History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subsets"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 847 | 2026-01-20 22:32:51 | subsets | 1 | 69583 | 6 | 1.216 | 57222.9 |
| 846 | 2026-01-20 01:34:31 | subsets | 2 | 107671 | 38 | 3.250 | 33129.5 |
| 845 | 2026-01-18 18:40:33 | subsets | 2 | 107671 | 38 | 3.216 | 33479.8 |
| 844 | 2026-01-16 01:17:03 | subsets | 1 | 69583 | 6 | 1.233 | 56433.9 |
| 843 | 2026-01-12 18:28:00 | subsets | 2 | 107671 | 38 | 3.436 | 31336.1 |
| 842 | 2026-01-10 02:53:49 | subsets | 3 | 134027 | 390 | 5.940 | 22563.5 |
| 841 | 2026-01-06 13:22:31 | subsets | 2 | 107671 | 38 | 3.420 | 31482.7 |
| 840 | 2026-01-05 10:02:15 | subsets | 2 | 107671 | 38 | 3.330 | 32333.6 |
| 839 | 2025-12-25 12:45:06 | subsets | 1 | 69583 | 6 | 3.483 | 19977.9 |
| 838 | 2025-12-25 12:44:49 | subsets | 1 | 69583 | 6 | 3.593 | 19366.3 |
| 837 | 2025-12-25 09:20:46 | subsets | 1 | 69583 | 6 | 1.343 | 51811.6 |
| 836 | 2025-12-24 11:47:31 | subsets | 2 | 107671 | 38 | 3.283 | 32796.5 |
| 835 | 2025-12-24 03:54:44 | subsets | 1 | 69583 | 6 | 1.873 | 37150.6 |
| 834 | 2025-12-22 21:43:26 | subsets | 3 | 134027 | 390 | 5.936 | 22578.7 |
| 833 | 2025-12-19 06:17:08 | subsets | 1 | 69583 | 6 | 1.220 | 57035.2 |
| 832 | 2025-12-15 01:07:51 | subsets | 2 | 107671 | 38 | 3.436 | 31336.1 |
| 831 | 2025-12-06 19:31:35 | subsets | 2 | 107671 | 38 | 3.233 | 33303.7 |
| 830 | 2025-11-30 15:55:16 | subsets | 2 | 107671 | 38 | 3.966 | 27148.5 |
| 829 | 2025-11-20 17:42:38 | subsets | 1 | 69583 | 6 | 1.140 | 61037.7 |
| 828 | 2025-11-08 02:16:43 | subsets | 2 | 107671 | 38 | 3.313 | 32499.5 |
| 827 | 2025-10-29 11:58:39 | subsets | 2 | 107671 | 38 | 3.173 | 33933.5 |
| 826 | 2025-10-23 17:52:50 | subsets | 3 | 134027 | 390 | 6.186 | 21666.2 |
| 825 | 2025-10-22 07:15:36 | subsets | 3 | 134027 | 390 | 6.610 | 20276.4 |
| 824 | 2025-10-15 12:53:52 | subsets | 3 | 134027 | 390 | 5.953 | 22514.2 |
| 823 | 2025-10-09 11:34:24 | subsets | 1 | 69583 | 6 | 1.266 | 54962.9 |
| 822 | 2025-10-05 12:43:45 | subsets | 1 | 69583 | 6 | 1.296 | 53690.6 |
| 821 | 2025-10-02 22:31:20 | subsets | 3 | 134027 | 390 | 6.546 | 20474.6 |
| 820 | 2025-09-30 08:21:47 | subsets | 1 | 69583 | 6 | 1.236 | 56296.9 |
| 819 | 2025-09-30 06:53:44 | subsets | 2 | 107671 | 38 | 2.856 | 37699.9 |
| 818 | 2025-09-29 05:29:09 | subsets | 2 | 107671 | 38 | 3.530 | 30501.7 |
| 817 | 2025-09-21 20:37:24 | subsets | 3 | 134027 | 390 | 6.986 | 19185.1 |
| 816 | 2025-09-21 18:04:43 | subsets | 2 | 107671 | 38 | 3.110 | 34620.9 |
