History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"worst"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
542 | 2024-04-09 02:21:34 | worst | 2 | 53800 | 129 | 1.640 | 32804.9 |
541 | 2024-04-03 04:50:02 | worst | 1 | 28756 | 9 | 0.656 | 43835.4 |
540 | 2024-03-30 20:54:50 | worst | 2 | 53800 | 129 | 3.830 | 14047.0 |
539 | 2024-03-30 20:47:16 | worst | 1 | 28756 | 9 | 0.610 | 47141.0 |
538 | 2024-03-28 20:10:02 | worst | 1 | 28756 | 9 | 0.420 | 68466.7 |
537 | 2024-03-03 23:07:49 | worst | 2 | 53800 | 129 | 6.436 | 8359.2 |
536 | 2024-03-03 22:31:11 | worst | 1 | 28756 | 9 | 0.560 | 51350.0 |
535 | 2024-02-27 11:41:12 | worst | 2 | 53800 | 129 | 1.703 | 31591.3 |
534 | 2024-02-26 21:21:49 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
533 | 2024-02-26 19:35:55 | worst | 1 | 28756 | 9 | 0.530 | 54256.6 |
532 | 2024-02-26 19:35:20 | worst | 2 | 53800 | 129 | 1.576 | 34137.1 |
531 | 2024-02-02 21:32:03 | worst | 1 | 28756 | 9 | 0.423 | 67981.1 |
530 | 2024-01-27 13:10:09 | worst | 1 | 28756 | 9 | 0.983 | 29253.3 |
529 | 2024-01-24 16:58:40 | worst | 1 | 28756 | 9 | 0.533 | 53951.2 |
528 | 2024-01-19 06:57:47 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
527 | 2023-12-25 07:44:45 | worst | 2 | 53800 | 129 | 1.516 | 35488.1 |
526 | 2023-12-23 00:03:38 | worst | 2 | 53800 | 129 | 1.546 | 34799.5 |
525 | 2023-12-09 19:24:22 | worst | 2 | 53800 | 129 | 1.343 | 40059.6 |
524 | 2023-11-29 00:07:23 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
523 | 2023-11-26 05:27:44 | worst | 2 | 53800 | 129 | 1.500 | 35866.7 |
522 | 2023-11-19 11:29:29 | worst | 1 | 28756 | 9 | 0.563 | 51076.4 |
521 | 2023-11-12 23:54:12 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
520 | 2023-11-12 15:49:04 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
519 | 2023-10-28 10:19:13 | worst | 2 | 53800 | 129 | 1.593 | 33772.8 |
518 | 2023-10-27 10:33:27 | worst | 1 | 28756 | 9 | 1.096 | 26237.2 |
517 | 2023-10-19 20:46:24 | worst | 1 | 28756 | 9 | 0.450 | 63902.2 |
516 | 2023-10-17 21:12:14 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
515 | 2023-10-17 02:07:12 | worst | 2 | 53800 | 129 | 1.406 | 38264.6 |
514 | 2023-10-11 01:09:36 | worst | 1 | 28756 | 9 | 0.966 | 29768.1 |
513 | 2023-10-04 14:00:54 | worst | 1 | 28756 | 9 | 0.486 | 59168.7 |
512 | 2023-10-03 23:08:18 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
511 | 2023-10-01 09:46:33 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
510 | 2023-09-22 16:16:05 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
509 | 2023-09-22 05:12:52 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
508 | 2023-09-11 21:27:15 | worst | 2 | 53800 | 129 | 1.580 | 34050.6 |
507 | 2023-09-07 16:33:16 | worst | 2 | 53800 | 129 | 1.453 | 37026.8 |
506 | 2023-09-05 17:25:24 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
505 | 2023-06-10 15:50:47 | worst | 1 | 28756 | 9 | 0.440 | 65354.5 |
504 | 2023-05-25 17:43:06 | worst | 1 | 28756 | 9 | 0.440 | 65354.5 |
503 | 2023-05-24 17:30:44 | worst | 2 | 53800 | 129 | 1.343 | 40059.6 |
502 | 2023-03-29 21:52:19 | worst | 1 | 28756 | 9 | 0.423 | 67981.1 |
501 | 2023-03-04 10:27:36 | worst | 2 | 53800 | 129 | 1.560 | 34487.2 |
500 | 2023-01-26 04:23:12 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
499 | 2023-01-25 09:55:36 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
498 | 2023-01-12 12:25:33 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
497 | 2022-12-11 06:09:24 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
496 | 2022-12-11 04:21:15 | worst | 2 | 53800 | 129 | 1.330 | 40451.1 |
495 | 2022-11-04 17:08:29 | worst | 1 | 28756 | 9 | 0.423 | 67981.1 |
494 | 2022-10-26 14:57:37 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
