History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coarsens"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
567 | 2025-08-30 21:51:05 | coarsens | 1 | 82945 | 3 | 1.453 | 57085.3 |
566 | 2025-08-15 14:21:58 | coarsens | 1 | 82945 | 3 | 3.360 | 24686.0 |
565 | 2025-08-06 22:34:19 | coarsens | 2 | 121059 | 18 | 13.546 | 8936.9 |
564 | 2025-07-31 20:18:35 | coarsens | 3 | 146162 | 218 | 20.343 | 7184.9 |
563 | 2025-07-29 22:04:38 | coarsens | 2 | 121059 | 18 | 18.750 | 6456.5 |
562 | 2025-07-29 22:00:59 | coarsens | 3 | 146162 | 218 | 47.503 | 3076.9 |
561 | 2025-07-27 17:41:56 | coarsens | 1 | 82945 | 3 | 3.360 | 24686.0 |
560 | 2025-07-25 18:29:06 | coarsens | 1 | 82945 | 3 | 1.360 | 60989.0 |
559 | 2025-07-24 15:41:21 | coarsens | 1 | 82945 | 3 | 3.843 | 21583.4 |
558 | 2025-07-24 14:16:00 | coarsens | 1 | 82945 | 3 | 6.403 | 12954.1 |
557 | 2025-07-17 23:53:44 | coarsens | 3 | 146162 | 218 | 35.970 | 4063.4 |
556 | 2025-07-17 23:34:26 | coarsens | 2 | 121059 | 18 | 9.343 | 12957.2 |
555 | 2025-07-16 12:57:17 | coarsens | 1 | 82945 | 3 | 6.156 | 13473.8 |
554 | 2025-07-15 22:42:42 | coarsens | 3 | 146162 | 218 | 20.816 | 7021.6 |
553 | 2025-07-15 21:29:43 | coarsens | 2 | 121059 | 18 | 4.046 | 29920.7 |
552 | 2025-07-10 21:17:18 | coarsens | 1 | 82945 | 3 | 7.156 | 11591.0 |
551 | 2025-07-04 13:53:48 | coarsens | 1 | 82945 | 3 | 4.013 | 20669.1 |
550 | 2025-06-24 11:42:57 | coarsens | 1 | 82945 | 3 | 6.030 | 13755.4 |
549 | 2025-06-23 11:33:15 | coarsens | 1 | 82945 | 3 | 5.656 | 14665.0 |
548 | 2025-06-17 00:10:28 | coarsens | 2 | 121059 | 18 | 20.380 | 5940.1 |
547 | 2025-06-17 00:01:53 | coarsens | 3 | 146162 | 218 | 31.703 | 4610.4 |
546 | 2025-06-14 11:31:54 | coarsens | 1 | 82945 | 3 | 7.436 | 11154.5 |
545 | 2025-06-12 09:21:56 | coarsens | 3 | 146162 | 218 | 20.096 | 7273.2 |
544 | 2025-06-12 03:47:24 | coarsens | 2 | 121059 | 18 | 17.970 | 6736.7 |
543 | 2025-06-11 12:02:48 | coarsens | 3 | 146162 | 218 | 37.783 | 3868.5 |
542 | 2025-06-10 22:36:02 | coarsens | 2 | 121059 | 18 | 16.186 | 7479.2 |
541 | 2025-06-04 14:39:21 | coarsens | 1 | 82945 | 3 | 4.796 | 17294.6 |
540 | 2025-06-02 15:59:34 | coarsens | 1 | 82945 | 3 | 6.626 | 12518.1 |
539 | 2025-05-31 19:42:57 | coarsens | 1 | 82945 | 3 | 7.813 | 10616.3 |
538 | 2025-05-26 10:26:16 | coarsens | 1 | 82945 | 3 | 7.813 | 10616.3 |
537 | 2025-05-26 00:47:42 | coarsens | 3 | 146162 | 218 | 38.750 | 3771.9 |
536 | 2025-05-25 10:19:14 | coarsens | 1 | 82945 | 3 | 7.186 | 11542.6 |
