History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"weasons"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
623 | 2025-08-25 13:51:51 | weasons | 2 | 107671 | 26 | 11.906 | 9043.4 |
622 | 2025-08-25 11:23:11 | weasons | 1 | 69583 | 6 | 5.956 | 11682.8 |
621 | 2025-08-21 12:37:35 | weasons | 1 | 69583 | 6 | 4.220 | 16488.9 |
620 | 2025-08-13 23:47:58 | weasons | 1 | 69583 | 6 | 1.280 | 54361.7 |
619 | 2025-08-12 21:00:21 | weasons | 3 | 134027 | 307 | 14.093 | 9510.2 |
618 | 2025-08-10 08:08:28 | weasons | 3 | 134027 | 307 | 25.016 | 5357.7 |
617 | 2025-08-09 06:27:13 | weasons | 3 | 134027 | 307 | 46.363 | 2890.8 |
616 | 2025-08-06 15:08:28 | weasons | 2 | 107671 | 26 | 14.296 | 7531.5 |
615 | 2025-08-06 14:06:52 | weasons | 3 | 134027 | 307 | 52.740 | 2541.3 |
614 | 2025-08-04 13:21:09 | weasons | 1 | 69583 | 6 | 5.720 | 12164.9 |
613 | 2025-07-31 06:30:20 | weasons | 1 | 69583 | 6 | 1.186 | 58670.3 |
612 | 2025-07-26 16:05:43 | weasons | 1 | 69583 | 6 | 4.890 | 14229.7 |
611 | 2025-07-24 08:18:56 | weasons | 1 | 69583 | 6 | 5.080 | 13697.4 |
610 | 2025-07-23 05:38:31 | weasons | 1 | 69583 | 6 | 3.140 | 22160.2 |
609 | 2025-07-19 01:05:56 | weasons | 1 | 69583 | 6 | 1.063 | 65459.1 |
608 | 2025-07-17 21:00:57 | weasons | 1 | 69583 | 6 | 5.470 | 12720.8 |
607 | 2025-07-10 16:42:43 | weasons | 1 | 69583 | 6 | 6.750 | 10308.6 |
606 | 2025-07-08 05:54:39 | weasons | 1 | 69583 | 6 | 3.266 | 21305.3 |
605 | 2025-07-05 12:24:25 | weasons | 1 | 69583 | 6 | 2.796 | 24886.6 |
604 | 2025-07-04 10:26:41 | weasons | 2 | 107671 | 26 | 3.436 | 31336.1 |
603 | 2025-07-03 01:53:27 | weasons | 3 | 134027 | 307 | 29.190 | 4591.5 |
602 | 2025-07-02 07:55:13 | weasons | 3 | 134027 | 307 | 30.610 | 4378.5 |
601 | 2025-07-02 06:25:44 | weasons | 3 | 134027 | 307 | 35.110 | 3817.3 |
600 | 2025-07-01 21:24:28 | weasons | 3 | 134027 | 307 | 17.893 | 7490.5 |
599 | 2025-06-30 17:34:55 | weasons | 3 | 134027 | 307 | 47.956 | 2794.8 |
598 | 2025-06-20 16:35:42 | weasons | 1 | 69583 | 6 | 6.046 | 11508.9 |
597 | 2025-06-10 11:45:53 | weasons | 1 | 69583 | 6 | 6.436 | 10811.5 |
596 | 2025-06-10 07:19:33 | weasons | 1 | 69583 | 6 | 4.500 | 15462.9 |
595 | 2025-06-08 05:34:59 | weasons | 1 | 69583 | 6 | 8.593 | 8097.6 |
594 | 2025-06-07 17:07:14 | weasons | 1 | 69583 | 6 | 1.360 | 51164.0 |
593 | 2025-06-05 20:41:28 | weasons | 1 | 69583 | 6 | 1.170 | 59472.6 |
592 | 2025-05-31 10:57:31 | weasons | 1 | 69583 | 6 | 2.560 | 27180.9 |
