History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"corset"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
582 | 2024-04-28 03:15:42 | corset | 1 | 48755 | 10 | 2.046 | 23829.4 |
581 | 2024-04-27 15:09:14 | corset | 1 | 48755 | 10 | 0.906 | 53813.5 |
580 | 2024-04-22 23:27:41 | corset | 1 | 48755 | 10 | 0.906 | 53813.5 |
579 | 2024-04-20 21:42:04 | corset | 2 | 82551 | 110 | 3.936 | 20973.3 |
578 | 2024-04-20 21:39:30 | corset | 1 | 48755 | 10 | 1.623 | 30040.0 |
577 | 2024-04-19 11:34:20 | corset | 1 | 48755 | 10 | 3.033 | 16074.8 |
576 | 2024-04-14 23:01:23 | corset | 1 | 48755 | 10 | 0.876 | 55656.4 |
575 | 2024-03-29 11:31:06 | corset | 1 | 48755 | 10 | 1.016 | 47987.2 |
574 | 2024-03-21 04:57:23 | corset | 1 | 48755 | 10 | 1.986 | 24549.3 |
573 | 2024-03-04 04:08:03 | corset | 2 | 82551 | 110 | 8.810 | 9370.1 |
572 | 2024-03-04 04:07:52 | corset | 1 | 48755 | 10 | 0.970 | 50262.9 |
571 | 2024-02-28 10:04:23 | corset | 1 | 48755 | 10 | 1.970 | 24748.7 |
570 | 2024-02-19 22:12:07 | corset | 2 | 82551 | 110 | 8.720 | 9466.9 |
569 | 2024-02-19 19:42:41 | corset | 1 | 48755 | 10 | 1.873 | 26030.4 |
568 | 2024-02-12 19:33:54 | corset | 2 | 82551 | 110 | 2.313 | 35690.0 |
567 | 2024-01-20 17:15:20 | corset | 1 | 48755 | 10 | 0.780 | 62506.4 |
566 | 2024-01-18 07:19:14 | corset | 2 | 82551 | 110 | 2.266 | 36430.3 |
565 | 2024-01-17 02:01:47 | corset | 1 | 48755 | 10 | 0.766 | 63648.8 |
564 | 2024-01-09 20:39:16 | corset | 2 | 82551 | 110 | 2.610 | 31628.7 |
563 | 2024-01-01 10:04:40 | corset | 1 | 48755 | 10 | 0.766 | 63648.8 |
562 | 2023-12-10 01:16:46 | corset | 2 | 82551 | 110 | 2.236 | 36919.1 |
561 | 2023-12-05 20:27:27 | corset | 2 | 82551 | 110 | 2.670 | 30918.0 |
560 | 2023-11-15 14:56:31 | corset | 2 | 82551 | 110 | 2.360 | 34979.2 |
559 | 2023-11-15 07:27:48 | corset | 1 | 48755 | 10 | 0.780 | 62506.4 |
558 | 2023-11-11 06:04:46 | corset | 1 | 48755 | 10 | 0.846 | 57630.0 |
557 | 2023-11-05 20:16:54 | corset | 1 | 48755 | 10 | 0.923 | 52822.3 |
556 | 2023-10-27 17:58:20 | corset | 2 | 82551 | 110 | 2.330 | 35429.6 |
555 | 2023-10-20 21:59:19 | corset | 1 | 48755 | 10 | 0.766 | 63648.8 |
554 | 2023-10-19 20:25:44 | corset | 1 | 48755 | 10 | 0.813 | 59969.2 |
553 | 2023-10-19 11:04:50 | corset | 1 | 48755 | 10 | 0.783 | 62266.9 |
552 | 2023-10-13 16:07:50 | corset | 1 | 48755 | 10 | 0.843 | 57835.1 |
551 | 2023-10-08 13:44:38 | corset | 1 | 48755 | 10 | 0.876 | 55656.4 |
