History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nanometers"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
657 | 2025-07-14 09:54:49 | nanometers | 1 | 67641 | 4 | 5.466 | 12374.9 |
656 | 2025-07-07 13:12:10 | nanometers | 1 | 67641 | 4 | 3.516 | 19238.1 |
655 | 2025-07-06 05:40:10 | nanometers | 1 | 67641 | 4 | 2.033 | 33271.5 |
654 | 2025-07-03 06:57:44 | nanometers | 4 | 161450 | 260 | 48.206 | 3349.2 |
653 | 2025-07-03 02:37:37 | nanometers | 4 | 161450 | 260 | 34.220 | 4718.0 |
652 | 2025-07-01 18:44:03 | nanometers | 1 | 67641 | 4 | 1.110 | 60937.8 |
651 | 2025-07-01 08:16:57 | nanometers | 4 | 161450 | 260 | 37.376 | 4319.6 |
650 | 2025-06-28 06:56:18 | nanometers | 2 | 108824 | 11 | 15.923 | 6834.4 |
649 | 2025-06-27 20:16:44 | nanometers | 4 | 161450 | 260 | 11.580 | 13942.1 |
648 | 2025-06-27 08:36:00 | nanometers | 3 | 140603 | 61 | 27.676 | 5080.3 |
647 | 2025-06-26 15:53:46 | nanometers | 1 | 67641 | 4 | 3.076 | 21989.9 |
646 | 2025-06-26 13:35:05 | nanometers | 1 | 67641 | 4 | 6.000 | 11273.5 |
645 | 2025-06-21 21:12:18 | nanometers | 1 | 67641 | 4 | 4.860 | 13917.9 |
644 | 2025-06-18 13:56:56 | nanometers | 3 | 140603 | 61 | 18.110 | 7763.8 |
643 | 2025-06-17 11:36:45 | nanometers | 1 | 67641 | 4 | 1.140 | 59334.2 |
642 | 2025-06-16 22:25:17 | nanometers | 1 | 67641 | 4 | 7.266 | 9309.2 |
641 | 2025-06-16 18:40:12 | nanometers | 1 | 67641 | 4 | 6.093 | 11101.4 |
640 | 2025-06-16 08:19:31 | nanometers | 3 | 140603 | 61 | 30.910 | 4548.8 |
639 | 2025-06-16 06:32:22 | nanometers | 2 | 108824 | 11 | 12.626 | 8619.0 |
638 | 2025-06-15 22:42:07 | nanometers | 1 | 67641 | 4 | 5.236 | 12918.4 |
637 | 2025-06-14 19:01:56 | nanometers | 3 | 140603 | 61 | 36.970 | 3803.2 |
636 | 2025-06-14 17:26:36 | nanometers | 2 | 108824 | 11 | 10.733 | 10139.2 |
635 | 2025-06-14 16:41:43 | nanometers | 3 | 140603 | 61 | 45.410 | 3096.3 |
634 | 2025-06-12 22:41:56 | nanometers | 1 | 67641 | 4 | 2.890 | 23405.2 |
633 | 2025-06-04 13:25:02 | nanometers | 1 | 67641 | 4 | 5.106 | 13247.4 |
632 | 2025-05-26 23:09:43 | nanometers | 2 | 108824 | 11 | 9.500 | 11455.2 |
631 | 2025-05-26 22:22:52 | nanometers | 3 | 140603 | 61 | 30.506 | 4609.0 |
630 | 2025-05-25 23:27:47 | nanometers | 1 | 67641 | 4 | 4.653 | 14537.1 |
629 | 2025-05-18 20:32:40 | nanometers | 1 | 67641 | 4 | 1.186 | 57032.9 |
628 | 2025-05-18 03:30:29 | nanometers | 4 | 161450 | 260 | 43.283 | 3730.1 |
627 | 2025-05-18 00:26:21 | nanometers | 1 | 67641 | 4 | 8.326 | 8124.1 |
626 | 2025-05-17 07:06:44 | nanometers | 4 | 161450 | 260 | 22.626 | 7135.6 |
