History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coplots"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
686 | 2025-08-22 10:26:38 | coplots | 1 | 69583 | 4 | 1.126 | 61796.6 |
685 | 2025-08-10 17:37:53 | coplots | 1 | 69583 | 4 | 3.203 | 21724.3 |
684 | 2025-08-09 14:06:19 | coplots | 1 | 69583 | 4 | 2.796 | 24886.6 |
683 | 2025-08-05 04:39:08 | coplots | 1 | 69583 | 4 | 4.826 | 14418.4 |
682 | 2025-08-04 15:09:44 | coplots | 1 | 69583 | 4 | 2.640 | 26357.2 |
681 | 2025-08-02 00:32:45 | coplots | 1 | 69583 | 4 | 2.780 | 25029.9 |
680 | 2025-07-29 10:27:56 | coplots | 1 | 69583 | 4 | 2.830 | 24587.6 |
679 | 2025-07-28 16:12:29 | coplots | 3 | 134027 | 368 | 16.186 | 8280.4 |
678 | 2025-07-28 11:19:46 | coplots | 2 | 107671 | 23 | 21.466 | 5015.9 |
677 | 2025-07-28 08:55:38 | coplots | 3 | 134027 | 368 | 16.530 | 8108.1 |
676 | 2025-07-26 07:43:20 | coplots | 1 | 69583 | 4 | 6.720 | 10354.6 |
675 | 2025-07-23 05:13:39 | coplots | 1 | 69583 | 4 | 3.030 | 22964.7 |
674 | 2025-07-22 18:27:20 | coplots | 1 | 69583 | 4 | 4.516 | 15408.1 |
673 | 2025-07-22 00:05:31 | coplots | 1 | 69583 | 4 | 1.126 | 61796.6 |
672 | 2025-07-17 23:35:11 | coplots | 2 | 107671 | 23 | 9.110 | 11819.0 |
671 | 2025-07-12 08:23:43 | coplots | 1 | 69583 | 4 | 1.313 | 52995.4 |
670 | 2025-07-10 20:17:44 | coplots | 1 | 69583 | 4 | 5.313 | 13096.7 |
669 | 2025-07-08 05:36:09 | coplots | 2 | 107671 | 23 | 16.686 | 6452.8 |
668 | 2025-07-05 14:50:02 | coplots | 1 | 69583 | 4 | 7.080 | 9828.1 |
667 | 2025-06-29 12:31:17 | coplots | 2 | 107671 | 23 | 16.626 | 6476.1 |
666 | 2025-06-28 13:23:26 | coplots | 1 | 69583 | 4 | 6.730 | 10339.2 |
665 | 2025-06-16 14:21:31 | coplots | 2 | 107671 | 23 | 10.440 | 10313.3 |
664 | 2025-06-15 02:17:21 | coplots | 3 | 134027 | 368 | 7.156 | 18729.3 |
663 | 2025-06-15 01:31:44 | coplots | 3 | 134027 | 368 | 7.283 | 18402.7 |
662 | 2025-06-13 06:05:44 | coplots | 3 | 134027 | 368 | 45.630 | 2937.3 |
661 | 2025-06-12 10:53:59 | coplots | 1 | 69583 | 4 | 3.486 | 19960.7 |
660 | 2025-06-11 04:20:04 | coplots | 2 | 107671 | 23 | 22.486 | 4788.4 |
659 | 2025-06-11 03:21:59 | coplots | 3 | 134027 | 368 | 17.203 | 7790.9 |
658 | 2025-06-09 14:52:21 | coplots | 1 | 69583 | 4 | 1.330 | 52318.0 |
657 | 2025-06-08 05:17:25 | coplots | 1 | 69583 | 4 | 6.270 | 11097.8 |
656 | 2025-06-04 14:45:58 | coplots | 1 | 69583 | 4 | 7.360 | 9454.2 |
655 | 2025-06-02 05:34:51 | coplots | 3 | 134027 | 368 | 22.470 | 5964.7 |
