History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"relearned"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
521 | 2025-08-27 06:11:04 | relearned | 1 | 81242 | 2 | 1.453 | 55913.3 |
520 | 2025-08-06 09:40:10 | relearned | 2 | 121436 | 12 | 8.936 | 13589.5 |
519 | 2025-08-05 21:12:53 | relearned | 3 | 148641 | 107 | 18.160 | 8185.1 |
518 | 2025-08-05 10:48:21 | relearned | 1 | 81242 | 2 | 3.220 | 25230.4 |
517 | 2025-08-04 03:31:10 | relearned | 1 | 81242 | 2 | 3.593 | 22611.2 |
516 | 2025-08-03 19:26:42 | relearned | 2 | 121436 | 12 | 27.203 | 4464.1 |
515 | 2025-08-03 17:58:20 | relearned | 3 | 148641 | 107 | 20.126 | 7385.5 |
514 | 2025-07-30 23:42:41 | relearned | 1 | 81242 | 2 | 7.236 | 11227.5 |
513 | 2025-07-27 12:14:32 | relearned | 1 | 81242 | 2 | 4.673 | 17385.4 |
512 | 2025-07-27 10:15:17 | relearned | 1 | 81242 | 2 | 4.173 | 19468.5 |
511 | 2025-07-25 07:16:47 | relearned | 1 | 81242 | 2 | 4.360 | 18633.5 |
510 | 2025-07-24 20:54:27 | relearned | 1 | 81242 | 2 | 6.143 | 13225.1 |
509 | 2025-07-24 16:19:58 | relearned | 1 | 81242 | 2 | 7.173 | 11326.1 |
508 | 2025-07-23 03:54:40 | relearned | 1 | 81242 | 2 | 4.783 | 16985.6 |
507 | 2025-07-10 16:40:32 | relearned | 1 | 81242 | 2 | 7.436 | 10925.5 |
506 | 2025-06-27 22:45:53 | relearned | 1 | 81242 | 2 | 3.843 | 21140.3 |
505 | 2025-06-27 04:22:30 | relearned | 2 | 121436 | 12 | 18.893 | 6427.6 |
504 | 2025-06-27 01:44:32 | relearned | 2 | 121436 | 12 | 9.076 | 13379.9 |
503 | 2025-06-26 03:24:41 | relearned | 3 | 148641 | 107 | 40.393 | 3679.9 |
502 | 2025-06-24 20:33:24 | relearned | 2 | 121436 | 12 | 4.016 | 30238.0 |
501 | 2025-06-24 20:24:57 | relearned | 3 | 148641 | 107 | 7.923 | 18760.7 |
500 | 2025-06-23 11:00:15 | relearned | 1 | 81242 | 2 | 1.500 | 54161.3 |
499 | 2025-06-04 18:50:28 | relearned | 3 | 148641 | 107 | 52.113 | 2852.3 |
498 | 2025-06-04 18:48:20 | relearned | 2 | 121436 | 12 | 16.533 | 7345.1 |
497 | 2025-06-03 11:54:10 | relearned | 1 | 81242 | 2 | 1.420 | 57212.7 |
496 | 2025-05-26 03:53:02 | relearned | 3 | 148641 | 107 | 28.610 | 5195.4 |
495 | 2025-05-24 15:19:27 | relearned | 2 | 121436 | 12 | 17.980 | 6753.9 |
494 | 2025-05-24 03:29:34 | relearned | 3 | 148641 | 107 | 35.876 | 4143.2 |
493 | 2025-05-23 21:23:56 | relearned | 1 | 81242 | 2 | 9.750 | 8332.5 |
492 | 2025-05-23 17:33:12 | relearned | 1 | 81242 | 2 | 1.890 | 42985.2 |
491 | 2025-05-23 11:18:00 | relearned | 1 | 81242 | 2 | 3.686 | 22040.7 |
490 | 2025-05-16 09:56:54 | relearned | 1 | 81242 | 2 | 3.250 | 24997.5 |
