History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"linear"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 842 | 2026-04-14 23:53:49 | linear | 2 | 82551 | 57 | 2.703 | 30540.5 |
| 841 | 2026-04-13 20:19:33 | linear | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 840 | 2026-04-06 13:04:03 | linear | 1 | 48755 | 3 | 1.453 | 33554.7 |
| 839 | 2026-04-05 08:14:12 | linear | 1 | 48755 | 3 | 4.456 | 10941.4 |
| 838 | 2026-04-02 00:09:51 | linear | 3 | 112716 | 718 | 24.703 | 4562.8 |
| 837 | 2026-04-01 07:00:41 | linear | 1 | 48755 | 3 | 3.953 | 12333.7 |
| 836 | 2026-03-31 19:52:35 | linear | 1 | 48755 | 3 | 1.876 | 25988.8 |
| 835 | 2026-03-31 11:19:33 | linear | 3 | 112716 | 718 | 31.843 | 3539.7 |
| 834 | 2026-03-31 11:18:47 | linear | 3 | 112716 | 718 | 28.343 | 3976.9 |
| 833 | 2026-03-31 01:00:34 | linear | 3 | 112716 | 718 | 24.253 | 4647.5 |
| 832 | 2026-03-30 18:13:03 | linear | 2 | 82551 | 57 | 11.643 | 7090.2 |
| 831 | 2026-03-30 12:06:18 | linear | 1 | 48755 | 3 | 5.436 | 8968.9 |
| 830 | 2026-03-29 16:20:55 | linear | 1 | 48755 | 3 | 1.580 | 30857.6 |
| 829 | 2026-03-29 10:09:09 | linear | 1 | 48755 | 3 | 1.716 | 28412.0 |
| 828 | 2026-03-28 11:07:47 | linear | 3 | 112716 | 718 | 45.706 | 2466.1 |
| 827 | 2026-03-24 11:50:13 | linear | 3 | 112716 | 718 | 26.110 | 4317.0 |
| 826 | 2026-03-23 19:28:39 | linear | 2 | 82551 | 57 | 8.530 | 9677.7 |
| 825 | 2026-03-22 09:45:21 | linear | 1 | 48755 | 3 | 0.826 | 59025.4 |
| 824 | 2026-03-21 02:12:18 | linear | 2 | 82551 | 57 | 12.143 | 6798.2 |
| 823 | 2026-03-19 23:38:06 | linear | 2 | 82551 | 57 | 3.220 | 25637.0 |
| 822 | 2026-03-19 12:26:20 | linear | 3 | 112716 | 718 | 19.640 | 5739.1 |
| 821 | 2026-03-17 18:17:38 | linear | 1 | 48755 | 3 | 1.190 | 40970.6 |
| 820 | 2026-03-17 04:27:42 | linear | 1 | 48755 | 3 | 3.343 | 14584.2 |
| 819 | 2026-03-17 02:28:04 | linear | 1 | 48755 | 3 | 1.106 | 44082.3 |
| 818 | 2026-03-17 01:17:11 | linear | 2 | 82551 | 57 | 6.170 | 13379.4 |
| 817 | 2026-03-17 01:13:13 | linear | 2 | 82551 | 57 | 4.390 | 18804.3 |
| 816 | 2026-03-15 22:20:05 | linear | 2 | 82551 | 57 | 7.063 | 11687.8 |
| 815 | 2026-03-15 22:20:02 | linear | 2 | 82551 | 57 | 7.050 | 11709.4 |
| 814 | 2026-03-12 02:34:54 | linear | 3 | 112716 | 718 | 5.626 | 20034.8 |
| 813 | 2026-03-10 09:34:55 | linear | 1 | 48755 | 3 | 0.860 | 56691.9 |
| 812 | 2026-03-09 19:09:53 | linear | 1 | 48755 | 3 | 1.483 | 32875.9 |
| 811 | 2026-03-09 17:13:46 | linear | 3 | 112716 | 718 | 16.016 | 7037.7 |
