History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"layers"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
728 | 2025-09-05 10:36:08 | layers | 2 | 82551 | 229 | 2.236 | 36919.1 |
727 | 2025-09-04 22:51:53 | layers | 2 | 82551 | 229 | 2.406 | 34310.5 |
726 | 2025-09-04 17:06:18 | layers | 1 | 48755 | 15 | 0.843 | 57835.1 |
725 | 2025-09-03 09:38:00 | layers | 2 | 82551 | 229 | 2.563 | 32208.7 |
724 | 2025-09-01 07:12:50 | layers | 2 | 82551 | 229 | 2.640 | 31269.3 |
723 | 2025-08-31 16:07:24 | layers | 1 | 48755 | 15 | 0.800 | 60943.8 |
722 | 2025-08-31 02:52:18 | layers | 1 | 48755 | 15 | 0.873 | 55847.7 |
721 | 2025-08-30 06:21:48 | layers | 1 | 48755 | 15 | 0.780 | 62506.4 |
720 | 2025-08-29 16:11:23 | layers | 2 | 82551 | 229 | 2.233 | 36968.7 |
719 | 2025-08-29 16:07:23 | layers | 2 | 82551 | 229 | 2.516 | 32810.4 |
718 | 2025-08-28 23:58:51 | layers | 2 | 82551 | 229 | 2.233 | 36968.7 |
717 | 2025-08-28 14:22:54 | layers | 2 | 82551 | 229 | 7.143 | 11556.9 |
716 | 2025-08-28 09:27:21 | layers | 1 | 48755 | 15 | 1.670 | 29194.6 |
715 | 2025-08-28 00:43:57 | layers | 2 | 82551 | 229 | 4.610 | 17906.9 |
714 | 2025-08-27 04:05:32 | layers | 1 | 48755 | 15 | 0.873 | 55847.7 |
713 | 2025-08-25 08:21:39 | layers | 1 | 48755 | 15 | 4.146 | 11759.5 |
712 | 2025-08-24 23:39:21 | layers | 1 | 48755 | 15 | 6.330 | 7702.2 |
711 | 2025-08-24 10:27:49 | layers | 1 | 48755 | 15 | 3.483 | 13998.0 |
710 | 2025-08-22 18:25:16 | layers | 1 | 48755 | 15 | 0.876 | 55656.4 |
709 | 2025-08-09 17:55:29 | layers | 1 | 48755 | 15 | 1.063 | 45865.5 |
708 | 2025-08-08 21:32:16 | layers | 1 | 48755 | 15 | 3.376 | 14441.6 |
707 | 2025-08-05 23:42:12 | layers | 2 | 82551 | 229 | 7.703 | 10716.7 |
706 | 2025-08-05 01:28:01 | layers | 2 | 82551 | 229 | 6.533 | 12636.0 |
705 | 2025-08-04 17:45:10 | layers | 1 | 48755 | 15 | 1.906 | 25579.7 |
704 | 2025-08-03 23:45:22 | layers | 2 | 82551 | 229 | 8.966 | 9207.1 |
703 | 2025-07-31 17:36:53 | layers | 1 | 48755 | 15 | 3.500 | 13930.0 |
702 | 2025-07-31 03:56:16 | layers | 1 | 48755 | 15 | 1.813 | 26891.9 |
701 | 2025-07-27 12:06:00 | layers | 1 | 48755 | 15 | 2.016 | 24184.0 |
700 | 2025-07-25 04:21:05 | layers | 1 | 48755 | 15 | 2.216 | 22001.4 |
699 | 2025-07-24 06:27:55 | layers | 1 | 48755 | 15 | 5.216 | 9347.2 |
698 | 2025-07-24 01:17:29 | layers | 1 | 48755 | 15 | 2.296 | 21234.8 |
697 | 2025-07-23 17:33:49 | layers | 1 | 48755 | 15 | 3.796 | 12843.8 |
