History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"model"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 746 | 2026-04-16 00:57:52 | model | 1 | 28756 | 10 | 1.203 | 23903.6 |
| 745 | 2026-04-12 12:33:10 | model | 1 | 28756 | 10 | 0.513 | 56054.6 |
| 744 | 2026-04-09 15:04:57 | model | 1 | 28756 | 10 | 0.530 | 54256.6 |
| 743 | 2026-04-06 20:15:17 | model | 1 | 28756 | 10 | 1.250 | 23004.8 |
| 742 | 2026-04-02 06:38:01 | model | 2 | 53800 | 117 | 8.750 | 6148.6 |
| 741 | 2026-03-31 19:06:43 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 740 | 2026-03-31 02:21:01 | model | 2 | 53800 | 117 | 15.936 | 3376.0 |
| 739 | 2026-03-29 14:02:43 | model | 1 | 28756 | 10 | 0.546 | 52666.7 |
| 738 | 2026-03-28 12:56:39 | model | 2 | 53800 | 117 | 4.266 | 12611.3 |
| 737 | 2026-03-19 14:10:42 | model | 1 | 28756 | 10 | 3.610 | 7965.7 |
| 736 | 2026-03-18 04:58:37 | model | 1 | 28756 | 10 | 1.826 | 15748.1 |
| 735 | 2026-03-16 18:39:08 | model | 1 | 28756 | 10 | 1.360 | 21144.1 |
| 734 | 2026-03-16 03:47:42 | model | 1 | 28756 | 10 | 0.563 | 51076.4 |
| 733 | 2026-03-10 19:33:20 | model | 2 | 53800 | 117 | 1.546 | 34799.5 |
| 732 | 2026-03-09 02:21:08 | model | 1 | 28756 | 10 | 0.513 | 56054.6 |
| 731 | 2026-03-09 02:14:22 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 730 | 2026-03-07 14:33:14 | model | 1 | 28756 | 10 | 1.080 | 26625.9 |
| 729 | 2026-03-05 03:58:50 | model | 1 | 28756 | 10 | 1.076 | 26724.9 |
| 728 | 2026-02-22 00:52:16 | model | 1 | 28756 | 10 | 0.533 | 53951.2 |
| 727 | 2026-02-12 21:33:08 | model | 1 | 28756 | 10 | 1.046 | 27491.4 |
| 726 | 2026-01-29 13:19:07 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 725 | 2026-01-29 11:44:37 | model | 1 | 28756 | 10 | 0.533 | 53951.2 |
| 724 | 2026-01-29 11:26:07 | model | 1 | 28756 | 10 | 0.513 | 56054.6 |
| 723 | 2026-01-22 10:17:33 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 722 | 2026-01-21 22:34:33 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 721 | 2026-01-08 03:14:00 | model | 1 | 28756 | 10 | 1.420 | 20250.7 |
| 720 | 2026-01-01 21:05:04 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 719 | 2025-12-26 04:26:21 | model | 1 | 28756 | 10 | 2.280 | 12612.3 |
| 718 | 2025-12-24 13:36:48 | model | 1 | 28756 | 10 | 1.046 | 27491.4 |
| 717 | 2025-12-19 16:32:07 | model | 1 | 28756 | 10 | 0.983 | 29253.3 |
| 716 | 2025-12-17 01:13:17 | model | 1 | 28756 | 10 | 0.530 | 54256.6 |
| 715 | 2025-12-17 00:57:19 | model | 1 | 28756 | 10 | 1.143 | 25158.4 |
| 714 | 2025-12-15 01:45:20 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 713 | 2025-12-02 01:07:39 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 712 | 2025-11-27 14:43:24 | model | 1 | 28756 | 10 | 1.030 | 27918.4 |
| 711 | 2025-11-26 03:41:36 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 710 | 2025-11-22 23:55:26 | model | 2 | 53800 | 117 | 1.406 | 38264.6 |
| 709 | 2025-11-20 20:32:33 | model | 1 | 28756 | 10 | 0.593 | 48492.4 |
| 708 | 2025-11-20 04:10:10 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 707 | 2025-11-17 14:21:20 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 706 | 2025-11-15 06:54:40 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 705 | 2025-11-13 09:55:23 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 704 | 2025-11-13 07:01:49 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 703 | 2025-11-12 08:52:02 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 702 | 2025-11-11 21:08:01 | model | 1 | 28756 | 10 | 0.466 | 61708.2 |
| 701 | 2025-11-10 15:09:38 | model | 1 | 28756 | 10 | 0.970 | 29645.4 |
| 700 | 2025-10-31 17:17:36 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 699 | 2025-10-31 05:16:55 | model | 1 | 28756 | 10 | 0.530 | 54256.6 |
| 698 | 2025-10-29 06:40:11 | model | 1 | 28756 | 10 | 0.513 | 56054.6 |
