History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"overtrained"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
537 | 2025-09-13 22:13:19 | overtrained | 1 | 49908 | 2 | 0.890 | 56076.4 |
536 | 2025-09-10 07:56:45 | overtrained | 1 | 49908 | 2 | 0.936 | 53320.5 |
535 | 2025-09-02 18:36:43 | overtrained | 3 | 121633 | 46 | 5.220 | 23301.3 |
534 | 2025-09-02 12:19:45 | overtrained | 1 | 49908 | 2 | 0.826 | 60421.3 |
533 | 2025-08-30 12:41:17 | overtrained | 4 | 148819 | 239 | 16.126 | 9228.5 |
532 | 2025-08-27 18:25:21 | overtrained | 1 | 49908 | 2 | 1.250 | 39926.4 |
531 | 2025-08-26 01:38:25 | overtrained | 1 | 49908 | 2 | 0.736 | 67809.8 |
530 | 2025-08-25 12:01:46 | overtrained | 1 | 49908 | 2 | 3.813 | 13088.9 |
529 | 2025-08-19 10:53:09 | overtrained | 2 | 86808 | 6 | 5.970 | 14540.7 |
528 | 2025-08-18 10:08:01 | overtrained | 3 | 121633 | 46 | 5.580 | 21798.0 |
527 | 2025-08-18 03:13:05 | overtrained | 1 | 49908 | 2 | 0.860 | 58032.6 |
526 | 2025-08-16 20:11:14 | overtrained | 1 | 49908 | 2 | 1.860 | 26832.3 |
525 | 2025-08-16 06:33:02 | overtrained | 1 | 49908 | 2 | 0.796 | 62698.5 |
524 | 2025-08-15 23:35:24 | overtrained | 4 | 148819 | 239 | 22.893 | 6500.6 |
523 | 2025-08-15 12:57:30 | overtrained | 4 | 148819 | 239 | 24.313 | 6121.0 |
522 | 2025-08-14 18:25:41 | overtrained | 3 | 121633 | 46 | 5.080 | 23943.5 |
521 | 2025-08-14 15:11:43 | overtrained | 1 | 49908 | 2 | 1.126 | 44323.3 |
520 | 2025-08-13 02:29:06 | overtrained | 4 | 148819 | 239 | 44.596 | 3337.0 |
519 | 2025-08-09 15:07:57 | overtrained | 1 | 49908 | 2 | 4.610 | 10826.0 |
518 | 2025-08-09 01:38:30 | overtrained | 1 | 49908 | 2 | 2.690 | 18553.2 |
517 | 2025-08-08 11:37:10 | overtrained | 1 | 49908 | 2 | 1.593 | 31329.6 |
516 | 2025-08-02 13:48:55 | overtrained | 1 | 49908 | 2 | 3.280 | 15215.9 |
515 | 2025-08-01 06:49:45 | overtrained | 1 | 49908 | 2 | 6.143 | 8124.4 |
514 | 2025-07-24 17:17:55 | overtrained | 1 | 49908 | 2 | 2.610 | 19121.8 |
513 | 2025-07-23 19:19:38 | overtrained | 1 | 49908 | 2 | 1.903 | 26226.0 |
512 | 2025-07-21 04:50:53 | overtrained | 1 | 49908 | 2 | 0.830 | 60130.1 |
511 | 2025-07-17 16:33:34 | overtrained | 1 | 49908 | 2 | 3.000 | 16636.0 |
510 | 2025-07-16 07:54:26 | overtrained | 1 | 49908 | 2 | 0.876 | 56972.6 |
509 | 2025-07-15 09:23:25 | overtrained | 3 | 121633 | 46 | 24.690 | 4926.4 |
508 | 2025-07-13 16:28:41 | overtrained | 1 | 49908 | 2 | 1.656 | 30137.7 |
507 | 2025-07-13 08:56:15 | overtrained | 1 | 49908 | 2 | 1.736 | 28748.8 |
506 | 2025-07-09 23:30:35 | overtrained | 3 | 121633 | 46 | 20.033 | 6071.6 |
