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 |
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 |
602 | 2025-03-11 08:33:54 | tensor | 3 | 112716 | 402 | 36.190 | 3114.6 |
601 | 2025-03-11 06:07:04 | tensor | 3 | 112716 | 402 | 28.033 | 4020.8 |
600 | 2025-03-01 04:07:12 | tensor | 3 | 112716 | 402 | 23.203 | 4857.8 |
599 | 2025-02-28 02:19:38 | tensor | 3 | 112716 | 402 | 12.796 | 8808.7 |
598 | 2025-02-28 00:36:24 | tensor | 1 | 48755 | 6 | 2.470 | 19738.9 |
597 | 2025-02-28 00:35:38 | tensor | 3 | 112716 | 402 | 17.233 | 6540.7 |
596 | 2025-02-28 00:35:32 | tensor | 2 | 82551 | 38 | 11.860 | 6960.5 |
595 | 2025-02-17 02:05:17 | tensor | 1 | 48755 | 6 | 3.530 | 13811.6 |
594 | 2025-02-14 22:46:47 | tensor | 1 | 48755 | 6 | 2.063 | 23633.1 |
593 | 2025-02-10 04:40:49 | tensor | 1 | 48755 | 6 | 5.530 | 8816.5 |
592 | 2025-02-09 07:25:40 | tensor | 1 | 48755 | 6 | 6.110 | 7979.5 |
591 | 2025-01-10 02:31:03 | tensor | 3 | 112716 | 402 | 30.220 | 3729.8 |
590 | 2025-01-10 02:22:54 | tensor | 1 | 48755 | 6 | 4.936 | 9877.4 |
589 | 2025-01-10 01:19:28 | tensor | 1 | 48755 | 6 | 4.373 | 11149.1 |
588 | 2025-01-09 22:36:10 | tensor | 1 | 48755 | 6 | 1.733 | 28133.3 |
587 | 2025-01-09 16:52:03 | tensor | 3 | 112716 | 402 | 19.173 | 5878.9 |
586 | 2025-01-09 16:50:20 | tensor | 2 | 82551 | 38 | 10.436 | 7910.2 |
585 | 2025-01-09 16:13:36 | tensor | 3 | 112716 | 402 | 7.140 | 15786.6 |
584 | 2025-01-09 16:13:37 | tensor | 2 | 82551 | 38 | 2.690 | 30688.1 |
583 | 2024-12-28 22:48:28 | tensor | 1 | 48755 | 6 | 4.546 | 10724.8 |
582 | 2024-12-10 17:21:32 | tensor | 1 | 48755 | 6 | 1.923 | 25353.6 |
581 | 2024-12-10 16:48:13 | tensor | 2 | 82551 | 38 | 9.626 | 8575.8 |
580 | 2024-12-10 14:16:08 | tensor | 2 | 82551 | 38 | 12.736 | 6481.7 |
579 | 2024-12-10 04:44:33 | tensor | 1 | 48755 | 6 | 1.763 | 27654.6 |
578 | 2024-12-10 04:19:38 | tensor | 2 | 82551 | 38 | 6.206 | 13301.8 |
577 | 2024-12-10 04:19:06 | tensor | 3 | 112716 | 402 | 5.656 | 19928.6 |
576 | 2024-12-10 01:19:53 | tensor | 3 | 112716 | 402 | 29.406 | 3833.1 |
575 | 2024-12-10 00:00:36 | tensor | 3 | 112716 | 402 | 28.203 | 3996.6 |
574 | 2024-12-10 00:00:34 | tensor | 2 | 82551 | 38 | 13.296 | 6208.7 |
573 | 2024-12-10 00:00:05 | tensor | 1 | 48755 | 6 | 1.970 | 24748.7 |