535 | 2025-05-22 11:58:18 | coarsens | 1 | 82945 | 3 | 7.483 | 11084.5 |
534 | 2025-05-15 12:00:05 | coarsens | 1 | 82945 | 3 | 4.220 | 19655.2 |
533 | 2025-05-13 22:51:42 | coarsens | 3 | 146162 | 218 | 51.126 | 2858.9 |
532 | 2025-05-13 17:33:50 | coarsens | 1 | 82945 | 3 | 1.530 | 54212.4 |
531 | 2025-05-13 02:05:31 | coarsens | 3 | 146162 | 218 | 14.830 | 9855.8 |
530 | 2025-05-12 08:27:39 | coarsens | 3 | 146162 | 218 | 34.143 | 4280.9 |
529 | 2025-05-10 20:33:25 | coarsens | 3 | 146162 | 218 | 37.593 | 3888.0 |
528 | 2025-05-07 08:01:10 | coarsens | 1 | 82945 | 3 | 1.530 | 54212.4 |
527 | 2025-05-01 11:01:46 | coarsens | 1 | 82945 | 3 | 7.063 | 11743.6 |
526 | 2025-04-24 06:00:47 | coarsens | 3 | 146162 | 218 | 32.896 | 4443.2 |
525 | 2025-04-23 10:45:12 | coarsens | 3 | 146162 | 218 | 31.593 | 4626.4 |
524 | 2025-04-21 17:52:12 | coarsens | 3 | 146162 | 218 | 28.703 | 5092.2 |
523 | 2025-04-21 08:49:15 | coarsens | 2 | 121059 | 18 | 25.233 | 4797.6 |
522 | 2025-04-21 08:37:05 | coarsens | 3 | 146162 | 218 | 46.550 | 3139.9 |
521 | 2025-04-20 23:20:01 | coarsens | 3 | 146162 | 218 | 48.800 | 2995.1 |
520 | 2025-04-20 14:11:30 | coarsens | 1 | 82945 | 3 | 1.470 | 56425.2 |
519 | 2025-04-20 10:20:59 | coarsens | 1 | 82945 | 3 | 4.796 | 17294.6 |
518 | 2025-04-20 09:58:14 | coarsens | 1 | 82945 | 3 | 7.783 | 10657.2 |
517 | 2025-04-17 12:36:29 | coarsens | 2 | 121059 | 18 | 3.940 | 30725.6 |
516 | 2025-04-15 11:08:43 | coarsens | 1 | 82945 | 3 | 7.330 | 11315.8 |
515 | 2025-04-06 09:36:09 | coarsens | 1 | 82945 | 3 | 7.343 | 11295.8 |
514 | 2025-04-03 07:22:07 | coarsens | 2 | 121059 | 18 | 3.250 | 37248.9 |
513 | 2025-04-03 06:41:04 | coarsens | 3 | 146162 | 218 | 8.080 | 18089.4 |
512 | 2025-04-01 01:41:53 | coarsens | 3 | 146162 | 218 | 43.190 | 3384.2 |
511 | 2025-03-31 13:12:49 | coarsens | 1 | 82945 | 3 | 10.140 | 8180.0 |
510 | 2025-03-22 06:40:52 | coarsens | 3 | 146162 | 218 | 37.706 | 3876.4 |
509 | 2025-03-20 22:36:32 | coarsens | 3 | 146162 | 218 | 28.126 | 5196.7 |
508 | 2025-03-20 18:34:36 | coarsens | 1 | 82945 | 3 | 9.330 | 8890.1 |
507 | 2025-03-20 16:21:53 | coarsens | 1 | 82945 | 3 | 4.766 | 17403.5 |
506 | 2025-03-20 13:02:40 | coarsens | 1 | 82945 | 3 | 6.593 | 12580.8 |
505 | 2025-03-20 10:08:15 | coarsens | 3 | 146162 | 218 | 41.483 | 3523.4 |
504 | 2025-03-19 23:59:17 | coarsens | 3 | 146162 | 218 | 40.783 | 3583.9 |
503 | 2025-03-18 14:00:35 | coarsens | 3 | 146162 | 218 | 6.406 | 22816.4 |
502 | 2025-03-17 08:26:12 | coarsens | 2 | 121059 | 18 | 19.300 | 6272.5 |
