History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"weans"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
572 | 2024-03-27 01:37:35 | weans | 1 | 28756 | 14 | 0.530 | 54256.6 |
571 | 2024-03-20 02:11:10 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
570 | 2024-03-03 20:54:23 | weans | 1 | 28756 | 14 | 0.530 | 54256.6 |
569 | 2024-03-01 02:57:04 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
568 | 2024-02-25 22:48:23 | weans | 2 | 53800 | 254 | 5.330 | 10093.8 |
567 | 2024-02-25 22:45:59 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
566 | 2024-02-03 05:31:35 | weans | 1 | 28756 | 14 | 0.546 | 52666.7 |
565 | 2024-01-28 18:12:55 | weans | 1 | 28756 | 14 | 0.470 | 61183.0 |
564 | 2024-01-26 21:11:37 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
563 | 2024-01-03 07:29:21 | weans | 2 | 53800 | 254 | 1.376 | 39098.8 |
562 | 2023-12-16 12:05:10 | weans | 2 | 53800 | 254 | 1.390 | 38705.0 |
561 | 2023-12-15 07:52:18 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
560 | 2023-12-10 00:55:40 | weans | 2 | 53800 | 254 | 1.656 | 32487.9 |
559 | 2023-12-06 13:10:12 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
558 | 2023-12-03 16:10:34 | weans | 1 | 28756 | 14 | 0.530 | 54256.6 |
557 | 2023-12-03 16:10:33 | weans | 1 | 28756 | 14 | 1.000 | 28756.0 |
556 | 2023-12-01 16:07:31 | weans | 2 | 53800 | 254 | 1.593 | 33772.8 |
555 | 2023-11-21 20:50:26 | weans | 2 | 53800 | 254 | 3.453 | 15580.7 |
554 | 2023-11-17 22:27:28 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
553 | 2023-11-12 01:01:10 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
552 | 2023-11-10 21:02:28 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
551 | 2023-11-07 10:59:13 | weans | 1 | 28756 | 14 | 1.423 | 20208.0 |
550 | 2023-11-07 10:59:09 | weans | 1 | 28756 | 14 | 1.106 | 26000.0 |
549 | 2023-11-04 13:58:17 | weans | 1 | 28756 | 14 | 0.470 | 61183.0 |
548 | 2023-11-03 19:01:44 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
547 | 2023-11-01 07:09:31 | weans | 1 | 28756 | 14 | 0.423 | 67981.1 |
546 | 2023-10-27 19:28:41 | weans | 1 | 28756 | 14 | 0.533 | 53951.2 |
545 | 2023-10-22 09:26:35 | weans | 1 | 28756 | 14 | 0.560 | 51350.0 |
544 | 2023-10-21 17:09:17 | weans | 2 | 53800 | 254 | 1.356 | 39675.5 |
543 | 2023-10-20 18:46:54 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
542 | 2023-10-19 23:37:48 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
541 | 2023-10-17 18:23:04 | weans | 1 | 28756 | 14 | 0.440 | 65354.5 |
540 | 2023-10-16 20:03:05 | weans | 2 | 53800 | 254 | 1.720 | 31279.1 |
539 | 2023-10-13 03:29:43 | weans | 1 | 28756 | 14 | 0.953 | 30174.2 |
538 | 2023-10-08 06:32:34 | weans | 2 | 53800 | 254 | 1.360 | 39558.8 |
537 | 2023-10-06 01:16:53 | weans | 2 | 53800 | 254 | 1.360 | 39558.8 |
536 | 2023-10-03 13:56:42 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
535 | 2023-10-03 01:43:04 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
534 | 2023-09-23 18:13:05 | weans | 1 | 28756 | 14 | 0.423 | 67981.1 |
533 | 2023-09-12 09:08:01 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
532 | 2023-07-30 10:03:53 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
531 | 2023-07-30 09:33:41 | weans | 1 | 28756 | 14 | 0.423 | 67981.1 |
530 | 2023-07-17 05:08:23 | weans | 2 | 53800 | 254 | 1.626 | 33087.3 |
529 | 2023-04-26 21:38:58 | weans | 1 | 28756 | 14 | 0.420 | 68466.7 |
528 | 2023-04-07 09:49:12 | weans | 1 | 28756 | 14 | 0.440 | 65354.5 |
527 | 2023-04-03 05:31:24 | weans | 2 | 53800 | 254 | 1.626 | 33087.3 |
526 | 2023-03-17 05:38:16 | weans | 2 | 53800 | 254 | 1.530 | 35163.4 |
525 | 2023-02-14 17:18:06 | weans | 1 | 28756 | 14 | 0.423 | 67981.1 |
524 | 2023-01-25 12:28:38 | weans | 2 | 53800 | 254 | 1.346 | 39970.3 |
