History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"naiveness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
709 | 2024-04-06 23:27:36 | naiveness | 1 | 81242 | 2 | 5.000 | 16248.4 |
708 | 2024-03-28 15:03:19 | naiveness | 1 | 81242 | 2 | 1.406 | 57782.4 |
707 | 2024-03-21 20:58:02 | naiveness | 4 | 165329 | 670 | 43.376 | 3811.5 |
706 | 2024-03-16 18:52:51 | naiveness | 1 | 81242 | 2 | 2.610 | 31127.2 |
705 | 2024-03-06 03:46:41 | naiveness | 1 | 81242 | 2 | 3.640 | 22319.2 |
704 | 2024-03-04 19:44:55 | naiveness | 4 | 165329 | 670 | 41.453 | 3988.3 |
703 | 2024-03-04 15:10:27 | naiveness | 4 | 165329 | 670 | 48.723 | 3393.2 |
702 | 2024-03-04 13:55:29 | naiveness | 4 | 165329 | 670 | 11.156 | 14819.7 |
701 | 2024-02-27 11:09:13 | naiveness | 1 | 81242 | 2 | 1.360 | 59736.8 |
700 | 2024-02-11 07:39:56 | naiveness | 1 | 81242 | 2 | 11.686 | 6952.1 |
699 | 2024-01-25 09:47:09 | naiveness | 1 | 81242 | 2 | 1.330 | 61084.2 |
698 | 2024-01-23 15:23:27 | naiveness | 4 | 165329 | 670 | 29.863 | 5536.2 |
697 | 2024-01-21 06:29:46 | naiveness | 4 | 165329 | 670 | 10.703 | 15447.0 |
696 | 2024-01-15 01:14:00 | naiveness | 4 | 165329 | 670 | 16.673 | 9916.0 |
695 | 2024-01-08 12:11:38 | naiveness | 4 | 165329 | 670 | 11.720 | 14106.6 |
694 | 2023-12-28 19:02:51 | naiveness | 1 | 81242 | 2 | 1.360 | 59736.8 |
693 | 2023-12-03 11:17:03 | naiveness | 1 | 81242 | 2 | 1.360 | 59736.8 |
692 | 2023-11-26 18:38:00 | naiveness | 4 | 165329 | 670 | 10.780 | 15336.6 |
691 | 2023-11-21 19:05:41 | naiveness | 1 | 81242 | 2 | 1.393 | 58321.6 |
690 | 2023-11-18 03:32:29 | naiveness | 4 | 165329 | 670 | 11.623 | 14224.3 |
689 | 2023-10-16 23:04:49 | naiveness | 1 | 81242 | 2 | 1.513 | 53696.0 |
688 | 2023-09-12 01:18:58 | naiveness | 4 | 165329 | 670 | 15.020 | 11007.3 |
687 | 2023-09-08 20:29:57 | naiveness | 1 | 81242 | 2 | 1.233 | 65889.7 |
686 | 2023-08-31 00:15:41 | naiveness | 4 | 165329 | 670 | 11.236 | 14714.2 |
685 | 2023-08-30 15:45:51 | naiveness | 4 | 165329 | 670 | 12.096 | 13668.1 |
684 | 2023-08-25 10:15:58 | naiveness | 4 | 165329 | 670 | 10.610 | 15582.4 |
683 | 2023-06-27 22:28:30 | naiveness | 4 | 165329 | 670 | 12.546 | 13177.8 |
682 | 2023-06-19 12:27:24 | naiveness | 1 | 81242 | 2 | 1.216 | 66810.9 |
681 | 2023-06-15 15:47:28 | naiveness | 1 | 81242 | 2 | 1.376 | 59042.2 |
680 | 2023-05-10 23:17:01 | naiveness | 4 | 165329 | 670 | 13.533 | 12216.7 |
679 | 2023-04-12 09:10:33 | naiveness | 4 | 165329 | 670 | 14.253 | 11599.6 |
678 | 2023-04-11 09:05:04 | naiveness | 4 | 165329 | 670 | 12.686 | 13032.4 |
677 | 2023-04-10 09:07:19 | naiveness | 4 | 165329 | 670 | 12.096 | 13668.1 |
