History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"variances"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 830 | 2025-11-03 05:16:48 | variances | 1 | 81242 | 3 | 1.263 | 64324.6 |
| 829 | 2025-10-16 05:26:15 | variances | 1 | 81242 | 3 | 1.360 | 59736.8 |
| 828 | 2025-10-02 10:40:08 | variances | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 827 | 2025-09-30 08:50:30 | variances | 1 | 81242 | 3 | 1.360 | 59736.8 |
| 826 | 2025-09-28 16:32:18 | variances | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 825 | 2025-09-27 15:51:41 | variances | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 824 | 2025-09-24 11:55:07 | variances | 1 | 81242 | 3 | 1.266 | 64172.2 |
| 823 | 2025-09-23 10:56:24 | variances | 1 | 81242 | 3 | 1.513 | 53696.0 |
| 822 | 2025-09-23 00:01:03 | variances | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 821 | 2025-09-22 22:01:27 | variances | 1 | 81242 | 3 | 1.360 | 59736.8 |
| 820 | 2025-09-22 22:01:22 | variances | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 819 | 2025-09-18 19:45:53 | variances | 1 | 81242 | 3 | 2.266 | 35852.6 |
| 818 | 2025-09-15 16:51:19 | variances | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 817 | 2025-09-09 01:57:14 | variances | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 816 | 2025-08-28 12:19:10 | variances | 1 | 81242 | 3 | 1.326 | 61268.5 |
| 815 | 2025-08-09 03:32:45 | variances | 1 | 81242 | 3 | 6.906 | 11764.0 |
| 814 | 2025-08-06 09:25:01 | variances | 1 | 81242 | 3 | 6.783 | 11977.3 |
| 813 | 2025-07-28 13:37:49 | variances | 2 | 121436 | 16 | 9.640 | 12597.1 |
| 812 | 2025-07-28 11:51:52 | variances | 3 | 148641 | 80 | 19.763 | 7521.2 |
| 811 | 2025-07-26 12:08:55 | variances | 1 | 81242 | 3 | 2.970 | 27354.2 |
| 810 | 2025-07-25 08:11:39 | variances | 2 | 121436 | 16 | 14.783 | 8214.6 |
| 809 | 2025-07-25 07:57:30 | variances | 3 | 148641 | 80 | 33.533 | 4432.7 |
| 808 | 2025-07-25 06:21:53 | variances | 1 | 81242 | 3 | 4.686 | 17337.2 |
| 807 | 2025-07-24 21:57:05 | variances | 2 | 121436 | 16 | 17.110 | 7097.4 |
| 806 | 2025-07-23 18:13:07 | variances | 3 | 148641 | 80 | 38.750 | 3835.9 |
| 805 | 2025-07-23 08:33:15 | variances | 1 | 81242 | 3 | 9.703 | 8372.9 |
| 804 | 2025-07-22 09:44:45 | variances | 1 | 81242 | 3 | 1.376 | 59042.2 |
| 803 | 2025-07-18 13:34:40 | variances | 3 | 148641 | 80 | 36.423 | 4081.0 |
| 802 | 2025-07-13 20:10:20 | variances | 2 | 121436 | 16 | 17.720 | 6853.0 |
| 801 | 2025-07-12 04:38:57 | variances | 3 | 148641 | 80 | 7.610 | 19532.3 |
| 800 | 2025-07-10 14:10:56 | variances | 1 | 81242 | 3 | 4.763 | 17056.9 |
| 799 | 2025-07-05 11:38:30 | variances | 3 | 148641 | 80 | 35.986 | 4130.5 |
