History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sparse"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
682 | 2025-07-11 00:18:39 | sparse | 1 | 48755 | 7 | 5.953 | 8190.0 |
681 | 2025-07-09 23:47:39 | sparse | 1 | 48755 | 7 | 4.076 | 11961.5 |
680 | 2025-07-09 17:21:55 | sparse | 1 | 48755 | 7 | 0.766 | 63648.8 |
679 | 2025-07-07 22:28:22 | sparse | 2 | 82551 | 101 | 6.063 | 13615.5 |
678 | 2025-07-02 14:18:21 | sparse | 2 | 82551 | 101 | 11.813 | 6988.1 |
677 | 2025-06-30 23:09:00 | sparse | 1 | 48755 | 7 | 1.813 | 26891.9 |
676 | 2025-06-30 06:24:21 | sparse | 1 | 48755 | 7 | 5.093 | 9572.9 |
675 | 2025-06-28 01:23:32 | sparse | 1 | 48755 | 7 | 4.186 | 11647.2 |
674 | 2025-06-24 23:48:25 | sparse | 2 | 82551 | 101 | 2.813 | 29346.2 |
673 | 2025-06-21 15:54:08 | sparse | 1 | 48755 | 7 | 4.453 | 10948.8 |
672 | 2025-06-19 19:54:29 | sparse | 1 | 48755 | 7 | 6.410 | 7606.1 |
671 | 2025-06-18 07:26:03 | sparse | 2 | 82551 | 101 | 7.873 | 10485.3 |
670 | 2025-06-17 03:35:56 | sparse | 2 | 82551 | 101 | 11.936 | 6916.1 |
669 | 2025-06-14 10:12:11 | sparse | 1 | 48755 | 7 | 1.970 | 24748.7 |
668 | 2025-06-13 12:34:20 | sparse | 2 | 82551 | 101 | 2.406 | 34310.5 |
667 | 2025-06-12 11:46:21 | sparse | 1 | 48755 | 7 | 4.190 | 11636.0 |
666 | 2025-06-10 17:26:40 | sparse | 2 | 82551 | 101 | 9.893 | 8344.4 |
665 | 2025-06-09 22:49:27 | sparse | 1 | 48755 | 7 | 2.203 | 22131.2 |
664 | 2025-06-09 11:19:16 | sparse | 2 | 82551 | 101 | 2.736 | 30172.1 |
663 | 2025-06-08 00:15:47 | sparse | 2 | 82551 | 101 | 16.953 | 4869.4 |
662 | 2025-06-04 07:25:58 | sparse | 1 | 48755 | 7 | 4.140 | 11776.6 |
661 | 2025-06-04 07:11:01 | sparse | 1 | 48755 | 7 | 4.440 | 10980.9 |
660 | 2025-05-31 10:28:41 | sparse | 1 | 48755 | 7 | 2.250 | 21668.9 |
659 | 2025-05-30 16:03:43 | sparse | 1 | 48755 | 7 | 3.716 | 13120.3 |
658 | 2025-05-29 15:34:44 | sparse | 2 | 82551 | 101 | 10.923 | 7557.5 |
657 | 2025-05-26 23:48:28 | sparse | 1 | 48755 | 7 | 4.440 | 10980.9 |
656 | 2025-05-23 11:03:08 | sparse | 1 | 48755 | 7 | 4.313 | 11304.2 |
655 | 2025-05-15 05:16:45 | sparse | 1 | 48755 | 7 | 0.813 | 59969.2 |
654 | 2025-05-15 02:48:08 | sparse | 1 | 48755 | 7 | 0.906 | 53813.5 |
653 | 2025-05-14 11:04:31 | sparse | 1 | 48755 | 7 | 2.170 | 22467.7 |
652 | 2025-05-10 01:17:50 | sparse | 1 | 48755 | 7 | 1.763 | 27654.6 |
651 | 2025-05-09 18:31:34 | sparse | 1 | 48755 | 7 | 0.890 | 54780.9 |