676 | 2023-04-09 09:13:58 | naiveness | 4 | 165329 | 670 | 11.283 | 14652.9 |
675 | 2023-04-08 09:15:09 | naiveness | 4 | 165329 | 670 | 11.720 | 14106.6 |
674 | 2023-04-07 09:03:47 | naiveness | 4 | 165329 | 670 | 12.843 | 12873.1 |
673 | 2023-04-06 10:40:01 | naiveness | 4 | 165329 | 670 | 15.000 | 11021.9 |
672 | 2023-04-05 10:37:08 | naiveness | 4 | 165329 | 670 | 12.236 | 13511.7 |
671 | 2023-04-04 09:47:00 | naiveness | 4 | 165329 | 670 | 13.580 | 12174.4 |
670 | 2023-04-03 09:12:49 | naiveness | 4 | 165329 | 670 | 14.330 | 11537.3 |
669 | 2023-04-02 08:59:23 | naiveness | 4 | 165329 | 670 | 13.220 | 12506.0 |
668 | 2023-04-01 11:02:35 | naiveness | 1 | 81242 | 2 | 1.220 | 66591.8 |
667 | 2023-04-01 08:59:05 | naiveness | 4 | 165329 | 670 | 24.110 | 6857.3 |
666 | 2023-03-31 08:54:05 | naiveness | 4 | 165329 | 670 | 13.236 | 12490.9 |
665 | 2023-03-30 08:44:57 | naiveness | 4 | 165329 | 670 | 18.156 | 9106.0 |
664 | 2023-03-29 08:58:31 | naiveness | 4 | 165329 | 670 | 12.876 | 12840.1 |
663 | 2023-03-28 08:52:07 | naiveness | 4 | 165329 | 670 | 10.906 | 15159.5 |
662 | 2023-03-27 10:15:30 | naiveness | 4 | 165329 | 670 | 12.033 | 13739.6 |
661 | 2023-03-26 10:07:39 | naiveness | 4 | 165329 | 670 | 13.546 | 12205.0 |
660 | 2023-03-25 10:07:58 | naiveness | 4 | 165329 | 670 | 12.300 | 13441.4 |
659 | 2023-03-24 10:21:47 | naiveness | 4 | 165329 | 670 | 10.970 | 15071.0 |
658 | 2023-03-23 10:16:12 | naiveness | 4 | 165329 | 670 | 11.923 | 13866.4 |
657 | 2023-03-22 10:12:35 | naiveness | 4 | 165329 | 670 | 13.410 | 12328.8 |
656 | 2023-03-21 10:09:35 | naiveness | 4 | 165329 | 670 | 12.690 | 13028.3 |
655 | 2023-03-20 09:50:16 | naiveness | 4 | 165329 | 670 | 12.596 | 13125.5 |
654 | 2023-03-19 10:01:35 | naiveness | 4 | 165329 | 670 | 20.630 | 8014.0 |
653 | 2023-03-18 08:41:50 | naiveness | 4 | 165329 | 670 | 13.390 | 12347.2 |
652 | 2023-03-17 08:36:19 | naiveness | 4 | 165329 | 670 | 14.686 | 11257.6 |
651 | 2023-03-15 08:16:07 | naiveness | 4 | 165329 | 670 | 11.813 | 13995.5 |
650 | 2023-03-14 08:46:24 | naiveness | 4 | 165329 | 670 | 10.360 | 15958.4 |
649 | 2023-03-13 08:34:41 | naiveness | 4 | 165329 | 670 | 19.330 | 8553.0 |
648 | 2023-03-12 10:00:45 | naiveness | 4 | 165329 | 670 | 12.186 | 13567.1 |
647 | 2023-03-10 08:29:25 | naiveness | 4 | 165329 | 670 | 14.296 | 11564.7 |
646 | 2023-03-09 08:58:43 | naiveness | 4 | 165329 | 670 | 12.046 | 13724.8 |
645 | 2023-03-08 08:26:58 | naiveness | 4 | 165329 | 670 | 10.970 | 15071.0 |
644 | 2023-03-07 08:26:41 | naiveness | 4 | 165329 | 670 | 10.576 | 15632.5 |
