History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"analysis"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
738 | 2025-07-18 02:37:23 | analysis | 2 | 121059 | 19 | 17.490 | 6921.6 |
737 | 2025-07-16 06:18:49 | analysis | 1 | 82945 | 3 | 2.140 | 38759.3 |
736 | 2025-07-15 08:23:42 | analysis | 1 | 82945 | 3 | 3.873 | 21416.2 |
735 | 2025-07-15 07:32:11 | analysis | 1 | 82945 | 3 | 4.326 | 19173.6 |
734 | 2025-07-14 11:59:08 | analysis | 2 | 121059 | 19 | 20.170 | 6001.9 |
733 | 2025-07-13 13:36:35 | analysis | 1 | 82945 | 3 | 1.343 | 61761.0 |
732 | 2025-07-13 01:35:58 | analysis | 2 | 121059 | 19 | 5.253 | 23045.7 |
731 | 2025-07-11 23:48:31 | analysis | 3 | 146162 | 73 | 16.016 | 9126.0 |
730 | 2025-07-10 15:43:48 | analysis | 2 | 121059 | 19 | 9.563 | 12659.1 |
729 | 2025-07-10 09:55:20 | analysis | 3 | 146162 | 73 | 35.096 | 4164.6 |
728 | 2025-07-09 08:20:01 | analysis | 3 | 146162 | 73 | 8.063 | 18127.5 |
727 | 2025-07-04 13:14:19 | analysis | 3 | 146162 | 73 | 38.203 | 3825.9 |
726 | 2025-07-03 10:50:15 | analysis | 2 | 121059 | 19 | 19.423 | 6232.8 |
725 | 2025-07-03 02:26:59 | analysis | 3 | 146162 | 73 | 35.420 | 4126.5 |
724 | 2025-07-02 23:43:47 | analysis | 4 | 161609 | 477 | 72.783 | 2220.4 |
723 | 2025-07-02 07:55:51 | analysis | 1 | 82945 | 3 | 3.610 | 22976.5 |
722 | 2025-07-01 14:03:15 | analysis | 4 | 161609 | 477 | 12.550 | 12877.2 |
721 | 2025-07-01 07:19:39 | analysis | 1 | 82945 | 3 | 2.423 | 34232.4 |
720 | 2025-07-01 06:41:49 | analysis | 4 | 161609 | 477 | 14.123 | 11443.0 |
719 | 2025-06-29 21:52:53 | analysis | 3 | 146162 | 73 | 28.156 | 5191.1 |
718 | 2025-06-29 14:43:04 | analysis | 4 | 161609 | 477 | 19.983 | 8087.3 |
717 | 2025-06-29 14:36:32 | analysis | 3 | 146162 | 73 | 7.093 | 20606.5 |
716 | 2025-06-29 14:36:29 | analysis | 2 | 121059 | 19 | 3.563 | 33976.7 |
715 | 2025-06-29 14:36:15 | analysis | 1 | 82945 | 3 | 1.280 | 64800.8 |
714 | 2025-06-26 05:40:32 | analysis | 1 | 82945 | 3 | 3.720 | 22297.0 |
713 | 2025-06-18 00:41:26 | analysis | 1 | 82945 | 3 | 4.940 | 16790.5 |
712 | 2025-06-10 03:20:51 | analysis | 3 | 146162 | 73 | 31.790 | 4597.7 |
711 | 2025-06-10 01:13:19 | analysis | 3 | 146162 | 73 | 42.483 | 3440.5 |
710 | 2025-06-07 12:20:38 | analysis | 3 | 146162 | 73 | 7.733 | 18901.1 |
709 | 2025-06-05 21:54:38 | analysis | 1 | 82945 | 3 | 7.500 | 11059.3 |
708 | 2025-06-01 07:27:56 | analysis | 1 | 82945 | 3 | 6.670 | 12435.5 |
707 | 2025-05-29 11:04:04 | analysis | 1 | 82945 | 3 | 7.000 | 11849.3 |
