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 |
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 |
557 | 2024-11-28 15:33:26 | nanometers | 3 | 140603 | 61 | 32.516 | 4324.1 |
556 | 2024-11-28 15:33:26 | nanometers | 2 | 108824 | 11 | 15.126 | 7194.5 |
555 | 2024-11-28 15:32:27 | nanometers | 1 | 67641 | 4 | 8.000 | 8455.1 |
554 | 2024-11-21 21:09:33 | nanometers | 1 | 67641 | 4 | 5.173 | 13075.8 |
553 | 2024-11-05 10:32:11 | nanometers | 3 | 140603 | 61 | 49.736 | 2827.0 |
552 | 2024-11-05 10:32:11 | nanometers | 2 | 108824 | 11 | 15.906 | 6841.7 |
551 | 2024-11-04 05:27:28 | nanometers | 1 | 67641 | 4 | 2.890 | 23405.2 |
550 | 2024-10-26 19:28:17 | nanometers | 3 | 140603 | 61 | 30.830 | 4560.6 |
549 | 2024-10-26 17:57:00 | nanometers | 3 | 140603 | 61 | 43.360 | 3242.7 |
548 | 2024-10-26 17:57:00 | nanometers | 2 | 108824 | 11 | 16.113 | 6753.8 |
547 | 2024-10-26 17:55:59 | nanometers | 3 | 140603 | 61 | 30.300 | 4640.4 |
546 | 2024-10-26 17:54:18 | nanometers | 1 | 67641 | 4 | 4.860 | 13917.9 |
545 | 2024-10-25 14:24:02 | nanometers | 3 | 140603 | 61 | 30.593 | 4595.9 |
544 | 2024-10-23 22:50:36 | nanometers | 1 | 67641 | 4 | 3.250 | 20812.6 |
543 | 2024-10-23 22:43:23 | nanometers | 1 | 67641 | 4 | 3.140 | 21541.7 |
542 | 2024-10-23 22:35:29 | nanometers | 1 | 67641 | 4 | 3.030 | 22323.8 |
541 | 2024-10-23 22:32:12 | nanometers | 3 | 140603 | 61 | 19.923 | 7057.3 |
540 | 2024-10-23 22:29:37 | nanometers | 1 | 67641 | 4 | 5.643 | 11986.7 |
539 | 2024-10-22 17:45:18 | nanometers | 1 | 67641 | 4 | 5.606 | 12065.8 |
538 | 2024-10-11 21:39:43 | nanometers | 2 | 108824 | 11 | 21.263 | 5118.0 |
537 | 2024-10-11 21:39:26 | nanometers | 3 | 140603 | 61 | 35.500 | 3960.6 |
536 | 2024-10-11 21:31:27 | nanometers | 1 | 67641 | 4 | 1.170 | 57812.8 |
535 | 2024-10-07 14:33:02 | nanometers | 3 | 140603 | 61 | 43.280 | 3248.7 |
534 | 2024-10-07 14:33:13 | nanometers | 2 | 108824 | 11 | 20.580 | 5287.9 |
533 | 2024-09-26 02:59:14 | nanometers | 3 | 140603 | 61 | 73.440 | 1914.5 |
532 | 2024-09-23 08:40:32 | nanometers | 3 | 140603 | 61 | 89.223 | 1575.9 |
531 | 2024-09-21 07:54:49 | nanometers | 2 | 108824 | 11 | 20.113 | 5410.6 |
530 | 2024-09-20 21:18:17 | nanometers | 3 | 140603 | 61 | 45.593 | 3083.9 |
529 | 2024-09-19 21:47:11 | nanometers | 3 | 140603 | 61 | 59.846 | 2349.4 |
528 | 2024-09-19 21:47:09 | nanometers | 3 | 140603 | 61 | 47.283 | 2973.6 |
527 | 2024-09-19 21:47:18 | nanometers | 2 | 108824 | 11 | 14.656 | 7425.2 |
526 | 2024-09-19 21:43:44 | nanometers | 1 | 67641 | 4 | 14.876 | 4547.0 |
525 | 2024-09-18 08:33:59 | nanometers | 1 | 67641 | 4 | 9.830 | 6881.1 |
524 | 2024-09-15 23:31:46 | nanometers | 1 | 67641 | 4 | 8.220 | 8228.8 |
523 | 2024-09-09 16:05:50 | nanometers | 1 | 67641 | 4 | 1.263 | 53555.8 |
522 | 2024-09-09 03:41:45 | nanometers | 1 | 67641 | 4 | 8.180 | 8269.1 |
521 | 2024-08-22 13:27:01 | nanometers | 2 | 108824 | 11 | 22.096 | 4925.1 |
520 | 2024-08-21 01:05:48 | nanometers | 3 | 140603 | 61 | 59.283 | 2371.7 |
519 | 2024-08-20 02:59:35 | nanometers | 3 | 140603 | 61 | 78.230 | 1797.3 |
518 | 2024-08-20 02:34:50 | nanometers | 3 | 140603 | 61 | 41.546 | 3384.3 |