History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"dense"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
565 | 2024-04-28 18:31:36 | dense | 1 | 28756 | 10 | 0.546 | 52666.7 |
564 | 2024-04-24 03:39:21 | dense | 1 | 28756 | 10 | 0.563 | 51076.4 |
563 | 2024-04-20 21:41:16 | dense | 2 | 53800 | 165 | 5.233 | 10280.9 |
562 | 2024-04-02 21:40:21 | dense | 2 | 53800 | 165 | 1.720 | 31279.1 |
561 | 2024-04-02 21:40:08 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
560 | 2024-03-30 22:10:39 | dense | 1 | 28756 | 10 | 0.530 | 54256.6 |
559 | 2024-03-29 08:37:44 | dense | 2 | 53800 | 165 | 4.733 | 11367.0 |
558 | 2024-03-29 08:35:21 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
557 | 2024-03-28 13:15:35 | dense | 1 | 28756 | 10 | 0.533 | 53951.2 |
556 | 2024-03-19 20:52:16 | dense | 1 | 28756 | 10 | 0.656 | 43835.4 |
555 | 2024-03-19 20:52:07 | dense | 2 | 53800 | 165 | 3.563 | 15099.6 |
554 | 2024-03-19 13:25:45 | dense | 2 | 53800 | 165 | 6.016 | 8942.8 |
553 | 2024-03-18 13:19:52 | dense | 1 | 28756 | 10 | 1.190 | 24164.7 |
552 | 2024-02-28 07:17:20 | dense | 1 | 28756 | 10 | 1.673 | 17188.3 |
551 | 2024-02-11 21:09:51 | dense | 2 | 53800 | 165 | 1.533 | 35094.6 |
550 | 2024-01-29 13:17:08 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
549 | 2024-01-29 03:51:05 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
548 | 2024-01-26 04:40:40 | dense | 2 | 53800 | 165 | 1.736 | 30990.8 |
547 | 2024-01-25 05:24:37 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
546 | 2024-01-11 09:50:34 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
545 | 2023-12-29 12:01:18 | dense | 2 | 53800 | 165 | 1.360 | 39558.8 |
544 | 2023-12-25 02:23:38 | dense | 2 | 53800 | 165 | 1.550 | 34709.7 |
543 | 2023-12-16 13:01:15 | dense | 2 | 53800 | 165 | 1.640 | 32804.9 |
542 | 2023-12-08 06:36:50 | dense | 1 | 28756 | 10 | 0.453 | 63479.0 |
541 | 2023-12-08 06:36:49 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
540 | 2023-11-20 03:16:23 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
539 | 2023-11-18 02:37:46 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
538 | 2023-11-13 11:43:31 | dense | 1 | 28756 | 10 | 0.440 | 65354.5 |
537 | 2023-11-12 04:22:13 | dense | 2 | 53800 | 165 | 1.360 | 39558.8 |
536 | 2023-11-07 09:42:57 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 |
535 | 2023-10-30 12:30:58 | dense | 1 | 28756 | 10 | 1.000 | 28756.0 |
534 | 2023-10-20 06:49:11 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
533 | 2023-10-18 13:07:08 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
532 | 2023-10-13 15:56:23 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
531 | 2023-10-05 01:51:52 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
530 | 2023-10-01 13:41:17 | dense | 1 | 28756 | 10 | 0.423 | 67981.1 |
529 | 2023-09-28 07:59:57 | dense | 1 | 28756 | 10 | 0.783 | 36725.4 |
528 | 2023-09-23 19:24:09 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 |
527 | 2023-09-16 23:11:28 | dense | 2 | 53800 | 165 | 1.673 | 32157.8 |
526 | 2023-09-10 17:02:58 | dense | 1 | 28756 | 10 | 0.466 | 61708.2 |
525 | 2023-09-07 19:37:30 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
524 | 2023-08-14 13:08:03 | dense | 2 | 53800 | 165 | 1.406 | 38264.6 |
523 | 2023-06-24 09:17:06 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
522 | 2023-06-10 04:59:38 | dense | 1 | 28756 | 10 | 0.393 | 73170.5 |
521 | 2023-04-26 08:11:37 | dense | 2 | 53800 | 165 | 1.343 | 40059.6 |
520 | 2023-03-27 21:24:06 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
519 | 2023-03-21 23:56:18 | dense | 1 | 28756 | 10 | 0.470 | 61183.0 |
518 | 2023-01-30 06:15:46 | dense | 2 | 53800 | 165 | 1.486 | 36204.6 |
517 | 2023-01-11 14:25:36 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
516 | 2022-12-16 21:11:48 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
