History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"snowbelts"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
573 | 2025-08-13 22:52:49 | snowbelts | 1 | 81242 | 4 | 1.453 | 55913.3 |
572 | 2025-08-13 03:04:31 | snowbelts | 1 | 81242 | 4 | 10.076 | 8062.9 |
571 | 2025-08-08 21:50:33 | snowbelts | 1 | 81242 | 4 | 3.250 | 24997.5 |
570 | 2025-07-29 04:30:33 | snowbelts | 2 | 121436 | 7 | 14.873 | 8164.9 |
569 | 2025-07-25 08:46:58 | snowbelts | 1 | 81242 | 4 | 3.923 | 20709.2 |
568 | 2025-07-25 06:30:49 | snowbelts | 1 | 81242 | 4 | 2.750 | 29542.5 |
567 | 2025-07-24 20:45:53 | snowbelts | 1 | 81242 | 4 | 7.483 | 10856.9 |
566 | 2025-07-24 07:11:18 | snowbelts | 1 | 81242 | 4 | 5.406 | 15028.1 |
565 | 2025-07-23 12:36:14 | snowbelts | 1 | 81242 | 4 | 5.080 | 15992.5 |
564 | 2025-07-22 09:55:09 | snowbelts | 1 | 81242 | 4 | 3.343 | 24302.1 |
563 | 2025-07-19 13:29:22 | snowbelts | 1 | 81242 | 4 | 1.440 | 56418.1 |
562 | 2025-07-02 00:12:19 | snowbelts | 1 | 81242 | 4 | 7.103 | 11437.7 |
561 | 2025-06-30 07:29:17 | snowbelts | 3 | 148641 | 28 | 39.376 | 3774.9 |
560 | 2025-06-28 02:19:13 | snowbelts | 3 | 148641 | 28 | 37.580 | 3955.3 |
559 | 2025-06-19 10:46:48 | snowbelts | 3 | 148641 | 28 | 7.626 | 19491.3 |
558 | 2025-06-16 05:15:33 | snowbelts | 1 | 81242 | 4 | 7.283 | 11155.0 |
557 | 2025-06-11 19:07:18 | snowbelts | 1 | 81242 | 4 | 1.390 | 58447.5 |
556 | 2025-06-10 14:18:22 | snowbelts | 1 | 81242 | 4 | 9.376 | 8664.9 |
555 | 2025-06-06 07:52:38 | snowbelts | 1 | 81242 | 4 | 10.156 | 7999.4 |
554 | 2025-05-27 02:39:04 | snowbelts | 1 | 81242 | 4 | 9.360 | 8679.7 |
553 | 2025-05-22 00:43:22 | snowbelts | 1 | 81242 | 4 | 7.173 | 11326.1 |
552 | 2025-05-04 06:10:18 | snowbelts | 1 | 81242 | 4 | 7.516 | 10809.2 |
551 | 2025-05-03 04:21:32 | snowbelts | 1 | 81242 | 4 | 4.703 | 17274.5 |
550 | 2025-04-09 07:29:21 | snowbelts | 1 | 81242 | 4 | 13.410 | 6058.3 |
549 | 2025-04-02 17:10:50 | snowbelts | 3 | 148641 | 28 | 37.406 | 3973.7 |
548 | 2025-04-02 00:29:37 | snowbelts | 2 | 121436 | 7 | 14.843 | 8181.4 |
547 | 2025-03-24 01:36:22 | snowbelts | 1 | 81242 | 4 | 4.610 | 17623.0 |
546 | 2025-03-14 15:27:43 | snowbelts | 1 | 81242 | 4 | 1.376 | 59042.2 |
545 | 2025-03-12 12:13:39 | snowbelts | 2 | 121436 | 7 | 27.300 | 4448.2 |
544 | 2025-03-08 15:42:48 | snowbelts | 1 | 81242 | 4 | 3.513 | 23126.1 |
543 | 2025-03-06 00:33:49 | snowbelts | 3 | 148641 | 28 | 63.596 | 2337.3 |
542 | 2025-03-06 00:33:49 | snowbelts | 3 | 148641 | 28 | 49.503 | 3002.7 |
