History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"knots"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
638 | 2025-07-05 05:20:08 | knots | 2 | 53800 | 124 | 6.563 | 8197.5 |
637 | 2025-07-02 18:13:09 | knots | 1 | 28756 | 8 | 2.500 | 11502.4 |
636 | 2025-06-30 20:09:32 | knots | 2 | 53800 | 124 | 3.893 | 13819.7 |
635 | 2025-06-29 10:13:05 | knots | 1 | 28756 | 8 | 2.406 | 11951.8 |
634 | 2025-06-25 10:43:39 | knots | 2 | 53800 | 124 | 1.310 | 41068.7 |
633 | 2025-06-19 01:24:32 | knots | 1 | 28756 | 8 | 0.436 | 65954.1 |
632 | 2025-06-18 20:30:29 | knots | 1 | 28756 | 8 | 1.283 | 22413.1 |
631 | 2025-06-18 00:11:38 | knots | 2 | 53800 | 124 | 4.000 | 13450.0 |
630 | 2025-06-15 12:10:48 | knots | 2 | 53800 | 124 | 8.406 | 6400.2 |
629 | 2025-06-13 21:00:32 | knots | 1 | 28756 | 8 | 3.420 | 8408.2 |
628 | 2025-06-07 14:55:02 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
627 | 2025-06-02 13:04:14 | knots | 1 | 28756 | 8 | 1.156 | 24875.4 |
626 | 2025-06-01 06:21:58 | knots | 1 | 28756 | 8 | 2.076 | 13851.6 |
625 | 2025-05-31 21:45:16 | knots | 1 | 28756 | 8 | 2.250 | 12780.4 |
624 | 2025-05-31 02:44:38 | knots | 1 | 28756 | 8 | 1.296 | 22188.3 |
623 | 2025-05-29 09:37:47 | knots | 1 | 28756 | 8 | 1.920 | 14977.1 |
622 | 2025-05-29 01:36:11 | knots | 1 | 28756 | 8 | 0.936 | 30722.2 |
621 | 2025-05-27 16:49:39 | knots | 1 | 28756 | 8 | 0.516 | 55728.7 |
620 | 2025-05-25 21:18:40 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
619 | 2025-05-24 12:39:48 | knots | 2 | 53800 | 124 | 3.703 | 14528.8 |
618 | 2025-05-18 15:25:44 | knots | 1 | 28756 | 8 | 1.330 | 21621.1 |
617 | 2025-05-17 00:03:55 | knots | 2 | 53800 | 124 | 6.936 | 7756.6 |
616 | 2025-05-11 17:54:45 | knots | 1 | 28756 | 8 | 0.440 | 65354.5 |
615 | 2025-05-09 18:07:14 | knots | 1 | 28756 | 8 | 0.486 | 59168.7 |
614 | 2025-05-07 14:58:14 | knots | 2 | 53800 | 124 | 1.500 | 35866.7 |
613 | 2025-05-06 23:05:06 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
612 | 2025-05-05 14:12:50 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
611 | 2025-05-02 16:15:26 | knots | 1 | 28756 | 8 | 2.516 | 11429.3 |
610 | 2025-05-02 00:33:48 | knots | 2 | 53800 | 124 | 6.390 | 8419.4 |
609 | 2025-05-01 05:27:50 | knots | 2 | 53800 | 124 | 10.720 | 5018.7 |
608 | 2025-04-29 10:57:32 | knots | 2 | 53800 | 124 | 2.033 | 26463.4 |
607 | 2025-04-28 19:26:13 | knots | 1 | 28756 | 8 | 0.486 | 59168.7 |