625 | 2025-05-15 21:59:18 | nanometers | 1 | 67641 | 4 | 2.906 | 23276.3 |
624 | 2025-05-12 11:02:04 | nanometers | 4 | 161450 | 260 | 45.906 | 3517.0 |
623 | 2025-05-11 19:49:48 | nanometers | 4 | 161450 | 260 | 45.486 | 3549.4 |
622 | 2025-05-11 01:22:36 | nanometers | 1 | 67641 | 4 | 7.796 | 8676.4 |
621 | 2025-05-10 08:51:25 | nanometers | 4 | 161450 | 260 | 71.500 | 2258.0 |
620 | 2025-05-07 22:10:45 | nanometers | 1 | 67641 | 4 | 8.530 | 7929.8 |
619 | 2025-05-05 23:12:58 | nanometers | 1 | 67641 | 4 | 5.703 | 11860.6 |
618 | 2025-04-26 14:54:52 | nanometers | 1 | 67641 | 4 | 2.923 | 23141.0 |
617 | 2025-04-22 17:40:51 | nanometers | 1 | 67641 | 4 | 1.156 | 58513.0 |
616 | 2025-04-13 22:06:58 | nanometers | 1 | 67641 | 4 | 7.593 | 8908.3 |
615 | 2025-04-08 07:24:43 | nanometers | 3 | 140603 | 61 | 28.203 | 4985.4 |
614 | 2025-04-08 05:56:00 | nanometers | 2 | 108824 | 11 | 13.560 | 8025.4 |
613 | 2025-04-07 10:55:47 | nanometers | 4 | 161450 | 260 | 77.720 | 2077.3 |
612 | 2025-04-07 09:03:53 | nanometers | 4 | 161450 | 260 | 56.096 | 2878.1 |
611 | 2025-04-06 19:03:26 | nanometers | 4 | 161450 | 260 | 59.906 | 2695.1 |
610 | 2025-04-04 06:30:58 | nanometers | 2 | 108824 | 11 | 7.796 | 13959.0 |
609 | 2025-04-03 23:03:54 | nanometers | 1 | 67641 | 4 | 7.263 | 9313.1 |
608 | 2025-04-03 19:29:10 | nanometers | 4 | 161450 | 260 | 45.066 | 3582.5 |
607 | 2025-04-02 21:43:50 | nanometers | 2 | 108824 | 11 | 3.123 | 34846.0 |
606 | 2025-04-02 07:33:48 | nanometers | 3 | 140603 | 61 | 22.610 | 6218.6 |
605 | 2025-03-30 17:51:18 | nanometers | 3 | 140603 | 61 | 27.610 | 5092.5 |
604 | 2025-03-29 18:08:14 | nanometers | 1 | 67641 | 4 | 5.530 | 12231.6 |
603 | 2025-03-29 11:41:03 | nanometers | 3 | 140603 | 61 | 31.330 | 4487.8 |
602 | 2025-03-29 08:17:25 | nanometers | 3 | 140603 | 61 | 25.330 | 5550.8 |
601 | 2025-03-28 00:23:20 | nanometers | 3 | 140603 | 61 | 19.313 | 7280.2 |
600 | 2025-03-23 16:20:50 | nanometers | 1 | 67641 | 4 | 4.156 | 16275.5 |
599 | 2025-03-17 04:36:45 | nanometers | 1 | 67641 | 4 | 7.033 | 9617.7 |
598 | 2025-03-13 17:26:43 | nanometers | 1 | 67641 | 4 | 8.236 | 8212.8 |
597 | 2025-03-13 14:54:03 | nanometers | 2 | 108824 | 11 | 7.546 | 14421.4 |
596 | 2025-03-04 20:49:26 | nanometers | 1 | 67641 | 4 | 4.733 | 14291.4 |
595 | 2025-02-26 13:18:39 | nanometers | 4 | 161450 | 260 | 51.630 | 3127.1 |
594 | 2025-02-26 13:16:24 | nanometers | 1 | 67641 | 4 | 5.296 | 12772.1 |
593 | 2025-02-18 21:58:12 | nanometers | 1 | 67641 | 4 | 2.720 | 24868.0 |
592 | 2025-02-18 00:55:59 | nanometers | 1 | 67641 | 4 | 4.203 | 16093.5 |
591 | 2025-02-17 02:17:22 | nanometers | 1 | 67641 | 4 | 2.936 | 23038.5 |
590 | 2025-02-16 13:14:59 | nanometers | 4 | 161450 | 260 | 70.566 | 2287.9 |
589 | 2025-02-16 09:30:14 | nanometers | 4 | 161450 | 260 | 57.956 | 2785.7 |
588 | 2025-02-15 12:05:57 | nanometers | 4 | 161450 | 260 | 33.986 | 4750.5 |
587 | 2025-02-15 08:01:43 | nanometers | 1 | 67641 | 4 | 5.656 | 11959.2 |
586 | 2025-02-08 10:21:04 | nanometers | 1 | 67641 | 4 | 2.466 | 27429.4 |
585 | 2025-02-03 22:35:51 | nanometers | 3 | 140603 | 61 | 9.953 | 14126.7 |
584 | 2025-02-03 11:31:17 | nanometers | 3 | 140603 | 61 | 39.133 | 3593.0 |
583 | 2025-02-02 23:41:35 | nanometers | 2 | 108824 | 11 | 15.453 | 7042.3 |
582 | 2025-02-02 19:49:42 | nanometers | 3 | 140603 | 61 | 51.436 | 2733.6 |
581 | 2025-02-02 14:43:18 | nanometers | 3 | 140603 | 61 | 31.313 | 4490.2 |
580 | 2025-02-02 14:43:10 | nanometers | 3 | 140603 | 61 | 33.283 | 4224.5 |
579 | 2025-02-02 14:43:15 | nanometers | 2 | 108824 | 11 | 12.236 | 8893.8 |
578 | 2025-02-02 14:40:47 | nanometers | 1 | 67641 | 4 | 8.580 | 7883.6 |
577 | 2025-01-09 01:05:11 | nanometers | 3 | 140603 | 61 | 38.266 | 3674.4 |
576 | 2025-01-06 04:21:26 | nanometers | 1 | 67641 | 4 | 5.390 | 12549.4 |
575 | 2025-01-05 01:42:02 | nanometers | 3 | 140603 | 61 | 36.143 | 3890.2 |
574 | 2024-12-30 15:29:56 | nanometers | 3 | 140603 | 61 | 50.033 | 2810.2 |
573 | 2024-12-30 15:29:52 | nanometers | 2 | 108824 | 11 | 14.673 | 7416.6 |
572 | 2024-12-30 04:42:13 | nanometers | 3 | 140603 | 61 | 26.803 | 5245.8 |
571 | 2024-12-30 04:42:16 | nanometers | 2 | 108824 | 11 | 15.173 | 7172.2 |
570 | 2024-12-30 04:41:13 | nanometers | 1 | 67641 | 4 | 2.873 | 23543.7 |
569 | 2024-12-29 23:09:13 | nanometers | 4 | 161450 | 260 | 50.266 | 3211.9 |
568 | 2024-12-26 15:10:59 | nanometers | 4 | 161450 | 260 | 14.970 | 10784.9 |
567 | 2024-12-23 22:37:47 | nanometers | 4 | 161450 | 260 | 54.910 | 2940.3 |
566 | 2024-12-23 22:21:36 | nanometers | 4 | 161450 | 260 | 69.456 | 2324.5 |
565 | 2024-12-23 18:42:51 | nanometers | 4 | 161450 | 260 | 53.770 | 3002.6 |
564 | 2024-12-23 18:41:29 | nanometers | 1 | 67641 | 4 | 4.313 | 15683.1 |
563 | 2024-11-30 12:44:37 | nanometers | 3 | 140603 | 61 | 23.410 | 6006.1 |
562 | 2024-11-29 18:10:38 | nanometers | 3 | 140603 | 61 | 27.156 | 5177.6 |
561 | 2024-11-29 18:07:44 | nanometers | 2 | 108824 | 11 | 13.453 | 8089.2 |
560 | 2024-11-29 08:16:59 | nanometers | 1 | 67641 | 4 | 6.533 | 10353.7 |
559 | 2024-11-29 05:42:04 | nanometers | 3 | 140603 | 61 | 29.706 | 4733.2 |
558 | 2024-11-29 05:41:46 | nanometers | 2 | 108824 | 11 | 18.593 | 5853.0 |