| 798 | 2025-07-05 09:08:12 | variances | 3 | 148641 | 80 | 29.596 | 5022.3 |
| 797 | 2025-07-03 15:22:01 | variances | 3 | 148641 | 80 | 7.283 | 20409.3 |
| 796 | 2025-06-27 04:40:14 | variances | 3 | 148641 | 80 | 27.923 | 5323.2 |
| 795 | 2025-06-26 03:12:48 | variances | 1 | 81242 | 3 | 3.673 | 22118.7 |
| 794 | 2025-06-25 04:45:46 | variances | 3 | 148641 | 80 | 35.376 | 4201.7 |
| 793 | 2025-06-21 08:38:15 | variances | 3 | 148641 | 80 | 31.016 | 4792.4 |
| 792 | 2025-06-17 18:53:57 | variances | 1 | 81242 | 3 | 1.343 | 60492.9 |
| 791 | 2025-06-17 10:58:15 | variances | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 790 | 2025-06-15 18:22:46 | variances | 1 | 81242 | 3 | 1.263 | 64324.6 |
| 789 | 2025-06-14 08:34:38 | variances | 2 | 121436 | 16 | 19.343 | 6278.0 |
| 788 | 2025-06-13 14:49:57 | variances | 4 | 165329 | 658 | 12.830 | 12886.1 |
| 787 | 2025-06-13 11:26:14 | variances | 3 | 148641 | 80 | 7.440 | 19978.6 |
| 786 | 2025-06-13 09:00:06 | variances | 4 | 165329 | 658 | 16.016 | 10322.7 |
| 785 | 2025-06-13 01:07:44 | variances | 1 | 81242 | 3 | 1.233 | 65889.7 |
| 784 | 2025-06-10 15:47:05 | variances | 3 | 148641 | 80 | 20.656 | 7196.0 |
| 783 | 2025-06-08 16:07:07 | variances | 3 | 148641 | 80 | 36.626 | 4058.3 |
| 782 | 2025-06-08 05:05:21 | variances | 4 | 165329 | 658 | 48.986 | 3375.0 |
| 781 | 2025-06-08 02:44:05 | variances | 4 | 165329 | 658 | 79.936 | 2068.3 |
| 780 | 2025-06-07 10:08:01 | variances | 4 | 165329 | 658 | 56.190 | 2942.3 |
| 779 | 2025-06-05 10:35:10 | variances | 1 | 81242 | 3 | 4.936 | 16459.1 |
| 778 | 2025-05-29 12:30:16 | variances | 1 | 81242 | 3 | 5.060 | 16055.7 |
| 777 | 2025-05-28 00:29:15 | variances | 3 | 148641 | 80 | 10.186 | 14592.7 |
| 776 | 2025-05-24 06:47:40 | variances | 1 | 81242 | 3 | 3.513 | 23126.1 |
| 775 | 2025-05-22 11:46:53 | variances | 1 | 81242 | 3 | 6.563 | 12378.8 |
| 774 | 2025-05-20 13:32:35 | variances | 1 | 81242 | 3 | 12.826 | 6334.2 |
| 773 | 2025-05-15 17:02:45 | variances | 1 | 81242 | 3 | 1.580 | 51419.0 |
| 772 | 2025-05-12 01:27:50 | variances | 1 | 81242 | 3 | 8.733 | 9302.9 |
| 771 | 2025-05-03 17:10:27 | variances | 3 | 148641 | 80 | 6.530 | 22762.8 |
| 770 | 2025-05-02 12:10:49 | variances | 1 | 81242 | 3 | 9.920 | 8189.7 |
| 769 | 2025-05-01 05:35:34 | variances | 1 | 81242 | 3 | 5.440 | 14934.2 |
| 768 | 2025-04-23 05:12:36 | variances | 1 | 81242 | 3 | 7.313 | 11109.3 |
| 767 | 2025-04-23 03:23:58 | variances | 1 | 81242 | 3 | 3.860 | 21047.2 |
| 766 | 2025-04-20 10:10:11 | variances | 2 | 121436 | 16 | 9.813 | 12375.0 |
| 765 | 2025-04-16 20:01:51 | variances | 3 | 148641 | 80 | 16.406 | 9060.2 |