650 | 2025-05-03 18:30:46 | sparse | 1 | 48755 | 7 | 0.923 | 52822.3 |
649 | 2025-04-29 05:01:10 | sparse | 1 | 48755 | 7 | 4.110 | 11862.5 |
648 | 2025-04-26 12:52:42 | sparse | 1 | 48755 | 7 | 2.326 | 20960.9 |
647 | 2025-04-20 14:40:46 | sparse | 1 | 48755 | 7 | 2.750 | 17729.1 |
646 | 2025-04-20 04:47:16 | sparse | 1 | 48755 | 7 | 6.080 | 8018.9 |
645 | 2025-04-17 12:50:35 | sparse | 2 | 82551 | 101 | 2.420 | 34112.0 |
644 | 2025-04-15 06:25:14 | sparse | 1 | 48755 | 7 | 0.763 | 63899.1 |
643 | 2025-04-14 10:20:14 | sparse | 1 | 48755 | 7 | 2.203 | 22131.2 |
642 | 2025-04-11 11:54:00 | sparse | 1 | 48755 | 7 | 3.970 | 12280.9 |
641 | 2025-04-09 20:39:37 | sparse | 1 | 48755 | 7 | 1.826 | 26700.4 |
640 | 2025-04-07 22:46:03 | sparse | 1 | 48755 | 7 | 1.970 | 24748.7 |
639 | 2025-03-29 23:50:44 | sparse | 1 | 48755 | 7 | 0.843 | 57835.1 |
638 | 2025-03-29 06:39:23 | sparse | 1 | 48755 | 7 | 3.920 | 12437.5 |
637 | 2025-03-28 19:02:02 | sparse | 1 | 48755 | 7 | 0.890 | 54780.9 |
636 | 2025-03-19 17:29:27 | sparse | 1 | 48755 | 7 | 0.936 | 52088.7 |
635 | 2025-03-14 18:16:48 | sparse | 1 | 48755 | 7 | 10.876 | 4482.8 |
634 | 2025-03-11 22:58:21 | sparse | 1 | 48755 | 7 | 2.796 | 17437.4 |
633 | 2025-03-07 15:13:29 | sparse | 1 | 48755 | 7 | 4.063 | 11999.8 |
632 | 2025-02-26 11:39:29 | sparse | 1 | 48755 | 7 | 3.910 | 12469.3 |
631 | 2025-02-23 03:17:34 | sparse | 1 | 48755 | 7 | 4.563 | 10684.9 |
630 | 2025-02-17 16:30:11 | sparse | 1 | 48755 | 7 | 2.296 | 21234.8 |
629 | 2025-02-08 10:57:19 | sparse | 1 | 48755 | 7 | 3.846 | 12676.8 |
628 | 2025-02-07 20:39:26 | sparse | 1 | 48755 | 7 | 2.406 | 20263.9 |
627 | 2025-01-29 15:08:22 | sparse | 1 | 48755 | 7 | 4.406 | 11065.6 |
626 | 2025-01-27 11:23:44 | sparse | 1 | 48755 | 7 | 4.123 | 11825.1 |
625 | 2025-01-19 23:14:33 | sparse | 1 | 48755 | 7 | 4.220 | 11553.3 |
624 | 2024-12-29 22:40:43 | sparse | 1 | 48755 | 7 | 2.876 | 16952.4 |
623 | 2024-12-28 16:28:55 | sparse | 2 | 82551 | 101 | 12.610 | 6546.5 |
622 | 2024-12-28 09:57:54 | sparse | 2 | 82551 | 101 | 7.810 | 10569.9 |
621 | 2024-12-28 09:57:39 | sparse | 1 | 48755 | 7 | 4.043 | 12059.1 |
620 | 2024-12-21 20:13:50 | sparse | 1 | 48755 | 7 | 1.783 | 27344.4 |
619 | 2024-12-19 13:00:06 | sparse | 1 | 48755 | 7 | 3.656 | 13335.6 |
618 | 2024-11-27 22:03:41 | sparse | 1 | 48755 | 7 | 3.483 | 13998.0 |
617 | 2024-11-19 06:24:35 | sparse | 1 | 48755 | 7 | 1.720 | 28345.9 |