| 810 | 2026-03-09 15:22:48 | linear | 3 | 112716 | 718 | 6.470 | 17421.3 |
| 809 | 2026-03-08 03:42:39 | linear | 3 | 112716 | 718 | 10.936 | 10306.9 |
| 808 | 2026-03-07 21:27:16 | linear | 1 | 48755 | 3 | 0.876 | 55656.4 |
| 807 | 2026-02-25 18:59:32 | linear | 3 | 112716 | 718 | 8.580 | 13137.1 |
| 806 | 2026-02-25 13:48:59 | linear | 1 | 48755 | 3 | 0.873 | 55847.7 |
| 805 | 2026-02-25 00:07:19 | linear | 2 | 82551 | 57 | 2.580 | 31996.5 |
| 804 | 2026-02-23 12:17:02 | linear | 2 | 82551 | 57 | 2.983 | 27673.8 |
| 803 | 2026-02-06 14:17:17 | linear | 1 | 48755 | 3 | 0.876 | 55656.4 |
| 802 | 2026-02-02 11:10:35 | linear | 3 | 112716 | 718 | 5.736 | 19650.6 |
| 801 | 2026-01-30 10:27:39 | linear | 1 | 48755 | 3 | 0.983 | 49598.2 |
| 800 | 2026-01-29 01:34:41 | linear | 3 | 112716 | 718 | 5.643 | 19974.5 |
| 799 | 2026-01-28 04:54:04 | linear | 1 | 48755 | 3 | 2.220 | 21961.7 |
| 798 | 2026-01-24 05:12:32 | linear | 3 | 112716 | 718 | 6.313 | 17854.6 |
| 797 | 2026-01-23 15:25:40 | linear | 3 | 112716 | 718 | 9.343 | 12064.2 |
| 796 | 2026-01-23 15:25:26 | linear | 3 | 112716 | 718 | 5.423 | 20784.8 |
| 795 | 2026-01-22 20:39:36 | linear | 1 | 48755 | 3 | 1.500 | 32503.3 |
| 794 | 2026-01-22 12:17:56 | linear | 1 | 48755 | 3 | 4.423 | 11023.1 |
| 793 | 2026-01-22 12:17:36 | linear | 1 | 48755 | 3 | 4.610 | 10575.9 |
| 792 | 2026-01-22 12:17:24 | linear | 1 | 48755 | 3 | 4.453 | 10948.8 |
| 791 | 2026-01-21 15:31:01 | linear | 1 | 48755 | 3 | 0.830 | 58741.0 |
| 790 | 2026-01-21 01:12:55 | linear | 3 | 112716 | 718 | 5.860 | 19234.8 |
| 789 | 2026-01-20 06:54:13 | linear | 3 | 112716 | 718 | 11.530 | 9775.9 |
| 788 | 2026-01-19 14:00:42 | linear | 3 | 112716 | 718 | 12.516 | 9005.8 |
| 787 | 2026-01-17 22:08:39 | linear | 3 | 112716 | 718 | 18.873 | 5972.3 |
| 786 | 2026-01-11 09:47:35 | linear | 1 | 48755 | 3 | 0.876 | 55656.4 |
| 785 | 2026-01-09 22:18:41 | linear | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 784 | 2026-01-08 22:31:53 | linear | 3 | 112716 | 718 | 4.936 | 22835.5 |
| 783 | 2026-01-08 16:57:43 | linear | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 782 | 2026-01-08 10:06:13 | linear | 3 | 112716 | 718 | 19.720 | 5715.8 |
| 781 | 2026-01-05 12:37:01 | linear | 1 | 48755 | 3 | 0.813 | 59969.2 |
| 780 | 2026-01-02 14:50:46 | linear | 2 | 82551 | 57 | 2.576 | 32046.2 |
| 779 | 2026-01-01 18:08:23 | linear | 2 | 82551 | 57 | 3.170 | 26041.3 |
| 778 | 2025-12-28 17:32:09 | linear | 1 | 48755 | 3 | 0.890 | 54780.9 |
| 777 | 2025-12-26 17:11:16 | linear | 1 | 48755 | 3 | 1.830 | 26642.1 |
