History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"were"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
3623 | 2025-08-31 20:47:33 | were | 1 | 13983 | 16 | 0.216 | 64736.1 |
3622 | 2025-08-31 20:42:48 | were | 1 | 13983 | 16 | 0.216 | 64736.1 |
3621 | 2025-08-31 19:12:17 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3620 | 2025-08-31 10:33:09 | were | 1 | 13983 | 16 | 0.216 | 64736.1 |
3619 | 2025-08-28 11:44:58 | were | 1 | 13983 | 16 | 0.266 | 52567.7 |
3618 | 2025-08-28 06:13:49 | were | 2 | 29872 | 311 | 0.796 | 37527.6 |
3617 | 2025-08-28 01:04:35 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3616 | 2025-08-28 00:01:25 | were | 2 | 29872 | 311 | 0.936 | 31914.5 |
3615 | 2025-08-27 21:03:14 | were | 1 | 13983 | 16 | 0.236 | 59250.0 |
3614 | 2025-08-27 11:41:31 | were | 2 | 29872 | 311 | 0.860 | 34734.9 |
3613 | 2025-08-27 06:01:51 | were | 1 | 13983 | 16 | 0.263 | 53167.3 |
3612 | 2025-08-27 04:48:03 | were | 2 | 29872 | 311 | 1.766 | 16915.1 |
3611 | 2025-08-27 02:39:13 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3610 | 2025-08-26 18:00:09 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3609 | 2025-08-26 17:18:20 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3608 | 2025-08-26 11:55:11 | were | 1 | 13983 | 16 | 1.140 | 12265.8 |
3607 | 2025-08-26 05:27:24 | were | 1 | 13983 | 16 | 0.266 | 52567.7 |
3606 | 2025-08-26 03:44:17 | were | 1 | 13983 | 16 | 0.236 | 59250.0 |
3605 | 2025-08-24 09:25:50 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3604 | 2025-08-24 06:52:50 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
3603 | 2025-08-23 17:30:42 | were | 1 | 13983 | 16 | 0.673 | 20777.1 |
3602 | 2025-08-22 05:48:09 | were | 1 | 13983 | 16 | 0.216 | 64736.1 |
3601 | 2025-08-22 05:18:09 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3600 | 2025-08-21 18:39:02 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
3599 | 2025-08-20 02:16:47 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3598 | 2025-08-17 02:51:03 | were | 1 | 13983 | 16 | 0.656 | 21315.5 |
3597 | 2025-08-14 19:23:59 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
3596 | 2025-08-14 06:15:10 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3595 | 2025-08-12 09:08:23 | were | 2 | 29872 | 311 | 2.110 | 14157.3 |
3594 | 2025-08-11 09:38:06 | were | 2 | 29872 | 311 | 3.690 | 8095.4 |
3593 | 2025-08-11 09:33:16 | were | 1 | 13983 | 16 | 0.843 | 16587.2 |
3592 | 2025-08-10 13:50:33 | were | 1 | 13983 | 16 | 0.266 | 52567.7 |
3591 | 2025-08-08 23:35:15 | were | 1 | 13983 | 16 | 0.470 | 29751.1 |
3590 | 2025-08-06 00:24:10 | were | 2 | 29872 | 311 | 4.063 | 7352.2 |
3589 | 2025-08-04 16:04:49 | were | 1 | 13983 | 16 | 0.656 | 21315.5 |
3588 | 2025-08-03 19:26:36 | were | 2 | 29872 | 311 | 4.030 | 7412.4 |
3587 | 2025-08-03 06:52:16 | were | 1 | 13983 | 16 | 0.216 | 64736.1 |
3586 | 2025-08-01 23:21:54 | were | 2 | 29872 | 311 | 1.766 | 16915.1 |
3585 | 2025-07-31 16:24:38 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
3584 | 2025-07-31 13:10:46 | were | 2 | 29872 | 311 | 0.940 | 31778.7 |
3583 | 2025-07-31 12:19:25 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3582 | 2025-07-31 03:23:53 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3581 | 2025-07-30 23:57:24 | were | 1 | 13983 | 16 | 0.936 | 14939.1 |
3580 | 2025-07-30 23:10:26 | were | 1 | 13983 | 16 | 0.520 | 26890.4 |
3579 | 2025-07-30 07:19:00 | were | 2 | 29872 | 311 | 2.063 | 14479.9 |
3578 | 2025-07-27 12:12:15 | were | 1 | 13983 | 16 | 0.266 | 52567.7 |
3577 | 2025-07-27 05:00:54 | were | 1 | 13983 | 16 | 0.623 | 22444.6 |
3576 | 2025-07-26 23:40:06 | were | 1 | 13983 | 16 | 1.106 | 12642.9 |
3575 | 2025-07-26 19:28:56 | were | 1 | 13983 | 16 | 0.483 | 28950.3 |