523 | 2022-12-31 18:54:20 | weans | 2 | 53800 | 254 | 1.343 | 40059.6 |
522 | 2022-12-14 07:55:52 | weans | 1 | 28756 | 14 | 0.486 | 59168.7 |
521 | 2022-12-14 07:24:51 | weans | 1 | 28756 | 14 | 0.470 | 61183.0 |
520 | 2022-12-12 03:39:43 | weans | 1 | 28756 | 14 | 0.486 | 59168.7 |
519 | 2022-12-08 04:54:56 | weans | 2 | 53800 | 254 | 1.343 | 40059.6 |
518 | 2022-11-06 01:36:44 | weans | 2 | 53800 | 254 | 1.343 | 40059.6 |
517 | 2022-11-06 01:23:33 | weans | 2 | 53800 | 254 | 1.326 | 40573.2 |
516 | 2022-09-18 01:00:30 | weans | 1 | 28756 | 14 | 0.423 | 67981.1 |
515 | 2022-09-12 08:58:48 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
514 | 2022-09-04 10:05:46 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
513 | 2022-09-03 09:36:16 | weans | 2 | 53800 | 254 | 1.360 | 39558.8 |
512 | 2022-08-28 14:51:14 | weans | 1 | 28756 | 14 | 0.423 | 67981.1 |
511 | 2022-08-19 23:57:47 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
510 | 2022-08-15 08:43:36 | weans | 1 | 28756 | 14 | 0.440 | 65354.5 |
509 | 2022-08-08 15:57:40 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
508 | 2022-08-07 00:19:39 | weans | 1 | 28756 | 14 | 0.423 | 67981.1 |
507 | 2022-07-29 15:07:25 | weans | 1 | 28756 | 14 | 0.953 | 30174.2 |
506 | 2022-07-10 03:14:14 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
505 | 2022-06-25 20:31:12 | weans | 1 | 28756 | 14 | 0.440 | 65354.5 |
504 | 2022-06-25 15:21:08 | weans | 1 | 28756 | 14 | 0.420 | 68466.7 |
503 | 2022-06-25 08:24:58 | weans | 1 | 28756 | 14 | 0.470 | 61183.0 |
502 | 2022-06-15 12:34:38 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
501 | 2022-04-14 04:54:48 | weans | 1 | 28756 | 14 | 0.623 | 46157.3 |
500 | 2022-04-07 10:48:48 | weans | 1 | 28756 | 14 | 0.750 | 38341.3 |
499 | 2022-03-25 09:25:48 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
498 | 2022-01-09 21:15:12 | weans | 1 | 28756 | 14 | 0.546 | 52666.7 |
497 | 2021-12-17 01:35:16 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
496 | 2021-11-10 02:40:40 | weans | 1 | 28756 | 14 | 0.450 | 63902.2 |
495 | 2021-11-08 00:07:37 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
494 | 2021-10-01 22:29:03 | weans | 1 | 28756 | 14 | 0.466 | 61708.2 |
493 | 2021-09-03 06:58:39 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
492 | 2021-09-01 16:27:25 | weans | 1 | 28756 | 14 | 0.470 | 61183.0 |
491 | 2021-08-15 05:16:27 | weans | 1 | 28756 | 14 | 0.470 | 61183.0 |
490 | 2021-06-02 10:13:05 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
489 | 2021-05-23 21:52:50 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
488 | 2021-03-01 04:02:37 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
487 | 2021-02-27 17:35:56 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
486 | 2020-11-23 02:07:12 | weans | 1 | 28756 | 14 | 0.423 | 67981.1 |
485 | 2020-11-02 08:11:06 | weans | 1 | 28756 | 14 | 0.533 | 53951.2 |
484 | 2020-11-01 18:07:20 | weans | 1 | 28756 | 14 | 1.000 | 28756.0 |
483 | 2020-10-29 07:50:42 | weans | 1 | 28756 | 14 | 0.530 | 54256.6 |
482 | 2020-10-22 04:50:28 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
481 | 2020-09-28 15:21:22 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
480 | 2020-08-24 11:47:11 | weans | 1 | 28756 | 14 | 0.420 | 68466.7 |
479 | 2020-08-22 03:25:37 | weans | 1 | 28756 | 14 | 0.423 | 67981.1 |
478 | 2020-08-21 15:10:20 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
477 | 2020-08-14 08:07:16 | weans | 1 | 28756 | 14 | 0.470 | 61183.0 |
476 | 2020-08-12 09:53:01 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
475 | 2020-05-08 07:11:55 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
474 | 2020-03-30 01:53:51 | weans | 1 | 28756 | 14 | 0.966 | 29768.1 |
473 | 2020-03-29 19:59:44 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |