History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trainable"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
559 | 2025-06-04 10:01:53 | trainable | 1 | 81242 | 2 | 4.360 | 18633.5 |
558 | 2025-05-29 00:38:24 | trainable | 1 | 81242 | 2 | 10.200 | 7964.9 |
557 | 2025-05-28 07:04:46 | trainable | 1 | 81242 | 2 | 1.423 | 57092.1 |
556 | 2025-05-26 11:01:08 | trainable | 1 | 81242 | 2 | 3.406 | 23852.6 |
555 | 2025-05-04 11:24:15 | trainable | 1 | 81242 | 2 | 6.030 | 13473.0 |
554 | 2025-04-30 09:52:36 | trainable | 1 | 81242 | 2 | 3.563 | 22801.6 |
553 | 2025-04-28 00:23:20 | trainable | 1 | 81242 | 2 | 10.470 | 7759.5 |
552 | 2025-04-27 22:32:29 | trainable | 1 | 81242 | 2 | 6.966 | 11662.6 |
551 | 2025-04-06 05:45:42 | trainable | 1 | 81242 | 2 | 7.406 | 10969.8 |
550 | 2025-04-02 05:05:30 | trainable | 3 | 148641 | 108 | 45.940 | 3235.5 |
549 | 2025-04-02 01:34:04 | trainable | 3 | 148641 | 108 | 36.896 | 4028.6 |
548 | 2025-03-25 01:40:23 | trainable | 1 | 81242 | 2 | 6.580 | 12346.8 |
547 | 2025-03-23 21:25:22 | trainable | 2 | 121436 | 16 | 17.750 | 6841.5 |
546 | 2025-03-23 20:39:34 | trainable | 3 | 148641 | 108 | 45.220 | 3287.1 |
545 | 2025-03-22 11:12:08 | trainable | 1 | 81242 | 2 | 6.626 | 12261.1 |
544 | 2025-03-21 13:52:15 | trainable | 1 | 81242 | 2 | 4.186 | 19408.0 |
543 | 2025-03-13 03:44:42 | trainable | 1 | 81242 | 2 | 5.030 | 16151.5 |
542 | 2025-03-02 23:17:31 | trainable | 3 | 148641 | 108 | 20.156 | 7374.5 |
541 | 2025-03-02 15:00:42 | trainable | 1 | 81242 | 2 | 3.216 | 25261.8 |
540 | 2025-02-21 10:39:57 | trainable | 3 | 148641 | 108 | 49.693 | 2991.2 |
539 | 2025-02-21 09:55:51 | trainable | 3 | 148641 | 108 | 38.596 | 3851.2 |
538 | 2025-02-21 09:55:11 | trainable | 1 | 81242 | 2 | 7.470 | 10875.8 |
537 | 2025-02-08 14:05:22 | trainable | 1 | 81242 | 2 | 5.640 | 14404.6 |
536 | 2025-01-31 03:38:20 | trainable | 3 | 148641 | 108 | 48.473 | 3066.5 |
535 | 2025-01-29 20:56:44 | trainable | 2 | 121436 | 16 | 12.330 | 9848.8 |
534 | 2025-01-27 04:48:52 | trainable | 2 | 121436 | 16 | 18.346 | 6619.2 |
533 | 2025-01-27 04:15:34 | trainable | 1 | 81242 | 2 | 9.953 | 8162.6 |
532 | 2025-01-13 22:51:56 | trainable | 3 | 148641 | 108 | 27.686 | 5368.8 |
531 | 2025-01-11 15:56:00 | trainable | 3 | 148641 | 108 | 45.376 | 3275.8 |
530 | 2025-01-08 14:04:57 | trainable | 1 | 81242 | 2 | 10.016 | 8111.2 |
529 | 2024-12-29 21:03:16 | trainable | 2 | 121436 | 16 | 9.330 | 13015.6 |
528 | 2024-12-28 16:17:39 | trainable | 1 | 81242 | 2 | 1.360 | 59736.8 |
