History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"harshness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
681 | 2024-05-30 18:11:55 | harshness | 1 | 81242 | 1 | 1.440 | 56418.1 |
680 | 2024-05-30 06:35:16 | harshness | 4 | 165329 | 751 | 56.816 | 2909.9 |
679 | 2024-05-30 06:35:17 | harshness | 3 | 148641 | 96 | 19.156 | 7759.5 |
678 | 2024-05-30 06:35:09 | harshness | 2 | 121436 | 14 | 20.750 | 5852.3 |
677 | 2024-05-30 06:34:48 | harshness | 1 | 81242 | 1 | 4.983 | 16303.8 |
676 | 2024-05-30 03:47:45 | harshness | 1 | 81242 | 1 | 4.143 | 19609.5 |
675 | 2024-05-09 07:35:16 | harshness | 1 | 81242 | 1 | 1.546 | 52549.8 |
674 | 2024-05-01 14:11:42 | harshness | 1 | 81242 | 1 | 3.343 | 24302.1 |
673 | 2024-05-01 11:10:24 | harshness | 1 | 81242 | 1 | 1.750 | 46424.0 |
672 | 2024-04-26 21:29:47 | harshness | 3 | 148641 | 96 | 24.346 | 6105.4 |
671 | 2024-04-26 09:53:00 | harshness | 1 | 81242 | 1 | 1.500 | 54161.3 |
670 | 2024-04-24 01:44:48 | harshness | 3 | 148641 | 96 | 28.203 | 5270.4 |
669 | 2024-04-24 00:58:28 | harshness | 3 | 148641 | 96 | 13.873 | 10714.4 |
668 | 2024-04-23 11:19:48 | harshness | 4 | 165329 | 751 | 34.206 | 4833.3 |
667 | 2024-04-23 11:19:46 | harshness | 3 | 148641 | 96 | 30.860 | 4816.6 |
666 | 2024-04-23 11:18:56 | harshness | 2 | 121436 | 14 | 18.936 | 6413.0 |
665 | 2024-04-23 11:18:39 | harshness | 1 | 81242 | 1 | 4.110 | 19766.9 |
664 | 2024-04-23 04:02:11 | harshness | 4 | 165329 | 751 | 27.563 | 5998.2 |
663 | 2024-04-23 04:02:17 | harshness | 3 | 148641 | 96 | 16.503 | 9006.9 |
662 | 2024-04-23 04:02:14 | harshness | 2 | 121436 | 14 | 10.110 | 12011.5 |
661 | 2024-04-23 03:18:07 | harshness | 1 | 81242 | 1 | 1.796 | 45235.0 |
660 | 2024-04-03 16:48:47 | harshness | 3 | 148641 | 96 | 25.203 | 5897.8 |
659 | 2024-03-26 03:55:45 | harshness | 2 | 121436 | 14 | 4.626 | 26250.8 |
658 | 2024-03-23 18:50:14 | harshness | 3 | 148641 | 96 | 26.346 | 5641.9 |
657 | 2024-03-23 18:39:23 | harshness | 2 | 121436 | 14 | 11.236 | 10807.8 |
656 | 2024-03-23 07:49:53 | harshness | 1 | 81242 | 1 | 1.326 | 61268.5 |
655 | 2024-03-23 02:42:29 | harshness | 4 | 165329 | 751 | 41.203 | 4012.5 |
654 | 2024-03-22 12:22:33 | harshness | 3 | 148641 | 96 | 18.113 | 8206.3 |
653 | 2024-03-22 08:00:48 | harshness | 4 | 165329 | 751 | 46.566 | 3550.4 |
652 | 2024-03-22 08:00:48 | harshness | 3 | 148641 | 96 | 17.763 | 8368.0 |
651 | 2024-03-22 08:00:24 | harshness | 2 | 121436 | 14 | 9.186 | 13219.7 |
650 | 2024-03-21 23:35:01 | harshness | 3 | 148641 | 96 | 26.753 | 5556.0 |