643 | 2023-03-04 08:13:18 | naiveness | 4 | 165329 | 670 | 12.283 | 13460.0 |
642 | 2023-03-03 08:13:34 | naiveness | 4 | 165329 | 670 | 13.500 | 12246.6 |
641 | 2023-03-01 07:24:58 | naiveness | 4 | 165329 | 670 | 10.766 | 15356.6 |
640 | 2023-02-28 07:28:47 | naiveness | 4 | 165329 | 670 | 11.093 | 14903.9 |
639 | 2023-02-27 08:56:17 | naiveness | 4 | 165329 | 670 | 13.046 | 12672.8 |
638 | 2023-02-26 08:56:12 | naiveness | 4 | 165329 | 670 | 16.596 | 9962.0 |
637 | 2023-02-25 09:05:24 | naiveness | 4 | 165329 | 670 | 12.156 | 13600.6 |
636 | 2023-02-24 08:53:39 | naiveness | 4 | 165329 | 670 | 12.830 | 12886.1 |
635 | 2023-02-22 07:15:52 | naiveness | 4 | 165329 | 670 | 12.703 | 13015.0 |
634 | 2023-02-21 16:32:37 | naiveness | 1 | 81242 | 2 | 1.343 | 60492.9 |
633 | 2023-02-20 09:17:57 | naiveness | 4 | 165329 | 670 | 16.533 | 9999.9 |
632 | 2023-02-19 22:36:49 | naiveness | 4 | 165329 | 670 | 10.420 | 15866.5 |
631 | 2023-02-19 09:15:09 | naiveness | 4 | 165329 | 670 | 16.156 | 10233.3 |
630 | 2023-02-18 09:16:45 | naiveness | 4 | 165329 | 670 | 10.766 | 15356.6 |
629 | 2023-02-17 08:13:48 | naiveness | 4 | 165329 | 670 | 11.673 | 14163.4 |
628 | 2023-02-16 09:38:57 | naiveness | 4 | 165329 | 670 | 11.436 | 14456.9 |
627 | 2023-02-15 07:38:24 | naiveness | 4 | 165329 | 670 | 11.770 | 14046.6 |
626 | 2023-02-12 21:45:51 | naiveness | 4 | 165329 | 670 | 10.440 | 15836.1 |
625 | 2023-02-01 10:37:08 | naiveness | 4 | 165329 | 670 | 20.906 | 7908.2 |
624 | 2023-01-31 03:56:55 | naiveness | 4 | 165329 | 670 | 12.876 | 12840.1 |
623 | 2023-01-30 05:43:57 | naiveness | 4 | 165329 | 670 | 11.923 | 13866.4 |
622 | 2023-01-29 08:28:25 | naiveness | 4 | 165329 | 670 | 12.076 | 13690.7 |
621 | 2023-01-28 10:08:09 | naiveness | 4 | 165329 | 670 | 12.076 | 13690.7 |
620 | 2023-01-06 00:56:26 | naiveness | 1 | 81242 | 2 | 1.216 | 66810.9 |
619 | 2022-12-01 19:00:52 | naiveness | 4 | 165329 | 670 | 10.406 | 15887.9 |
618 | 2022-10-24 22:17:16 | naiveness | 1 | 81242 | 2 | 1.233 | 65889.7 |
617 | 2022-09-28 01:04:00 | naiveness | 1 | 81242 | 2 | 1.250 | 64993.6 |
616 | 2022-07-10 07:50:04 | naiveness | 4 | 165329 | 670 | 10.703 | 15447.0 |
615 | 2022-06-29 04:50:41 | naiveness | 4 | 165329 | 670 | 10.560 | 15656.2 |
614 | 2022-06-27 12:24:56 | naiveness | 1 | 81242 | 2 | 1.233 | 65889.7 |
613 | 2022-06-07 12:00:06 | naiveness | 4 | 165329 | 670 | 12.643 | 13076.7 |
612 | 2022-06-06 06:59:37 | naiveness | 4 | 165329 | 670 | 12.393 | 13340.5 |
611 | 2022-06-05 08:42:58 | naiveness | 4 | 165329 | 670 | 14.516 | 11389.4 |
610 | 2022-06-04 05:40:17 | naiveness | 4 | 165329 | 670 | 13.486 | 12259.3 |