| 815 | 2025-09-20 15:10:04 | subsets | 3 | 134027 | 390 | 6.970 | 19229.1 |
| 814 | 2025-09-18 04:32:04 | subsets | 3 | 134027 | 390 | 10.703 | 12522.4 |
| 813 | 2025-09-10 12:16:25 | subsets | 2 | 107671 | 38 | 3.326 | 32372.5 |
| 812 | 2025-09-07 20:47:25 | subsets | 1 | 69583 | 6 | 1.326 | 52475.9 |
| 811 | 2025-09-01 11:37:38 | subsets | 2 | 107671 | 38 | 3.283 | 32796.5 |
| 810 | 2025-09-01 05:56:47 | subsets | 1 | 69583 | 6 | 1.110 | 62687.4 |
| 809 | 2025-08-27 09:36:57 | subsets | 1 | 69583 | 6 | 1.140 | 61037.7 |
| 808 | 2025-08-24 12:20:54 | subsets | 1 | 69583 | 6 | 3.033 | 22942.0 |
| 807 | 2025-08-24 10:33:07 | subsets | 1 | 69583 | 6 | 6.470 | 10754.7 |
| 806 | 2025-08-17 08:44:51 | subsets | 1 | 69583 | 6 | 4.703 | 14795.4 |
| 805 | 2025-08-09 09:09:21 | subsets | 1 | 69583 | 6 | 6.673 | 10427.5 |
| 804 | 2025-08-02 04:16:19 | subsets | 2 | 107671 | 38 | 9.546 | 11279.2 |
| 803 | 2025-07-31 19:50:10 | subsets | 3 | 134027 | 390 | 31.593 | 4242.3 |
| 802 | 2025-07-31 17:33:57 | subsets | 1 | 69583 | 6 | 6.736 | 10330.0 |
| 801 | 2025-07-27 10:08:48 | subsets | 2 | 107671 | 38 | 11.610 | 9274.0 |
| 800 | 2025-07-27 03:01:45 | subsets | 3 | 134027 | 390 | 17.063 | 7854.8 |
| 799 | 2025-07-26 09:50:00 | subsets | 2 | 107671 | 38 | 5.423 | 19854.5 |
| 798 | 2025-07-26 09:37:14 | subsets | 3 | 134027 | 390 | 13.576 | 9872.3 |
| 797 | 2025-07-25 09:32:14 | subsets | 1 | 69583 | 6 | 4.283 | 16246.3 |
| 796 | 2025-07-24 15:51:11 | subsets | 1 | 69583 | 6 | 5.486 | 12683.7 |
| 795 | 2025-07-23 08:44:11 | subsets | 1 | 69583 | 6 | 3.110 | 22374.0 |
| 794 | 2025-07-23 07:13:06 | subsets | 1 | 69583 | 6 | 3.670 | 18959.9 |
| 793 | 2025-07-23 03:49:45 | subsets | 1 | 69583 | 6 | 2.906 | 23944.6 |
| 792 | 2025-07-05 09:29:17 | subsets | 1 | 69583 | 6 | 3.436 | 20251.2 |
| 791 | 2025-07-04 16:20:36 | subsets | 1 | 69583 | 6 | 7.313 | 9515.0 |
| 790 | 2025-06-26 08:54:28 | subsets | 1 | 69583 | 6 | 6.003 | 11591.4 |
| 789 | 2025-06-12 06:22:38 | subsets | 1 | 69583 | 6 | 5.516 | 12614.8 |
| 788 | 2025-06-04 16:17:14 | subsets | 1 | 69583 | 6 | 3.016 | 23071.3 |
| 787 | 2025-06-04 00:26:26 | subsets | 1 | 69583 | 6 | 6.203 | 11217.6 |
| 786 | 2025-06-02 09:25:27 | subsets | 1 | 69583 | 6 | 5.953 | 11688.7 |
| 785 | 2025-05-26 09:24:42 | subsets | 1 | 69583 | 6 | 4.453 | 15626.1 |
| 784 | 2025-05-24 00:14:11 | subsets | 1 | 69583 | 6 | 9.016 | 7717.7 |
| 783 | 2025-05-22 11:10:54 | subsets | 1 | 69583 | 6 | 6.110 | 11388.4 |
| 782 | 2025-05-11 05:19:06 | subsets | 1 | 69583 | 6 | 4.953 | 14048.7 |
