History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "pipy"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 725 | 2025-10-29 18:26:28 | pipy | 1 | 13983 | 8 | 0.563 | 24836.6 | 
		| 724 | 2025-10-26 19:27:06 | pipy | 1 | 13983 | 8 | 0.220 | 63559.1 | 
		| 723 | 2025-10-25 23:47:45 | pipy | 1 | 13983 | 8 | 0.283 | 49409.9 | 
		| 722 | 2025-10-17 19:35:01 | pipy | 1 | 13983 | 8 | 0.250 | 55932.0 | 
		| 721 | 2025-10-16 14:54:28 | pipy | 1 | 13983 | 8 | 0.233 | 60012.9 | 
		| 720 | 2025-10-09 03:40:02 | pipy | 2 | 29872 | 185 | 0.843 | 35435.3 | 
		| 719 | 2025-10-06 14:28:01 | pipy | 1 | 13983 | 8 | 0.266 | 52567.7 | 
		| 718 | 2025-10-04 07:10:30 | pipy | 2 | 29872 | 185 | 0.826 | 36164.6 | 
		| 717 | 2025-10-01 15:25:54 | pipy | 1 | 13983 | 8 | 0.233 | 60012.9 | 
		| 716 | 2025-09-25 15:44:36 | pipy | 1 | 13983 | 8 | 0.220 | 63559.1 | 
		| 715 | 2025-09-20 10:02:13 | pipy | 2 | 29872 | 185 | 1.000 | 29872.0 | 
		| 714 | 2025-09-19 19:48:22 | pipy | 1 | 13983 | 8 | 0.233 | 60012.9 | 
		| 713 | 2025-09-16 22:25:05 | pipy | 1 | 13983 | 8 | 0.233 | 60012.9 | 
		| 712 | 2025-09-08 02:28:40 | pipy | 2 | 29872 | 185 | 0.860 | 34734.9 | 
		| 711 | 2025-09-01 05:47:41 | pipy | 1 | 13983 | 8 | 0.266 | 52567.7 | 
		| 710 | 2025-08-31 21:49:12 | pipy | 1 | 13983 | 8 | 0.233 | 60012.9 | 
		| 709 | 2025-08-30 03:46:18 | pipy | 1 | 13983 | 8 | 0.283 | 49409.9 | 
		| 708 | 2025-08-25 03:22:02 | pipy | 1 | 13983 | 8 | 1.140 | 12265.8 | 
		| 707 | 2025-08-11 13:32:58 | pipy | 1 | 13983 | 8 | 0.953 | 14672.6 | 
		| 706 | 2025-08-09 09:30:51 | pipy | 1 | 13983 | 8 | 0.313 | 44674.1 | 
		| 705 | 2025-08-04 01:49:23 | pipy | 1 | 13983 | 8 | 0.530 | 26383.0 | 
		| 704 | 2025-08-01 17:57:47 | pipy | 2 | 29872 | 185 | 2.000 | 14936.0 | 
		| 703 | 2025-07-31 11:26:53 | pipy | 1 | 13983 | 8 | 0.250 | 55932.0 | 
		| 702 | 2025-07-31 03:11:55 | pipy | 1 | 13983 | 8 | 0.250 | 55932.0 | 
		| 701 | 2025-07-29 04:19:53 | pipy | 1 | 13983 | 8 | 0.703 | 19890.5 | 
		| 700 | 2025-07-28 18:45:44 | pipy | 2 | 29872 | 185 | 1.796 | 16632.5 | 
		| 699 | 2025-07-27 17:12:56 | pipy | 1 | 13983 | 8 | 1.283 | 10898.7 | 
		| 698 | 2025-07-27 04:58:41 | pipy | 1 | 13983 | 8 | 0.546 | 25609.9 | 
		| 697 | 2025-07-26 21:00:16 | pipy | 1 | 13983 | 8 | 0.626 | 22337.1 | 
		| 696 | 2025-07-26 21:00:15 | pipy | 1 | 13983 | 8 | 0.686 | 20383.4 | 
		| 695 | 2025-07-25 03:35:52 | pipy | 1 | 13983 | 8 | 1.420 | 9847.2 | 
		| 694 | 2025-07-18 20:49:18 | pipy | 1 | 13983 | 8 | 0.890 | 15711.2 | 