606 | 2025-04-16 17:18:41 | knots | 1 | 28756 | 8 | 0.830 | 34645.8 |
605 | 2025-04-08 05:19:01 | knots | 2 | 53800 | 124 | 1.796 | 29955.5 |
604 | 2025-04-02 19:59:31 | knots | 2 | 53800 | 124 | 8.126 | 6620.7 |
603 | 2025-04-01 02:04:10 | knots | 1 | 28756 | 8 | 1.343 | 21411.8 |
602 | 2025-03-30 15:29:12 | knots | 2 | 53800 | 124 | 1.763 | 30516.2 |
601 | 2025-03-26 11:35:13 | knots | 1 | 28756 | 8 | 0.530 | 54256.6 |
600 | 2025-03-16 20:03:04 | knots | 1 | 28756 | 8 | 0.923 | 31154.9 |
599 | 2025-03-11 00:13:38 | knots | 2 | 53800 | 124 | 11.423 | 4709.8 |
598 | 2025-03-10 11:18:28 | knots | 2 | 53800 | 124 | 3.843 | 13999.5 |
597 | 2025-03-09 12:54:01 | knots | 2 | 53800 | 124 | 6.800 | 7911.8 |
596 | 2025-03-08 07:07:29 | knots | 1 | 28756 | 8 | 3.233 | 8894.5 |
595 | 2025-03-06 23:30:33 | knots | 2 | 53800 | 124 | 6.470 | 8315.3 |
594 | 2025-03-06 18:53:47 | knots | 2 | 53800 | 124 | 11.403 | 4718.1 |
593 | 2025-03-06 17:41:30 | knots | 1 | 28756 | 8 | 1.000 | 28756.0 |
592 | 2025-03-05 11:30:53 | knots | 2 | 53800 | 124 | 7.406 | 7264.4 |
591 | 2025-02-27 20:18:31 | knots | 2 | 53800 | 124 | 7.626 | 7054.8 |
590 | 2025-02-27 20:17:56 | knots | 1 | 28756 | 8 | 0.970 | 29645.4 |
589 | 2025-02-23 02:18:34 | knots | 1 | 28756 | 8 | 2.546 | 11294.6 |
588 | 2025-02-18 07:37:28 | knots | 2 | 53800 | 124 | 4.796 | 11217.7 |
587 | 2025-02-17 18:30:44 | knots | 1 | 28756 | 8 | 2.733 | 10521.8 |
586 | 2025-02-07 19:42:58 | knots | 1 | 28756 | 8 | 2.330 | 12341.6 |
585 | 2025-02-05 11:00:35 | knots | 1 | 28756 | 8 | 0.470 | 61183.0 |
584 | 2025-02-04 05:27:12 | knots | 2 | 53800 | 124 | 8.016 | 6711.6 |
583 | 2025-02-04 00:28:56 | knots | 2 | 53800 | 124 | 6.373 | 8441.9 |
582 | 2025-02-04 00:28:54 | knots | 1 | 28756 | 8 | 1.076 | 26724.9 |
581 | 2025-01-28 11:10:28 | knots | 2 | 53800 | 124 | 5.360 | 10037.3 |
580 | 2025-01-28 10:10:43 | knots | 1 | 28756 | 8 | 0.420 | 68466.7 |
579 | 2025-01-24 17:06:05 | knots | 2 | 53800 | 124 | 10.656 | 5048.8 |
578 | 2025-01-23 19:19:35 | knots | 1 | 28756 | 8 | 2.360 | 12184.7 |
577 | 2025-01-17 21:47:12 | knots | 1 | 28756 | 8 | 2.890 | 9950.2 |
576 | 2025-01-04 22:18:30 | knots | 2 | 53800 | 124 | 7.563 | 7113.6 |
575 | 2025-01-03 22:53:34 | knots | 2 | 53800 | 124 | 4.750 | 11326.3 |
574 | 2025-01-03 21:24:30 | knots | 1 | 28756 | 8 | 0.453 | 63479.0 |
573 | 2024-12-29 09:15:06 | knots | 2 | 53800 | 124 | 6.250 | 8608.0 |