| 781 | 2025-05-10 06:20:23 | subsets | 1 | 69583 | 6 | 5.983 | 11630.1 |
| 780 | 2025-05-03 15:36:06 | subsets | 1 | 69583 | 6 | 7.406 | 9395.5 |
| 779 | 2025-04-30 09:33:25 | subsets | 1 | 69583 | 6 | 3.656 | 19032.5 |
| 778 | 2025-04-28 15:51:53 | subsets | 2 | 107671 | 38 | 12.233 | 8801.7 |
| 777 | 2025-04-23 08:16:43 | subsets | 1 | 69583 | 6 | 5.970 | 11655.4 |
| 776 | 2025-04-13 16:26:04 | subsets | 1 | 69583 | 6 | 1.296 | 53690.6 |
| 775 | 2025-04-08 05:30:52 | subsets | 1 | 69583 | 6 | 1.156 | 60192.9 |
| 774 | 2025-04-02 15:30:40 | subsets | 1 | 69583 | 6 | 3.313 | 21003.0 |
| 773 | 2025-04-02 10:13:55 | subsets | 3 | 134027 | 390 | 31.736 | 4223.2 |
| 772 | 2025-03-31 10:33:29 | subsets | 3 | 134027 | 390 | 37.110 | 3611.6 |
| 771 | 2025-03-31 01:43:33 | subsets | 3 | 134027 | 390 | 31.096 | 4310.1 |
| 770 | 2025-03-30 23:26:18 | subsets | 3 | 134027 | 390 | 27.860 | 4810.7 |
| 769 | 2025-03-29 15:50:01 | subsets | 3 | 134027 | 390 | 29.110 | 4604.2 |
| 768 | 2025-03-29 11:37:33 | subsets | 1 | 69583 | 6 | 3.843 | 18106.4 |
| 767 | 2025-03-23 10:30:31 | subsets | 1 | 69583 | 6 | 7.640 | 9107.7 |
| 766 | 2025-03-20 13:13:35 | subsets | 1 | 69583 | 6 | 5.810 | 11976.4 |
| 765 | 2025-03-08 19:52:34 | subsets | 1 | 69583 | 6 | 5.766 | 12067.8 |
| 764 | 2025-03-03 01:13:52 | subsets | 1 | 69583 | 6 | 4.736 | 14692.4 |
| 763 | 2025-02-27 15:52:49 | subsets | 3 | 134027 | 390 | 28.830 | 4648.9 |
| 762 | 2025-02-27 12:46:26 | subsets | 3 | 134027 | 390 | 32.500 | 4123.9 |
| 761 | 2025-02-27 11:05:59 | subsets | 3 | 134027 | 390 | 30.180 | 4440.9 |
| 760 | 2025-02-26 23:01:01 | subsets | 3 | 134027 | 390 | 17.486 | 7664.8 |
| 759 | 2025-02-26 16:21:57 | subsets | 3 | 134027 | 390 | 34.733 | 3858.8 |
| 758 | 2025-02-26 10:31:49 | subsets | 3 | 134027 | 390 | 10.736 | 12483.9 |
| 757 | 2025-02-26 01:57:13 | subsets | 1 | 69583 | 6 | 8.176 | 8510.6 |
| 756 | 2025-02-24 19:14:13 | subsets | 2 | 107671 | 38 | 14.580 | 7384.8 |
| 755 | 2025-02-20 12:27:00 | subsets | 2 | 107671 | 38 | 7.440 | 14471.9 |
| 754 | 2025-02-13 09:01:46 | subsets | 1 | 69583 | 6 | 3.780 | 18408.2 |
| 753 | 2025-02-09 08:29:02 | subsets | 1 | 69583 | 6 | 5.720 | 12164.9 |
| 752 | 2025-01-30 09:09:22 | subsets | 1 | 69583 | 6 | 3.173 | 21929.7 |
| 751 | 2025-01-26 01:54:15 | subsets | 1 | 69583 | 6 | 6.126 | 11358.6 |
| 750 | 2025-01-11 06:28:08 | subsets | 1 | 69583 | 6 | 7.250 | 9597.7 |
| 749 | 2024-12-28 10:35:27 | subsets | 1 | 69583 | 6 | 6.390 | 10889.4 |
| 748 | 2024-12-23 17:54:15 | subsets | 1 | 69583 | 6 | 2.936 | 23699.9 |