History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "tensor"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 702 | 2025-10-25 18:59:21 | tensor | 1 | 48755 | 6 | 0.856 | 56956.8 | 
		| 701 | 2025-10-25 18:59:16 | tensor | 1 | 48755 | 6 | 0.856 | 56956.8 | 
		| 700 | 2025-10-24 09:53:07 | tensor | 1 | 48755 | 6 | 0.876 | 55656.4 | 
		| 699 | 2025-10-24 09:52:22 | tensor | 1 | 48755 | 6 | 0.873 | 55847.7 | 
		| 698 | 2025-10-24 01:50:57 | tensor | 1 | 48755 | 6 | 0.810 | 60191.4 | 
		| 697 | 2025-10-18 07:38:41 | tensor | 3 | 112716 | 402 | 5.500 | 20493.8 | 
		| 696 | 2025-10-17 22:57:59 | tensor | 1 | 48755 | 6 | 0.890 | 54780.9 | 
		| 695 | 2025-10-11 16:32:31 | tensor | 1 | 48755 | 6 | 1.080 | 45143.5 | 
		| 694 | 2025-09-29 03:39:53 | tensor | 3 | 112716 | 402 | 5.563 | 20261.7 | 
		| 693 | 2025-09-28 11:46:24 | tensor | 1 | 48755 | 6 | 0.890 | 54780.9 | 
		| 692 | 2025-09-20 03:36:18 | tensor | 3 | 112716 | 402 | 5.656 | 19928.6 | 
		| 691 | 2025-09-16 16:06:40 | tensor | 1 | 48755 | 6 | 0.856 | 56956.8 | 
		| 690 | 2025-09-09 20:00:34 | tensor | 3 | 112716 | 402 | 5.390 | 20912.1 | 
		| 689 | 2025-09-09 20:00:28 | tensor | 2 | 82551 | 38 | 2.720 | 30349.6 | 
		| 688 | 2025-09-06 22:41:10 | tensor | 3 | 112716 | 402 | 4.796 | 23502.1 | 
		| 687 | 2025-09-06 00:03:43 | tensor | 2 | 82551 | 38 | 2.203 | 37472.1 | 
		| 686 | 2025-09-05 20:23:51 | tensor | 3 | 112716 | 402 | 5.626 | 20034.8 | 
		| 685 | 2025-09-04 08:41:42 | tensor | 1 | 48755 | 6 | 0.843 | 57835.1 | 
		| 684 | 2025-09-04 03:17:28 | tensor | 1 | 48755 | 6 | 0.860 | 56691.9 | 
		| 683 | 2025-09-03 21:29:58 | tensor | 2 | 82551 | 38 | 2.500 | 33020.4 | 
		| 682 | 2025-09-02 09:05:11 | tensor | 3 | 112716 | 402 | 5.220 | 21593.1 | 
		| 681 | 2025-09-01 15:20:18 | tensor | 3 | 112716 | 402 | 5.903 | 19094.7 | 
		| 680 | 2025-09-01 01:58:12 | tensor | 1 | 48755 | 6 | 0.810 | 60191.4 | 
		| 679 | 2025-09-01 00:20:41 | tensor | 3 | 112716 | 402 | 5.623 | 20045.5 | 
		| 678 | 2025-08-28 16:49:17 | tensor | 1 | 48755 | 6 | 1.000 | 48755.0 | 
		| 677 | 2025-08-27 11:48:26 | tensor | 1 | 48755 | 6 | 1.016 | 47987.2 | 
		| 676 | 2025-08-25 15:36:11 | tensor | 1 | 48755 | 6 | 2.016 | 24184.0 | 
		| 675 | 2025-08-24 06:00:55 | tensor | 1 | 48755 | 6 | 0.843 | 57835.1 | 
		| 674 | 2025-08-16 06:50:51 | tensor | 1 | 48755 | 6 | 0.890 | 54780.9 | 
		| 673 | 2025-08-14 03:26:18 | tensor | 2 | 82551 | 38 | 2.953 | 27955.0 | 
		| 672 | 2025-08-05 06:50:43 | tensor | 1 | 48755 | 6 | 2.360 | 20658.9 | 
		| 671 | 2025-08-01 13:51:02 | tensor | 3 | 112716 | 402 | 35.766 | 3151.5 | 
