History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"torso"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 3629 | 2025-11-27 21:50:08 | torso | 3 | 83667 | 1321 | 7.190 | 11636.6 |
| 3628 | 2025-11-26 09:28:25 | torso | 3 | 83667 | 1321 | 6.800 | 12304.0 |
| 3627 | 2025-11-25 20:10:47 | torso | 1 | 28756 | 8 | 0.486 | 59168.7 |
| 3626 | 2025-11-25 08:40:54 | torso | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 3625 | 2025-11-25 06:31:00 | torso | 3 | 83667 | 1321 | 4.126 | 20278.0 |
| 3624 | 2025-11-25 02:06:17 | torso | 1 | 28756 | 8 | 1.733 | 16593.2 |
| 3623 | 2025-11-25 02:05:20 | torso | 1 | 28756 | 8 | 1.436 | 20025.1 |
| 3622 | 2025-11-24 16:31:23 | torso | 3 | 83667 | 1321 | 3.813 | 21942.6 |
| 3621 | 2025-11-24 16:30:51 | torso | 2 | 53800 | 96 | 1.826 | 29463.3 |
| 3620 | 2025-11-24 11:48:15 | torso | 1 | 28756 | 8 | 0.530 | 54256.6 |
| 3619 | 2025-11-23 23:38:22 | torso | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 3618 | 2025-11-23 00:07:50 | torso | 1 | 28756 | 8 | 2.936 | 9794.3 |
| 3617 | 2025-11-22 17:04:00 | torso | 3 | 83667 | 1321 | 10.016 | 8353.3 |
| 3616 | 2025-11-20 23:41:55 | torso | 3 | 83667 | 1321 | 5.000 | 16733.4 |
| 3615 | 2025-11-20 16:14:20 | torso | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 3614 | 2025-11-18 15:17:36 | torso | 1 | 28756 | 8 | 0.533 | 53951.2 |
| 3613 | 2025-11-17 11:28:05 | torso | 1 | 28756 | 8 | 0.970 | 29645.4 |
| 3612 | 2025-11-16 17:29:17 | torso | 3 | 83667 | 1321 | 3.970 | 21074.8 |
| 3611 | 2025-11-16 09:16:18 | torso | 3 | 83667 | 1321 | 4.000 | 20916.8 |
| 3610 | 2025-11-15 18:11:31 | torso | 3 | 83667 | 1321 | 4.106 | 20376.8 |
| 3609 | 2025-11-15 09:30:37 | torso | 3 | 83667 | 1321 | 4.250 | 19686.4 |
| 3608 | 2025-11-15 05:25:37 | torso | 1 | 28756 | 8 | 0.530 | 54256.6 |
| 3607 | 2025-11-15 04:57:46 | torso | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 3606 | 2025-11-14 21:10:10 | torso | 1 | 28756 | 8 | 0.530 | 54256.6 |
| 3605 | 2025-11-14 18:17:15 | torso | 3 | 83667 | 1321 | 4.076 | 20526.7 |
| 3604 | 2025-11-14 09:12:38 | torso | 3 | 83667 | 1321 | 6.326 | 13225.9 |
| 3603 | 2025-11-13 17:39:46 | torso | 3 | 83667 | 1321 | 4.673 | 17904.3 |
| 3602 | 2025-11-13 13:36:26 | torso | 3 | 83667 | 1321 | 4.326 | 19340.5 |
| 3601 | 2025-11-13 08:34:49 | torso | 3 | 83667 | 1321 | 3.796 | 22040.8 |
| 3600 | 2025-11-12 08:49:00 | torso | 3 | 83667 | 1321 | 4.033 | 20745.6 |
| 3599 | 2025-11-11 18:11:17 | torso | 1 | 28756 | 8 | 0.550 | 52283.6 |
| 3598 | 2025-11-11 08:48:35 | torso | 3 | 83667 | 1321 | 4.093 | 20441.5 |