| 764 | 2025-04-16 14:56:42 | variances | 3 | 148641 | 80 | 44.110 | 3369.8 |
| 763 | 2025-04-15 21:56:09 | variances | 2 | 121436 | 16 | 27.723 | 4380.3 |
| 762 | 2025-04-15 13:03:39 | variances | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 761 | 2025-04-11 01:24:09 | variances | 1 | 81242 | 3 | 3.923 | 20709.2 |
| 760 | 2025-04-09 01:51:05 | variances | 4 | 165329 | 658 | 66.113 | 2500.7 |
| 759 | 2025-04-09 00:15:52 | variances | 4 | 165329 | 658 | 71.333 | 2317.7 |
| 758 | 2025-04-08 12:51:30 | variances | 4 | 165329 | 658 | 56.520 | 2925.1 |
| 757 | 2025-04-07 08:35:18 | variances | 4 | 165329 | 658 | 14.906 | 11091.4 |
| 756 | 2025-04-07 07:12:33 | variances | 1 | 81242 | 3 | 3.470 | 23412.7 |
| 755 | 2025-04-07 03:17:13 | variances | 4 | 165329 | 658 | 67.893 | 2435.1 |
| 754 | 2025-04-07 02:16:21 | variances | 4 | 165329 | 658 | 58.673 | 2817.8 |
| 753 | 2025-04-06 20:14:03 | variances | 1 | 81242 | 3 | 6.763 | 12012.7 |
| 752 | 2025-04-05 20:36:15 | variances | 4 | 165329 | 658 | 47.813 | 3457.8 |
| 751 | 2025-04-02 12:02:40 | variances | 1 | 81242 | 3 | 9.266 | 8767.8 |
| 750 | 2025-03-25 18:44:52 | variances | 3 | 148641 | 80 | 28.016 | 5305.6 |
| 749 | 2025-03-25 17:43:36 | variances | 3 | 148641 | 80 | 21.750 | 6834.1 |
| 748 | 2025-03-23 21:40:25 | variances | 2 | 121436 | 16 | 27.110 | 4479.4 |
| 747 | 2025-03-23 21:06:53 | variances | 3 | 148641 | 80 | 26.766 | 5553.4 |
| 746 | 2025-03-23 00:07:03 | variances | 1 | 81242 | 3 | 7.656 | 10611.5 |
| 745 | 2025-03-22 05:02:27 | variances | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 744 | 2025-03-20 06:25:37 | variances | 1 | 81242 | 3 | 7.076 | 11481.3 |
| 743 | 2025-03-15 13:28:34 | variances | 2 | 121436 | 16 | 23.003 | 5279.1 |
| 742 | 2025-03-15 13:21:35 | variances | 1 | 81242 | 3 | 6.313 | 12869.0 |
| 741 | 2025-03-14 16:13:27 | variances | 1 | 81242 | 3 | 6.516 | 12468.1 |
| 740 | 2025-02-22 08:43:08 | variances | 3 | 148641 | 80 | 47.143 | 3153.0 |
| 739 | 2025-02-13 10:54:44 | variances | 3 | 148641 | 80 | 43.910 | 3385.1 |
| 738 | 2025-02-13 07:10:57 | variances | 4 | 165329 | 658 | 66.536 | 2484.8 |
| 737 | 2025-02-13 07:10:44 | variances | 3 | 148641 | 80 | 37.063 | 4010.5 |
| 736 | 2025-02-13 07:10:38 | variances | 2 | 121436 | 16 | 18.453 | 6580.8 |
| 735 | 2025-02-13 07:07:35 | variances | 1 | 81242 | 3 | 5.000 | 16248.4 |
| 734 | 2025-02-04 11:28:10 | variances | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 733 | 2025-02-02 16:22:00 | variances | 1 | 81242 | 3 | 9.860 | 8239.6 |
| 732 | 2025-01-28 17:33:43 | variances | 1 | 81242 | 3 | 3.830 | 21212.0 |
| 731 | 2025-01-08 14:04:34 | variances | 1 | 81242 | 3 | 6.550 | 12403.4 |