History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"skeets"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 786 | 2025-11-15 09:12:34 | skeets | 1 | 48755 | 8 | 0.953 | 51159.5 |
| 785 | 2025-11-13 12:58:11 | skeets | 2 | 82551 | 90 | 5.126 | 16104.4 |
| 784 | 2025-11-13 11:38:16 | skeets | 3 | 112716 | 943 | 5.126 | 21989.1 |
| 783 | 2025-11-11 22:25:30 | skeets | 1 | 48755 | 8 | 0.920 | 52994.6 |
| 782 | 2025-11-03 23:08:53 | skeets | 3 | 112716 | 943 | 14.093 | 7998.0 |
| 781 | 2025-11-01 00:11:01 | skeets | 3 | 112716 | 943 | 5.550 | 20309.2 |
| 780 | 2025-10-30 18:49:52 | skeets | 2 | 82551 | 90 | 2.673 | 30883.3 |
| 779 | 2025-10-25 06:01:52 | skeets | 1 | 48755 | 8 | 0.906 | 53813.5 |
| 778 | 2025-10-25 04:55:59 | skeets | 1 | 48755 | 8 | 0.813 | 59969.2 |
| 777 | 2025-10-24 20:12:47 | skeets | 1 | 48755 | 8 | 1.063 | 45865.5 |
| 776 | 2025-10-22 14:24:35 | skeets | 1 | 48755 | 8 | 1.843 | 26454.2 |
| 775 | 2025-10-21 18:52:33 | skeets | 1 | 48755 | 8 | 0.826 | 59025.4 |
| 774 | 2025-10-20 23:10:09 | skeets | 1 | 48755 | 8 | 3.406 | 14314.4 |
| 773 | 2025-10-20 23:10:08 | skeets | 1 | 48755 | 8 | 2.326 | 20960.9 |
| 772 | 2025-10-18 12:46:54 | skeets | 1 | 48755 | 8 | 0.826 | 59025.4 |
| 771 | 2025-10-11 20:27:14 | skeets | 2 | 82551 | 90 | 2.156 | 38289.0 |
| 770 | 2025-10-08 03:09:55 | skeets | 3 | 112716 | 943 | 4.843 | 23274.0 |
| 769 | 2025-10-06 04:17:49 | skeets | 1 | 48755 | 8 | 0.766 | 63648.8 |
| 768 | 2025-10-03 17:26:38 | skeets | 3 | 112716 | 943 | 4.720 | 23880.5 |
| 767 | 2025-09-30 01:59:38 | skeets | 1 | 48755 | 8 | 1.750 | 27860.0 |
| 766 | 2025-09-29 21:59:00 | skeets | 1 | 48755 | 8 | 0.783 | 62266.9 |
| 765 | 2025-09-27 00:15:53 | skeets | 1 | 48755 | 8 | 0.876 | 55656.4 |
| 764 | 2025-09-25 13:17:43 | skeets | 1 | 48755 | 8 | 3.186 | 15302.9 |
| 763 | 2025-09-23 05:22:26 | skeets | 1 | 48755 | 8 | 0.846 | 57630.0 |
| 762 | 2025-09-22 22:32:36 | skeets | 1 | 48755 | 8 | 0.906 | 53813.5 |
| 761 | 2025-09-20 20:13:52 | skeets | 1 | 48755 | 8 | 0.780 | 62506.4 |
| 760 | 2025-09-20 20:13:47 | skeets | 1 | 48755 | 8 | 0.846 | 57630.0 |
| 759 | 2025-09-18 17:25:35 | skeets | 3 | 112716 | 943 | 7.140 | 15786.6 |
| 758 | 2025-09-17 12:29:18 | skeets | 1 | 48755 | 8 | 0.873 | 55847.7 |
| 757 | 2025-09-11 12:34:08 | skeets | 2 | 82551 | 90 | 2.500 | 33020.4 |
| 756 | 2025-09-09 14:05:48 | skeets | 1 | 48755 | 8 | 0.890 | 54780.9 |
| 755 | 2025-09-07 12:57:30 | skeets | 1 | 48755 | 8 | 0.843 | 57835.1 |