| 776 | 2025-12-26 17:09:27 | linear | 1 | 48755 | 3 | 1.783 | 27344.4 |
| 775 | 2025-12-23 03:37:35 | linear | 1 | 48755 | 3 | 1.470 | 33166.7 |
| 774 | 2025-12-21 00:18:46 | linear | 3 | 112716 | 718 | 5.500 | 20493.8 |
| 773 | 2025-12-16 23:37:41 | linear | 3 | 112716 | 718 | 22.380 | 5036.5 |
| 772 | 2025-12-16 07:17:14 | linear | 3 | 112716 | 718 | 5.206 | 21651.2 |
| 771 | 2025-12-15 23:36:51 | linear | 1 | 48755 | 3 | 0.920 | 52994.6 |
| 770 | 2025-12-15 18:51:41 | linear | 3 | 112716 | 718 | 6.253 | 18025.9 |
| 769 | 2025-12-02 10:37:21 | linear | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 768 | 2025-12-01 11:02:34 | linear | 1 | 48755 | 3 | 0.860 | 56691.9 |
| 767 | 2025-11-28 10:59:36 | linear | 1 | 48755 | 3 | 0.890 | 54780.9 |
| 766 | 2025-11-25 19:46:31 | linear | 1 | 48755 | 3 | 0.936 | 52088.7 |
| 765 | 2025-11-25 09:12:02 | linear | 1 | 48755 | 3 | 0.906 | 53813.5 |
| 764 | 2025-11-24 18:22:19 | linear | 3 | 112716 | 718 | 12.873 | 8756.0 |
| 763 | 2025-11-22 22:27:11 | linear | 2 | 82551 | 57 | 3.796 | 21746.8 |
| 762 | 2025-11-20 17:39:22 | linear | 1 | 48755 | 3 | 1.890 | 25796.3 |
| 761 | 2025-11-20 04:17:16 | linear | 3 | 112716 | 718 | 7.656 | 14722.6 |
| 760 | 2025-11-17 03:51:01 | linear | 1 | 48755 | 3 | 0.873 | 55847.7 |
| 759 | 2025-11-16 18:31:27 | linear | 1 | 48755 | 3 | 0.873 | 55847.7 |
| 758 | 2025-11-14 13:10:51 | linear | 3 | 112716 | 718 | 14.280 | 7893.3 |
| 757 | 2025-11-13 06:59:24 | linear | 1 | 48755 | 3 | 0.936 | 52088.7 |
| 756 | 2025-11-13 06:36:30 | linear | 3 | 112716 | 718 | 5.936 | 18988.5 |
| 755 | 2025-11-12 01:45:29 | linear | 1 | 48755 | 3 | 0.826 | 59025.4 |
| 754 | 2025-11-11 22:07:04 | linear | 1 | 48755 | 3 | 0.783 | 62266.9 |
| 753 | 2025-11-04 22:43:20 | linear | 3 | 112716 | 718 | 5.546 | 20323.8 |
| 752 | 2025-10-31 12:30:49 | linear | 1 | 48755 | 3 | 0.846 | 57630.0 |
| 751 | 2025-10-29 15:39:46 | linear | 3 | 112716 | 718 | 5.736 | 19650.6 |
| 750 | 2025-10-27 12:22:05 | linear | 1 | 48755 | 3 | 0.860 | 56691.9 |
| 749 | 2025-10-26 12:07:51 | linear | 1 | 48755 | 3 | 1.766 | 27607.6 |
| 748 | 2025-10-25 09:45:38 | linear | 1 | 48755 | 3 | 0.766 | 63648.8 |
| 747 | 2025-10-24 20:22:19 | linear | 3 | 112716 | 718 | 5.046 | 22337.7 |
| 746 | 2025-10-23 17:32:49 | linear | 3 | 112716 | 718 | 5.890 | 19136.8 |
| 745 | 2025-10-22 23:46:47 | linear | 3 | 112716 | 718 | 17.783 | 6338.4 |
| 744 | 2025-10-17 03:11:49 | linear | 1 | 48755 | 3 | 0.780 | 62506.4 |
| 743 | 2025-10-15 19:37:13 | linear | 1 | 48755 | 3 | 0.766 | 63648.8 |