History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "bields"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 706 | 2025-10-30 20:04:13 | bields | 2 | 82551 | 51 | 5.283 | 15625.8 | 
		| 705 | 2025-10-30 17:18:59 | bields | 3 | 112716 | 719 | 4.783 | 23566.0 | 
		| 704 | 2025-10-30 15:36:18 | bields | 3 | 112716 | 719 | 14.940 | 7544.6 | 
		| 703 | 2025-10-29 17:22:26 | bields | 2 | 82551 | 51 | 2.486 | 33206.4 | 
		| 702 | 2025-10-29 05:49:36 | bields | 3 | 112716 | 719 | 4.906 | 22975.1 | 
		| 701 | 2025-10-26 23:04:17 | bields | 3 | 112716 | 719 | 5.173 | 21789.3 | 
		| 700 | 2025-10-26 04:37:56 | bields | 1 | 48755 | 5 | 0.796 | 61250.0 | 
		| 699 | 2025-10-25 21:39:48 | bields | 1 | 48755 | 5 | 0.876 | 55656.4 | 
		| 698 | 2025-10-18 01:55:03 | bields | 1 | 48755 | 5 | 0.923 | 52822.3 | 
		| 697 | 2025-09-30 20:22:31 | bields | 1 | 48755 | 5 | 0.906 | 53813.5 | 
		| 696 | 2025-09-29 19:16:13 | bields | 1 | 48755 | 5 | 0.843 | 57835.1 | 
		| 695 | 2025-09-29 09:36:57 | bields | 1 | 48755 | 5 | 1.783 | 27344.4 | 
		| 694 | 2025-09-28 07:19:05 | bields | 1 | 48755 | 5 | 0.766 | 63648.8 | 
		| 693 | 2025-09-27 05:42:09 | bields | 1 | 48755 | 5 | 0.750 | 65006.7 | 
		| 692 | 2025-09-20 22:53:15 | bields | 1 | 48755 | 5 | 0.876 | 55656.4 | 
		| 691 | 2025-09-19 15:06:58 | bields | 1 | 48755 | 5 | 0.750 | 65006.7 | 
		| 690 | 2025-09-19 03:13:34 | bields | 1 | 48755 | 5 | 0.843 | 57835.1 | 
		| 689 | 2025-09-19 02:52:48 | bields | 1 | 48755 | 5 | 0.890 | 54780.9 | 
		| 688 | 2025-09-17 01:49:44 | bields | 1 | 48755 | 5 | 0.906 | 53813.5 | 
		| 687 | 2025-09-09 17:34:33 | bields | 1 | 48755 | 5 | 0.830 | 58741.0 | 
		| 686 | 2025-09-05 17:49:05 | bields | 2 | 82551 | 51 | 2.186 | 37763.5 | 
		| 685 | 2025-09-03 12:33:37 | bields | 1 | 48755 | 5 | 0.766 | 63648.8 | 
		| 684 | 2025-08-28 15:16:52 | bields | 1 | 48755 | 5 | 0.936 | 52088.7 | 
		| 683 | 2025-08-25 09:48:46 | bields | 1 | 48755 | 5 | 3.000 | 16251.7 | 
		| 682 | 2025-08-19 06:57:06 | bields | 1 | 48755 | 5 | 2.453 | 19875.7 | 
		| 681 | 2025-08-18 23:41:17 | bields | 1 | 48755 | 5 | 2.376 | 20519.8 | 
		| 680 | 2025-08-16 17:05:27 | bields | 2 | 82551 | 51 | 2.690 | 30688.1 | 
		| 679 | 2025-08-02 21:49:51 | bields | 1 | 48755 | 5 | 4.486 | 10868.3 | 
		| 678 | 2025-08-02 21:49:48 | bields | 1 | 48755 | 5 | 4.140 | 11776.6 | 
		| 677 | 2025-08-02 11:35:22 | bields | 3 | 112716 | 719 | 14.313 | 7875.1 | 
		| 676 | 2025-08-01 08:01:10 | bields | 1 | 48755 | 5 | 1.936 | 25183.4 | 
		| 675 | 2025-08-01 03:42:15 | bields | 1 | 48755 | 5 | 2.846 | 17131.1 | 
		| 674 | 2025-07-31 18:52:39 | bields | 2 | 82551 | 51 | 7.390 | 11170.6 | 