572 | 2024-12-29 08:10:16 | knots | 1 | 28756 | 8 | 0.450 | 63902.2 |
571 | 2024-12-14 15:55:23 | knots | 1 | 28756 | 8 | 3.233 | 8894.5 |
570 | 2024-12-04 19:07:51 | knots | 1 | 28756 | 8 | 0.470 | 61183.0 |
569 | 2024-11-29 06:40:21 | knots | 1 | 28756 | 8 | 0.420 | 68466.7 |
568 | 2024-11-09 07:42:12 | knots | 1 | 28756 | 8 | 0.953 | 30174.2 |
567 | 2024-11-01 05:16:25 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
566 | 2024-10-30 03:10:52 | knots | 2 | 53800 | 124 | 3.690 | 14579.9 |
565 | 2024-10-30 02:32:03 | knots | 1 | 28756 | 8 | 0.516 | 55728.7 |
564 | 2024-10-15 06:41:17 | knots | 2 | 53800 | 124 | 7.686 | 6999.7 |
563 | 2024-10-15 06:40:34 | knots | 1 | 28756 | 8 | 1.080 | 26625.9 |
562 | 2024-10-10 05:12:59 | knots | 2 | 53800 | 124 | 7.440 | 7231.2 |
561 | 2024-10-10 05:11:56 | knots | 1 | 28756 | 8 | 1.046 | 27491.4 |
560 | 2024-10-01 14:22:18 | knots | 1 | 28756 | 8 | 1.860 | 15460.2 |
559 | 2024-09-29 22:46:57 | knots | 2 | 53800 | 124 | 14.500 | 3710.3 |
558 | 2024-09-29 22:19:24 | knots | 2 | 53800 | 124 | 8.860 | 6072.2 |
557 | 2024-09-29 22:18:18 | knots | 1 | 28756 | 8 | 3.533 | 8139.3 |
556 | 2024-09-14 15:20:00 | knots | 1 | 28756 | 8 | 3.486 | 8249.0 |
555 | 2024-09-08 08:55:56 | knots | 1 | 28756 | 8 | 1.860 | 15460.2 |
554 | 2024-09-08 07:21:21 | knots | 1 | 28756 | 8 | 4.236 | 6788.5 |
553 | 2024-08-30 21:46:24 | knots | 2 | 53800 | 124 | 17.393 | 3093.2 |
552 | 2024-08-30 21:30:58 | knots | 2 | 53800 | 124 | 12.250 | 4391.8 |
551 | 2024-08-30 21:25:12 | knots | 1 | 28756 | 8 | 0.466 | 61708.2 |
550 | 2024-08-30 21:24:38 | knots | 1 | 28756 | 8 | 0.703 | 40904.7 |
549 | 2024-08-30 00:08:55 | knots | 1 | 28756 | 8 | 3.626 | 7930.5 |
548 | 2024-08-27 22:48:15 | knots | 1 | 28756 | 8 | 2.686 | 10705.9 |
547 | 2024-08-27 17:53:23 | knots | 2 | 53800 | 124 | 13.860 | 3881.7 |
546 | 2024-08-22 11:42:50 | knots | 2 | 53800 | 124 | 11.110 | 4842.5 |
545 | 2024-08-15 02:35:03 | knots | 1 | 28756 | 8 | 4.296 | 6693.7 |
544 | 2024-08-09 06:33:59 | knots | 2 | 53800 | 124 | 5.470 | 9835.5 |
543 | 2024-08-09 06:32:08 | knots | 1 | 28756 | 8 | 0.953 | 30174.2 |
542 | 2024-08-08 07:42:03 | knots | 1 | 28756 | 8 | 2.830 | 10161.1 |
541 | 2024-07-30 08:44:06 | knots | 2 | 53800 | 124 | 7.063 | 7617.2 |
540 | 2024-07-30 08:01:01 | knots | 1 | 28756 | 8 | 0.466 | 61708.2 |
539 | 2024-07-30 07:35:08 | knots | 1 | 28756 | 8 | 0.470 | 61183.0 |