706 | 2025-05-26 06:40:01 | analysis | 1 | 82945 | 3 | 4.110 | 20181.3 |
705 | 2025-05-18 10:47:25 | analysis | 4 | 161609 | 477 | 59.580 | 2712.5 |
704 | 2025-05-16 14:21:30 | analysis | 4 | 161609 | 477 | 74.446 | 2170.8 |
703 | 2025-05-16 05:27:54 | analysis | 4 | 161609 | 477 | 63.050 | 2563.2 |
702 | 2025-05-15 06:14:52 | analysis | 4 | 161609 | 477 | 12.436 | 12995.3 |
701 | 2025-05-15 06:08:16 | analysis | 2 | 121059 | 19 | 3.813 | 31749.0 |
700 | 2025-05-15 06:08:09 | analysis | 3 | 146162 | 73 | 7.030 | 20791.2 |
699 | 2025-05-15 06:07:54 | analysis | 1 | 82945 | 3 | 1.373 | 60411.5 |
698 | 2025-05-10 18:02:27 | analysis | 2 | 121059 | 19 | 21.500 | 5630.7 |
697 | 2025-05-10 15:49:42 | analysis | 3 | 146162 | 73 | 55.066 | 2654.3 |
696 | 2025-05-09 13:55:15 | analysis | 1 | 82945 | 3 | 1.453 | 57085.3 |
695 | 2025-05-07 12:46:25 | analysis | 1 | 82945 | 3 | 1.436 | 57761.1 |
694 | 2025-05-02 14:52:21 | analysis | 2 | 121059 | 19 | 9.720 | 12454.6 |
693 | 2025-05-01 07:41:41 | analysis | 1 | 82945 | 3 | 1.530 | 54212.4 |
692 | 2025-04-30 07:55:13 | analysis | 1 | 82945 | 3 | 4.330 | 19155.9 |
691 | 2025-04-29 07:47:06 | analysis | 3 | 146162 | 73 | 34.750 | 4206.1 |
690 | 2025-04-26 15:56:25 | analysis | 3 | 146162 | 73 | 28.053 | 5210.2 |
689 | 2025-04-18 02:48:57 | analysis | 3 | 146162 | 73 | 46.813 | 3122.3 |
688 | 2025-04-16 10:45:50 | analysis | 3 | 146162 | 73 | 27.813 | 5255.2 |
687 | 2025-04-09 00:50:07 | analysis | 3 | 146162 | 73 | 39.846 | 3668.2 |
686 | 2025-04-08 13:05:21 | analysis | 1 | 82945 | 3 | 1.343 | 61761.0 |
685 | 2025-04-04 13:24:09 | analysis | 4 | 161609 | 477 | 64.583 | 2502.3 |
684 | 2025-04-03 13:31:56 | analysis | 4 | 161609 | 477 | 32.380 | 4991.0 |
683 | 2025-03-31 10:11:01 | analysis | 1 | 82945 | 3 | 6.343 | 13076.6 |
682 | 2025-03-31 06:15:16 | analysis | 4 | 161609 | 477 | 86.956 | 1858.5 |
681 | 2025-03-29 11:29:56 | analysis | 4 | 161609 | 477 | 69.803 | 2315.2 |
680 | 2025-03-29 10:04:25 | analysis | 3 | 146162 | 73 | 28.596 | 5111.3 |
679 | 2025-03-29 08:11:06 | analysis | 2 | 121059 | 19 | 19.830 | 6104.8 |
678 | 2025-03-27 12:40:33 | analysis | 1 | 82945 | 3 | 8.173 | 10148.7 |
677 | 2025-03-27 09:25:27 | analysis | 1 | 82945 | 3 | 6.623 | 12523.8 |
676 | 2025-03-20 05:15:57 | analysis | 1 | 82945 | 3 | 10.830 | 7658.8 |
675 | 2025-02-25 10:08:47 | analysis | 1 | 82945 | 3 | 1.360 | 60989.0 |
674 | 2025-02-23 13:01:35 | analysis | 1 | 82945 | 3 | 7.453 | 11129.1 |
673 | 2025-02-07 13:28:27 | analysis | 2 | 121059 | 19 | 29.250 | 4138.8 |
