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 |
| 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 |
| 646 | 2025-06-23 03:42:54 | model | 1 | 28756 | 10 | 2.250 | 12780.4 |
| 645 | 2025-06-23 00:34:04 | model | 1 | 28756 | 10 | 0.466 | 61708.2 |
| 644 | 2025-06-18 16:37:10 | model | 1 | 28756 | 10 | 2.610 | 11017.6 |
| 643 | 2025-06-16 07:53:47 | model | 1 | 28756 | 10 | 3.296 | 8724.5 |
| 642 | 2025-06-16 05:08:08 | model | 1 | 28756 | 10 | 1.373 | 20943.9 |
| 641 | 2025-06-11 06:12:17 | model | 1 | 28756 | 10 | 1.360 | 21144.1 |
| 640 | 2025-06-10 10:13:59 | model | 1 | 28756 | 10 | 1.486 | 19351.3 |
| 639 | 2025-06-04 17:08:06 | model | 1 | 28756 | 10 | 3.840 | 7488.5 |
| 638 | 2025-06-02 07:49:25 | model | 1 | 28756 | 10 | 5.046 | 5698.8 |
| 637 | 2025-06-01 18:58:38 | model | 1 | 28756 | 10 | 0.450 | 63902.2 |
| 636 | 2025-05-31 14:55:49 | model | 1 | 28756 | 10 | 1.626 | 17685.1 |
| 635 | 2025-05-27 14:51:52 | model | 1 | 28756 | 10 | 2.563 | 11219.7 |
| 634 | 2025-05-26 11:32:35 | model | 2 | 53800 | 117 | 7.360 | 7309.8 |
| 633 | 2025-05-25 04:12:06 | model | 1 | 28756 | 10 | 2.153 | 13356.2 |
| 632 | 2025-05-20 19:06:37 | model | 2 | 53800 | 117 | 5.830 | 9228.1 |
| 631 | 2025-05-20 17:48:38 | model | 2 | 53800 | 117 | 8.076 | 6661.7 |
| 630 | 2025-05-20 12:38:26 | model | 2 | 53800 | 117 | 5.893 | 9129.5 |
| 629 | 2025-05-19 15:50:33 | model | 1 | 28756 | 10 | 2.280 | 12612.3 |
| 628 | 2025-05-18 19:03:00 | model | 2 | 53800 | 117 | 2.263 | 23773.8 |
| 627 | 2025-05-15 09:44:01 | model | 1 | 28756 | 10 | 2.910 | 9881.8 |
| 626 | 2025-05-10 15:03:50 | model | 1 | 28756 | 10 | 2.283 | 12595.7 |
| 625 | 2025-05-10 02:43:39 | model | 2 | 53800 | 117 | 7.003 | 7682.4 |
| 624 | 2025-05-09 01:38:25 | model | 1 | 28756 | 10 | 0.500 | 57512.0 |
| 623 | 2025-05-03 06:29:02 | model | 1 | 28756 | 10 | 1.156 | 24875.4 |
| 622 | 2025-04-30 15:23:06 | model | 1 | 28756 | 10 | 1.406 | 20452.3 |
| 621 | 2025-04-29 11:17:33 | model | 1 | 28756 | 10 | 0.546 | 52666.7 |
| 620 | 2025-04-19 14:51:53 | model | 1 | 28756 | 10 | 0.450 | 63902.2 |
| 619 | 2025-04-16 05:04:18 | model | 1 | 28756 | 10 | 2.626 | 10950.5 |
| 618 | 2025-04-14 20:12:13 | model | 1 | 28756 | 10 | 0.436 | 65954.1 |
| 617 | 2025-04-13 11:16:00 | model | 2 | 53800 | 117 | 2.063 | 26078.5 |
| 616 | 2025-04-09 11:42:20 | model | 1 | 28756 | 10 | 2.656 | 10826.8 |
| 615 | 2025-04-03 00:19:26 | model | 2 | 53800 | 117 | 7.766 | 6927.6 |
| 614 | 2025-04-02 06:10:03 | model | 2 | 53800 | 117 | 11.503 | 4677.0 |
| 613 | 2025-03-31 13:34:03 | model | 2 | 53800 | 117 | 3.893 | 13819.7 |
| 612 | 2025-03-31 09:31:12 | model | 1 | 28756 | 10 | 1.360 | 21144.1 |
| 611 | 2025-03-31 05:17:57 | model | 1 | 28756 | 10 | 1.656 | 17364.7 |
| 610 | 2025-03-29 17:06:33 | model | 1 | 28756 | 10 | 2.296 | 12524.4 |
| 609 | 2025-03-29 13:49:06 | model | 1 | 28756 | 10 | 1.280 | 22465.6 |
| 608 | 2025-03-19 17:27:37 | model | 1 | 28756 | 10 | 1.153 | 24940.2 |
| 607 | 2025-03-15 16:52:40 | model | 1 | 28756 | 10 | 1.266 | 22714.1 |
| 606 | 2025-03-15 08:44:29 | model | 1 | 28756 | 10 | 2.076 | 13851.6 |
| 605 | 2025-03-14 23:48:41 | model | 1 | 28756 | 10 | 1.623 | 17717.8 |
| 604 | 2025-03-12 04:31:42 | model | 1 | 28756 | 10 | 0.970 | 29645.4 |
| 603 | 2025-03-11 05:37:07 | model | 2 | 53800 | 117 | 8.343 | 6448.5 |
| 602 | 2025-03-09 06:31:35 | model | 1 | 28756 | 10 | 1.156 | 24875.4 |
| 601 | 2025-02-27 22:13:50 | model | 2 | 53800 | 117 | 11.626 | 4627.6 |