746 | 2025-09-01 23:43:49 | regression | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 745 | 2025-08-27 17:11:34 | regression | 3 | 140603 | 49 | 5.860 | 23993.7 |
| 744 | 2025-08-27 13:56:39 | regression | 3 | 140603 | 49 | 12.893 | 10905.4 |
| 743 | 2025-08-27 13:55:28 | regression | 2 | 108824 | 15 | 3.266 | 33320.3 |
| 742 | 2025-08-27 06:39:19 | regression | 1 | 67641 | 4 | 1.126 | 60071.9 |
| 741 | 2025-08-26 14:43:18 | regression | 2 | 108824 | 15 | 3.233 | 33660.4 |
| 740 | 2025-08-25 13:31:45 | regression | 1 | 67641 | 4 | 5.360 | 12619.6 |
| 739 | 2025-08-24 09:16:48 | regression | 3 | 140603 | 49 | 37.703 | 3729.2 |
| 738 | 2025-08-21 10:20:34 | regression | 2 | 108824 | 15 | 7.000 | 15546.3 |