649 | 2024-03-21 23:34:59 | harshness | 4 | 165329 | 751 | 18.733 | 8825.5 |
648 | 2024-03-21 23:35:02 | harshness | 2 | 121436 | 14 | 4.656 | 26081.6 |
647 | 2024-03-21 22:13:35 | harshness | 1 | 81242 | 1 | 1.470 | 55266.7 |
646 | 2024-03-19 23:48:44 | harshness | 1 | 81242 | 1 | 1.483 | 54782.2 |
645 | 2024-03-01 18:33:12 | harshness | 1 | 81242 | 1 | 4.656 | 17448.9 |
644 | 2024-02-22 12:48:17 | harshness | 2 | 121436 | 14 | 12.533 | 9689.3 |
643 | 2024-02-22 12:26:42 | harshness | 3 | 148641 | 96 | 26.656 | 5576.3 |
642 | 2024-02-22 03:33:27 | harshness | 1 | 81242 | 1 | 1.766 | 46003.4 |
641 | 2024-02-21 22:28:48 | harshness | 4 | 165329 | 751 | 45.203 | 3657.5 |
640 | 2024-02-21 22:28:41 | harshness | 4 | 165329 | 751 | 15.483 | 10678.1 |
639 | 2024-02-21 01:45:37 | harshness | 4 | 165329 | 751 | 19.873 | 8319.3 |
638 | 2024-02-20 05:54:22 | harshness | 1 | 81242 | 1 | 1.516 | 53589.7 |
637 | 2024-02-03 15:39:37 | harshness | 1 | 81242 | 1 | 1.373 | 59171.2 |
636 | 2024-01-23 20:58:34 | harshness | 4 | 165329 | 751 | 10.516 | 15721.7 |
635 | 2024-01-23 13:26:09 | harshness | 4 | 165329 | 751 | 54.456 | 3036.0 |
634 | 2024-01-22 09:39:45 | harshness | 1 | 81242 | 1 | 1.390 | 58447.5 |
633 | 2024-01-19 17:22:43 | harshness | 4 | 165329 | 751 | 12.126 | 13634.3 |
632 | 2024-01-13 05:14:39 | harshness | 4 | 165329 | 751 | 12.546 | 13177.8 |
631 | 2023-12-07 22:47:56 | harshness | 3 | 148641 | 96 | 14.796 | 10046.0 |
630 | 2023-12-04 05:03:23 | harshness | 1 | 81242 | 1 | 1.283 | 63321.9 |
629 | 2023-11-28 10:24:05 | harshness | 1 | 81242 | 1 | 1.233 | 65889.7 |
628 | 2023-11-23 13:41:49 | harshness | 1 | 81242 | 1 | 1.580 | 51419.0 |
627 | 2023-11-17 09:31:00 | harshness | 1 | 81242 | 1 | 1.250 | 64993.6 |
626 | 2023-11-17 09:06:56 | harshness | 4 | 165329 | 751 | 13.016 | 12702.0 |
625 | 2023-10-17 10:49:31 | harshness | 1 | 81242 | 1 | 3.000 | 27080.7 |
624 | 2023-10-14 16:40:20 | harshness | 1 | 81242 | 1 | 1.236 | 65729.8 |
623 | 2023-09-06 07:10:22 | harshness | 3 | 148641 | 96 | 6.763 | 21978.6 |
622 | 2023-09-04 12:15:07 | harshness | 1 | 81242 | 1 | 1.373 | 59171.2 |
621 | 2023-08-18 12:14:29 | harshness | 4 | 165329 | 751 | 11.686 | 14147.6 |
620 | 2023-08-10 10:27:41 | harshness | 1 | 81242 | 1 | 1.236 | 65729.8 |
619 | 2023-08-09 17:22:12 | harshness | 4 | 165329 | 751 | 11.796 | 14015.7 |
618 | 2023-08-09 11:19:01 | harshness | 1 | 81242 | 1 | 1.266 | 64172.2 |
617 | 2023-07-28 19:35:55 | harshness | 1 | 81242 | 1 | 1.373 | 59171.2 |
616 | 2023-07-16 16:53:40 | harshness | 1 | 81242 | 1 | 1.266 | 64172.2 |
