History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"garbs"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
561 | 2024-04-30 17:01:19 | garbs | 1 | 28756 | 10 | 1.076 | 26724.9 |
560 | 2024-04-29 14:55:41 | garbs | 1 | 28756 | 10 | 0.483 | 59536.2 |
559 | 2024-04-19 19:48:39 | garbs | 1 | 28756 | 10 | 0.656 | 43835.4 |
558 | 2024-04-04 23:01:57 | garbs | 1 | 28756 | 10 | 1.546 | 18600.3 |
557 | 2024-04-03 05:49:17 | garbs | 1 | 28756 | 10 | 1.093 | 26309.2 |
556 | 2024-03-31 10:12:33 | garbs | 2 | 53800 | 226 | 3.813 | 14109.6 |
555 | 2024-03-31 08:23:48 | garbs | 1 | 28756 | 10 | 1.016 | 28303.1 |
554 | 2024-03-27 02:53:21 | garbs | 1 | 28756 | 10 | 0.610 | 47141.0 |
553 | 2024-03-07 21:35:45 | garbs | 1 | 28756 | 10 | 0.533 | 53951.2 |
552 | 2024-03-03 21:53:23 | garbs | 1 | 28756 | 10 | 0.450 | 63902.2 |
551 | 2024-03-01 10:43:00 | garbs | 1 | 28756 | 10 | 0.546 | 52666.7 |
550 | 2024-03-01 06:13:00 | garbs | 1 | 28756 | 10 | 0.530 | 54256.6 |
549 | 2024-02-25 19:09:42 | garbs | 1 | 28756 | 10 | 0.436 | 65954.1 |
548 | 2024-02-06 10:09:54 | garbs | 2 | 53800 | 226 | 1.423 | 37807.4 |
547 | 2024-02-06 00:15:55 | garbs | 2 | 53800 | 226 | 1.813 | 29674.6 |
546 | 2024-01-28 20:45:35 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
545 | 2024-01-25 22:30:45 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
544 | 2024-01-22 16:34:55 | garbs | 1 | 28756 | 10 | 0.483 | 59536.2 |
543 | 2023-12-07 14:11:33 | garbs | 1 | 28756 | 10 | 0.513 | 56054.6 |
542 | 2023-12-07 14:11:32 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
541 | 2023-12-03 18:16:12 | garbs | 2 | 53800 | 226 | 1.623 | 33148.5 |
540 | 2023-12-01 12:53:00 | garbs | 1 | 28756 | 10 | 0.546 | 52666.7 |
539 | 2023-11-22 07:19:09 | garbs | 2 | 53800 | 226 | 1.563 | 34421.0 |
538 | 2023-11-16 21:48:26 | garbs | 1 | 28756 | 10 | 0.436 | 65954.1 |
537 | 2023-11-12 06:06:04 | garbs | 2 | 53800 | 226 | 1.390 | 38705.0 |
536 | 2023-11-12 05:05:22 | garbs | 2 | 53800 | 226 | 1.593 | 33772.8 |
535 | 2023-11-10 18:42:44 | garbs | 1 | 28756 | 10 | 0.436 | 65954.1 |
534 | 2023-11-09 02:33:03 | garbs | 1 | 28756 | 10 | 0.420 | 68466.7 |
533 | 2023-11-01 15:42:10 | garbs | 2 | 53800 | 226 | 1.653 | 32546.9 |
532 | 2023-10-26 17:13:28 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
531 | 2023-10-20 21:33:27 | garbs | 1 | 28756 | 10 | 0.466 | 61708.2 |
530 | 2023-10-17 21:07:25 | garbs | 1 | 28756 | 10 | 0.440 | 65354.5 |
529 | 2023-10-17 20:34:07 | garbs | 2 | 53800 | 226 | 1.546 | 34799.5 |
528 | 2023-10-11 01:03:15 | garbs | 1 | 28756 | 10 | 0.483 | 59536.2 |
527 | 2023-10-04 10:58:46 | garbs | 1 | 28756 | 10 | 0.470 | 61183.0 |
526 | 2023-09-27 07:54:51 | garbs | 1 | 28756 | 10 | 0.420 | 68466.7 |
525 | 2023-09-12 11:40:17 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
524 | 2023-09-03 00:23:09 | garbs | 1 | 28756 | 10 | 0.440 | 65354.5 |
523 | 2023-08-14 20:53:57 | garbs | 2 | 53800 | 226 | 1.360 | 39558.8 |
522 | 2023-08-12 13:45:18 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
521 | 2023-06-08 17:13:12 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
520 | 2023-05-01 08:51:10 | garbs | 1 | 28756 | 10 | 0.470 | 61183.0 |
519 | 2023-04-30 12:16:43 | garbs | 2 | 53800 | 226 | 1.390 | 38705.0 |
518 | 2023-04-27 16:59:18 | garbs | 1 | 28756 | 10 | 0.436 | 65954.1 |
517 | 2023-03-28 04:43:52 | garbs | 1 | 28756 | 10 | 0.470 | 61183.0 |
516 | 2023-02-05 16:24:43 | garbs | 2 | 53800 | 226 | 1.390 | 38705.0 |
515 | 2023-01-22 21:09:44 | garbs | 1 | 28756 | 10 | 0.423 | 67981.1 |
514 | 2023-01-11 12:52:29 | garbs | 1 | 28756 | 10 | 0.436 | 65954.1 |
513 | 2022-11-17 20:30:33 | garbs | 2 | 53800 | 226 | 1.393 | 38621.7 |
512 | 2022-10-23 12:05:46 | garbs | 1 | 28756 | 10 | 0.470 | 61183.0 |