550 | 2023-10-03 05:51:06 | corset | 1 | 48755 | 10 | 0.750 | 65006.7 |
549 | 2023-09-24 23:34:52 | corset | 1 | 48755 | 10 | 0.750 | 65006.7 |
548 | 2023-09-14 07:08:54 | corset | 1 | 48755 | 10 | 0.780 | 62506.4 |
547 | 2023-08-17 20:12:07 | corset | 1 | 48755 | 10 | 0.846 | 57630.0 |
546 | 2023-08-16 14:57:29 | corset | 2 | 82551 | 110 | 2.186 | 37763.5 |
545 | 2023-06-26 07:26:09 | corset | 1 | 48755 | 10 | 0.843 | 57835.1 |
544 | 2023-05-16 13:53:17 | corset | 1 | 48755 | 10 | 0.890 | 54780.9 |
543 | 2023-05-02 22:43:29 | corset | 2 | 82551 | 110 | 2.593 | 31836.1 |
542 | 2023-03-20 11:44:27 | corset | 1 | 48755 | 10 | 0.843 | 57835.1 |
541 | 2023-03-10 22:03:14 | corset | 1 | 48755 | 10 | 0.766 | 63648.8 |
540 | 2023-02-10 02:07:06 | corset | 2 | 82551 | 110 | 2.156 | 38289.0 |
539 | 2023-02-09 20:56:04 | corset | 1 | 48755 | 10 | 0.750 | 65006.7 |
538 | 2023-01-24 20:43:15 | corset | 2 | 82551 | 110 | 2.156 | 38289.0 |
537 | 2023-01-17 08:50:46 | corset | 1 | 48755 | 10 | 0.876 | 55656.4 |
536 | 2022-12-31 02:35:16 | corset | 1 | 48755 | 10 | 1.733 | 28133.3 |
535 | 2022-12-30 05:29:53 | corset | 2 | 82551 | 110 | 2.576 | 32046.2 |
534 | 2022-12-08 22:33:36 | corset | 1 | 48755 | 10 | 0.750 | 65006.7 |
533 | 2022-11-21 14:45:20 | corset | 2 | 82551 | 110 | 2.610 | 31628.7 |
532 | 2022-09-20 03:48:36 | corset | 1 | 48755 | 10 | 0.750 | 65006.7 |
531 | 2022-09-10 12:38:56 | corset | 1 | 48755 | 10 | 0.766 | 63648.8 |
530 | 2022-08-28 23:37:03 | corset | 1 | 48755 | 10 | 0.750 | 65006.7 |
529 | 2022-07-17 21:58:47 | corset | 1 | 48755 | 10 | 0.780 | 62506.4 |
528 | 2022-05-23 06:48:17 | corset | 1 | 48755 | 10 | 0.766 | 63648.8 |
527 | 2022-05-19 21:11:45 | corset | 1 | 48755 | 10 | 0.856 | 56956.8 |
526 | 2022-05-01 17:18:02 | corset | 1 | 48755 | 10 | 0.766 | 63648.8 |
525 | 2022-04-29 23:24:07 | corset | 2 | 82551 | 110 | 2.173 | 37989.4 |
524 | 2022-04-27 17:19:32 | corset | 2 | 82551 | 110 | 2.423 | 34069.7 |
523 | 2022-02-15 05:06:00 | corset | 1 | 48755 | 10 | 0.763 | 63899.1 |
522 | 2022-02-11 16:21:37 | corset | 1 | 48755 | 10 | 0.783 | 62266.9 |
521 | 2022-01-28 12:01:19 | corset | 1 | 48755 | 10 | 0.876 | 55656.4 |
520 | 2022-01-27 21:55:41 | corset | 1 | 48755 | 10 | 0.906 | 53813.5 |
519 | 2022-01-27 04:28:30 | corset | 1 | 48755 | 10 | 0.780 | 62506.4 |
518 | 2022-01-26 19:31:51 | corset | 1 | 48755 | 10 | 0.873 | 55847.7 |
517 | 2022-01-26 10:29:20 | corset | 1 | 48755 | 10 | 0.843 | 57835.1 |