| 3597 | 2025-11-11 07:30:00 | torso | 1 | 28756 | 8 | 0.530 | 54256.6 |
| 3596 | 2025-11-10 12:27:13 | torso | 3 | 83667 | 1321 | 4.186 | 19987.3 |
| 3595 | 2025-11-10 08:42:42 | torso | 3 | 83667 | 1321 | 3.596 | 23266.7 |
| 3594 | 2025-11-09 05:33:12 | torso | 3 | 83667 | 1321 | 5.610 | 14913.9 |
| 3593 | 2025-11-08 19:15:42 | torso | 3 | 83667 | 1321 | 3.716 | 22515.3 |
| 3592 | 2025-11-08 03:49:04 | torso | 3 | 83667 | 1321 | 3.513 | 23816.4 |
| 3591 | 2025-11-07 19:09:33 | torso | 3 | 83667 | 1321 | 4.140 | 20209.4 |
| 3590 | 2025-11-06 19:07:45 | torso | 3 | 83667 | 1321 | 4.093 | 20441.5 |
| 3589 | 2025-11-05 19:08:37 | torso | 3 | 83667 | 1321 | 4.203 | 19906.5 |
| 3588 | 2025-11-05 13:13:49 | torso | 3 | 83667 | 1321 | 3.670 | 22797.5 |
| 3587 | 2025-11-05 05:44:28 | torso | 3 | 83667 | 1321 | 3.983 | 21006.0 |
| 3586 | 2025-11-04 14:05:09 | torso | 3 | 83667 | 1321 | 4.830 | 17322.4 |
| 3585 | 2025-11-03 13:56:56 | torso | 3 | 83667 | 1321 | 3.826 | 21868.0 |
| 3584 | 2025-10-30 12:17:15 | torso | 1 | 28756 | 8 | 0.486 | 59168.7 |
| 3583 | 2025-10-28 00:29:23 | torso | 3 | 83667 | 1321 | 3.736 | 22394.8 |
| 3582 | 2025-10-27 23:29:50 | torso | 2 | 53800 | 96 | 1.750 | 30742.9 |
| 3581 | 2025-10-27 19:01:46 | torso | 3 | 83667 | 1321 | 3.940 | 21235.3 |
| 3580 | 2025-10-25 22:33:43 | torso | 2 | 53800 | 96 | 1.576 | 34137.1 |
| 3579 | 2025-10-25 14:07:53 | torso | 3 | 83667 | 1321 | 15.080 | 5548.2 |
| 3578 | 2025-10-25 12:02:52 | torso | 2 | 53800 | 96 | 1.470 | 36598.6 |
| 3577 | 2025-10-25 09:22:22 | torso | 3 | 83667 | 1321 | 3.906 | 21420.1 |
| 3576 | 2025-10-24 23:35:29 | torso | 1 | 28756 | 8 | 0.533 | 53951.2 |
| 3575 | 2025-10-24 10:07:15 | torso | 1 | 28756 | 8 | 0.546 | 52666.7 |
| 3574 | 2025-10-23 06:11:50 | torso | 1 | 28756 | 8 | 1.173 | 24514.9 |
| 3573 | 2025-10-21 20:51:39 | torso | 3 | 83667 | 1321 | 20.330 | 4115.4 |
| 3572 | 2025-10-21 06:32:00 | torso | 1 | 28756 | 8 | 2.000 | 14378.0 |
| 3571 | 2025-10-20 20:59:16 | torso | 3 | 83667 | 1321 | 18.780 | 4455.1 |
| 3570 | 2025-10-19 20:55:27 | torso | 3 | 83667 | 1321 | 17.783 | 4704.9 |
| 3569 | 2025-10-19 10:27:24 | torso | 3 | 83667 | 1321 | 25.626 | 3264.9 |
| 3568 | 2025-10-19 10:27:08 | torso | 3 | 83667 | 1321 | 28.626 | 2922.8 |
| 3567 | 2025-10-18 20:48:09 | torso | 3 | 83667 | 1321 | 4.373 | 19132.6 |
| 3566 | 2025-10-17 20:44:54 | torso | 3 | 83667 | 1321 | 4.156 | 20131.6 |
| 3565 | 2025-10-17 13:03:19 | torso | 1 | 28756 | 8 | 0.513 | 56054.6 |
| 3564 | 2025-10-17 07:44:09 | torso | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 3563 | 2025-10-16 20:48:41 | torso | 3 | 83667 | 1321 | 8.250 | 10141.5 |