501 | 2025-03-15 23:33:07 | coarsens | 2 | 121059 | 18 | 11.730 | 10320.5 |
500 | 2025-03-13 00:33:56 | coarsens | 1 | 82945 | 3 | 12.486 | 6643.0 |
499 | 2025-03-09 04:59:41 | coarsens | 1 | 82945 | 3 | 8.716 | 9516.4 |
498 | 2025-02-28 19:59:37 | coarsens | 2 | 121059 | 18 | 19.673 | 6153.6 |
497 | 2025-02-26 05:01:35 | coarsens | 1 | 82945 | 3 | 9.186 | 9029.5 |
496 | 2025-02-19 22:14:29 | coarsens | 2 | 121059 | 18 | 31.486 | 3844.9 |
495 | 2025-02-14 07:11:20 | coarsens | 3 | 146162 | 218 | 21.406 | 6828.1 |
494 | 2025-02-06 14:05:13 | coarsens | 3 | 146162 | 218 | 41.330 | 3536.5 |
493 | 2025-02-05 01:26:31 | coarsens | 3 | 146162 | 218 | 28.326 | 5160.0 |
492 | 2025-02-04 21:14:26 | coarsens | 3 | 146162 | 218 | 36.063 | 4053.0 |
491 | 2025-01-29 20:30:15 | coarsens | 3 | 146162 | 218 | 45.266 | 3229.0 |
490 | 2025-01-29 20:30:13 | coarsens | 2 | 121059 | 18 | 18.390 | 6582.9 |
489 | 2025-01-29 20:29:35 | coarsens | 1 | 82945 | 3 | 9.063 | 9152.0 |
488 | 2025-01-26 21:32:59 | coarsens | 1 | 82945 | 3 | 3.546 | 23391.1 |
487 | 2025-01-23 21:55:14 | coarsens | 1 | 82945 | 3 | 5.236 | 15841.3 |
486 | 2025-01-07 17:01:16 | coarsens | 2 | 121059 | 18 | 9.376 | 12911.6 |
485 | 2025-01-06 18:45:05 | coarsens | 2 | 121059 | 18 | 20.283 | 5968.5 |
484 | 2025-01-06 18:16:08 | coarsens | 3 | 146162 | 218 | 39.326 | 3716.7 |
483 | 2025-01-05 21:10:01 | coarsens | 2 | 121059 | 18 | 3.876 | 31233.0 |
482 | 2025-01-05 21:09:48 | coarsens | 3 | 146162 | 218 | 7.903 | 18494.5 |
481 | 2025-01-05 05:34:36 | coarsens | 3 | 146162 | 218 | 31.960 | 4573.3 |
480 | 2024-12-30 19:06:07 | coarsens | 1 | 82945 | 3 | 3.530 | 23497.2 |
479 | 2024-12-28 13:22:17 | coarsens | 1 | 82945 | 3 | 4.186 | 19814.9 |
478 | 2024-12-26 21:31:57 | coarsens | 3 | 146162 | 218 | 11.436 | 12780.9 |
477 | 2024-12-25 10:13:00 | coarsens | 1 | 82945 | 3 | 5.626 | 14743.2 |
476 | 2024-12-25 01:55:18 | coarsens | 3 | 146162 | 218 | 40.726 | 3588.9 |
475 | 2024-12-24 13:39:53 | coarsens | 3 | 146162 | 218 | 26.160 | 5587.2 |
474 | 2024-12-15 17:21:24 | coarsens | 1 | 82945 | 3 | 10.860 | 7637.7 |
473 | 2024-11-30 08:35:35 | coarsens | 3 | 146162 | 218 | 42.406 | 3446.7 |
472 | 2024-11-30 01:02:03 | coarsens | 3 | 146162 | 218 | 29.690 | 4922.9 |
471 | 2024-11-29 20:58:45 | coarsens | 3 | 146162 | 218 | 39.313 | 3717.9 |
470 | 2024-11-29 20:58:47 | coarsens | 2 | 121059 | 18 | 18.266 | 6627.6 |
469 | 2024-11-29 20:58:27 | coarsens | 1 | 82945 | 3 | 3.796 | 21850.6 |
468 | 2024-11-19 03:13:45 | coarsens | 1 | 82945 | 3 | 11.736 | 7067.6 |