505 | 2025-07-07 14:41:08 | overtrained | 1 | 49908 | 2 | 2.550 | 19571.8 |
504 | 2025-07-04 23:34:38 | overtrained | 3 | 121633 | 46 | 24.713 | 4921.8 |
503 | 2025-07-04 05:46:39 | overtrained | 3 | 121633 | 46 | 18.720 | 6497.5 |
502 | 2025-07-03 23:17:06 | overtrained | 1 | 49908 | 2 | 0.843 | 59202.8 |
501 | 2025-06-28 08:23:55 | overtrained | 4 | 148819 | 239 | 43.250 | 3440.9 |
500 | 2025-06-27 12:22:58 | overtrained | 3 | 121633 | 46 | 6.953 | 17493.6 |
499 | 2025-06-25 23:42:09 | overtrained | 1 | 49908 | 2 | 1.873 | 26646.0 |
498 | 2025-06-25 12:45:59 | overtrained | 4 | 148819 | 239 | 25.750 | 5779.4 |
497 | 2025-06-20 04:59:38 | overtrained | 4 | 148819 | 239 | 34.753 | 4282.2 |
496 | 2025-06-19 23:57:02 | overtrained | 4 | 148819 | 239 | 66.706 | 2231.0 |
495 | 2025-06-19 05:39:09 | overtrained | 2 | 86808 | 6 | 2.453 | 35388.5 |
494 | 2025-06-19 02:53:42 | overtrained | 3 | 121633 | 46 | 15.800 | 7698.3 |
493 | 2025-06-18 20:47:56 | overtrained | 4 | 148819 | 239 | 20.956 | 7101.5 |
492 | 2025-06-18 12:07:21 | overtrained | 1 | 49908 | 2 | 2.656 | 18790.7 |
491 | 2025-06-18 08:27:25 | overtrained | 1 | 49908 | 2 | 4.343 | 11491.6 |
490 | 2025-06-16 06:16:33 | overtrained | 3 | 121633 | 46 | 27.220 | 4468.5 |
489 | 2025-06-14 13:22:50 | overtrained | 2 | 86808 | 6 | 10.593 | 8194.8 |
488 | 2025-06-14 12:46:06 | overtrained | 1 | 49908 | 2 | 4.203 | 11874.4 |
487 | 2025-06-12 09:44:46 | overtrained | 3 | 121633 | 46 | 23.330 | 5213.6 |
486 | 2025-06-11 21:27:17 | overtrained | 1 | 49908 | 2 | 2.876 | 17353.3 |
485 | 2025-06-11 19:41:27 | overtrained | 1 | 49908 | 2 | 0.860 | 58032.6 |
484 | 2025-06-11 12:34:47 | overtrained | 2 | 86808 | 6 | 10.000 | 8680.8 |
483 | 2025-06-10 19:54:47 | overtrained | 1 | 49908 | 2 | 0.860 | 58032.6 |
482 | 2025-06-10 19:01:00 | overtrained | 1 | 49908 | 2 | 3.796 | 13147.5 |
481 | 2025-06-10 08:14:18 | overtrained | 3 | 121633 | 46 | 28.063 | 4334.3 |
480 | 2025-06-09 19:34:34 | overtrained | 1 | 49908 | 2 | 0.830 | 60130.1 |
479 | 2025-06-03 22:39:53 | overtrained | 3 | 121633 | 46 | 29.156 | 4171.8 |
478 | 2025-06-03 17:26:48 | overtrained | 1 | 49908 | 2 | 0.860 | 58032.6 |
477 | 2025-06-03 14:11:29 | overtrained | 1 | 49908 | 2 | 0.856 | 58303.7 |
476 | 2025-06-03 05:56:08 | overtrained | 2 | 86808 | 6 | 11.906 | 7291.1 |
475 | 2025-06-03 00:13:00 | overtrained | 3 | 121633 | 46 | 9.250 | 13149.5 |
474 | 2025-06-01 20:18:44 | overtrained | 1 | 49908 | 2 | 1.890 | 26406.3 |
473 | 2025-05-27 14:40:41 | overtrained | 1 | 49908 | 2 | 1.860 | 26832.3 |
472 | 2025-05-27 05:41:26 | overtrained | 4 | 148819 | 239 | 40.533 | 3671.6 |