		| 670 | 2025-08-01 02:18:43 | tensor | 1 | 48755 | 6 | 2.220 | 21961.7 | 
		| 669 | 2025-07-31 19:08:43 | tensor | 1 | 48755 | 6 | 4.733 | 10301.1 | 
		| 668 | 2025-07-30 23:34:54 | tensor | 1 | 48755 | 6 | 4.016 | 12140.2 | 
		| 667 | 2025-07-25 09:07:51 | tensor | 1 | 48755 | 6 | 1.936 | 25183.4 | 
		| 666 | 2025-07-24 21:53:54 | tensor | 1 | 48755 | 6 | 5.373 | 9074.1 | 
		| 665 | 2025-07-23 22:31:49 | tensor | 1 | 48755 | 6 | 2.576 | 18926.6 | 
		| 664 | 2025-07-23 19:35:26 | tensor | 1 | 48755 | 6 | 2.953 | 16510.3 | 
		| 663 | 2025-07-22 13:50:51 | tensor | 1 | 48755 | 6 | 1.860 | 26212.4 | 
		| 662 | 2025-07-17 04:10:40 | tensor | 2 | 82551 | 38 | 5.456 | 15130.3 | 
		| 661 | 2025-07-16 11:39:45 | tensor | 1 | 48755 | 6 | 3.763 | 12956.4 | 
		| 660 | 2025-07-16 02:20:07 | tensor | 1 | 48755 | 6 | 1.766 | 27607.6 | 
		| 659 | 2025-07-14 03:21:17 | tensor | 1 | 48755 | 6 | 7.750 | 6291.0 | 
		| 658 | 2025-07-13 11:45:34 | tensor | 2 | 82551 | 38 | 4.576 | 18040.0 | 
		| 657 | 2025-07-10 03:19:58 | tensor | 3 | 112716 | 402 | 25.313 | 4452.9 | 
		| 656 | 2025-07-08 09:04:24 | tensor | 1 | 48755 | 6 | 2.860 | 17047.2 | 
		| 655 | 2025-07-06 14:35:04 | tensor | 1 | 48755 | 6 | 0.890 | 54780.9 | 
		| 654 | 2025-07-05 18:29:58 | tensor | 1 | 48755 | 6 | 4.283 | 11383.4 | 
		| 653 | 2025-07-04 18:03:55 | tensor | 3 | 112716 | 402 | 11.796 | 9555.4 | 
		| 652 | 2025-07-02 21:17:11 | tensor | 1 | 48755 | 6 | 2.716 | 17951.0 | 
		| 651 | 2025-07-02 06:46:25 | tensor | 1 | 48755 | 6 | 2.780 | 17537.8 | 
		| 650 | 2025-06-26 17:24:27 | tensor | 1 | 48755 | 6 | 5.423 | 8990.4 | 
		| 649 | 2025-06-24 17:49:48 | tensor | 1 | 48755 | 6 | 4.253 | 11463.7 | 
		| 648 | 2025-06-23 01:34:06 | tensor | 1 | 48755 | 6 | 0.763 | 63899.1 | 
		| 647 | 2025-06-21 14:58:03 | tensor | 1 | 48755 | 6 | 4.220 | 11553.3 | 
		| 646 | 2025-06-20 16:53:56 | tensor | 1 | 48755 | 6 | 6.406 | 7610.8 | 
		| 645 | 2025-06-15 22:56:05 | tensor | 1 | 48755 | 6 | 4.470 | 10907.2 | 
		| 644 | 2025-06-14 19:01:55 | tensor | 1 | 48755 | 6 | 6.470 | 7535.5 | 
		| 643 | 2025-06-12 19:03:16 | tensor | 3 | 112716 | 402 | 4.940 | 22817.0 | 
		| 642 | 2025-06-10 12:19:45 | tensor | 3 | 112716 | 402 | 32.033 | 3518.7 | 
		| 641 | 2025-06-10 11:00:35 | tensor | 3 | 112716 | 402 | 24.143 | 4668.7 | 
		| 640 | 2025-06-10 02:57:09 | tensor | 1 | 48755 | 6 | 1.733 | 28133.3 | 
		| 639 | 2025-06-10 00:58:00 | tensor | 3 | 112716 | 402 | 21.116 | 5337.9 | 
		| 638 | 2025-06-09 22:40:33 | tensor | 3 | 112716 | 402 | 23.563 | 4783.6 | 
		| 637 | 2025-06-09 22:31:31 | tensor | 3 | 112716 | 402 | 30.360 | 3712.6 | 