493 | 2022-09-16 15:29:21 | worst | 1 | 28756 | 9 | 0.420 | 68466.7 |
492 | 2022-08-16 00:44:35 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
491 | 2022-07-30 10:22:50 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
490 | 2022-07-29 22:30:50 | worst | 2 | 53800 | 129 | 1.326 | 40573.2 |
489 | 2022-06-17 20:44:29 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
488 | 2022-05-30 18:33:59 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
487 | 2022-05-11 04:43:32 | worst | 1 | 28756 | 9 | 0.593 | 48492.4 |
486 | 2022-04-30 03:27:12 | worst | 1 | 28756 | 9 | 0.440 | 65354.5 |
485 | 2022-02-23 05:32:02 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
484 | 2022-01-06 14:52:26 | worst | 1 | 28756 | 9 | 0.546 | 52666.7 |
483 | 2021-12-12 06:47:43 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
482 | 2021-12-10 04:04:39 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
481 | 2021-10-19 11:31:46 | worst | 1 | 28756 | 9 | 0.440 | 65354.5 |
480 | 2021-09-14 11:25:28 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
479 | 2021-09-11 16:27:52 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
478 | 2021-08-24 23:13:25 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
477 | 2021-06-14 07:36:39 | worst | 1 | 28756 | 9 | 0.530 | 54256.6 |
476 | 2021-03-11 11:45:03 | worst | 1 | 28756 | 9 | 0.423 | 67981.1 |
475 | 2021-03-09 06:50:24 | worst | 2 | 53800 | 129 | 1.670 | 32215.6 |
474 | 2020-11-29 21:15:13 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
473 | 2020-11-08 06:35:02 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
472 | 2020-10-31 07:17:08 | worst | 1 | 28756 | 9 | 0.486 | 59168.7 |
471 | 2020-10-26 03:50:58 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
470 | 2020-10-21 17:52:15 | worst | 1 | 28756 | 9 | 0.486 | 59168.7 |
469 | 2020-10-19 15:40:22 | worst | 2 | 53800 | 129 | 1.580 | 34050.6 |
468 | 2020-08-29 13:06:13 | worst | 1 | 28756 | 9 | 0.513 | 56054.6 |
467 | 2020-08-24 11:47:57 | worst | 1 | 28756 | 9 | 0.516 | 55728.7 |
466 | 2020-07-23 21:55:29 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
465 | 2020-07-18 11:26:53 | worst | 1 | 28756 | 9 | 0.470 | 61183.0 |
464 | 2020-07-17 11:51:51 | worst | 1 | 28756 | 9 | 0.470 | 61183.0 |
463 | 2020-07-16 11:00:00 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
462 | 2020-06-17 20:59:04 | worst | 1 | 28756 | 9 | 0.470 | 61183.0 |
461 | 2020-05-12 14:40:13 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
460 | 2020-03-27 23:56:07 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
459 | 2020-03-26 22:46:59 | worst | 1 | 28756 | 9 | 0.486 | 59168.7 |
458 | 2020-03-25 00:04:56 | worst | 1 | 28756 | 9 | 0.470 | 61183.0 |
457 | 2020-03-24 01:38:28 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
456 | 2020-03-23 23:50:40 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
455 | 2020-03-22 01:49:50 | worst | 1 | 28756 | 9 | 1.186 | 24246.2 |
454 | 2020-03-21 18:13:04 | worst | 1 | 28756 | 9 | 1.000 | 28756.0 |
453 | 2020-03-21 02:42:17 | worst | 1 | 28756 | 9 | 0.530 | 54256.6 |
452 | 2020-03-18 03:08:12 | worst | 1 | 28756 | 9 | 0.530 | 54256.6 |
451 | 2020-02-26 05:40:34 | worst | 1 | 28756 | 9 | 0.513 | 56054.6 |
450 | 2020-02-25 09:18:03 | worst | 1 | 28756 | 9 | 0.686 | 41918.4 |
449 | 2020-02-17 16:27:37 | worst | 1 | 28756 | 9 | 0.516 | 55728.7 |
448 | 2020-02-15 04:58:04 | worst | 1 | 28756 | 9 | 0.513 | 56054.6 |
447 | 2020-02-15 00:01:53 | worst | 1 | 28756 | 9 | 1.123 | 25606.4 |
446 | 2020-02-09 13:35:15 | worst | 1 | 28756 | 9 | 1.143 | 25158.4 |
445 | 2020-02-06 11:43:17 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
444 | 2020-02-04 01:55:58 | worst | 1 | 28756 | 9 | 0.486 | 59168.7 |
443 | 2020-02-01 03:14:38 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |