History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"gauss"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
634 | 2025-08-03 02:09:35 | gauss | 2 | 53800 | 130 | 7.626 | 7054.8 |
633 | 2025-08-01 00:31:54 | gauss | 1 | 28756 | 4 | 2.250 | 12780.4 |
632 | 2025-07-31 10:19:27 | gauss | 1 | 28756 | 4 | 0.533 | 53951.2 |
631 | 2025-07-30 20:06:31 | gauss | 1 | 28756 | 4 | 0.533 | 53951.2 |
630 | 2025-07-28 01:42:18 | gauss | 2 | 53800 | 130 | 3.826 | 14061.7 |
629 | 2025-07-18 11:40:31 | gauss | 1 | 28756 | 4 | 3.763 | 7641.8 |
628 | 2025-07-18 01:42:47 | gauss | 1 | 28756 | 4 | 0.953 | 30174.2 |
627 | 2025-07-17 22:03:09 | gauss | 1 | 28756 | 4 | 1.250 | 23004.8 |
626 | 2025-07-17 12:25:10 | gauss | 1 | 28756 | 4 | 1.563 | 18398.0 |
625 | 2025-07-12 19:39:35 | gauss | 1 | 28756 | 4 | 0.846 | 33990.5 |
624 | 2025-07-11 21:45:55 | gauss | 1 | 28756 | 4 | 0.530 | 54256.6 |
623 | 2025-07-11 01:53:04 | gauss | 1 | 28756 | 4 | 2.546 | 11294.6 |
622 | 2025-07-10 21:28:31 | gauss | 2 | 53800 | 130 | 8.143 | 6606.9 |
621 | 2025-07-08 17:12:50 | gauss | 1 | 28756 | 4 | 0.500 | 57512.0 |
620 | 2025-07-07 08:20:21 | gauss | 2 | 53800 | 130 | 11.406 | 4716.8 |
619 | 2025-07-06 06:14:15 | gauss | 1 | 28756 | 4 | 0.516 | 55728.7 |
618 | 2025-07-04 12:22:24 | gauss | 1 | 28756 | 4 | 2.126 | 13525.9 |
617 | 2025-06-27 01:34:31 | gauss | 1 | 28756 | 4 | 1.376 | 20898.3 |
616 | 2025-06-17 21:01:29 | gauss | 1 | 28756 | 4 | 1.453 | 19790.8 |
615 | 2025-06-15 06:19:57 | gauss | 2 | 53800 | 130 | 4.110 | 13090.0 |
614 | 2025-06-12 23:31:03 | gauss | 1 | 28756 | 4 | 1.186 | 24246.2 |
613 | 2025-06-11 15:53:51 | gauss | 2 | 53800 | 130 | 3.466 | 15522.2 |
612 | 2025-06-10 03:13:28 | gauss | 1 | 28756 | 4 | 0.966 | 29768.1 |
611 | 2025-06-09 19:55:59 | gauss | 1 | 28756 | 4 | 1.233 | 23322.0 |
610 | 2025-06-08 17:15:25 | gauss | 1 | 28756 | 4 | 2.750 | 10456.7 |
609 | 2025-05-31 00:50:59 | gauss | 2 | 53800 | 130 | 8.563 | 6282.8 |
608 | 2025-05-29 10:00:09 | gauss | 1 | 28756 | 4 | 3.360 | 8558.3 |
607 | 2025-05-29 00:45:15 | gauss | 1 | 28756 | 4 | 1.970 | 14597.0 |
606 | 2025-05-24 17:55:53 | gauss | 2 | 53800 | 130 | 5.626 | 9562.7 |
605 | 2025-05-22 06:49:19 | gauss | 1 | 28756 | 4 | 3.750 | 7668.3 |
604 | 2025-05-17 00:17:05 | gauss | 1 | 28756 | 4 | 1.406 | 20452.3 |
603 | 2025-05-15 20:43:50 | gauss | 1 | 28756 | 4 | 1.266 | 22714.1 |