		| 636 | 2025-06-08 13:41:06 | tensor | 3 | 112716 | 402 | 28.330 | 3978.7 | 
		| 635 | 2025-06-07 17:44:56 | tensor | 2 | 82551 | 38 | 2.576 | 32046.2 | 
		| 634 | 2025-06-02 05:46:16 | tensor | 1 | 48755 | 6 | 2.186 | 22303.3 | 
		| 633 | 2025-05-29 11:59:54 | tensor | 1 | 48755 | 6 | 4.220 | 11553.3 | 
		| 632 | 2025-05-28 14:21:35 | tensor | 1 | 48755 | 6 | 0.860 | 56691.9 | 
		| 631 | 2025-05-22 17:51:14 | tensor | 1 | 48755 | 6 | 4.406 | 11065.6 | 
		| 630 | 2025-05-20 16:11:11 | tensor | 1 | 48755 | 6 | 4.390 | 11105.9 | 
		| 629 | 2025-05-20 11:28:53 | tensor | 1 | 48755 | 6 | 2.110 | 23106.6 | 
		| 628 | 2025-05-18 05:44:35 | tensor | 2 | 82551 | 38 | 11.593 | 7120.8 | 
		| 627 | 2025-05-15 23:07:30 | tensor | 2 | 82551 | 38 | 11.813 | 6988.1 | 
		| 626 | 2025-05-14 22:18:20 | tensor | 1 | 48755 | 6 | 1.843 | 26454.2 | 
		| 625 | 2025-05-14 20:09:43 | tensor | 1 | 48755 | 6 | 0.763 | 63899.1 | 
		| 624 | 2025-05-13 08:59:01 | tensor | 1 | 48755 | 6 | 0.873 | 55847.7 | 
		| 623 | 2025-05-12 16:52:04 | tensor | 1 | 48755 | 6 | 3.813 | 12786.5 | 
		| 622 | 2025-05-11 00:13:07 | tensor | 1 | 48755 | 6 | 5.593 | 8717.1 | 
		| 621 | 2025-05-03 01:03:04 | tensor | 1 | 48755 | 6 | 4.673 | 10433.3 | 
		| 620 | 2025-05-02 05:45:13 | tensor | 1 | 48755 | 6 | 5.936 | 8213.4 | 
		| 619 | 2025-04-29 10:42:54 | tensor | 3 | 112716 | 402 | 11.733 | 9606.8 | 
		| 618 | 2025-04-26 23:00:13 | tensor | 3 | 112716 | 402 | 21.640 | 5208.7 | 
		| 617 | 2025-04-20 21:56:14 | tensor | 3 | 112716 | 402 | 25.070 | 4496.1 | 
		| 616 | 2025-04-20 14:24:58 | tensor | 1 | 48755 | 6 | 2.313 | 21078.7 | 
		| 615 | 2025-04-20 01:38:05 | tensor | 3 | 112716 | 402 | 26.686 | 4223.8 | 
		| 614 | 2025-04-14 10:24:43 | tensor | 1 | 48755 | 6 | 3.780 | 12898.1 | 
		| 613 | 2025-04-13 22:41:13 | tensor | 1 | 48755 | 6 | 4.203 | 11600.0 | 
		| 612 | 2025-03-31 07:13:48 | tensor | 1 | 48755 | 6 | 6.030 | 8085.4 | 
		| 611 | 2025-03-24 17:26:54 | tensor | 2 | 82551 | 38 | 2.516 | 32810.4 | 
		| 610 | 2025-03-20 18:57:42 | tensor | 1 | 48755 | 6 | 4.093 | 11911.8 | 
		| 609 | 2025-03-20 18:42:58 | tensor | 2 | 82551 | 38 | 13.110 | 6296.8 | 
		| 608 | 2025-03-19 23:36:37 | tensor | 3 | 112716 | 402 | 18.736 | 6016.0 | 
		| 607 | 2025-03-19 16:41:21 | tensor | 1 | 48755 | 6 | 0.733 | 66514.3 | 
		| 606 | 2025-03-18 13:10:25 | tensor | 1 | 48755 | 6 | 2.156 | 22613.6 | 
		| 605 | 2025-03-12 23:05:05 | tensor | 1 | 48755 | 6 | 4.423 | 11023.1 | 
		| 604 | 2025-03-12 17:30:20 | tensor | 1 | 48755 | 6 | 3.800 | 12830.3 | 
		| 603 | 2025-03-11 10:03:12 | tensor | 3 | 112716 | 402 | 23.533 | 4789.7 |