696 | 2025-07-23 05:48:02 | layers | 1 | 48755 | 15 | 3.220 | 15141.3 |
695 | 2025-07-23 05:47:04 | layers | 1 | 48755 | 15 | 2.000 | 24377.5 |
694 | 2025-07-22 23:48:31 | layers | 1 | 48755 | 15 | 3.983 | 12240.8 |
693 | 2025-07-18 09:25:55 | layers | 1 | 48755 | 15 | 3.733 | 13060.5 |
692 | 2025-07-14 21:54:25 | layers | 2 | 82551 | 229 | 6.470 | 12759.0 |
691 | 2025-07-09 21:16:50 | layers | 1 | 48755 | 15 | 5.030 | 9692.8 |
690 | 2025-07-05 17:08:44 | layers | 1 | 48755 | 15 | 2.546 | 19149.6 |
689 | 2025-07-04 00:23:11 | layers | 2 | 82551 | 229 | 12.923 | 6387.9 |
688 | 2025-07-03 00:08:26 | layers | 2 | 82551 | 229 | 19.766 | 4176.4 |
687 | 2025-06-24 11:06:35 | layers | 1 | 48755 | 15 | 3.890 | 12533.4 |
686 | 2025-06-09 20:40:39 | layers | 1 | 48755 | 15 | 4.390 | 11105.9 |
685 | 2025-06-05 16:08:25 | layers | 1 | 48755 | 15 | 1.343 | 36303.1 |
684 | 2025-06-05 10:14:32 | layers | 1 | 48755 | 15 | 2.310 | 21106.1 |
683 | 2025-06-04 00:14:54 | layers | 1 | 48755 | 15 | 5.703 | 8549.0 |
682 | 2025-06-03 16:01:34 | layers | 2 | 82551 | 229 | 8.796 | 9385.1 |
681 | 2025-06-01 10:42:57 | layers | 2 | 82551 | 229 | 6.233 | 13244.2 |
680 | 2025-06-01 05:35:43 | layers | 1 | 48755 | 15 | 4.406 | 11065.6 |
679 | 2025-05-30 23:49:25 | layers | 1 | 48755 | 15 | 2.420 | 20146.7 |
678 | 2025-05-30 09:18:06 | layers | 2 | 82551 | 229 | 12.923 | 6387.9 |
677 | 2025-05-30 04:51:59 | layers | 1 | 48755 | 15 | 2.110 | 23106.6 |
676 | 2025-05-26 09:40:42 | layers | 1 | 48755 | 15 | 3.376 | 14441.6 |
675 | 2025-05-24 23:18:31 | layers | 1 | 48755 | 15 | 0.876 | 55656.4 |
674 | 2025-05-21 21:55:04 | layers | 1 | 48755 | 15 | 2.063 | 23633.1 |
673 | 2025-05-18 09:15:01 | layers | 1 | 48755 | 15 | 2.186 | 22303.3 |
672 | 2025-05-16 06:33:01 | layers | 1 | 48755 | 15 | 2.766 | 17626.5 |
671 | 2025-05-11 00:57:05 | layers | 2 | 82551 | 229 | 19.140 | 4313.0 |
670 | 2025-05-09 23:44:45 | layers | 2 | 82551 | 229 | 19.373 | 4261.1 |
669 | 2025-05-09 21:01:46 | layers | 1 | 48755 | 15 | 2.283 | 21355.7 |
668 | 2025-05-08 04:56:37 | layers | 1 | 48755 | 15 | 1.906 | 25579.7 |
667 | 2025-05-08 04:35:35 | layers | 1 | 48755 | 15 | 3.513 | 13878.5 |
666 | 2025-05-08 04:23:47 | layers | 1 | 48755 | 15 | 4.516 | 10796.1 |
665 | 2025-05-01 00:26:29 | layers | 1 | 48755 | 15 | 2.203 | 22131.2 |
664 | 2025-04-23 10:33:52 | layers | 1 | 48755 | 15 | 2.606 | 18708.7 |
663 | 2025-04-15 05:17:10 | layers | 1 | 48755 | 15 | 3.186 | 15302.9 |