591 | 2025-05-26 15:23:18 | weasons | 2 | 107671 | 26 | 13.563 | 7938.6 |
590 | 2025-05-26 15:14:23 | weasons | 2 | 107671 | 26 | 16.436 | 6550.9 |
589 | 2025-05-24 19:17:43 | weasons | 2 | 107671 | 26 | 17.563 | 6130.6 |
588 | 2025-05-20 11:55:28 | weasons | 1 | 69583 | 6 | 5.296 | 13138.8 |
587 | 2025-05-17 22:18:08 | weasons | 1 | 69583 | 6 | 8.530 | 8157.4 |
586 | 2025-05-17 18:07:08 | weasons | 1 | 69583 | 6 | 1.076 | 64668.2 |
585 | 2025-05-12 07:36:59 | weasons | 2 | 107671 | 26 | 11.826 | 9104.6 |
584 | 2025-05-12 06:13:26 | weasons | 3 | 134027 | 307 | 40.330 | 3323.3 |
583 | 2025-05-11 11:09:05 | weasons | 1 | 69583 | 6 | 1.233 | 56433.9 |
582 | 2025-05-06 05:37:57 | weasons | 1 | 69583 | 6 | 2.593 | 26834.9 |
581 | 2025-04-30 11:19:31 | weasons | 1 | 69583 | 6 | 3.186 | 21840.2 |
580 | 2025-04-28 07:20:18 | weasons | 3 | 134027 | 307 | 34.846 | 3846.3 |
579 | 2025-04-27 19:09:43 | weasons | 3 | 134027 | 307 | 6.143 | 21817.8 |
578 | 2025-04-26 19:33:06 | weasons | 3 | 134027 | 307 | 25.173 | 5324.2 |
577 | 2025-04-23 10:23:51 | weasons | 3 | 134027 | 307 | 44.490 | 3012.5 |
576 | 2025-04-22 07:32:28 | weasons | 3 | 134027 | 307 | 7.500 | 17870.3 |
575 | 2025-04-21 11:19:39 | weasons | 1 | 69583 | 6 | 5.983 | 11630.1 |
574 | 2025-04-20 10:14:39 | weasons | 1 | 69583 | 6 | 8.610 | 8081.6 |
573 | 2025-04-09 11:18:06 | weasons | 1 | 69583 | 6 | 5.390 | 12909.6 |
572 | 2025-04-09 07:18:51 | weasons | 1 | 69583 | 6 | 7.423 | 9374.0 |
571 | 2025-04-08 20:29:16 | weasons | 3 | 134027 | 307 | 30.750 | 4358.6 |
570 | 2025-04-06 16:29:19 | weasons | 3 | 134027 | 307 | 42.520 | 3152.1 |
569 | 2025-04-04 19:00:46 | weasons | 2 | 107671 | 26 | 13.296 | 8098.0 |
568 | 2025-04-04 18:56:02 | weasons | 3 | 134027 | 307 | 32.783 | 4088.3 |
567 | 2025-04-03 04:39:39 | weasons | 1 | 69583 | 6 | 1.233 | 56433.9 |
566 | 2025-03-29 13:13:45 | weasons | 1 | 69583 | 6 | 5.423 | 12831.1 |
565 | 2025-03-26 10:31:25 | weasons | 3 | 134027 | 307 | 11.466 | 11689.1 |
564 | 2025-03-19 12:03:06 | weasons | 1 | 69583 | 6 | 5.576 | 12479.0 |
563 | 2025-03-18 08:32:36 | weasons | 2 | 107671 | 26 | 8.110 | 13276.3 |
562 | 2025-03-17 19:48:47 | weasons | 2 | 107671 | 26 | 17.003 | 6332.5 |
561 | 2025-03-17 10:34:32 | weasons | 1 | 69583 | 6 | 5.500 | 12651.5 |
560 | 2025-03-17 10:34:14 | weasons | 2 | 107671 | 26 | 14.940 | 7206.9 |
559 | 2025-03-01 18:13:55 | weasons | 1 | 69583 | 6 | 3.033 | 22942.0 |
558 | 2025-02-28 03:45:25 | weasons | 1 | 69583 | 6 | 5.423 | 12831.1 |