615 | 2023-06-29 06:19:09 | harshness | 4 | 165329 | 751 | 10.546 | 15676.9 |
614 | 2023-05-24 22:55:26 | harshness | 3 | 148641 | 96 | 6.093 | 24395.4 |
613 | 2023-05-22 01:29:19 | harshness | 1 | 81242 | 1 | 1.236 | 65729.8 |
612 | 2023-05-06 23:57:44 | harshness | 1 | 81242 | 1 | 1.233 | 65889.7 |
611 | 2023-05-02 17:29:04 | harshness | 4 | 165329 | 751 | 10.310 | 16035.8 |
610 | 2023-04-05 21:06:35 | harshness | 1 | 81242 | 1 | 2.656 | 30588.1 |
609 | 2023-04-01 16:15:18 | harshness | 1 | 81242 | 1 | 1.343 | 60492.9 |
608 | 2023-03-24 22:19:27 | harshness | 1 | 81242 | 1 | 1.360 | 59736.8 |
607 | 2023-03-17 02:27:40 | harshness | 1 | 81242 | 1 | 1.203 | 67532.8 |
606 | 2023-03-06 10:48:42 | harshness | 3 | 148641 | 96 | 6.190 | 24013.1 |
605 | 2023-02-07 23:59:23 | harshness | 4 | 165329 | 751 | 10.343 | 15984.6 |
604 | 2023-02-06 13:44:47 | harshness | 1 | 81242 | 1 | 1.420 | 57212.7 |
603 | 2023-01-22 06:11:27 | harshness | 1 | 81242 | 1 | 1.360 | 59736.8 |
602 | 2023-01-09 00:43:04 | harshness | 1 | 81242 | 1 | 1.326 | 61268.5 |
601 | 2022-12-21 05:42:07 | harshness | 1 | 81242 | 1 | 1.203 | 67532.8 |
600 | 2022-12-17 04:18:11 | harshness | 1 | 81242 | 1 | 1.326 | 61268.5 |
599 | 2022-12-12 20:24:23 | harshness | 3 | 148641 | 96 | 6.096 | 24383.4 |
598 | 2022-12-08 02:45:32 | harshness | 1 | 81242 | 1 | 1.186 | 68500.8 |
597 | 2022-11-25 02:57:55 | harshness | 4 | 165329 | 751 | 11.373 | 14537.0 |
596 | 2022-11-20 03:32:32 | harshness | 4 | 165329 | 751 | 10.470 | 15790.7 |
595 | 2022-10-21 23:11:56 | harshness | 1 | 81242 | 1 | 1.236 | 65729.8 |
594 | 2022-10-18 06:31:13 | harshness | 1 | 81242 | 1 | 1.203 | 67532.8 |
593 | 2022-09-20 12:41:12 | harshness | 1 | 81242 | 1 | 1.216 | 66810.9 |
592 | 2022-09-08 12:06:44 | harshness | 1 | 81242 | 1 | 1.360 | 59736.8 |
591 | 2022-08-07 06:51:38 | harshness | 1 | 81242 | 1 | 1.250 | 64993.6 |
590 | 2022-08-04 23:54:06 | harshness | 1 | 81242 | 1 | 1.236 | 65729.8 |
589 | 2022-08-03 23:31:16 | harshness | 1 | 81242 | 1 | 1.250 | 64993.6 |
588 | 2022-07-19 18:21:34 | harshness | 1 | 81242 | 1 | 1.250 | 64993.6 |
587 | 2022-07-13 07:54:30 | harshness | 3 | 148641 | 96 | 6.093 | 24395.4 |
586 | 2022-06-15 12:20:32 | harshness | 1 | 81242 | 1 | 1.236 | 65729.8 |
585 | 2022-06-08 13:51:59 | harshness | 1 | 81242 | 1 | 1.296 | 62686.7 |
584 | 2022-05-31 23:31:55 | harshness | 1 | 81242 | 1 | 1.203 | 67532.8 |
583 | 2022-05-04 13:18:00 | harshness | 1 | 81242 | 1 | 1.500 | 54161.3 |
582 | 2022-05-03 02:39:26 | harshness | 4 | 165329 | 751 | 12.733 | 12984.3 |