602 | 2025-05-11 15:30:49 | gauss | 2 | 53800 | 130 | 1.780 | 30224.7 |
601 | 2025-05-09 19:26:31 | gauss | 1 | 28756 | 4 | 1.766 | 16283.1 |
600 | 2025-05-08 17:04:18 | gauss | 1 | 28756 | 4 | 3.313 | 8679.7 |
599 | 2025-05-08 12:50:04 | gauss | 1 | 28756 | 4 | 1.593 | 18051.5 |
598 | 2025-05-04 05:43:09 | gauss | 1 | 28756 | 4 | 1.173 | 24514.9 |
597 | 2025-05-01 02:53:11 | gauss | 1 | 28756 | 4 | 2.406 | 11951.8 |
596 | 2025-04-29 22:50:44 | gauss | 1 | 28756 | 4 | 2.923 | 9837.8 |
595 | 2025-04-27 12:12:42 | gauss | 1 | 28756 | 4 | 0.436 | 65954.1 |
594 | 2025-04-27 12:04:02 | gauss | 1 | 28756 | 4 | 0.956 | 30079.5 |
593 | 2025-04-27 12:03:09 | gauss | 1 | 28756 | 4 | 0.500 | 57512.0 |
592 | 2025-04-27 11:59:03 | gauss | 1 | 28756 | 4 | 0.983 | 29253.3 |
591 | 2025-04-27 07:20:29 | gauss | 2 | 53800 | 130 | 10.376 | 5185.0 |
590 | 2025-04-25 17:47:50 | gauss | 2 | 53800 | 130 | 3.093 | 17394.1 |
589 | 2025-04-25 13:34:58 | gauss | 2 | 53800 | 130 | 2.656 | 20256.0 |
588 | 2025-04-22 14:03:26 | gauss | 1 | 28756 | 4 | 2.390 | 12031.8 |
587 | 2025-04-20 16:20:25 | gauss | 1 | 28756 | 4 | 0.500 | 57512.0 |
586 | 2025-04-19 03:12:11 | gauss | 1 | 28756 | 4 | 0.483 | 59536.2 |
585 | 2025-04-18 09:34:29 | gauss | 1 | 28756 | 4 | 2.313 | 12432.3 |
584 | 2025-04-16 15:53:59 | gauss | 2 | 53800 | 130 | 12.263 | 4387.2 |
583 | 2025-04-14 20:17:48 | gauss | 1 | 28756 | 4 | 0.513 | 56054.6 |
582 | 2025-04-08 19:34:14 | gauss | 1 | 28756 | 4 | 2.343 | 12273.2 |
581 | 2025-04-08 16:27:53 | gauss | 1 | 28756 | 4 | 1.046 | 27491.4 |
580 | 2025-04-08 12:10:21 | gauss | 1 | 28756 | 4 | 2.093 | 13739.1 |
579 | 2025-03-28 23:00:56 | gauss | 1 | 28756 | 4 | 2.703 | 10638.5 |
578 | 2025-03-15 08:28:37 | gauss | 2 | 53800 | 130 | 5.610 | 9590.0 |
577 | 2025-03-15 08:01:35 | gauss | 1 | 28756 | 4 | 2.076 | 13851.6 |
576 | 2025-03-08 09:33:06 | gauss | 1 | 28756 | 4 | 0.906 | 31739.5 |
575 | 2025-03-08 09:32:27 | gauss | 2 | 53800 | 130 | 3.970 | 13551.6 |
574 | 2025-03-08 05:57:25 | gauss | 2 | 53800 | 130 | 7.716 | 6972.5 |
573 | 2025-03-08 05:57:14 | gauss | 1 | 28756 | 4 | 1.983 | 14501.3 |
572 | 2025-03-07 22:32:36 | gauss | 1 | 28756 | 4 | 0.516 | 55728.7 |
571 | 2025-03-03 03:43:29 | gauss | 1 | 28756 | 4 | 1.576 | 18246.2 |
570 | 2025-02-26 09:46:30 | gauss | 2 | 53800 | 130 | 7.563 | 7113.6 |
569 | 2025-02-26 08:02:05 | gauss | 2 | 53800 | 130 | 5.593 | 9619.2 |