557 | 2025-02-27 17:48:50 | weasons | 1 | 69583 | 6 | 7.546 | 9221.2 |
556 | 2025-02-26 10:15:07 | weasons | 3 | 134027 | 307 | 25.673 | 5220.5 |
555 | 2025-02-25 22:01:26 | weasons | 3 | 134027 | 307 | 32.283 | 4151.6 |
554 | 2025-02-25 09:30:30 | weasons | 3 | 134027 | 307 | 27.890 | 4805.6 |
553 | 2025-02-25 09:03:22 | weasons | 3 | 134027 | 307 | 34.736 | 3858.4 |
552 | 2025-02-25 07:32:25 | weasons | 3 | 134027 | 307 | 34.963 | 3833.4 |
551 | 2025-02-25 07:32:23 | weasons | 2 | 107671 | 26 | 16.060 | 6704.3 |
550 | 2025-02-25 06:22:16 | weasons | 1 | 69583 | 6 | 8.236 | 8448.6 |
549 | 2025-01-15 06:29:49 | weasons | 1 | 69583 | 6 | 1.173 | 59320.5 |
548 | 2025-01-13 21:36:35 | weasons | 1 | 69583 | 6 | 3.203 | 21724.3 |
547 | 2025-01-09 05:39:57 | weasons | 2 | 107671 | 26 | 7.813 | 13781.0 |
546 | 2025-01-09 05:39:55 | weasons | 1 | 69583 | 6 | 1.233 | 56433.9 |
545 | 2024-12-26 13:56:43 | weasons | 3 | 134027 | 307 | 31.910 | 4200.2 |
544 | 2024-12-26 07:56:06 | weasons | 3 | 134027 | 307 | 37.003 | 3622.1 |
543 | 2024-12-26 07:00:24 | weasons | 3 | 134027 | 307 | 12.330 | 10870.0 |
542 | 2024-12-25 15:11:34 | weasons | 3 | 134027 | 307 | 36.893 | 3632.9 |
541 | 2024-12-25 14:18:59 | weasons | 3 | 134027 | 307 | 18.190 | 7368.2 |
540 | 2024-12-14 11:13:56 | weasons | 1 | 69583 | 6 | 6.000 | 11597.2 |
539 | 2024-12-12 04:30:34 | weasons | 1 | 69583 | 6 | 2.920 | 23829.8 |
538 | 2024-11-10 13:51:57 | weasons | 2 | 107671 | 26 | 3.360 | 32044.9 |
537 | 2024-11-10 06:50:01 | weasons | 3 | 134027 | 307 | 43.220 | 3101.0 |
536 | 2024-11-10 01:57:45 | weasons | 3 | 134027 | 307 | 28.453 | 4710.5 |
535 | 2024-11-10 01:57:41 | weasons | 2 | 107671 | 26 | 16.236 | 6631.6 |
534 | 2024-11-09 21:30:07 | weasons | 3 | 134027 | 307 | 28.360 | 4725.9 |
533 | 2024-11-09 21:30:04 | weasons | 2 | 107671 | 26 | 21.783 | 4942.9 |
532 | 2024-11-09 12:59:04 | weasons | 3 | 134027 | 307 | 38.970 | 3439.2 |
531 | 2024-11-09 12:59:10 | weasons | 2 | 107671 | 26 | 17.533 | 6141.0 |
530 | 2024-11-09 06:51:24 | weasons | 1 | 69583 | 6 | 1.216 | 57222.9 |
529 | 2024-11-08 20:24:29 | weasons | 1 | 69583 | 6 | 9.000 | 7731.4 |
528 | 2024-10-10 14:12:04 | weasons | 2 | 107671 | 26 | 2.846 | 37832.4 |
527 | 2024-10-09 08:46:02 | weasons | 3 | 134027 | 307 | 34.330 | 3904.1 |
526 | 2024-10-09 08:45:45 | weasons | 2 | 107671 | 26 | 11.330 | 9503.2 |
525 | 2024-10-09 01:49:56 | weasons | 3 | 134027 | 307 | 47.343 | 2831.0 |
524 | 2024-10-08 23:56:48 | weasons | 2 | 107671 | 26 | 16.486 | 6531.1 |