672 | 2025-02-04 18:10:21 | analysis | 1 | 82945 | 3 | 7.143 | 11612.1 |
671 | 2025-01-30 08:27:28 | analysis | 2 | 121059 | 19 | 17.020 | 7112.7 |
670 | 2025-01-29 03:34:32 | analysis | 4 | 161609 | 477 | 61.313 | 2635.8 |
669 | 2025-01-27 12:35:20 | analysis | 4 | 161609 | 477 | 66.580 | 2427.3 |
668 | 2025-01-27 03:37:12 | analysis | 1 | 82945 | 3 | 7.173 | 11563.5 |
667 | 2025-01-26 19:44:19 | analysis | 4 | 161609 | 477 | 55.363 | 2919.1 |
666 | 2025-01-26 18:24:38 | analysis | 4 | 161609 | 477 | 11.783 | 13715.4 |
665 | 2025-01-26 18:24:40 | analysis | 2 | 121059 | 19 | 3.736 | 32403.4 |
664 | 2025-01-26 18:24:24 | analysis | 3 | 146162 | 73 | 7.063 | 20694.0 |
663 | 2025-01-26 15:57:47 | analysis | 3 | 146162 | 73 | 35.083 | 4166.2 |
662 | 2025-01-24 21:36:03 | analysis | 1 | 82945 | 3 | 4.110 | 20181.3 |
661 | 2025-01-22 02:13:00 | analysis | 3 | 146162 | 73 | 38.363 | 3810.0 |
660 | 2025-01-21 23:00:55 | analysis | 3 | 146162 | 73 | 34.140 | 4281.3 |
659 | 2025-01-20 15:10:42 | analysis | 3 | 146162 | 73 | 34.140 | 4281.3 |
658 | 2025-01-20 15:09:44 | analysis | 1 | 82945 | 3 | 6.876 | 12063.0 |
657 | 2025-01-05 22:28:36 | analysis | 2 | 121059 | 19 | 3.546 | 34139.6 |
656 | 2025-01-05 22:28:35 | analysis | 1 | 82945 | 3 | 1.436 | 57761.1 |
655 | 2024-12-29 23:59:48 | analysis | 4 | 161609 | 477 | 70.037 | 2307.5 |
654 | 2024-12-27 16:10:55 | analysis | 4 | 161609 | 477 | 61.176 | 2641.7 |
653 | 2024-12-27 13:14:22 | analysis | 4 | 161609 | 477 | 76.270 | 2118.9 |
652 | 2024-12-27 12:25:05 | analysis | 2 | 121059 | 19 | 3.846 | 31476.6 |
651 | 2024-12-26 09:27:39 | analysis | 2 | 121059 | 19 | 26.593 | 4552.3 |
650 | 2024-12-26 09:27:40 | analysis | 3 | 146162 | 73 | 23.096 | 6328.5 |
649 | 2024-12-25 20:04:35 | analysis | 3 | 146162 | 73 | 27.970 | 5225.7 |
648 | 2024-12-25 20:04:39 | analysis | 2 | 121059 | 19 | 16.486 | 7343.1 |
647 | 2024-12-22 17:53:38 | analysis | 3 | 146162 | 73 | 35.046 | 4170.6 |
646 | 2024-12-20 13:01:09 | analysis | 3 | 146162 | 73 | 19.080 | 7660.5 |
645 | 2024-12-19 23:34:54 | analysis | 3 | 146162 | 73 | 18.233 | 8016.3 |
644 | 2024-12-19 23:34:48 | analysis | 1 | 82945 | 3 | 2.860 | 29001.7 |
643 | 2024-12-16 13:57:21 | analysis | 1 | 82945 | 3 | 10.563 | 7852.4 |
642 | 2024-12-15 00:52:10 | analysis | 1 | 82945 | 3 | 4.623 | 17941.8 |
641 | 2024-11-26 17:54:45 | analysis | 2 | 121059 | 19 | 17.753 | 6819.1 |
640 | 2024-11-26 07:52:01 | analysis | 2 | 121059 | 19 | 6.080 | 19911.0 |
639 | 2024-11-25 00:07:46 | analysis | 3 | 146162 | 73 | 39.910 | 3662.3 |