568 | 2025-02-26 07:52:18 | gauss | 1 | 28756 | 4 | 0.470 | 61183.0 |
567 | 2025-02-25 15:56:25 | gauss | 1 | 28756 | 4 | 0.470 | 61183.0 |
566 | 2025-02-16 22:11:31 | gauss | 1 | 28756 | 4 | 2.110 | 13628.4 |
565 | 2025-02-04 06:37:39 | gauss | 1 | 28756 | 4 | 0.950 | 30269.5 |
564 | 2025-01-27 14:32:24 | gauss | 2 | 53800 | 130 | 6.596 | 8156.5 |
563 | 2025-01-27 14:09:13 | gauss | 2 | 53800 | 130 | 9.233 | 5826.9 |
562 | 2025-01-27 01:49:39 | gauss | 1 | 28756 | 4 | 3.406 | 8442.7 |
561 | 2025-01-26 13:34:41 | gauss | 2 | 53800 | 130 | 9.763 | 5510.6 |
560 | 2025-01-26 12:20:47 | gauss | 2 | 53800 | 130 | 8.173 | 6582.7 |
559 | 2025-01-26 11:49:46 | gauss | 1 | 28756 | 4 | 0.500 | 57512.0 |
558 | 2025-01-06 12:02:11 | gauss | 1 | 28756 | 4 | 1.436 | 20025.1 |
557 | 2025-01-05 06:08:53 | gauss | 1 | 28756 | 4 | 0.500 | 57512.0 |
556 | 2024-12-27 21:55:04 | gauss | 1 | 28756 | 4 | 1.173 | 24514.9 |
555 | 2024-12-27 21:19:08 | gauss | 2 | 53800 | 130 | 4.280 | 12570.1 |
554 | 2024-12-27 12:22:07 | gauss | 2 | 53800 | 130 | 5.796 | 9282.3 |
553 | 2024-12-27 10:02:54 | gauss | 2 | 53800 | 130 | 6.423 | 8376.1 |
552 | 2024-12-27 09:15:28 | gauss | 1 | 28756 | 4 | 0.500 | 57512.0 |
551 | 2024-12-06 05:56:32 | gauss | 1 | 28756 | 4 | 0.453 | 63479.0 |
550 | 2024-11-27 11:43:05 | gauss | 2 | 53800 | 130 | 7.890 | 6818.8 |
549 | 2024-11-27 10:36:08 | gauss | 2 | 53800 | 130 | 10.953 | 4911.9 |
548 | 2024-11-27 08:46:26 | gauss | 1 | 28756 | 4 | 2.563 | 11219.7 |
547 | 2024-11-20 22:21:08 | gauss | 1 | 28756 | 4 | 1.483 | 19390.4 |
546 | 2024-11-07 05:40:53 | gauss | 1 | 28756 | 4 | 3.186 | 9025.7 |
545 | 2024-11-06 05:43:50 | gauss | 1 | 28756 | 4 | 0.500 | 57512.0 |
544 | 2024-10-28 18:50:29 | gauss | 2 | 53800 | 130 | 12.950 | 4154.4 |
543 | 2024-10-28 09:02:43 | gauss | 2 | 53800 | 130 | 6.330 | 8499.2 |
542 | 2024-10-28 07:45:28 | gauss | 2 | 53800 | 130 | 8.093 | 6647.7 |
541 | 2024-10-28 07:37:18 | gauss | 1 | 28756 | 4 | 0.436 | 65954.1 |
540 | 2024-10-17 06:27:30 | gauss | 1 | 28756 | 4 | 2.360 | 12184.7 |
539 | 2024-10-06 17:20:57 | gauss | 1 | 28756 | 4 | 3.736 | 7697.0 |
538 | 2024-09-29 05:43:04 | gauss | 1 | 28756 | 4 | 6.000 | 4792.7 |
537 | 2024-09-28 06:12:59 | gauss | 2 | 53800 | 130 | 11.940 | 4505.9 |
536 | 2024-09-28 05:35:12 | gauss | 1 | 28756 | 4 | 1.796 | 16011.1 |
535 | 2024-09-07 12:20:34 | gauss | 1 | 28756 | 4 | 4.703 | 6114.4 |