616 | 2024-11-12 05:27:17 | sparse | 1 | 48755 | 7 | 0.860 | 56691.9 |
615 | 2024-11-10 01:47:13 | sparse | 2 | 82551 | 101 | 8.843 | 9335.2 |
614 | 2024-11-09 12:49:55 | sparse | 2 | 82551 | 101 | 9.830 | 8397.9 |
613 | 2024-11-09 09:26:43 | sparse | 1 | 48755 | 7 | 0.860 | 56691.9 |
612 | 2024-10-28 20:53:57 | sparse | 1 | 48755 | 7 | 2.046 | 23829.4 |
611 | 2024-10-27 05:27:39 | sparse | 1 | 48755 | 7 | 6.046 | 8064.0 |
610 | 2024-10-26 12:04:57 | sparse | 1 | 48755 | 7 | 6.313 | 7723.0 |
609 | 2024-10-20 10:09:17 | sparse | 1 | 48755 | 7 | 4.063 | 11999.8 |
608 | 2024-10-20 04:01:25 | sparse | 1 | 48755 | 7 | 4.360 | 11182.3 |
607 | 2024-09-30 01:10:30 | sparse | 1 | 48755 | 7 | 8.640 | 5642.9 |
606 | 2024-09-28 16:57:38 | sparse | 1 | 48755 | 7 | 6.420 | 7594.2 |
605 | 2024-09-09 02:34:59 | sparse | 1 | 48755 | 7 | 7.250 | 6724.8 |
604 | 2024-09-04 22:50:57 | sparse | 1 | 48755 | 7 | 3.220 | 15141.3 |
603 | 2024-09-02 06:15:39 | sparse | 1 | 48755 | 7 | 4.640 | 10507.5 |
602 | 2024-08-30 23:44:55 | sparse | 1 | 48755 | 7 | 3.736 | 13050.1 |
601 | 2024-08-29 07:41:28 | sparse | 1 | 48755 | 7 | 5.876 | 8297.3 |
600 | 2024-08-17 20:27:39 | sparse | 1 | 48755 | 7 | 3.313 | 14716.3 |
599 | 2024-08-14 05:12:58 | sparse | 1 | 48755 | 7 | 7.703 | 6329.4 |
598 | 2024-08-11 08:10:56 | sparse | 1 | 48755 | 7 | 2.970 | 16415.8 |
597 | 2024-08-11 08:08:57 | sparse | 1 | 48755 | 7 | 3.156 | 15448.4 |
596 | 2024-07-30 16:02:19 | sparse | 1 | 48755 | 7 | 4.266 | 11428.7 |
595 | 2024-07-30 14:12:42 | sparse | 1 | 48755 | 7 | 1.500 | 32503.3 |
594 | 2024-07-30 05:36:06 | sparse | 1 | 48755 | 7 | 1.876 | 25988.8 |
593 | 2024-07-30 05:34:32 | sparse | 2 | 82551 | 101 | 8.220 | 10042.7 |
592 | 2024-07-30 01:57:26 | sparse | 2 | 82551 | 101 | 4.373 | 18877.4 |
591 | 2024-07-30 01:56:52 | sparse | 1 | 48755 | 7 | 1.796 | 27146.4 |
590 | 2024-07-21 09:45:24 | sparse | 1 | 48755 | 7 | 2.530 | 19270.8 |
589 | 2024-07-11 07:20:53 | sparse | 1 | 48755 | 7 | 7.266 | 6710.0 |
588 | 2024-07-04 23:35:58 | sparse | 1 | 48755 | 7 | 3.126 | 15596.6 |
587 | 2024-07-04 22:58:51 | sparse | 1 | 48755 | 7 | 4.436 | 10990.8 |
586 | 2024-07-04 22:58:47 | sparse | 1 | 48755 | 7 | 3.403 | 14327.1 |
585 | 2024-07-04 22:45:37 | sparse | 1 | 48755 | 7 | 3.763 | 12956.4 |
584 | 2024-06-30 01:12:43 | sparse | 1 | 48755 | 7 | 1.593 | 30605.8 |
583 | 2024-06-29 23:19:42 | sparse | 1 | 48755 | 7 | 2.890 | 16870.2 |