History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"edges"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
560 | 2024-05-03 23:54:17 | edges | 1 | 28756 | 10 | 0.513 | 56054.6 |
559 | 2024-05-03 13:22:22 | edges | 1 | 28756 | 10 | 0.533 | 53951.2 |
558 | 2024-04-27 01:31:30 | edges | 1 | 28756 | 10 | 1.983 | 14501.3 |
557 | 2024-04-25 19:32:32 | edges | 1 | 28756 | 10 | 0.530 | 54256.6 |
556 | 2024-04-11 06:31:51 | edges | 1 | 28756 | 10 | 0.500 | 57512.0 |
555 | 2024-04-03 07:17:13 | edges | 1 | 28756 | 10 | 1.076 | 26724.9 |
554 | 2024-03-31 05:31:44 | edges | 2 | 53800 | 127 | 4.813 | 11178.1 |
553 | 2024-03-31 03:58:11 | edges | 1 | 28756 | 10 | 1.016 | 28303.1 |
552 | 2024-03-28 20:12:11 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
551 | 2024-03-05 20:52:49 | edges | 1 | 28756 | 10 | 1.283 | 22413.1 |
550 | 2024-03-04 02:52:22 | edges | 2 | 53800 | 127 | 1.686 | 31909.8 |
549 | 2024-03-04 02:52:21 | edges | 1 | 28756 | 10 | 0.906 | 31739.5 |
548 | 2024-02-27 12:41:27 | edges | 2 | 53800 | 127 | 3.173 | 16955.6 |
547 | 2024-02-26 14:50:04 | edges | 2 | 53800 | 127 | 1.623 | 33148.5 |
546 | 2024-02-26 14:50:00 | edges | 1 | 28756 | 10 | 0.483 | 59536.2 |
545 | 2024-02-15 12:23:20 | edges | 2 | 53800 | 127 | 1.576 | 34137.1 |
544 | 2024-02-02 22:31:35 | edges | 1 | 28756 | 10 | 0.516 | 55728.7 |
543 | 2024-01-27 09:57:57 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
542 | 2024-01-11 04:20:20 | edges | 1 | 28756 | 10 | 0.516 | 55728.7 |
541 | 2024-01-10 16:03:44 | edges | 2 | 53800 | 127 | 1.593 | 33772.8 |
540 | 2024-01-09 06:47:22 | edges | 1 | 28756 | 10 | 0.440 | 65354.5 |
539 | 2023-12-06 20:49:00 | edges | 2 | 53800 | 127 | 1.343 | 40059.6 |
538 | 2023-12-03 09:17:10 | edges | 2 | 53800 | 127 | 3.326 | 16175.6 |
537 | 2023-11-26 09:14:13 | edges | 1 | 28756 | 10 | 0.450 | 63902.2 |
536 | 2023-11-24 01:18:02 | edges | 2 | 53800 | 127 | 1.393 | 38621.7 |
535 | 2023-11-16 18:34:25 | edges | 2 | 53800 | 127 | 1.390 | 38705.0 |
534 | 2023-11-09 03:55:31 | edges | 1 | 28756 | 10 | 0.483 | 59536.2 |
533 | 2023-11-03 12:09:16 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
532 | 2023-10-28 04:36:41 | edges | 1 | 28756 | 10 | 0.500 | 57512.0 |
531 | 2023-10-22 07:08:26 | edges | 1 | 28756 | 10 | 0.486 | 59168.7 |
530 | 2023-10-18 17:20:15 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
529 | 2023-10-16 14:00:08 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
528 | 2023-10-04 16:55:30 | edges | 1 | 28756 | 10 | 0.500 | 57512.0 |
527 | 2023-09-29 17:35:26 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
526 | 2023-09-27 20:38:35 | edges | 1 | 28756 | 10 | 0.486 | 59168.7 |
525 | 2023-09-10 11:29:56 | edges | 2 | 53800 | 127 | 1.623 | 33148.5 |
524 | 2023-09-10 11:03:05 | edges | 1 | 28756 | 10 | 0.466 | 61708.2 |
523 | 2023-08-26 10:59:58 | edges | 1 | 28756 | 10 | 0.440 | 65354.5 |
522 | 2023-08-18 10:47:10 | edges | 2 | 53800 | 127 | 1.406 | 38264.6 |
521 | 2023-06-25 20:38:40 | edges | 1 | 28756 | 10 | 0.500 | 57512.0 |
520 | 2023-06-21 05:10:33 | edges | 2 | 53800 | 127 | 1.563 | 34421.0 |
519 | 2023-06-02 14:38:25 | edges | 2 | 53800 | 127 | 1.533 | 35094.6 |
518 | 2023-05-28 11:29:10 | edges | 1 | 28756 | 10 | 0.420 | 68466.7 |
517 | 2023-05-20 04:49:59 | edges | 2 | 53800 | 127 | 1.453 | 37026.8 |
516 | 2023-05-18 12:40:18 | edges | 2 | 53800 | 127 | 1.516 | 35488.1 |
515 | 2023-05-02 12:25:17 | edges | 2 | 53800 | 127 | 1.343 | 40059.6 |
514 | 2023-04-04 20:13:52 | edges | 2 | 53800 | 127 | 1.360 | 39558.8 |
513 | 2023-04-01 13:00:56 | edges | 2 | 53800 | 127 | 1.936 | 27789.3 |
512 | 2023-03-22 16:27:57 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
511 | 2023-03-20 03:12:16 | edges | 1 | 28756 | 10 | 0.483 | 59536.2 |
510 | 2023-03-16 20:16:18 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
509 | 2023-02-05 20:54:41 | edges | 2 | 53800 | 127 | 1.576 | 34137.1 |
508 | 2023-01-08 22:49:17 | edges | 1 | 28756 | 10 | 0.440 | 65354.5 |
507 | 2022-12-08 14:04:32 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
506 | 2022-12-05 07:15:07 | edges | 1 | 28756 | 10 | 1.080 | 26625.9 |
505 | 2022-11-18 02:05:14 | edges | 2 | 53800 | 127 | 1.550 | 34709.7 |
504 | 2022-10-15 11:13:45 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
503 | 2022-08-31 21:27:48 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
502 | 2022-06-22 05:39:35 | edges | 2 | 53800 | 127 | 1.360 | 39558.8 |
501 | 2022-06-06 00:48:39 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
500 | 2022-05-26 07:03:43 | edges | 1 | 28756 | 10 | 0.420 | 68466.7 |
499 | 2022-02-20 04:26:23 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
498 | 2022-02-18 06:49:30 | edges | 1 | 28756 | 10 | 0.533 | 53951.2 |
497 | 2022-02-17 05:22:48 | edges | 1 | 28756 | 10 | 0.953 | 30174.2 |
496 | 2021-12-10 09:28:45 | edges | 1 | 28756 | 10 | 0.610 | 47141.0 |
495 | 2021-12-07 08:05:54 | edges | 1 | 28756 | 10 | 0.530 | 54256.6 |
494 | 2021-12-05 04:39:31 | edges | 1 | 28756 | 10 | 0.466 | 61708.2 |
493 | 2021-11-15 03:50:03 | edges | 1 | 28756 | 10 | 0.500 | 57512.0 |
492 | 2021-11-13 14:36:13 | edges | 1 | 28756 | 10 | 0.483 | 59536.2 |
491 | 2021-11-13 12:15:16 | edges | 1 | 28756 | 10 | 0.486 | 59168.7 |
490 | 2021-10-12 14:46:12 | edges | 1 | 28756 | 10 | 0.500 | 57512.0 |
489 | 2021-09-04 04:50:26 | edges | 1 | 28756 | 10 | 0.440 | 65354.5 |
488 | 2021-08-17 14:56:03 | edges | 1 | 28756 | 10 | 0.486 | 59168.7 |
487 | 2021-08-15 10:56:28 | edges | 1 | 28756 | 10 | 0.440 | 65354.5 |
486 | 2021-08-14 00:51:27 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
485 | 2021-06-26 17:59:08 | edges | 1 | 28756 | 10 | 0.560 | 51350.0 |
484 | 2021-05-14 04:15:06 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
483 | 2021-05-13 07:51:03 | edges | 1 | 28756 | 10 | 0.486 | 59168.7 |
482 | 2021-05-11 19:41:05 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
481 | 2021-05-09 18:21:50 | edges | 1 | 28756 | 10 | 0.516 | 55728.7 |
480 | 2021-02-19 05:45:54 | edges | 1 | 28756 | 10 | 0.516 | 55728.7 |
479 | 2021-02-04 05:35:01 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
478 | 2020-11-02 18:34:47 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
477 | 2020-10-28 07:02:20 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
476 | 2020-10-26 12:29:05 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
475 | 2020-10-14 12:56:58 | edges | 1 | 28756 | 10 | 0.500 | 57512.0 |
474 | 2020-09-17 06:39:07 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
473 | 2020-08-27 17:08:06 | edges | 1 | 28756 | 10 | 0.720 | 39938.9 |
472 | 2020-08-24 03:18:20 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |
471 | 2020-08-02 19:18:40 | edges | 1 | 28756 | 10 | 0.466 | 61708.2 |
470 | 2020-07-30 18:57:38 | edges | 1 | 28756 | 10 | 1.046 | 27491.4 |
469 | 2020-06-02 06:10:41 | edges | 1 | 28756 | 10 | 0.516 | 55728.7 |
468 | 2020-05-01 14:20:51 | edges | 1 | 28756 | 10 | 0.466 | 61708.2 |
467 | 2020-04-06 18:44:27 | edges | 1 | 28756 | 10 | 0.470 | 61183.0 |
466 | 2020-03-26 03:56:59 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
465 | 2020-03-24 04:19:17 | edges | 1 | 28756 | 10 | 0.656 | 43835.4 |
464 | 2020-03-23 16:00:55 | edges | 1 | 28756 | 10 | 0.453 | 63479.0 |
463 | 2020-03-22 17:21:15 | edges | 1 | 28756 | 10 | 0.500 | 57512.0 |
462 | 2020-03-21 15:43:49 | edges | 1 | 28756 | 10 | 0.486 | 59168.7 |
461 | 2020-03-21 10:50:26 | edges | 1 | 28756 | 10 | 0.436 | 65954.1 |