471 | 2025-05-25 23:20:35 | overtrained | 4 | 148819 | 239 | 53.596 | 2776.7 |
470 | 2025-05-25 19:57:42 | overtrained | 4 | 148819 | 239 | 9.046 | 16451.4 |
469 | 2025-05-19 05:31:30 | overtrained | 1 | 49908 | 2 | 0.763 | 65410.2 |
468 | 2025-05-18 17:34:47 | overtrained | 1 | 49908 | 2 | 4.390 | 11368.6 |
467 | 2025-05-18 10:33:11 | overtrained | 3 | 121633 | 46 | 15.440 | 7877.8 |
466 | 2025-05-17 13:23:57 | overtrained | 4 | 148819 | 239 | 38.890 | 3826.7 |
465 | 2025-05-16 11:01:40 | overtrained | 4 | 148819 | 239 | 41.050 | 3625.3 |
464 | 2025-05-16 07:42:00 | overtrained | 4 | 148819 | 239 | 41.280 | 3605.1 |
463 | 2025-05-16 04:01:19 | overtrained | 4 | 148819 | 239 | 56.236 | 2646.3 |
462 | 2025-05-15 06:20:46 | overtrained | 2 | 86808 | 6 | 12.900 | 6729.3 |
461 | 2025-05-15 02:24:03 | overtrained | 3 | 121633 | 46 | 23.423 | 5192.9 |
460 | 2025-05-14 20:51:00 | overtrained | 4 | 148819 | 239 | 10.173 | 14628.8 |
459 | 2025-05-14 13:15:39 | overtrained | 1 | 49908 | 2 | 3.296 | 15142.0 |
458 | 2025-05-14 11:59:35 | overtrained | 1 | 49908 | 2 | 4.533 | 11009.9 |
457 | 2025-05-12 17:53:48 | overtrained | 1 | 49908 | 2 | 1.763 | 28308.6 |
456 | 2025-04-30 14:52:21 | overtrained | 1 | 49908 | 2 | 5.390 | 9259.4 |
455 | 2025-04-19 19:59:51 | overtrained | 1 | 49908 | 2 | 2.843 | 17554.7 |
454 | 2025-04-16 18:57:21 | overtrained | 1 | 49908 | 2 | 1.703 | 29305.9 |
453 | 2025-04-12 05:25:26 | overtrained | 2 | 86808 | 6 | 9.063 | 9578.3 |
452 | 2025-04-12 02:30:30 | overtrained | 3 | 121633 | 46 | 27.296 | 4456.1 |
451 | 2025-04-11 20:53:04 | overtrained | 4 | 148819 | 239 | 44.703 | 3329.1 |
450 | 2025-04-11 11:00:22 | overtrained | 1 | 49908 | 2 | 3.753 | 13298.2 |
449 | 2025-04-10 11:04:18 | overtrained | 3 | 121633 | 46 | 6.186 | 19662.6 |
448 | 2025-04-04 10:12:12 | overtrained | 2 | 86808 | 6 | 5.923 | 14656.1 |
447 | 2025-04-03 11:30:07 | overtrained | 1 | 49908 | 2 | 1.063 | 46950.1 |
446 | 2025-04-03 10:03:26 | overtrained | 4 | 148819 | 239 | 32.673 | 4554.8 |
445 | 2025-04-03 09:33:09 | overtrained | 4 | 148819 | 239 | 12.860 | 11572.2 |
444 | 2025-03-31 11:16:03 | overtrained | 3 | 121633 | 46 | 16.846 | 7220.3 |
443 | 2025-03-29 00:55:29 | overtrained | 1 | 49908 | 2 | 4.156 | 12008.7 |
442 | 2025-03-28 22:50:25 | overtrained | 3 | 121633 | 46 | 16.110 | 7550.2 |
441 | 2025-03-28 14:20:07 | overtrained | 4 | 148819 | 239 | 8.250 | 18038.7 |
440 | 2025-03-28 00:24:47 | overtrained | 4 | 148819 | 239 | 24.406 | 6097.6 |
439 | 2025-03-25 17:03:07 | overtrained | 1 | 49908 | 2 | 3.920 | 12731.6 |
438 | 2025-03-23 00:50:31 | overtrained | 4 | 148819 | 239 | 57.533 | 2586.7 |