489 | 2025-05-16 07:11:01 | relearned | 1 | 81242 | 2 | 5.673 | 14320.8 |
488 | 2025-05-15 21:34:13 | relearned | 1 | 81242 | 2 | 8.170 | 9943.9 |
487 | 2025-05-13 04:26:17 | relearned | 1 | 81242 | 2 | 3.330 | 24397.0 |
486 | 2025-05-12 22:47:16 | relearned | 1 | 81242 | 2 | 7.203 | 11278.9 |
485 | 2025-05-11 05:07:21 | relearned | 1 | 81242 | 2 | 3.610 | 22504.7 |
484 | 2025-05-02 14:36:04 | relearned | 1 | 81242 | 2 | 6.343 | 12808.1 |
483 | 2025-04-30 11:54:04 | relearned | 1 | 81242 | 2 | 10.236 | 7936.9 |
482 | 2025-04-23 10:24:11 | relearned | 1 | 81242 | 2 | 6.826 | 11901.8 |
481 | 2025-04-16 04:31:27 | relearned | 2 | 121436 | 12 | 12.643 | 9605.0 |
480 | 2025-04-11 17:10:25 | relearned | 1 | 81242 | 2 | 5.953 | 13647.2 |
479 | 2025-04-10 22:22:15 | relearned | 1 | 81242 | 2 | 4.953 | 16402.6 |
478 | 2025-03-27 17:03:41 | relearned | 1 | 81242 | 2 | 3.393 | 23944.0 |
477 | 2025-03-25 10:14:57 | relearned | 2 | 121436 | 12 | 16.033 | 7574.1 |
476 | 2025-03-24 07:56:04 | relearned | 1 | 81242 | 2 | 6.826 | 11901.8 |
475 | 2025-03-24 00:10:16 | relearned | 2 | 121436 | 12 | 3.466 | 35036.4 |
474 | 2025-03-22 11:32:10 | relearned | 1 | 81242 | 2 | 1.576 | 51549.5 |
473 | 2025-03-20 05:19:52 | relearned | 3 | 148641 | 107 | 39.330 | 3779.3 |
472 | 2025-03-19 11:40:11 | relearned | 3 | 148641 | 107 | 6.233 | 23847.4 |
471 | 2025-03-17 23:39:31 | relearned | 3 | 148641 | 107 | 29.953 | 4962.5 |
470 | 2025-03-17 23:39:28 | relearned | 2 | 121436 | 12 | 16.750 | 7249.9 |
469 | 2025-03-16 06:19:32 | relearned | 1 | 81242 | 2 | 7.126 | 11400.8 |
468 | 2025-03-14 19:42:33 | relearned | 1 | 81242 | 2 | 7.810 | 10402.3 |
467 | 2025-03-07 13:05:40 | relearned | 1 | 81242 | 2 | 4.000 | 20310.5 |
466 | 2025-02-24 15:52:31 | relearned | 1 | 81242 | 2 | 2.283 | 35585.6 |
465 | 2025-02-09 13:17:51 | relearned | 1 | 81242 | 2 | 3.983 | 20397.2 |
464 | 2025-02-04 09:47:38 | relearned | 1 | 81242 | 2 | 4.080 | 19912.3 |
463 | 2025-01-26 21:17:13 | relearned | 1 | 81242 | 2 | 8.313 | 9772.9 |
462 | 2025-01-24 19:14:09 | relearned | 1 | 81242 | 2 | 1.466 | 55417.5 |
461 | 2025-01-06 16:58:12 | relearned | 1 | 81242 | 2 | 1.546 | 52549.8 |
460 | 2025-01-01 10:21:03 | relearned | 3 | 148641 | 107 | 52.786 | 2815.9 |
459 | 2024-12-31 21:10:10 | relearned | 3 | 148641 | 107 | 46.906 | 3168.9 |
458 | 2024-12-27 06:41:51 | relearned | 1 | 81242 | 2 | 9.143 | 8885.7 |
457 | 2024-12-26 02:20:51 | relearned | 3 | 148641 | 107 | 25.436 | 5843.7 |
456 | 2024-12-25 11:48:56 | relearned | 3 | 148641 | 107 | 41.080 | 3618.3 |