515 | 2022-12-13 16:53:13 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
514 | 2022-11-11 17:32:54 | dense | 2 | 53800 | 165 | 1.360 | 39558.8 |
513 | 2022-10-29 09:17:26 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
512 | 2022-09-06 01:37:59 | dense | 1 | 28756 | 10 | 0.486 | 59168.7 |
511 | 2022-09-03 17:43:50 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
510 | 2022-09-02 18:19:23 | dense | 1 | 28756 | 10 | 0.453 | 63479.0 |
509 | 2022-08-17 13:42:17 | dense | 1 | 28756 | 10 | 0.423 | 67981.1 |
508 | 2022-08-06 19:28:41 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
507 | 2022-07-30 00:28:51 | dense | 1 | 28756 | 10 | 0.420 | 68466.7 |
506 | 2022-07-03 07:11:34 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
505 | 2022-06-25 18:21:53 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
504 | 2022-06-17 17:28:00 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
503 | 2022-06-16 07:13:24 | dense | 1 | 28756 | 10 | 0.470 | 61183.0 |
502 | 2022-06-08 22:15:32 | dense | 1 | 28756 | 10 | 0.453 | 63479.0 |
501 | 2022-06-08 18:27:37 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
500 | 2022-05-27 21:40:52 | dense | 2 | 53800 | 165 | 1.406 | 38264.6 |
499 | 2022-05-21 10:40:11 | dense | 1 | 28756 | 10 | 0.450 | 63902.2 |
498 | 2022-05-18 00:43:42 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
497 | 2022-02-23 01:28:19 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 |
496 | 2022-02-20 20:50:42 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
495 | 2022-02-13 07:35:11 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 |
494 | 2022-01-20 15:37:10 | dense | 2 | 53800 | 165 | 3.126 | 17210.5 |
493 | 2021-12-14 05:18:58 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
492 | 2021-12-12 03:47:27 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
491 | 2021-11-12 04:22:06 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
490 | 2021-10-21 10:37:59 | dense | 1 | 28756 | 10 | 0.530 | 54256.6 |
489 | 2021-09-24 23:51:33 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
488 | 2021-09-07 02:12:42 | dense | 1 | 28756 | 10 | 0.440 | 65354.5 |
487 | 2021-08-18 07:15:12 | dense | 1 | 28756 | 10 | 0.440 | 65354.5 |
486 | 2021-08-12 15:04:29 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
485 | 2021-05-20 12:40:17 | dense | 1 | 28756 | 10 | 0.486 | 59168.7 |
484 | 2021-05-11 22:23:16 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 |
483 | 2021-02-16 22:37:26 | dense | 1 | 28756 | 10 | 0.453 | 63479.0 |
482 | 2021-02-07 12:16:02 | dense | 1 | 28756 | 10 | 0.486 | 59168.7 |
481 | 2021-02-06 12:48:07 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
480 | 2021-02-01 21:57:28 | dense | 1 | 28756 | 10 | 0.440 | 65354.5 |
479 | 2020-12-08 06:56:29 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
478 | 2020-11-18 18:26:23 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 |
477 | 2020-11-05 17:10:49 | dense | 1 | 28756 | 10 | 0.453 | 63479.0 |
476 | 2020-10-29 08:07:47 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
475 | 2020-10-24 11:50:32 | dense | 1 | 28756 | 10 | 0.453 | 63479.0 |
474 | 2020-10-13 17:18:25 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
473 | 2020-08-21 20:37:30 | dense | 1 | 28756 | 10 | 0.533 | 53951.2 |
472 | 2020-08-20 12:35:58 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 |
471 | 2020-08-13 21:03:48 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 |
470 | 2020-08-05 02:41:53 | dense | 1 | 28756 | 10 | 0.453 | 63479.0 |
469 | 2020-08-04 21:56:58 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 |
468 | 2020-08-01 16:33:00 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 |
467 | 2020-07-23 15:23:59 | dense | 1 | 28756 | 10 | 0.670 | 42919.4 |
466 | 2020-07-22 15:47:25 | dense | 1 | 28756 | 10 | 0.470 | 61183.0 |