527 | 2024-12-25 12:50:56 | trainable | 3 | 148641 | 108 | 42.176 | 3524.3 |
526 | 2024-12-25 12:50:56 | trainable | 2 | 121436 | 16 | 24.206 | 5016.8 |
525 | 2024-12-25 12:41:33 | trainable | 1 | 81242 | 2 | 7.660 | 10606.0 |
524 | 2024-12-07 13:04:54 | trainable | 1 | 81242 | 2 | 3.326 | 24426.3 |
523 | 2024-12-06 10:00:52 | trainable | 3 | 148641 | 108 | 48.190 | 3084.5 |
522 | 2024-12-05 19:34:11 | trainable | 3 | 148641 | 108 | 37.066 | 4010.2 |
521 | 2024-11-29 15:16:05 | trainable | 1 | 81242 | 2 | 3.763 | 21589.7 |
520 | 2024-11-27 21:14:48 | trainable | 1 | 81242 | 2 | 1.423 | 57092.1 |
519 | 2024-11-22 11:17:11 | trainable | 1 | 81242 | 2 | 1.390 | 58447.5 |
518 | 2024-10-29 10:45:50 | trainable | 3 | 148641 | 108 | 32.530 | 4569.4 |
517 | 2024-10-29 10:30:11 | trainable | 1 | 81242 | 2 | 4.453 | 18244.3 |
516 | 2024-10-28 22:05:35 | trainable | 1 | 81242 | 2 | 1.373 | 59171.2 |
515 | 2024-10-27 21:23:56 | trainable | 1 | 81242 | 2 | 3.016 | 26937.0 |
514 | 2024-10-24 05:34:30 | trainable | 3 | 148641 | 108 | 57.033 | 2606.2 |
513 | 2024-10-23 02:35:25 | trainable | 3 | 148641 | 108 | 38.316 | 3879.3 |
512 | 2024-10-21 13:44:55 | trainable | 3 | 148641 | 108 | 38.490 | 3861.8 |
511 | 2024-10-21 13:44:48 | trainable | 2 | 121436 | 16 | 27.643 | 4393.0 |
510 | 2024-10-21 13:35:57 | trainable | 1 | 81242 | 2 | 1.420 | 57212.7 |
509 | 2024-09-26 09:35:48 | trainable | 1 | 81242 | 2 | 10.686 | 7602.7 |
508 | 2024-09-18 11:22:03 | trainable | 1 | 81242 | 2 | 12.016 | 6761.2 |
507 | 2024-09-12 05:35:42 | trainable | 1 | 81242 | 2 | 15.233 | 5333.3 |
506 | 2024-08-27 09:07:46 | trainable | 1 | 81242 | 2 | 1.296 | 62686.7 |
505 | 2024-08-20 19:09:22 | trainable | 1 | 81242 | 2 | 4.610 | 17623.0 |
504 | 2024-07-19 16:15:12 | trainable | 1 | 81242 | 2 | 2.966 | 27391.1 |
503 | 2024-07-19 15:47:40 | trainable | 3 | 148641 | 108 | 15.970 | 9307.5 |
502 | 2024-07-18 09:05:59 | trainable | 1 | 81242 | 2 | 1.903 | 42691.5 |
501 | 2024-07-16 15:57:10 | trainable | 1 | 81242 | 2 | 1.530 | 53099.3 |
500 | 2024-07-16 01:33:27 | trainable | 2 | 121436 | 16 | 21.046 | 5770.0 |
499 | 2024-07-15 14:18:27 | trainable | 3 | 148641 | 108 | 38.156 | 3895.6 |
498 | 2024-07-15 05:04:24 | trainable | 3 | 148641 | 108 | 23.346 | 6366.9 |
497 | 2024-07-14 01:05:14 | trainable | 3 | 148641 | 108 | 31.876 | 4663.1 |
496 | 2024-07-13 11:04:21 | trainable | 1 | 81242 | 2 | 6.250 | 12998.7 |
495 | 2024-07-13 02:36:15 | trainable | 3 | 148641 | 108 | 26.736 | 5559.6 |
494 | 2024-07-13 02:35:53 | trainable | 2 | 121436 | 16 | 22.813 | 5323.1 |
