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 |
| 726 | 2025-12-07 14:32:57 | tensor | 1 | 48755 | 6 | 0.763 | 63899.1 |
| 725 | 2025-12-05 23:03:03 | tensor | 1 | 48755 | 6 | 0.873 | 55847.7 |
| 724 | 2025-12-05 07:29:39 | tensor | 1 | 48755 | 6 | 0.876 | 55656.4 |
| 723 | 2025-12-04 13:49:04 | tensor | 3 | 112716 | 402 | 5.376 | 20966.5 |
| 722 | 2025-12-03 11:30:20 | tensor | 1 | 48755 | 6 | 0.873 | 55847.7 |
| 721 | 2025-12-02 11:02:50 | tensor | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 720 | 2025-11-30 11:17:36 | tensor | 3 | 112716 | 402 | 6.016 | 18736.0 |
| 719 | 2025-11-29 01:28:14 | tensor | 3 | 112716 | 402 | 8.360 | 13482.8 |
| 718 | 2025-11-27 09:03:48 | tensor | 3 | 112716 | 402 | 5.830 | 19333.8 |
| 717 | 2025-11-24 23:05:16 | tensor | 3 | 112716 | 402 | 40.206 | 2803.5 |
| 716 | 2025-11-24 02:51:47 | tensor | 3 | 112716 | 402 | 17.923 | 6288.9 |
| 715 | 2025-11-23 18:45:32 | tensor | 1 | 48755 | 6 | 1.563 | 31193.2 |
| 714 | 2025-11-20 03:16:07 | tensor | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 713 | 2025-11-16 20:09:01 | tensor | 2 | 82551 | 38 | 5.890 | 14015.4 |
| 712 | 2025-11-15 12:03:58 | tensor | 1 | 48755 | 6 | 0.873 | 55847.7 |
| 711 | 2025-11-12 04:57:02 | tensor | 1 | 48755 | 6 | 0.783 | 62266.9 |
| 710 | 2025-11-08 01:35:01 | tensor | 1 | 48755 | 6 | 0.780 | 62506.4 |
| 709 | 2025-11-06 14:12:52 | tensor | 2 | 82551 | 38 | 2.220 | 37185.1 |
| 708 | 2025-11-05 12:11:19 | tensor | 2 | 82551 | 38 | 2.516 | 32810.4 |
| 707 | 2025-11-03 14:36:36 | tensor | 1 | 48755 | 6 | 1.280 | 38089.8 |
| 706 | 2025-11-02 10:21:42 | tensor | 1 | 48755 | 6 | 0.766 | 63648.8 |
| 705 | 2025-11-01 19:47:34 | tensor | 2 | 82551 | 38 | 2.216 | 37252.3 |
| 704 | 2025-11-01 11:58:20 | tensor | 3 | 112716 | 402 | 7.876 | 14311.3 |
| 703 | 2025-10-31 20:09:15 | tensor | 2 | 82551 | 38 | 2.236 | 36919.1 |
| 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 |