| 3562 | 2025-10-14 04:55:46 | torso | 3 | 83667 | 1321 | 4.766 | 17555.0 |
| 3561 | 2025-10-13 23:04:13 | torso | 3 | 83667 | 1321 | 3.970 | 21074.8 |
| 3560 | 2025-10-13 15:32:38 | torso | 3 | 83667 | 1321 | 4.160 | 20112.3 |
| 3559 | 2025-10-13 03:30:56 | torso | 3 | 83667 | 1321 | 3.440 | 24321.8 |
| 3558 | 2025-10-12 21:51:19 | torso | 3 | 83667 | 1321 | 4.173 | 20049.6 |
| 3557 | 2025-10-11 23:06:31 | torso | 3 | 83667 | 1321 | 3.440 | 24321.8 |
| 3556 | 2025-10-11 13:56:07 | torso | 3 | 83667 | 1321 | 4.140 | 20209.4 |
| 3555 | 2025-10-10 04:24:37 | torso | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 3554 | 2025-10-09 01:17:58 | torso | 3 | 83667 | 1321 | 3.873 | 21602.6 |
| 3553 | 2025-10-06 05:47:58 | torso | 3 | 83667 | 1321 | 3.486 | 24000.9 |
| 3552 | 2025-10-06 04:49:49 | torso | 3 | 83667 | 1321 | 4.110 | 20356.9 |
| 3551 | 2025-10-05 16:52:22 | torso | 3 | 83667 | 1321 | 3.966 | 21096.1 |
| 3550 | 2025-10-05 01:04:04 | torso | 3 | 83667 | 1321 | 3.483 | 24021.5 |
| 3549 | 2025-10-02 19:52:10 | torso | 3 | 83667 | 1321 | 3.966 | 21096.1 |
| 3548 | 2025-10-01 19:44:25 | torso | 3 | 83667 | 1321 | 3.673 | 22778.9 |
| 3547 | 2025-10-01 19:35:54 | torso | 3 | 83667 | 1321 | 3.656 | 22884.8 |
| 3546 | 2025-10-01 00:57:47 | torso | 3 | 83667 | 1321 | 3.936 | 21256.9 |
| 3545 | 2025-09-30 19:42:58 | torso | 3 | 83667 | 1321 | 5.656 | 14792.6 |
| 3544 | 2025-09-30 15:13:31 | torso | 1 | 28756 | 8 | 0.470 | 61183.0 |
| 3543 | 2025-09-30 02:24:33 | torso | 3 | 83667 | 1321 | 3.453 | 24230.2 |
| 3542 | 2025-09-29 21:31:35 | torso | 3 | 83667 | 1321 | 4.110 | 20356.9 |
| 3541 | 2025-09-28 23:01:17 | torso | 3 | 83667 | 1321 | 3.626 | 23074.2 |
| 3540 | 2025-09-28 18:21:01 | torso | 3 | 83667 | 1321 | 3.956 | 21149.4 |
| 3539 | 2025-09-27 03:42:03 | torso | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 3538 | 2025-09-26 16:25:55 | torso | 3 | 83667 | 1321 | 3.800 | 22017.6 |
| 3537 | 2025-09-26 10:39:01 | torso | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 3536 | 2025-09-26 10:38:40 | torso | 1 | 28756 | 8 | 0.780 | 36866.7 |
| 3535 | 2025-09-25 21:53:36 | torso | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 3534 | 2025-09-25 19:18:29 | torso | 3 | 83667 | 1321 | 28.783 | 2906.8 |
| 3533 | 2025-09-25 03:05:21 | torso | 3 | 83667 | 1321 | 19.996 | 4184.2 |
| 3532 | 2025-09-23 12:25:31 | torso | 3 | 83667 | 1321 | 4.016 | 20833.4 |
| 3531 | 2025-09-22 20:22:33 | torso | 3 | 83667 | 1321 | 6.106 | 13702.4 |
| 3530 | 2025-09-21 20:22:30 | torso | 3 | 83667 | 1321 | 4.000 | 20916.8 |