493 | 2024-07-11 00:38:04 | trainable | 1 | 81242 | 2 | 3.876 | 20960.3 |
492 | 2024-07-07 02:09:07 | trainable | 1 | 81242 | 2 | 5.250 | 15474.7 |
491 | 2024-07-07 01:00:10 | trainable | 2 | 121436 | 16 | 19.456 | 6241.6 |
490 | 2024-07-07 00:29:32 | trainable | 3 | 148641 | 108 | 20.393 | 7288.8 |
489 | 2024-07-07 00:29:11 | trainable | 2 | 121436 | 16 | 8.216 | 14780.4 |
488 | 2024-07-07 00:24:13 | trainable | 1 | 81242 | 2 | 2.360 | 34424.6 |
487 | 2024-06-25 00:48:13 | trainable | 1 | 81242 | 2 | 6.513 | 12473.8 |
486 | 2024-06-18 18:34:51 | trainable | 2 | 121436 | 16 | 11.440 | 10615.0 |
485 | 2024-06-18 05:31:44 | trainable | 2 | 121436 | 16 | 14.796 | 8207.4 |
484 | 2024-06-16 21:41:58 | trainable | 3 | 148641 | 108 | 25.593 | 5807.9 |
483 | 2024-06-14 12:09:43 | trainable | 3 | 148641 | 108 | 29.046 | 5117.4 |
482 | 2024-06-14 02:47:56 | trainable | 3 | 148641 | 108 | 30.563 | 4863.4 |
481 | 2024-06-13 15:47:59 | trainable | 3 | 148641 | 108 | 38.200 | 3891.1 |
480 | 2024-06-13 15:47:10 | trainable | 2 | 121436 | 16 | 11.453 | 10603.0 |
479 | 2024-06-13 15:40:25 | trainable | 1 | 81242 | 2 | 8.080 | 10054.7 |
478 | 2024-06-13 12:10:06 | trainable | 3 | 148641 | 108 | 24.500 | 6067.0 |
477 | 2024-06-13 12:10:05 | trainable | 2 | 121436 | 16 | 10.313 | 11775.0 |
476 | 2024-06-05 04:20:52 | trainable | 1 | 81242 | 2 | 2.233 | 36382.4 |
475 | 2024-05-31 14:15:52 | trainable | 1 | 81242 | 2 | 6.280 | 12936.6 |
474 | 2024-05-23 07:46:35 | trainable | 1 | 81242 | 2 | 1.593 | 50999.4 |
473 | 2024-05-14 17:00:43 | trainable | 3 | 148641 | 108 | 33.676 | 4413.9 |
472 | 2024-05-14 17:00:36 | trainable | 2 | 121436 | 16 | 12.673 | 9582.3 |
471 | 2024-05-14 15:53:20 | trainable | 1 | 81242 | 2 | 1.436 | 56575.2 |
470 | 2024-05-11 20:49:48 | trainable | 3 | 148641 | 108 | 10.953 | 13570.8 |
469 | 2024-05-11 08:33:07 | trainable | 1 | 81242 | 2 | 3.703 | 21939.5 |
468 | 2024-05-05 17:56:48 | trainable | 1 | 81242 | 2 | 2.233 | 36382.4 |
467 | 2024-05-01 10:11:34 | trainable | 1 | 81242 | 2 | 4.953 | 16402.6 |
466 | 2024-04-30 19:28:28 | trainable | 1 | 81242 | 2 | 1.436 | 56575.2 |
465 | 2024-04-25 14:37:46 | trainable | 2 | 121436 | 16 | 5.766 | 21060.7 |
464 | 2024-04-24 14:07:49 | trainable | 3 | 148641 | 108 | 30.563 | 4863.4 |
463 | 2024-04-23 06:23:01 | trainable | 3 | 148641 | 108 | 30.956 | 4801.7 |
462 | 2024-04-20 16:32:22 | trainable | 3 | 148641 | 108 | 15.563 | 9550.9 |
461 | 2024-04-16 05:52:19 | trainable | 3 | 148641 | 108 | 9.813 | 15147.4 |
460 | 2024-04-16 05:52:19 | trainable | 2 | 121436 | 16 | 10.016 | 12124.2 |