455 | 2024-12-25 11:48:56 | relearned | 2 | 121436 | 12 | 19.156 | 6339.3 |
454 | 2024-12-25 11:48:01 | relearned | 1 | 81242 | 2 | 2.826 | 28748.1 |
453 | 2024-12-24 04:34:58 | relearned | 1 | 81242 | 2 | 4.640 | 17509.1 |
452 | 2024-12-02 09:39:57 | relearned | 1 | 81242 | 2 | 7.640 | 10633.8 |
451 | 2024-12-01 14:30:30 | relearned | 3 | 148641 | 107 | 37.156 | 4000.5 |
450 | 2024-11-29 09:54:25 | relearned | 3 | 148641 | 107 | 30.096 | 4938.9 |
449 | 2024-11-22 00:16:16 | relearned | 1 | 81242 | 2 | 4.580 | 17738.4 |
448 | 2024-11-12 19:45:11 | relearned | 3 | 148641 | 107 | 29.796 | 4988.6 |
447 | 2024-11-12 19:45:10 | relearned | 2 | 121436 | 12 | 19.253 | 6307.4 |
446 | 2024-11-12 09:52:05 | relearned | 3 | 148641 | 107 | 37.456 | 3968.4 |
445 | 2024-11-12 09:52:06 | relearned | 2 | 121436 | 12 | 10.110 | 12011.5 |
444 | 2024-11-12 01:45:11 | relearned | 1 | 81242 | 2 | 1.500 | 54161.3 |
443 | 2024-11-09 19:53:53 | relearned | 1 | 81242 | 2 | 1.420 | 57212.7 |
442 | 2024-11-01 00:50:31 | relearned | 3 | 148641 | 107 | 35.626 | 4172.3 |
441 | 2024-11-01 00:50:36 | relearned | 2 | 121436 | 12 | 21.143 | 5743.6 |
440 | 2024-11-01 00:40:54 | relearned | 1 | 81242 | 2 | 6.733 | 12066.2 |
439 | 2024-10-16 11:02:16 | relearned | 1 | 81242 | 2 | 6.813 | 11924.6 |
438 | 2024-10-10 22:52:13 | relearned | 1 | 81242 | 2 | 4.500 | 18053.8 |
437 | 2024-10-03 14:41:42 | relearned | 1 | 81242 | 2 | 9.453 | 8594.3 |
436 | 2024-09-09 20:57:55 | relearned | 1 | 81242 | 2 | 1.313 | 61875.1 |
435 | 2024-09-04 18:32:04 | relearned | 1 | 81242 | 2 | 4.733 | 17165.0 |
434 | 2024-09-02 09:39:57 | relearned | 1 | 81242 | 2 | 10.653 | 7626.2 |
433 | 2024-08-31 05:37:56 | relearned | 1 | 81242 | 2 | 6.626 | 12261.1 |
432 | 2024-08-21 15:08:58 | relearned | 1 | 81242 | 2 | 13.583 | 5981.2 |
431 | 2024-08-10 02:42:42 | relearned | 2 | 121436 | 12 | 18.406 | 6597.6 |
430 | 2024-08-09 12:44:34 | relearned | 1 | 81242 | 2 | 3.030 | 26812.5 |
429 | 2024-08-07 22:14:02 | relearned | 2 | 121436 | 12 | 11.030 | 11009.6 |
428 | 2024-08-02 16:49:06 | relearned | 2 | 121436 | 12 | 11.280 | 10765.6 |
427 | 2024-08-02 16:35:41 | relearned | 1 | 81242 | 2 | 1.550 | 52414.2 |
426 | 2024-07-31 23:25:31 | relearned | 1 | 81242 | 2 | 4.876 | 16661.6 |
425 | 2024-07-31 14:06:44 | relearned | 1 | 81242 | 2 | 5.843 | 13904.2 |
424 | 2024-07-11 02:45:18 | relearned | 3 | 148641 | 107 | 26.736 | 5559.6 |
423 | 2024-07-10 13:06:11 | relearned | 3 | 148641 | 107 | 29.766 | 4993.7 |
422 | 2024-07-10 11:38:33 | relearned | 3 | 148641 | 107 | 27.756 | 5355.3 |