511 | 2022-10-12 04:35:28 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
510 | 2022-08-26 14:10:58 | garbs | 1 | 28756 | 10 | 0.983 | 29253.3 |
509 | 2022-08-23 17:46:17 | garbs | 1 | 28756 | 10 | 0.516 | 55728.7 |
508 | 2022-08-09 13:46:26 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
507 | 2022-06-21 20:52:12 | garbs | 1 | 28756 | 10 | 0.470 | 61183.0 |
506 | 2022-06-21 12:01:37 | garbs | 2 | 53800 | 226 | 1.360 | 39558.8 |
505 | 2022-06-19 07:18:06 | garbs | 2 | 53800 | 226 | 1.373 | 39184.3 |
504 | 2022-06-13 13:36:02 | garbs | 1 | 28756 | 10 | 0.483 | 59536.2 |
503 | 2022-05-20 15:05:44 | garbs | 1 | 28756 | 10 | 0.483 | 59536.2 |
502 | 2022-03-06 01:08:49 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
501 | 2022-02-23 06:53:02 | garbs | 1 | 28756 | 10 | 0.440 | 65354.5 |
500 | 2022-02-07 06:23:14 | garbs | 2 | 53800 | 226 | 1.533 | 35094.6 |
499 | 2021-12-12 09:25:43 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
498 | 2021-11-25 17:35:26 | garbs | 1 | 28756 | 10 | 0.456 | 63061.4 |
497 | 2021-11-12 09:59:43 | garbs | 2 | 53800 | 226 | 1.580 | 34050.6 |
496 | 2021-10-21 16:27:07 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
495 | 2021-09-11 17:28:36 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
494 | 2021-08-27 06:34:01 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
493 | 2021-08-22 20:21:58 | garbs | 1 | 28756 | 10 | 0.436 | 65954.1 |
492 | 2021-06-10 12:35:46 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
491 | 2021-05-21 23:50:01 | garbs | 1 | 28756 | 10 | 0.470 | 61183.0 |
490 | 2021-05-18 16:40:26 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
489 | 2021-04-18 22:13:44 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
488 | 2021-03-21 17:33:19 | garbs | 1 | 28756 | 10 | 0.563 | 51076.4 |
487 | 2021-02-25 22:16:16 | garbs | 2 | 53800 | 226 | 1.406 | 38264.6 |
486 | 2021-02-18 06:08:10 | garbs | 1 | 28756 | 10 | 0.513 | 56054.6 |
485 | 2021-02-15 12:42:57 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
484 | 2021-01-03 12:21:24 | garbs | 1 | 28756 | 10 | 0.436 | 65954.1 |
483 | 2020-11-11 05:00:29 | garbs | 1 | 28756 | 10 | 0.483 | 59536.2 |
482 | 2020-11-08 10:49:05 | garbs | 1 | 28756 | 10 | 0.436 | 65954.1 |
481 | 2020-11-02 05:14:14 | garbs | 2 | 53800 | 226 | 1.453 | 37026.8 |
480 | 2020-10-25 10:41:56 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
479 | 2020-08-24 13:42:59 | garbs | 1 | 28756 | 10 | 0.440 | 65354.5 |
478 | 2020-08-14 03:48:26 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
477 | 2020-08-11 01:02:20 | garbs | 1 | 28756 | 10 | 0.466 | 61708.2 |
476 | 2020-08-08 03:17:39 | garbs | 1 | 28756 | 10 | 0.450 | 63902.2 |
475 | 2020-06-18 10:54:43 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
474 | 2020-05-06 19:09:05 | garbs | 1 | 28756 | 10 | 0.453 | 63479.0 |
473 | 2020-03-24 13:28:56 | garbs | 1 | 28756 | 10 | 0.593 | 48492.4 |
472 | 2020-03-24 11:48:31 | garbs | 1 | 28756 | 10 | 0.576 | 49923.6 |
471 | 2020-03-23 10:56:19 | garbs | 1 | 28756 | 10 | 0.530 | 54256.6 |
470 | 2020-03-23 02:33:28 | garbs | 1 | 28756 | 10 | 0.516 | 55728.7 |
469 | 2020-03-22 02:19:36 | garbs | 1 | 28756 | 10 | 0.483 | 59536.2 |
468 | 2020-03-21 03:55:55 | garbs | 1 | 28756 | 10 | 0.436 | 65954.1 |
467 | 2020-03-18 00:28:54 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
466 | 2020-03-13 15:23:32 | garbs | 1 | 28756 | 10 | 0.450 | 63902.2 |
465 | 2020-03-10 00:51:22 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
464 | 2020-02-22 13:03:31 | garbs | 1 | 28756 | 10 | 0.516 | 55728.7 |
463 | 2020-02-21 11:49:46 | garbs | 1 | 28756 | 10 | 0.500 | 57512.0 |
462 | 2020-02-21 07:25:48 | garbs | 1 | 28756 | 10 | 1.080 | 26625.9 |