654 | 2025-05-31 23:30:14 | coplots | 1 | 69583 | 4 | 7.970 | 8730.6 |
653 | 2025-05-31 06:56:31 | coplots | 1 | 69583 | 4 | 8.360 | 8323.3 |
652 | 2025-05-31 01:15:46 | coplots | 1 | 69583 | 4 | 3.063 | 22717.3 |
651 | 2025-05-30 10:58:55 | coplots | 1 | 69583 | 4 | 3.593 | 19366.3 |
650 | 2025-05-27 12:58:17 | coplots | 1 | 69583 | 4 | 5.060 | 13751.6 |
649 | 2025-05-23 21:31:05 | coplots | 2 | 107671 | 23 | 18.173 | 5924.8 |
648 | 2025-05-22 13:02:43 | coplots | 1 | 69583 | 4 | 4.983 | 13964.1 |
647 | 2025-05-20 11:47:49 | coplots | 1 | 69583 | 4 | 3.526 | 19734.3 |
646 | 2025-05-16 14:57:28 | coplots | 2 | 107671 | 23 | 13.703 | 7857.5 |
645 | 2025-05-15 01:49:50 | coplots | 3 | 134027 | 368 | 7.173 | 18684.9 |
644 | 2025-05-10 19:51:01 | coplots | 3 | 134027 | 368 | 35.236 | 3803.7 |
643 | 2025-05-08 04:50:47 | coplots | 1 | 69583 | 4 | 5.360 | 12981.9 |
642 | 2025-05-08 00:11:33 | coplots | 3 | 134027 | 368 | 33.473 | 4004.0 |
641 | 2025-05-02 14:41:28 | coplots | 1 | 69583 | 4 | 5.720 | 12164.9 |
640 | 2025-04-25 11:28:01 | coplots | 1 | 69583 | 4 | 3.030 | 22964.7 |
639 | 2025-04-24 01:36:24 | coplots | 3 | 134027 | 368 | 35.576 | 3767.3 |
638 | 2025-04-23 04:52:24 | coplots | 3 | 134027 | 368 | 39.033 | 3433.7 |
637 | 2025-04-23 00:00:17 | coplots | 3 | 134027 | 368 | 39.546 | 3389.1 |
636 | 2025-04-21 06:07:02 | coplots | 2 | 107671 | 23 | 17.626 | 6108.6 |
635 | 2025-04-21 03:56:24 | coplots | 3 | 134027 | 368 | 35.253 | 3801.9 |
634 | 2025-04-20 10:25:37 | coplots | 1 | 69583 | 4 | 1.170 | 59472.6 |
633 | 2025-04-04 04:29:10 | coplots | 1 | 69583 | 4 | 6.190 | 11241.2 |
632 | 2025-04-03 12:49:05 | coplots | 2 | 107671 | 23 | 2.890 | 37256.4 |
631 | 2025-04-01 07:47:21 | coplots | 3 | 134027 | 368 | 9.940 | 13483.6 |
630 | 2025-03-29 17:07:15 | coplots | 1 | 69583 | 4 | 5.076 | 13708.2 |
629 | 2025-03-27 15:12:01 | coplots | 3 | 134027 | 368 | 43.643 | 3071.0 |
628 | 2025-03-27 02:31:27 | coplots | 3 | 134027 | 368 | 42.560 | 3149.1 |
627 | 2025-03-27 02:14:09 | coplots | 2 | 107671 | 23 | 22.720 | 4739.0 |
626 | 2025-03-26 00:50:03 | coplots | 1 | 69583 | 4 | 1.313 | 52995.4 |
625 | 2025-03-25 02:17:57 | coplots | 3 | 134027 | 368 | 40.063 | 3345.4 |
624 | 2025-03-21 21:57:36 | coplots | 2 | 107671 | 23 | 13.766 | 7821.5 |
623 | 2025-03-21 21:05:47 | coplots | 3 | 134027 | 368 | 6.610 | 20276.4 |
622 | 2025-03-20 13:07:20 | coplots | 1 | 69583 | 4 | 4.453 | 15626.1 |
621 | 2025-03-19 12:09:23 | coplots | 1 | 69583 | 4 | 1.190 | 58473.1 |