3574 | 2025-07-26 09:26:19 | were | 1 | 13983 | 16 | 1.356 | 10311.9 |
3573 | 2025-07-26 09:00:32 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3572 | 2025-07-24 05:20:36 | were | 1 | 13983 | 16 | 0.283 | 49409.9 |
3571 | 2025-07-24 01:12:56 | were | 2 | 29872 | 311 | 2.406 | 12415.6 |
3570 | 2025-07-23 16:52:22 | were | 1 | 13983 | 16 | 0.920 | 15198.9 |
3569 | 2025-07-22 23:53:07 | were | 1 | 13983 | 16 | 1.046 | 13368.1 |
3568 | 2025-07-21 11:16:35 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3567 | 2025-07-20 02:44:58 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
3566 | 2025-07-19 23:20:13 | were | 1 | 13983 | 16 | 0.393 | 35580.2 |
3565 | 2025-07-19 23:05:57 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3564 | 2025-07-19 01:00:23 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3563 | 2025-07-18 03:50:22 | were | 2 | 29872 | 311 | 4.076 | 7328.8 |
3562 | 2025-07-18 02:05:33 | were | 1 | 13983 | 16 | 1.203 | 11623.4 |
3561 | 2025-07-16 16:55:01 | were | 2 | 29872 | 311 | 0.936 | 31914.5 |
3560 | 2025-07-16 10:41:28 | were | 1 | 13983 | 16 | 0.686 | 20383.4 |
3559 | 2025-07-16 02:14:30 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3558 | 2025-07-15 01:28:11 | were | 1 | 13983 | 16 | 0.923 | 15149.5 |
3557 | 2025-07-13 21:28:28 | were | 1 | 13983 | 16 | 1.326 | 10545.2 |
3556 | 2025-07-13 14:05:30 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3555 | 2025-07-13 13:05:31 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
3554 | 2025-07-12 03:47:55 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
3553 | 2025-07-11 23:27:26 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3552 | 2025-07-11 08:54:07 | were | 2 | 29872 | 311 | 4.360 | 6851.4 |
3551 | 2025-07-10 07:02:18 | were | 2 | 29872 | 311 | 4.750 | 6288.8 |
3550 | 2025-07-09 16:51:04 | were | 1 | 13983 | 16 | 0.216 | 64736.1 |
3549 | 2025-07-09 08:41:03 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
3548 | 2025-07-09 08:11:52 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3547 | 2025-07-09 03:31:25 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
3546 | 2025-07-08 21:15:58 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3545 | 2025-07-07 14:03:26 | were | 1 | 13983 | 16 | 1.423 | 9826.4 |
3544 | 2025-07-07 00:10:07 | were | 1 | 13983 | 16 | 1.403 | 9966.5 |
3543 | 2025-07-06 22:12:32 | were | 1 | 13983 | 16 | 2.436 | 5740.1 |
3542 | 2025-07-06 16:23:52 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
3541 | 2025-07-06 16:23:51 | were | 1 | 13983 | 16 | 0.233 | 60012.9 |
3540 | 2025-07-04 18:58:21 | were | 1 | 13983 | 16 | 1.390 | 10059.7 |
3539 | 2025-07-03 18:56:58 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
3538 | 2025-07-03 18:04:50 | were | 1 | 13983 | 16 | 0.263 | 53167.3 |
3537 | 2025-07-03 09:29:02 | were | 2 | 29872 | 311 | 0.766 | 38997.4 |
3536 | 2025-07-03 03:18:12 | were | 1 | 13983 | 16 | 0.953 | 14672.6 |
3535 | 2025-07-02 17:01:21 | were | 2 | 29872 | 311 | 4.093 | 7298.3 |
3534 | 2025-07-01 07:37:43 | were | 1 | 13983 | 16 | 0.220 | 63559.1 |
3533 | 2025-06-30 20:46:48 | were | 1 | 13983 | 16 | 0.923 | 15149.5 |
3532 | 2025-06-30 15:59:51 | were | 1 | 13983 | 16 | 0.670 | 20870.1 |
3531 | 2025-06-30 10:52:27 | were | 2 | 29872 | 311 | 4.560 | 6550.9 |
3530 | 2025-06-30 09:32:19 | were | 1 | 13983 | 16 | 0.686 | 20383.4 |
3529 | 2025-06-29 18:46:14 | were | 1 | 13983 | 16 | 0.250 | 55932.0 |
3528 | 2025-06-28 22:26:37 | were | 1 | 13983 | 16 | 0.266 | 52567.7 |
3527 | 2025-06-28 06:53:40 | were | 1 | 13983 | 16 | 1.156 | 12096.0 |
3526 | 2025-06-28 05:11:52 | were | 1 | 13983 | 16 | 1.110 | 12597.3 |
3525 | 2025-06-28 02:21:00 | were | 1 | 13983 | 16 | 1.266 | 11045.0 |
3524 | 2025-06-27 18:08:26 | were | 2 | 29872 | 311 | 0.733 | 40753.1 |