| 754 | 2025-09-06 11:15:46 | skeets | 3 | 112716 | 943 | 5.906 | 19085.0 |
| 753 | 2025-08-25 13:02:53 | skeets | 1 | 48755 | 8 | 4.030 | 12098.0 |
| 752 | 2025-08-24 04:37:47 | skeets | 1 | 48755 | 8 | 5.813 | 8387.2 |
| 751 | 2025-08-17 12:27:20 | skeets | 1 | 48755 | 8 | 1.970 | 24748.7 |
| 750 | 2025-08-13 10:01:46 | skeets | 1 | 48755 | 8 | 2.326 | 20960.9 |
| 749 | 2025-08-12 02:05:26 | skeets | 1 | 48755 | 8 | 4.190 | 11636.0 |
| 748 | 2025-08-09 08:25:37 | skeets | 1 | 48755 | 8 | 4.233 | 11517.8 |
| 747 | 2025-08-04 13:26:23 | skeets | 3 | 112716 | 943 | 33.126 | 3402.6 |
| 746 | 2025-08-04 01:36:37 | skeets | 3 | 112716 | 943 | 33.860 | 3328.9 |
| 745 | 2025-08-03 02:07:45 | skeets | 3 | 112716 | 943 | 13.110 | 8597.7 |
| 744 | 2025-08-01 07:19:33 | skeets | 1 | 48755 | 8 | 3.576 | 13633.9 |
| 743 | 2025-07-31 12:38:48 | skeets | 2 | 82551 | 90 | 2.946 | 28021.4 |
| 742 | 2025-07-30 07:10:37 | skeets | 2 | 82551 | 90 | 6.266 | 13174.4 |
| 741 | 2025-07-28 21:49:16 | skeets | 1 | 48755 | 8 | 4.233 | 11517.8 |
| 740 | 2025-07-28 00:48:44 | skeets | 3 | 112716 | 943 | 13.750 | 8197.5 |
| 739 | 2025-07-24 17:21:03 | skeets | 1 | 48755 | 8 | 4.110 | 11862.5 |
| 738 | 2025-07-23 06:19:48 | skeets | 1 | 48755 | 8 | 2.390 | 20399.6 |
| 737 | 2025-07-22 16:11:53 | skeets | 1 | 48755 | 8 | 5.093 | 9572.9 |
| 736 | 2025-07-14 04:04:18 | skeets | 1 | 48755 | 8 | 3.283 | 14850.7 |
| 735 | 2025-07-10 09:41:44 | skeets | 1 | 48755 | 8 | 0.860 | 56691.9 |
| 734 | 2025-07-09 08:22:55 | skeets | 1 | 48755 | 8 | 2.206 | 22101.1 |
| 733 | 2025-07-07 13:53:02 | skeets | 1 | 48755 | 8 | 4.656 | 10471.4 |
| 732 | 2025-07-07 06:21:02 | skeets | 3 | 112716 | 943 | 28.203 | 3996.6 |
| 731 | 2025-07-04 20:15:36 | skeets | 3 | 112716 | 943 | 5.373 | 20978.2 |
| 730 | 2025-07-02 15:01:00 | skeets | 1 | 48755 | 8 | 2.266 | 21515.9 |
| 729 | 2025-06-22 12:59:30 | skeets | 1 | 48755 | 8 | 4.156 | 11731.2 |
| 728 | 2025-06-19 22:42:23 | skeets | 2 | 82551 | 90 | 12.110 | 6816.8 |
| 727 | 2025-06-18 21:36:50 | skeets | 2 | 82551 | 90 | 9.486 | 8702.4 |
| 726 | 2025-06-17 22:16:57 | skeets | 2 | 82551 | 90 | 12.343 | 6688.1 |
| 725 | 2025-06-17 04:08:27 | skeets | 2 | 82551 | 90 | 6.186 | 13344.8 |
| 724 | 2025-06-15 18:58:01 | skeets | 3 | 112716 | 943 | 6.923 | 16281.4 |
| 723 | 2025-06-13 05:25:35 | skeets | 1 | 48755 | 8 | 4.283 | 11383.4 |
| 722 | 2025-06-13 00:42:46 | skeets | 3 | 112716 | 943 | 5.733 | 19660.9 |
| 721 | 2025-06-12 02:53:26 | skeets | 3 | 112716 | 943 | 24.890 | 4528.6 |