| 697 | 2025-10-29 06:33:51 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 696 | 2025-10-26 15:56:50 | model | 1 | 28756 | 10 | 0.513 | 56054.6 |
| 695 | 2025-10-25 04:39:16 | model | 1 | 28756 | 10 | 0.830 | 34645.8 |
| 694 | 2025-10-20 12:30:45 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 693 | 2025-10-17 15:27:35 | model | 1 | 28756 | 10 | 0.546 | 52666.7 |
| 692 | 2025-10-15 22:15:23 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 691 | 2025-10-12 15:23:30 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 690 | 2025-10-12 10:42:31 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 689 | 2025-10-11 09:56:07 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 688 | 2025-10-10 22:00:19 | model | 1 | 28756 | 10 | 0.453 | 63479.0 |
| 687 | 2025-10-10 12:04:57 | model | 1 | 28756 | 10 | 0.546 | 52666.7 |
| 686 | 2025-10-10 07:55:07 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 685 | 2025-09-25 15:47:04 | model | 1 | 28756 | 10 | 0.530 | 54256.6 |
| 684 | 2025-09-25 15:43:00 | model | 1 | 28756 | 10 | 0.546 | 52666.7 |
| 683 | 2025-09-22 20:28:41 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 682 | 2025-09-20 04:46:11 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 681 | 2025-09-11 22:56:56 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 680 | 2025-09-10 17:47:31 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 679 | 2025-09-10 04:56:38 | model | 1 | 28756 | 10 | 0.736 | 39070.7 |
| 678 | 2025-09-10 01:31:03 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 677 | 2025-09-10 01:30:47 | model | 1 | 28756 | 10 | 0.516 | 55728.7 |
| 676 | 2025-09-09 21:05:54 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 675 | 2025-09-09 16:12:13 | model | 1 | 28756 | 10 | 0.486 | 59168.7 |
| 674 | 2025-09-09 15:18:46 | model | 1 | 28756 | 10 | 0.533 | 53951.2 |
| 673 | 2025-09-09 10:42:04 | model | 1 | 28756 | 10 | 1.013 | 28387.0 |
| 672 | 2025-09-09 04:37:49 | model | 1 | 28756 | 10 | 0.983 | 29253.3 |
| 671 | 2025-09-06 19:28:26 | model | 1 | 28756 | 10 | 0.640 | 44931.3 |
| 670 | 2025-09-01 18:12:04 | model | 1 | 28756 | 10 | 0.546 | 52666.7 |
| 669 | 2025-08-31 12:05:27 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 668 | 2025-08-19 05:05:39 | model | 1 | 28756 | 10 | 1.346 | 21364.0 |
| 667 | 2025-08-09 18:40:07 | model | 1 | 28756 | 10 | 1.796 | 16011.1 |
| 666 | 2025-08-05 06:48:57 | model | 2 | 53800 | 117 | 3.546 | 15172.0 |
| 665 | 2025-08-04 12:46:09 | model | 1 | 28756 | 10 | 0.920 | 31256.5 |
| 664 | 2025-08-04 08:04:20 | model | 1 | 28756 | 10 | 3.593 | 8003.3 |
| 663 | 2025-08-03 09:00:27 | model | 2 | 53800 | 117 | 9.806 | 5486.4 |
| 662 | 2025-08-02 11:01:41 | model | 1 | 28756 | 10 | 1.890 | 15214.8 |
| 661 | 2025-07-31 17:36:42 | model | 1 | 28756 | 10 | 2.343 | 12273.2 |
| 660 | 2025-07-31 05:31:39 | model | 2 | 53800 | 117 | 5.970 | 9011.7 |
| 659 | 2025-07-30 12:09:01 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 658 | 2025-07-29 14:39:54 | model | 2 | 53800 | 117 | 3.610 | 14903.0 |
| 657 | 2025-07-28 12:58:26 | model | 2 | 53800 | 117 | 6.080 | 8848.7 |
| 656 | 2025-07-26 11:34:28 | model | 1 | 28756 | 10 | 0.530 | 54256.6 |
| 655 | 2025-07-24 22:41:19 | model | 1 | 28756 | 10 | 0.953 | 30174.2 |
| 654 | 2025-07-16 05:33:26 | model | 1 | 28756 | 10 | 2.356 | 12205.4 |
| 653 | 2025-07-10 16:13:05 | model | 1 | 28756 | 10 | 1.406 | 20452.3 |
| 652 | 2025-07-10 05:57:24 | model | 1 | 28756 | 10 | 2.703 | 10638.5 |
| 651 | 2025-07-09 09:54:27 | model | 1 | 28756 | 10 | 0.483 | 59536.2 |
| 650 | 2025-07-02 11:57:13 | model | 1 | 28756 | 10 | 2.080 | 13825.0 |
| 649 | 2025-07-02 08:33:43 | model | 1 | 28756 | 10 | 3.280 | 8767.1 |
| 648 | 2025-07-01 00:59:30 | model | 1 | 28756 | 10 | 0.533 | 53951.2 |
| 647 | 2025-06-30 16:15:09 | model | 1 | 28756 | 10 | 1.173 | 24514.9 |