		| 673 | 2025-07-31 18:45:12 | bields | 3 | 112716 | 719 | 14.626 | 7706.5 | 
		| 672 | 2025-07-31 17:38:30 | bields | 3 | 112716 | 719 | 20.920 | 5388.0 | 
		| 671 | 2025-07-29 15:37:49 | bields | 3 | 112716 | 719 | 21.330 | 5284.4 | 
		| 670 | 2025-07-29 13:01:01 | bields | 2 | 82551 | 51 | 7.940 | 10396.9 | 
		| 669 | 2025-07-29 10:36:15 | bields | 3 | 112716 | 719 | 27.676 | 4072.7 | 
		| 668 | 2025-07-29 04:00:35 | bields | 3 | 112716 | 719 | 14.156 | 7962.4 | 
		| 667 | 2025-07-26 02:36:29 | bields | 1 | 48755 | 5 | 2.063 | 23633.1 | 
		| 666 | 2025-07-24 10:29:45 | bields | 1 | 48755 | 5 | 3.873 | 12588.4 | 
		| 665 | 2025-07-24 01:30:08 | bields | 3 | 112716 | 719 | 25.533 | 4414.5 | 
		| 664 | 2025-07-22 21:48:18 | bields | 1 | 48755 | 5 | 2.420 | 20146.7 | 
		| 663 | 2025-07-15 13:55:05 | bields | 1 | 48755 | 5 | 2.800 | 17412.5 | 
		| 662 | 2025-07-15 09:33:59 | bields | 2 | 82551 | 51 | 12.266 | 6730.1 | 
		| 661 | 2025-07-15 06:13:46 | bields | 3 | 112716 | 719 | 19.826 | 5685.3 | 
		| 660 | 2025-07-13 01:26:02 | bields | 3 | 112716 | 719 | 7.470 | 15089.2 | 
		| 659 | 2025-07-09 07:09:31 | bields | 1 | 48755 | 5 | 5.080 | 9597.4 | 
		| 658 | 2025-07-07 18:34:59 | bields | 1 | 48755 | 5 | 1.140 | 42767.5 | 
		| 657 | 2025-06-25 11:55:08 | bields | 1 | 48755 | 5 | 0.766 | 63648.8 | 
		| 656 | 2025-06-22 17:34:17 | bields | 2 | 82551 | 51 | 12.970 | 6364.8 | 
		| 655 | 2025-06-21 09:55:39 | bields | 1 | 48755 | 5 | 2.000 | 24377.5 | 
		| 654 | 2025-06-18 00:12:25 | bields | 1 | 48755 | 5 | 4.203 | 11600.0 | 
		| 653 | 2025-06-16 23:29:09 | bields | 2 | 82551 | 51 | 13.063 | 6319.5 | 
		| 652 | 2025-06-16 17:13:45 | bields | 3 | 112716 | 719 | 30.503 | 3695.2 | 
		| 651 | 2025-06-16 15:52:43 | bields | 2 | 82551 | 51 | 14.250 | 5793.1 | 
		| 650 | 2025-06-16 14:53:01 | bields | 3 | 112716 | 719 | 25.956 | 4342.6 | 
		| 649 | 2025-06-15 18:53:31 | bields | 3 | 112716 | 719 | 17.813 | 6327.7 | 
		| 648 | 2025-06-15 13:15:07 | bields | 3 | 112716 | 719 | 7.360 | 15314.7 | 
		| 647 | 2025-06-15 10:58:58 | bields | 3 | 112716 | 719 | 29.453 | 3827.0 | 
		| 646 | 2025-06-14 20:57:36 | bields | 3 | 112716 | 719 | 28.000 | 4025.6 | 
		| 645 | 2025-06-14 15:21:07 | bields | 1 | 48755 | 5 | 4.186 | 11647.2 | 
		| 644 | 2025-06-13 16:32:47 | bields | 3 | 112716 | 719 | 6.003 | 18776.6 | 
		| 643 | 2025-06-13 15:14:50 | bields | 1 | 48755 | 5 | 0.860 | 56691.9 | 
		| 642 | 2025-06-08 07:25:22 | bields | 1 | 48755 | 5 | 4.233 | 11517.8 | 
		| 641 | 2025-06-05 11:09:59 | bields | 1 | 48755 | 5 | 1.640 | 29728.7 | 