| 720 | 2025-06-11 04:41:48 | skeets | 3 | 112716 | 943 | 34.460 | 3270.9 |
| 719 | 2025-06-10 22:04:47 | skeets | 2 | 82551 | 90 | 2.563 | 32208.7 |
| 718 | 2025-06-10 15:11:01 | skeets | 1 | 48755 | 8 | 6.190 | 7876.4 |
| 717 | 2025-06-10 01:31:01 | skeets | 1 | 48755 | 8 | 4.453 | 10948.8 |
| 716 | 2025-06-07 12:47:57 | skeets | 1 | 48755 | 8 | 4.513 | 10803.2 |
| 715 | 2025-06-03 15:57:34 | skeets | 3 | 112716 | 943 | 7.890 | 14285.9 |
| 714 | 2025-06-03 08:20:04 | skeets | 1 | 48755 | 8 | 2.843 | 17149.1 |
| 713 | 2025-06-02 13:55:40 | skeets | 1 | 48755 | 8 | 5.436 | 8968.9 |
| 712 | 2025-06-02 12:43:41 | skeets | 1 | 48755 | 8 | 2.016 | 24184.0 |
| 711 | 2025-05-31 06:06:34 | skeets | 1 | 48755 | 8 | 4.030 | 12098.0 |
| 710 | 2025-05-30 16:31:09 | skeets | 1 | 48755 | 8 | 0.920 | 52994.6 |
| 709 | 2025-05-28 23:26:42 | skeets | 1 | 48755 | 8 | 4.233 | 11517.8 |
| 708 | 2025-05-27 00:13:39 | skeets | 3 | 112716 | 943 | 28.796 | 3914.3 |
| 707 | 2025-05-24 04:06:47 | skeets | 1 | 48755 | 8 | 3.563 | 13683.7 |
| 706 | 2025-05-21 12:18:57 | skeets | 1 | 48755 | 8 | 1.843 | 26454.2 |
| 705 | 2025-05-19 04:20:09 | skeets | 3 | 112716 | 943 | 5.470 | 20606.2 |
| 704 | 2025-05-17 14:59:58 | skeets | 1 | 48755 | 8 | 6.296 | 7743.8 |
| 703 | 2025-05-15 23:06:44 | skeets | 2 | 82551 | 90 | 13.530 | 6101.3 |
| 702 | 2025-05-15 22:30:20 | skeets | 2 | 82551 | 90 | 6.046 | 13653.8 |
| 701 | 2025-05-15 05:46:52 | skeets | 3 | 112716 | 943 | 5.593 | 20153.0 |
| 700 | 2025-05-14 03:26:43 | skeets | 2 | 82551 | 90 | 13.906 | 5936.4 |
| 699 | 2025-05-13 21:36:47 | skeets | 2 | 82551 | 90 | 12.080 | 6833.7 |
| 698 | 2025-05-13 09:26:20 | skeets | 3 | 112716 | 943 | 5.173 | 21789.3 |
| 697 | 2025-05-13 07:54:49 | skeets | 3 | 112716 | 943 | 5.373 | 20978.2 |
| 696 | 2025-05-13 05:18:18 | skeets | 1 | 48755 | 8 | 1.766 | 27607.6 |
| 695 | 2025-05-13 00:46:11 | skeets | 3 | 112716 | 943 | 19.580 | 5756.7 |
| 694 | 2025-05-12 23:51:13 | skeets | 3 | 112716 | 943 | 15.373 | 7332.1 |
| 693 | 2025-05-12 02:48:44 | skeets | 3 | 112716 | 943 | 21.893 | 5148.5 |
| 692 | 2025-05-11 12:15:11 | skeets | 3 | 112716 | 943 | 20.870 | 5400.9 |
| 691 | 2025-05-11 00:31:31 | skeets | 1 | 48755 | 8 | 1.750 | 27860.0 |
| 690 | 2025-05-10 01:51:25 | skeets | 1 | 48755 | 8 | 1.800 | 27086.1 |
| 689 | 2025-05-08 08:48:41 | skeets | 1 | 48755 | 8 | 5.313 | 9176.5 |
| 688 | 2025-05-04 22:47:39 | skeets | 1 | 48755 | 8 | 0.796 | 61250.0 |
| 687 | 2025-05-02 13:22:18 | skeets | 1 | 48755 | 8 | 1.780 | 27390.4 |