541 | 2025-03-06 00:33:48 | snowbelts | 2 | 121436 | 7 | 31.626 | 3839.8 |
540 | 2025-03-03 22:10:06 | snowbelts | 1 | 81242 | 4 | 7.016 | 11579.5 |
539 | 2025-02-20 14:38:15 | snowbelts | 3 | 148641 | 28 | 40.406 | 3678.7 |
538 | 2025-02-20 14:38:09 | snowbelts | 2 | 121436 | 7 | 18.373 | 6609.5 |
537 | 2025-02-20 14:37:01 | snowbelts | 1 | 81242 | 4 | 6.563 | 12378.8 |
536 | 2025-02-07 20:17:01 | snowbelts | 1 | 81242 | 4 | 3.593 | 22611.2 |
535 | 2025-02-05 20:32:15 | snowbelts | 1 | 81242 | 4 | 3.466 | 23439.7 |
534 | 2025-01-30 17:58:55 | snowbelts | 3 | 148641 | 28 | 41.286 | 3600.3 |
533 | 2025-01-30 17:58:36 | snowbelts | 3 | 148641 | 28 | 36.646 | 4056.1 |
532 | 2025-01-30 17:58:51 | snowbelts | 2 | 121436 | 7 | 16.066 | 7558.6 |
531 | 2025-01-30 17:57:31 | snowbelts | 1 | 81242 | 4 | 6.890 | 11791.3 |
530 | 2025-01-24 18:45:40 | snowbelts | 3 | 148641 | 28 | 34.410 | 4319.7 |
529 | 2025-01-21 13:22:03 | snowbelts | 3 | 148641 | 28 | 45.626 | 3257.8 |
528 | 2025-01-21 13:22:04 | snowbelts | 2 | 121436 | 7 | 26.140 | 4645.6 |
527 | 2025-01-21 13:19:57 | snowbelts | 1 | 81242 | 4 | 6.906 | 11764.0 |
526 | 2025-01-08 11:06:54 | snowbelts | 1 | 81242 | 4 | 1.533 | 52995.4 |
525 | 2025-01-05 11:00:16 | snowbelts | 1 | 81242 | 4 | 2.906 | 27956.6 |
524 | 2024-12-28 15:40:13 | snowbelts | 1 | 81242 | 4 | 4.486 | 18110.1 |
523 | 2024-12-09 19:54:51 | snowbelts | 3 | 148641 | 28 | 41.633 | 3570.3 |
522 | 2024-11-30 01:37:02 | snowbelts | 3 | 148641 | 28 | 35.190 | 4224.0 |
521 | 2024-11-29 21:02:02 | snowbelts | 3 | 148641 | 28 | 41.146 | 3612.5 |
520 | 2024-11-29 21:02:18 | snowbelts | 2 | 121436 | 7 | 17.706 | 6858.5 |
519 | 2024-11-29 20:58:15 | snowbelts | 1 | 81242 | 4 | 6.750 | 12035.9 |
518 | 2024-11-27 22:28:26 | snowbelts | 1 | 81242 | 4 | 1.390 | 58447.5 |
517 | 2024-11-27 09:26:08 | snowbelts | 1 | 81242 | 4 | 1.470 | 55266.7 |
516 | 2024-11-14 22:26:13 | snowbelts | 1 | 81242 | 4 | 6.686 | 12151.1 |
515 | 2024-10-30 10:48:41 | snowbelts | 3 | 148641 | 28 | 37.410 | 3973.3 |
514 | 2024-10-30 02:07:54 | snowbelts | 3 | 148641 | 28 | 40.613 | 3659.9 |
513 | 2024-10-28 15:49:51 | snowbelts | 1 | 81242 | 4 | 2.516 | 32290.1 |
512 | 2024-10-27 15:44:40 | snowbelts | 1 | 81242 | 4 | 6.843 | 11872.3 |
511 | 2024-10-27 06:46:23 | snowbelts | 3 | 148641 | 28 | 46.376 | 3205.1 |
510 | 2024-10-27 06:46:28 | snowbelts | 2 | 121436 | 7 | 18.593 | 6531.3 |
509 | 2024-10-27 06:45:52 | snowbelts | 1 | 81242 | 4 | 4.330 | 18762.6 |
508 | 2024-10-20 11:05:16 | snowbelts | 3 | 148641 | 28 | 40.610 | 3660.2 |
