History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"breed"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
599 | 2024-04-26 05:19:48 | breed | 1 | 28756 | 16 | 0.533 | 53951.2 |
598 | 2024-04-24 17:41:57 | breed | 2 | 53800 | 211 | 1.720 | 31279.1 |
597 | 2024-04-02 20:39:04 | breed | 1 | 28756 | 16 | 0.483 | 59536.2 |
596 | 2024-03-31 09:34:53 | breed | 1 | 28756 | 16 | 1.656 | 17364.7 |
595 | 2024-03-31 09:34:35 | breed | 2 | 53800 | 211 | 3.843 | 13999.5 |
594 | 2024-03-31 08:57:33 | breed | 1 | 28756 | 16 | 1.063 | 27051.7 |
593 | 2024-03-29 01:07:02 | breed | 2 | 53800 | 211 | 5.016 | 10725.7 |
592 | 2024-03-28 23:41:54 | breed | 2 | 53800 | 211 | 6.016 | 8942.8 |
591 | 2024-03-28 23:26:01 | breed | 1 | 28756 | 16 | 0.546 | 52666.7 |
590 | 2024-03-24 05:04:02 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
589 | 2024-03-16 15:38:59 | breed | 1 | 28756 | 16 | 0.533 | 53951.2 |
588 | 2024-03-07 03:01:34 | breed | 1 | 28756 | 16 | 0.483 | 59536.2 |
587 | 2024-03-06 07:24:54 | breed | 1 | 28756 | 16 | 1.716 | 16757.6 |
586 | 2024-03-01 05:28:50 | breed | 1 | 28756 | 16 | 0.486 | 59168.7 |
585 | 2024-02-27 20:13:36 | breed | 1 | 28756 | 16 | 0.470 | 61183.0 |
584 | 2024-02-09 16:41:34 | breed | 1 | 28756 | 16 | 0.546 | 52666.7 |
583 | 2024-02-07 22:29:10 | breed | 1 | 28756 | 16 | 1.140 | 25224.6 |
582 | 2024-02-04 08:21:09 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
581 | 2024-02-03 20:44:23 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
580 | 2024-02-01 18:29:27 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
579 | 2024-01-29 00:09:19 | breed | 1 | 28756 | 16 | 0.533 | 53951.2 |
578 | 2024-01-28 23:51:25 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
577 | 2024-01-21 08:45:13 | breed | 2 | 53800 | 211 | 1.406 | 38264.6 |
576 | 2024-01-12 14:23:39 | breed | 2 | 53800 | 211 | 1.606 | 33499.4 |
575 | 2023-12-31 12:40:12 | breed | 1 | 28756 | 16 | 0.546 | 52666.7 |
574 | 2023-12-22 18:12:30 | breed | 1 | 28756 | 16 | 0.876 | 32826.5 |
573 | 2023-12-16 11:12:11 | breed | 2 | 53800 | 211 | 1.516 | 35488.1 |
572 | 2023-12-03 11:14:23 | breed | 1 | 28756 | 16 | 0.483 | 59536.2 |
571 | 2023-12-03 11:14:22 | breed | 1 | 28756 | 16 | 0.483 | 59536.2 |
570 | 2023-12-02 07:22:17 | breed | 2 | 53800 | 211 | 1.580 | 34050.6 |
569 | 2023-11-28 09:05:05 | breed | 1 | 28756 | 16 | 0.453 | 63479.0 |
568 | 2023-11-22 00:37:20 | breed | 2 | 53800 | 211 | 1.406 | 38264.6 |
567 | 2023-11-20 01:27:39 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
566 | 2023-11-18 09:40:21 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
565 | 2023-11-11 19:26:55 | breed | 1 | 28756 | 16 | 0.516 | 55728.7 |
564 | 2023-11-09 02:23:29 | breed | 1 | 28756 | 16 | 0.486 | 59168.7 |
563 | 2023-11-08 18:40:44 | breed | 1 | 28756 | 16 | 0.453 | 63479.0 |
562 | 2023-11-01 10:41:42 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
561 | 2023-10-22 07:11:48 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
560 | 2023-10-18 05:15:24 | breed | 1 | 28756 | 16 | 0.470 | 61183.0 |
559 | 2023-10-13 06:41:33 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
558 | 2023-10-05 03:39:36 | breed | 1 | 28756 | 16 | 0.483 | 59536.2 |
557 | 2023-09-27 04:23:26 | breed | 1 | 28756 | 16 | 0.576 | 49923.6 |
556 | 2023-09-22 05:45:56 | breed | 1 | 28756 | 16 | 0.486 | 59168.7 |
555 | 2023-09-15 22:13:52 | breed | 1 | 28756 | 16 | 0.516 | 55728.7 |
554 | 2023-09-15 10:15:44 | breed | 2 | 53800 | 211 | 1.576 | 34137.1 |
553 | 2023-09-12 22:16:59 | breed | 1 | 28756 | 16 | 0.470 | 61183.0 |
552 | 2023-09-09 13:04:43 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
551 | 2023-06-27 01:34:21 | breed | 1 | 28756 | 16 | 0.466 | 61708.2 |