620 | 2025-03-16 11:43:13 | coplots | 1 | 69583 | 4 | 4.170 | 16686.6 |
619 | 2025-03-04 04:41:43 | coplots | 1 | 69583 | 4 | 3.283 | 21194.9 |
618 | 2025-02-28 18:15:13 | coplots | 1 | 69583 | 4 | 6.063 | 11476.7 |
617 | 2025-02-18 10:23:31 | coplots | 1 | 69583 | 4 | 4.623 | 15051.5 |
616 | 2025-01-23 22:31:33 | coplots | 1 | 69583 | 4 | 5.173 | 13451.2 |
615 | 2025-01-17 05:01:01 | coplots | 1 | 69583 | 4 | 6.393 | 10884.2 |
614 | 2025-01-15 06:12:16 | coplots | 1 | 69583 | 4 | 5.236 | 13289.3 |
613 | 2025-01-15 03:58:11 | coplots | 1 | 69583 | 4 | 5.750 | 12101.4 |
612 | 2024-12-30 07:27:04 | coplots | 1 | 69583 | 4 | 5.686 | 12237.6 |
611 | 2024-12-20 03:10:57 | coplots | 1 | 69583 | 4 | 8.203 | 8482.6 |
610 | 2024-12-12 06:22:14 | coplots | 1 | 69583 | 4 | 6.080 | 11444.6 |
609 | 2024-11-26 05:31:00 | coplots | 1 | 69583 | 4 | 5.890 | 11813.8 |
608 | 2024-11-19 18:19:03 | coplots | 1 | 69583 | 4 | 2.673 | 26031.8 |
607 | 2024-11-11 01:23:07 | coplots | 2 | 107671 | 23 | 16.860 | 6386.2 |
606 | 2024-11-10 02:48:14 | coplots | 1 | 69583 | 4 | 6.126 | 11358.6 |
605 | 2024-11-09 03:35:20 | coplots | 1 | 69583 | 4 | 9.030 | 7705.8 |
604 | 2024-10-26 03:58:45 | coplots | 3 | 134027 | 368 | 38.563 | 3475.5 |
603 | 2024-10-25 20:51:56 | coplots | 3 | 134027 | 368 | 42.753 | 3134.9 |
602 | 2024-10-24 07:46:49 | coplots | 3 | 134027 | 368 | 36.093 | 3713.4 |
601 | 2024-10-22 21:47:07 | coplots | 2 | 107671 | 23 | 15.860 | 6788.8 |
600 | 2024-10-22 21:46:52 | coplots | 3 | 134027 | 368 | 20.003 | 6700.3 |
599 | 2024-10-22 21:44:14 | coplots | 1 | 69583 | 4 | 2.940 | 23667.7 |
598 | 2024-10-20 10:50:03 | coplots | 1 | 69583 | 4 | 6.140 | 11332.7 |
597 | 2024-09-15 12:47:22 | coplots | 1 | 69583 | 4 | 9.470 | 7347.7 |
596 | 2024-09-09 12:16:20 | coplots | 3 | 134027 | 368 | 27.393 | 4892.7 |
595 | 2024-09-08 23:26:19 | coplots | 3 | 134027 | 368 | 61.303 | 2186.3 |
594 | 2024-09-08 07:26:30 | coplots | 2 | 107671 | 23 | 16.593 | 6488.9 |
593 | 2024-09-08 07:22:12 | coplots | 2 | 107671 | 23 | 36.000 | 2990.9 |
592 | 2024-09-08 06:26:26 | coplots | 3 | 134027 | 368 | 38.986 | 3437.8 |
591 | 2024-09-08 06:26:29 | coplots | 2 | 107671 | 23 | 22.423 | 4801.8 |
590 | 2024-09-08 06:25:39 | coplots | 1 | 69583 | 4 | 8.533 | 8154.6 |
589 | 2024-09-04 17:03:04 | coplots | 1 | 69583 | 4 | 4.923 | 14134.3 |
588 | 2024-08-21 01:53:46 | coplots | 1 | 69583 | 4 | 6.046 | 11508.9 |
587 | 2024-08-13 23:58:42 | coplots | 1 | 69583 | 4 | 4.876 | 14270.5 |