		| 640 | 2025-06-01 22:10:19 | bields | 3 | 112716 | 719 | 28.220 | 3994.2 | 
		| 639 | 2025-05-31 09:55:00 | bields | 1 | 48755 | 5 | 3.313 | 14716.3 | 
		| 638 | 2025-05-30 21:48:07 | bields | 1 | 48755 | 5 | 3.936 | 12386.9 | 
		| 637 | 2025-05-20 10:26:25 | bields | 1 | 48755 | 5 | 3.173 | 15365.6 | 
		| 636 | 2025-05-19 07:51:53 | bields | 1 | 48755 | 5 | 0.843 | 57835.1 | 
		| 635 | 2025-05-18 00:16:57 | bields | 1 | 48755 | 5 | 5.330 | 9147.3 | 
		| 634 | 2025-05-16 16:44:29 | bields | 3 | 112716 | 719 | 24.546 | 4592.0 | 
		| 633 | 2025-05-16 15:23:22 | bields | 3 | 112716 | 719 | 23.626 | 4770.8 | 
		| 632 | 2025-05-14 23:16:09 | bields | 1 | 48755 | 5 | 0.750 | 65006.7 | 
		| 631 | 2025-05-14 20:27:02 | bields | 3 | 112716 | 719 | 7.203 | 15648.5 | 
		| 630 | 2025-05-14 20:16:42 | bields | 2 | 82551 | 51 | 6.486 | 12727.6 | 
		| 629 | 2025-05-14 13:47:51 | bields | 3 | 112716 | 719 | 24.576 | 4586.4 | 
		| 628 | 2025-05-13 19:07:56 | bields | 3 | 112716 | 719 | 6.266 | 17988.5 | 
		| 627 | 2025-05-12 10:04:24 | bields | 3 | 112716 | 719 | 30.580 | 3685.9 | 
		| 626 | 2025-05-08 07:09:30 | bields | 1 | 48755 | 5 | 1.936 | 25183.4 | 
		| 625 | 2025-04-29 22:10:13 | bields | 1 | 48755 | 5 | 5.080 | 9597.4 | 
		| 624 | 2025-04-23 02:12:23 | bields | 1 | 48755 | 5 | 4.110 | 11862.5 | 
		| 623 | 2025-04-20 09:16:29 | bields | 1 | 48755 | 5 | 1.296 | 37619.6 | 
		| 622 | 2025-04-20 05:49:49 | bields | 3 | 112716 | 719 | 34.503 | 3266.8 | 
		| 621 | 2025-04-19 19:58:10 | bields | 3 | 112716 | 719 | 23.630 | 4770.0 | 
		| 620 | 2025-04-18 18:39:30 | bields | 3 | 112716 | 719 | 25.766 | 4374.6 | 
		| 619 | 2025-04-16 16:08:24 | bields | 3 | 112716 | 719 | 14.373 | 7842.2 | 
		| 618 | 2025-04-16 14:52:45 | bields | 2 | 82551 | 51 | 15.796 | 5226.1 | 
		| 617 | 2025-04-16 04:45:00 | bields | 3 | 112716 | 719 | 35.136 | 3208.0 | 
		| 616 | 2025-04-16 02:26:34 | bields | 2 | 82551 | 51 | 13.970 | 5909.2 | 
		| 615 | 2025-04-16 00:44:52 | bields | 2 | 82551 | 51 | 8.813 | 9367.0 | 
		| 614 | 2025-04-15 22:20:15 | bields | 1 | 48755 | 5 | 2.766 | 17626.5 | 
		| 613 | 2025-04-14 16:23:28 | bields | 3 | 112716 | 719 | 17.123 | 6582.7 | 
		| 612 | 2025-04-14 10:59:38 | bields | 2 | 82551 | 51 | 6.140 | 13444.8 | 
		| 611 | 2025-04-13 20:20:14 | bields | 3 | 112716 | 719 | 33.703 | 3344.4 | 
		| 610 | 2025-04-12 23:55:48 | bields | 2 | 82551 | 51 | 5.563 | 14839.3 | 
		| 609 | 2025-04-11 15:00:52 | bields | 1 | 48755 | 5 | 7.440 | 6553.1 | 
		| 608 | 2025-04-10 18:39:37 | bields | 3 | 112716 | 719 | 6.030 | 18692.5 | 
		| 607 | 2025-04-08 21:16:03 | bields | 3 | 112716 | 719 | 29.456 | 3826.6 |