507 | 2024-10-11 20:36:31 | snowbelts | 3 | 148641 | 28 | 36.126 | 4114.5 |
506 | 2024-09-29 14:00:34 | snowbelts | 3 | 148641 | 28 | 58.866 | 2525.1 |
505 | 2024-09-24 11:55:00 | snowbelts | 3 | 148641 | 28 | 64.723 | 2296.6 |
504 | 2024-09-24 03:13:17 | snowbelts | 3 | 148641 | 28 | 63.490 | 2341.2 |
503 | 2024-09-21 04:07:56 | snowbelts | 3 | 148641 | 28 | 67.740 | 2194.3 |
502 | 2024-09-21 04:08:02 | snowbelts | 2 | 121436 | 7 | 28.613 | 4244.1 |
501 | 2024-09-21 04:05:55 | snowbelts | 1 | 81242 | 4 | 10.410 | 7804.2 |
500 | 2024-09-17 15:48:12 | snowbelts | 2 | 121436 | 7 | 35.316 | 3438.6 |
499 | 2024-09-07 17:01:38 | snowbelts | 1 | 81242 | 4 | 12.406 | 6548.6 |
498 | 2024-09-07 15:30:59 | snowbelts | 4 | 165329 | 185 | 87.510 | 1889.3 |
497 | 2024-09-06 09:25:04 | snowbelts | 4 | 165329 | 185 | 83.376 | 1982.9 |
496 | 2024-09-03 03:23:49 | snowbelts | 4 | 165329 | 185 | 87.490 | 1889.7 |
495 | 2024-08-24 22:29:22 | snowbelts | 4 | 165329 | 185 | 54.596 | 3028.2 |
494 | 2024-08-23 11:17:42 | snowbelts | 1 | 81242 | 4 | 11.360 | 7151.6 |
493 | 2024-08-16 21:39:59 | snowbelts | 4 | 165329 | 185 | 161.260 | 1025.2 |
492 | 2024-08-04 10:14:59 | snowbelts | 4 | 165329 | 185 | 38.080 | 4341.6 |
491 | 2024-08-02 10:34:31 | snowbelts | 4 | 165329 | 185 | 44.816 | 3689.1 |
490 | 2024-08-02 00:32:19 | snowbelts | 2 | 121436 | 7 | 13.576 | 8944.9 |
489 | 2024-07-31 12:38:17 | snowbelts | 1 | 81242 | 4 | 5.360 | 15157.1 |
488 | 2024-07-27 14:16:50 | snowbelts | 2 | 121436 | 7 | 10.313 | 11775.0 |
487 | 2024-07-27 14:12:59 | snowbelts | 1 | 81242 | 4 | 7.326 | 11089.5 |
486 | 2024-07-24 17:20:56 | snowbelts | 3 | 148641 | 28 | 27.580 | 5389.4 |
485 | 2024-07-24 17:20:43 | snowbelts | 3 | 148641 | 28 | 13.706 | 10845.0 |
484 | 2024-07-24 13:26:31 | snowbelts | 3 | 148641 | 28 | 40.953 | 3629.6 |
483 | 2024-07-24 13:26:31 | snowbelts | 3 | 148641 | 28 | 26.533 | 5602.1 |
482 | 2024-07-24 10:23:46 | snowbelts | 4 | 165329 | 185 | 49.596 | 3333.5 |
481 | 2024-07-24 10:23:51 | snowbelts | 3 | 148641 | 28 | 33.473 | 4440.6 |
480 | 2024-07-24 10:23:39 | snowbelts | 2 | 121436 | 7 | 19.453 | 6242.5 |
479 | 2024-07-24 10:19:20 | snowbelts | 1 | 81242 | 4 | 5.000 | 16248.4 |
478 | 2024-07-16 20:52:32 | snowbelts | 1 | 81242 | 4 | 7.223 | 11247.7 |
477 | 2024-07-06 11:01:43 | snowbelts | 1 | 81242 | 4 | 7.906 | 10276.0 |
476 | 2024-07-02 19:31:20 | snowbelts | 3 | 148641 | 28 | 24.280 | 6122.0 |
475 | 2024-07-02 19:30:37 | snowbelts | 4 | 165329 | 185 | 63.533 | 2602.3 |
474 | 2024-07-02 19:30:42 | snowbelts | 2 | 121436 | 7 | 12.220 | 9937.5 |