662 | 2025-04-08 12:17:23 | layers | 1 | 48755 | 15 | 4.576 | 10654.5 |
661 | 2025-04-07 20:44:43 | layers | 1 | 48755 | 15 | 4.906 | 9937.8 |
660 | 2025-04-06 15:29:30 | layers | 1 | 48755 | 15 | 3.546 | 13749.3 |
659 | 2025-04-06 08:08:15 | layers | 1 | 48755 | 15 | 4.156 | 11731.2 |
658 | 2025-03-31 01:04:01 | layers | 1 | 48755 | 15 | 2.513 | 19401.1 |
657 | 2025-03-21 16:52:19 | layers | 1 | 48755 | 15 | 3.623 | 13457.1 |
656 | 2025-03-15 08:30:02 | layers | 1 | 48755 | 15 | 5.483 | 8892.0 |
655 | 2025-03-11 00:49:50 | layers | 1 | 48755 | 15 | 1.890 | 25796.3 |
654 | 2025-03-09 08:51:59 | layers | 1 | 48755 | 15 | 3.703 | 13166.4 |
653 | 2025-03-07 20:14:57 | layers | 1 | 48755 | 15 | 4.153 | 11739.7 |
652 | 2025-03-06 23:29:24 | layers | 2 | 82551 | 229 | 10.126 | 8152.4 |
651 | 2025-03-06 20:53:09 | layers | 1 | 48755 | 15 | 3.750 | 13001.3 |
650 | 2025-03-06 19:53:51 | layers | 1 | 48755 | 15 | 3.376 | 14441.6 |
649 | 2025-02-27 17:54:43 | layers | 1 | 48755 | 15 | 5.940 | 8207.9 |
648 | 2025-02-26 08:16:57 | layers | 1 | 48755 | 15 | 0.873 | 55847.7 |
647 | 2025-02-19 23:19:21 | layers | 1 | 48755 | 15 | 2.216 | 22001.4 |
646 | 2025-02-17 20:53:16 | layers | 2 | 82551 | 229 | 18.423 | 4480.9 |
645 | 2025-02-05 14:14:59 | layers | 2 | 82551 | 229 | 6.250 | 13208.2 |
644 | 2025-02-05 12:39:18 | layers | 2 | 82551 | 229 | 10.470 | 7884.5 |
643 | 2025-02-04 20:15:27 | layers | 1 | 48755 | 15 | 1.173 | 41564.4 |
642 | 2025-02-04 11:44:25 | layers | 1 | 48755 | 15 | 2.346 | 20782.2 |
641 | 2025-01-27 09:25:42 | layers | 2 | 82551 | 229 | 12.593 | 6555.3 |
640 | 2025-01-27 04:18:08 | layers | 2 | 82551 | 229 | 14.610 | 5650.3 |
639 | 2025-01-26 23:13:24 | layers | 2 | 82551 | 229 | 18.440 | 4476.7 |
638 | 2025-01-25 12:48:28 | layers | 2 | 82551 | 229 | 9.016 | 9156.1 |
637 | 2025-01-17 23:03:10 | layers | 1 | 48755 | 15 | 2.626 | 18566.3 |
636 | 2025-01-09 10:29:31 | layers | 1 | 48755 | 15 | 3.126 | 15596.6 |
635 | 2025-01-06 10:24:56 | layers | 2 | 82551 | 229 | 7.983 | 10340.8 |
634 | 2025-01-06 10:24:54 | layers | 1 | 48755 | 15 | 3.326 | 14658.7 |
633 | 2025-01-05 05:59:55 | layers | 1 | 48755 | 15 | 4.576 | 10654.5 |
632 | 2024-12-28 09:01:56 | layers | 2 | 82551 | 229 | 13.953 | 5916.4 |
631 | 2024-12-28 03:59:44 | layers | 2 | 82551 | 229 | 11.436 | 7218.5 |
630 | 2024-12-27 13:45:38 | layers | 2 | 82551 | 229 | 19.160 | 4308.5 |
629 | 2024-12-26 21:20:33 | layers | 1 | 48755 | 15 | 0.876 | 55656.4 |