550 | 2023-06-16 04:22:16 | breed | 2 | 53800 | 211 | 1.643 | 32745.0 |
549 | 2023-06-08 22:42:00 | breed | 1 | 28756 | 16 | 0.420 | 68466.7 |
548 | 2023-06-05 16:35:39 | breed | 1 | 28756 | 16 | 0.483 | 59536.2 |
547 | 2023-04-10 16:35:16 | breed | 1 | 28756 | 16 | 0.486 | 59168.7 |
546 | 2023-03-14 05:45:25 | breed | 2 | 53800 | 211 | 1.360 | 39558.8 |
545 | 2023-03-03 05:13:15 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
544 | 2023-01-29 23:14:19 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
543 | 2022-12-16 19:10:31 | breed | 2 | 53800 | 211 | 1.343 | 40059.6 |
542 | 2022-11-27 18:58:22 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
541 | 2022-11-21 15:01:16 | breed | 1 | 28756 | 16 | 0.486 | 59168.7 |
540 | 2022-09-12 13:58:31 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
539 | 2022-08-31 12:25:55 | breed | 1 | 28756 | 16 | 0.486 | 59168.7 |
538 | 2022-08-14 14:57:19 | breed | 1 | 28756 | 16 | 0.453 | 63479.0 |
537 | 2022-08-14 12:01:09 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
536 | 2022-08-07 20:55:48 | breed | 2 | 53800 | 211 | 1.580 | 34050.6 |
535 | 2022-08-07 18:33:11 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
534 | 2022-08-06 03:46:01 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
533 | 2022-08-05 12:31:57 | breed | 2 | 53800 | 211 | 1.360 | 39558.8 |
532 | 2022-07-23 14:24:43 | breed | 1 | 28756 | 16 | 0.420 | 68466.7 |
531 | 2022-07-21 07:03:41 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
530 | 2022-05-08 18:19:02 | breed | 1 | 28756 | 16 | 0.466 | 61708.2 |
529 | 2022-03-18 13:45:06 | breed | 1 | 28756 | 16 | 0.546 | 52666.7 |
528 | 2022-03-06 20:53:23 | breed | 2 | 53800 | 211 | 1.393 | 38621.7 |
527 | 2022-03-01 16:15:36 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
526 | 2022-02-03 19:21:37 | breed | 1 | 28756 | 16 | 0.470 | 61183.0 |
525 | 2022-01-08 10:26:46 | breed | 1 | 28756 | 16 | 0.483 | 59536.2 |
524 | 2021-11-03 02:32:36 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
523 | 2021-10-19 04:24:44 | breed | 1 | 28756 | 16 | 0.453 | 63479.0 |
522 | 2021-09-11 05:23:30 | breed | 1 | 28756 | 16 | 0.440 | 65354.5 |
521 | 2021-08-24 15:00:07 | breed | 1 | 28756 | 16 | 0.466 | 61708.2 |
520 | 2021-08-03 07:46:21 | breed | 1 | 28756 | 16 | 0.530 | 54256.6 |
519 | 2021-07-30 20:35:24 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
518 | 2021-07-27 00:41:52 | breed | 1 | 28756 | 16 | 0.423 | 67981.1 |
517 | 2021-05-17 17:56:00 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
516 | 2021-04-25 13:18:12 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
515 | 2021-03-20 14:40:28 | breed | 1 | 28756 | 16 | 0.503 | 57169.0 |
514 | 2021-03-15 01:51:51 | breed | 1 | 28756 | 16 | 0.466 | 61708.2 |
513 | 2021-03-10 01:54:00 | breed | 1 | 28756 | 16 | 0.516 | 55728.7 |
512 | 2021-02-19 22:08:48 | breed | 1 | 28756 | 16 | 0.453 | 63479.0 |
511 | 2021-02-19 18:35:03 | breed | 1 | 28756 | 16 | 0.563 | 51076.4 |
510 | 2021-02-01 13:40:11 | breed | 1 | 28756 | 16 | 0.546 | 52666.7 |
509 | 2021-01-30 05:10:11 | breed | 1 | 28756 | 16 | 0.466 | 61708.2 |
508 | 2021-01-24 12:39:08 | breed | 1 | 28756 | 16 | 0.470 | 61183.0 |
507 | 2021-01-05 04:37:15 | breed | 1 | 28756 | 16 | 0.453 | 63479.0 |
506 | 2021-01-02 02:12:48 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
505 | 2020-12-31 03:31:22 | breed | 1 | 28756 | 16 | 0.436 | 65954.1 |
504 | 2020-11-30 13:47:04 | breed | 1 | 28756 | 16 | 0.453 | 63479.0 |
503 | 2020-11-18 08:50:18 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
502 | 2020-10-23 04:25:19 | breed | 1 | 28756 | 16 | 0.986 | 29164.3 |
501 | 2020-10-22 23:12:55 | breed | 1 | 28756 | 16 | 0.470 | 61183.0 |
500 | 2020-10-20 21:52:19 | breed | 1 | 28756 | 16 | 0.516 | 55728.7 |