		| 693 | 2025-07-18 18:14:23 | pipy | 2 | 29872 | 185 | 4.220 | 7078.7 | 
		| 692 | 2025-07-18 07:48:44 | pipy | 1 | 13983 | 8 | 1.280 | 10924.2 | 
		| 691 | 2025-07-15 21:15:26 | pipy | 1 | 13983 | 8 | 0.250 | 55932.0 | 
		| 690 | 2025-07-13 16:32:40 | pipy | 1 | 13983 | 8 | 0.266 | 52567.7 | 
		| 689 | 2025-07-08 08:46:03 | pipy | 1 | 13983 | 8 | 1.936 | 7222.6 | 
		| 688 | 2025-07-07 01:26:26 | pipy | 2 | 29872 | 185 | 2.063 | 14479.9 | 
		| 687 | 2025-07-03 01:51:28 | pipy | 1 | 13983 | 8 | 1.483 | 9428.9 | 
		| 686 | 2025-07-02 10:01:09 | pipy | 2 | 29872 | 185 | 2.280 | 13101.8 | 
		| 685 | 2025-07-01 03:32:48 | pipy | 1 | 13983 | 8 | 0.250 | 55932.0 | 
		| 684 | 2025-06-30 18:09:23 | pipy | 2 | 29872 | 185 | 4.343 | 6878.2 | 
		| 683 | 2025-06-28 19:38:53 | pipy | 2 | 29872 | 185 | 0.766 | 38997.4 | 
		| 682 | 2025-06-24 12:04:44 | pipy | 1 | 13983 | 8 | 0.593 | 23580.1 | 
		| 681 | 2025-06-23 08:35:27 | pipy | 1 | 13983 | 8 | 0.280 | 49939.3 | 
		| 680 | 2025-06-22 08:57:05 | pipy | 1 | 13983 | 8 | 0.280 | 49939.3 | 
		| 679 | 2025-06-18 03:39:54 | pipy | 2 | 29872 | 185 | 5.660 | 5277.7 | 
		| 678 | 2025-06-18 03:22:36 | pipy | 1 | 13983 | 8 | 0.953 | 14672.6 | 
		| 677 | 2025-06-16 21:29:29 | pipy | 2 | 29872 | 185 | 4.126 | 7239.9 | 
		| 676 | 2025-06-16 20:41:06 | pipy | 1 | 13983 | 8 | 1.610 | 8685.1 | 
		| 675 | 2025-06-15 15:56:27 | pipy | 1 | 13983 | 8 | 0.250 | 55932.0 | 
		| 674 | 2025-06-11 05:05:50 | pipy | 2 | 29872 | 185 | 2.190 | 13640.2 | 
		| 673 | 2025-05-31 03:49:34 | pipy | 1 | 13983 | 8 | 1.050 | 13317.1 | 
		| 672 | 2025-05-29 13:55:43 | pipy | 1 | 13983 | 8 | 0.596 | 23461.4 | 
		| 671 | 2025-05-29 11:20:53 | pipy | 1 | 13983 | 8 | 1.013 | 13803.6 | 
		| 670 | 2025-05-28 21:50:11 | pipy | 1 | 13983 | 8 | 1.266 | 11045.0 | 
		| 669 | 2025-05-17 03:32:09 | pipy | 1 | 13983 | 8 | 0.423 | 33056.7 | 
		| 668 | 2025-05-16 04:26:16 | pipy | 2 | 29872 | 185 | 4.670 | 6396.6 | 
		| 667 | 2025-05-16 03:20:04 | pipy | 1 | 13983 | 8 | 1.453 | 9623.5 | 
		| 666 | 2025-05-15 16:33:55 | pipy | 1 | 13983 | 8 | 0.250 | 55932.0 | 
		| 665 | 2025-05-14 18:51:31 | pipy | 2 | 29872 | 185 | 0.893 | 33451.3 | 
		| 664 | 2025-05-14 15:43:16 | pipy | 1 | 13983 | 8 | 1.830 | 7641.0 | 
		| 663 | 2025-05-14 07:21:55 | pipy | 1 | 13983 | 8 | 0.750 | 18644.0 | 
		| 662 | 2025-05-12 20:21:29 | pipy | 1 | 13983 | 8 | 0.250 | 55932.0 | 
		| 661 | 2025-05-12 08:51:27 | pipy | 1 | 13983 | 8 | 0.970 | 14415.5 | 
		| 660 | 2025-05-09 20:03:15 | pipy | 1 | 13983 | 8 | 0.486 | 28771.6 | 
		| 659 | 2025-05-09 08:35:04 | pipy | 1 | 13983 | 8 | 0.436 | 32071.1 | 
		| 658 | 2025-05-08 07:48:35 | pipy | 1 | 13983 | 8 | 0.733 | 19076.4 | 
		| 657 | 2025-05-04 19:07:22 | pipy | 1 | 13983 | 8 | 0.266 | 52567.7 | 
		| 656 | 2025-05-02 19:29:29 | pipy | 1 | 13983 | 8 | 0.266 | 52567.7 | 
		| 655 | 2025-05-02 01:51:11 | pipy | 1 | 13983 | 8 | 1.153 | 12127.5 | 
		| 654 | 2025-05-01 00:45:30 | pipy | 2 | 29872 | 185 | 4.516 | 6614.7 | 
		| 653 | 2025-04-30 15:30:55 | pipy | 2 | 29872 | 185 | 5.903 | 5060.5 | 
		| 652 | 2025-04-30 03:37:06 | pipy | 1 | 13983 | 8 | 1.393 | 10038.0 | 
		| 651 | 2025-04-28 20:38:27 | pipy | 2 | 29872 | 185 | 0.856 | 34897.2 | 
		| 650 | 2025-04-28 11:27:37 | pipy | 1 | 13983 | 8 | 0.640 | 21848.4 | 
		| 649 | 2025-04-22 01:31:21 | pipy | 1 | 13983 | 8 | 0.263 | 53167.3 | 
		| 648 | 2025-04-16 03:18:30 | pipy | 1 | 13983 | 8 | 2.140 | 6534.1 | 
		| 647 | 2025-04-06 07:41:13 | pipy | 1 | 13983 | 8 | 0.686 | 20383.4 | 
		| 646 | 2025-04-02 06:46:51 | pipy | 2 | 29872 | 185 | 4.420 | 6758.4 | 
		| 645 | 2025-04-01 03:13:22 | pipy | 1 | 13983 | 8 | 0.263 | 53167.3 | 
		| 644 | 2025-03-31 08:10:36 | pipy | 1 | 13983 | 8 | 0.800 | 17478.8 | 
		| 643 | 2025-03-29 15:57:08 | pipy | 1 | 13983 | 8 | 0.483 | 28950.3 | 
		| 642 | 2025-03-27 13:57:34 | pipy | 1 | 13983 | 8 | 0.966 | 14475.2 | 
		| 641 | 2025-03-15 20:12:30 | pipy | 1 | 13983 | 8 | 1.123 | 12451.5 | 
		| 640 | 2025-03-15 15:06:58 | pipy | 2 | 29872 | 185 | 4.090 | 7303.7 | 
		| 639 | 2025-03-15 13:10:41 | pipy | 2 | 29872 | 185 | 9.000 | 3319.1 | 
		| 638 | 2025-03-15 13:09:13 | pipy | 1 | 13983 | 8 | 0.483 | 28950.3 | 
		| 637 | 2025-03-07 21:37:38 | pipy | 1 | 13983 | 8 | 0.233 | 60012.9 | 
		| 636 | 2025-03-06 23:24:08 | pipy | 2 | 29872 | 185 | 1.780 | 16782.0 | 
		| 635 | 2025-03-06 23:09:46 | pipy | 1 | 13983 | 8 | 0.266 | 52567.7 | 
		| 634 | 2025-03-02 00:31:40 | pipy | 2 | 29872 | 185 | 4.310 | 6930.9 | 
		| 633 | 2025-03-02 00:31:04 | pipy | 1 | 13983 | 8 | 1.313 | 10649.7 | 
		| 632 | 2025-02-26 08:45:44 | pipy | 2 | 29872 | 185 | 4.046 | 7383.1 | 
		| 631 | 2025-02-26 07:11:59 | pipy | 2 | 29872 | 185 | 2.310 | 12931.6 | 
		| 630 | 2025-02-25 00:25:45 | pipy | 1 | 13983 | 8 | 0.250 | 55932.0 | 
		| 629 | 2025-02-24 23:15:16 | pipy | 1 | 13983 | 8 | 0.296 | 47239.9 | 
		| 628 | 2025-02-20 22:00:54 | pipy | 1 | 13983 | 8 | 1.343 | 10411.8 | 
		| 627 | 2025-02-04 20:01:59 | pipy | 2 | 29872 | 185 | 2.640 | 11315.2 | 
		| 626 | 2025-02-04 19:43:44 | pipy | 1 | 13983 | 8 | 0.250 | 55932.0 |