516 | 2022-01-26 01:24:55 | corset | 1 | 48755 | 10 | 0.766 | 63648.8 |
515 | 2022-01-25 10:46:53 | corset | 1 | 48755 | 10 | 0.860 | 56691.9 |
514 | 2022-01-25 04:01:35 | corset | 1 | 48755 | 10 | 0.890 | 54780.9 |
513 | 2022-01-24 11:30:40 | corset | 1 | 48755 | 10 | 0.890 | 54780.9 |
512 | 2022-01-23 22:35:39 | corset | 1 | 48755 | 10 | 0.890 | 54780.9 |
511 | 2022-01-22 22:34:34 | corset | 1 | 48755 | 10 | 0.876 | 55656.4 |
510 | 2022-01-20 17:04:41 | corset | 1 | 48755 | 10 | 0.876 | 55656.4 |
509 | 2022-01-16 21:38:11 | corset | 1 | 48755 | 10 | 0.750 | 65006.7 |
508 | 2022-01-05 22:51:11 | corset | 1 | 48755 | 10 | 0.923 | 52822.3 |
507 | 2022-01-05 13:34:48 | corset | 1 | 48755 | 10 | 0.813 | 59969.2 |
506 | 2022-01-04 22:42:33 | corset | 1 | 48755 | 10 | 0.970 | 50262.9 |
505 | 2021-12-28 15:13:59 | corset | 2 | 82551 | 110 | 2.733 | 30205.3 |
504 | 2021-12-27 05:11:23 | corset | 1 | 48755 | 10 | 0.813 | 59969.2 |
503 | 2021-12-26 11:31:11 | corset | 2 | 82551 | 110 | 2.593 | 31836.1 |
502 | 2021-11-18 09:57:11 | corset | 1 | 48755 | 10 | 0.860 | 56691.9 |
501 | 2021-11-15 12:52:49 | corset | 1 | 48755 | 10 | 0.780 | 62506.4 |
500 | 2021-11-13 05:27:56 | corset | 1 | 48755 | 10 | 0.813 | 59969.2 |
499 | 2021-11-10 15:32:53 | corset | 1 | 48755 | 10 | 0.860 | 56691.9 |
498 | 2021-11-10 07:22:44 | corset | 1 | 48755 | 10 | 0.873 | 55847.7 |
497 | 2021-11-07 11:43:01 | corset | 1 | 48755 | 10 | 0.890 | 54780.9 |
496 | 2021-11-07 00:54:57 | corset | 1 | 48755 | 10 | 0.763 | 63899.1 |
495 | 2021-11-06 16:46:52 | corset | 1 | 48755 | 10 | 0.906 | 53813.5 |
494 | 2021-11-06 06:42:27 | corset | 1 | 48755 | 10 | 0.840 | 58041.7 |
493 | 2021-11-05 19:15:50 | corset | 1 | 48755 | 10 | 0.873 | 55847.7 |
492 | 2021-11-05 09:25:24 | corset | 1 | 48755 | 10 | 0.876 | 55656.4 |
491 | 2021-11-05 01:06:23 | corset | 1 | 48755 | 10 | 0.890 | 54780.9 |
490 | 2021-11-04 15:11:48 | corset | 1 | 48755 | 10 | 0.796 | 61250.0 |
489 | 2021-11-03 20:07:07 | corset | 1 | 48755 | 10 | 0.890 | 54780.9 |
488 | 2021-11-03 16:11:23 | corset | 1 | 48755 | 10 | 0.906 | 53813.5 |
487 | 2021-11-03 08:53:40 | corset | 1 | 48755 | 10 | 0.876 | 55656.4 |
486 | 2021-11-02 08:51:15 | corset | 1 | 48755 | 10 | 0.906 | 53813.5 |
485 | 2021-11-01 08:59:08 | corset | 1 | 48755 | 10 | 0.810 | 60191.4 |
484 | 2021-10-31 09:44:21 | corset | 1 | 48755 | 10 | 0.860 | 56691.9 |
483 | 2021-10-14 17:18:50 | corset | 1 | 48755 | 10 | 0.890 | 54780.9 |