History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"adverseness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 614 | 2025-11-13 07:32:41 | adverseness | 4 | 148819 | 65 | 15.830 | 9401.1 |
| 613 | 2025-11-06 21:53:22 | adverseness | 2 | 86808 | 4 | 9.143 | 9494.5 |
| 612 | 2025-11-03 23:24:27 | adverseness | 4 | 148819 | 65 | 8.050 | 18486.8 |
| 611 | 2025-10-30 14:35:10 | adverseness | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 610 | 2025-10-29 01:28:25 | adverseness | 4 | 148819 | 65 | 10.780 | 13805.1 |
| 609 | 2025-10-26 13:45:28 | adverseness | 4 | 148819 | 65 | 8.173 | 18208.6 |
| 608 | 2025-09-28 20:57:47 | adverseness | 5 | 164607 | 462 | 14.343 | 11476.5 |
| 607 | 2025-09-26 02:40:35 | adverseness | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 606 | 2025-09-18 00:31:51 | adverseness | 5 | 164607 | 462 | 16.233 | 10140.3 |
| 605 | 2025-09-15 11:08:41 | adverseness | 5 | 164607 | 462 | 15.420 | 10674.9 |
| 604 | 2025-09-13 21:28:40 | adverseness | 4 | 148819 | 65 | 10.673 | 13943.5 |
| 603 | 2025-09-13 05:46:24 | adverseness | 3 | 121633 | 13 | 4.736 | 25682.6 |
| 602 | 2025-09-13 03:43:51 | adverseness | 2 | 86808 | 4 | 2.376 | 36535.4 |
| 601 | 2025-09-12 21:34:29 | adverseness | 5 | 164607 | 462 | 15.250 | 10793.9 |
| 600 | 2025-08-26 23:36:20 | adverseness | 4 | 148819 | 65 | 9.300 | 16002.0 |
| 599 | 2025-08-24 23:20:19 | adverseness | 1 | 49908 | 2 | 3.953 | 12625.3 |
| 598 | 2025-08-20 23:20:45 | adverseness | 1 | 49908 | 2 | 2.143 | 23288.8 |
| 597 | 2025-08-19 07:21:13 | adverseness | 1 | 49908 | 2 | 1.593 | 31329.6 |
| 596 | 2025-08-16 23:55:12 | adverseness | 4 | 148819 | 65 | 29.406 | 5060.8 |
| 595 | 2025-08-15 06:09:10 | adverseness | 1 | 49908 | 2 | 4.843 | 10305.2 |
| 594 | 2025-08-13 16:13:44 | adverseness | 4 | 148819 | 65 | 38.580 | 3857.4 |
| 593 | 2025-08-13 08:50:03 | adverseness | 4 | 148819 | 65 | 40.006 | 3719.9 |
| 592 | 2025-08-12 23:37:08 | adverseness | 2 | 86808 | 4 | 11.626 | 7466.7 |
| 591 | 2025-08-12 23:36:44 | adverseness | 2 | 86808 | 4 | 9.626 | 9018.1 |
| 590 | 2025-08-10 23:32:25 | adverseness | 1 | 49908 | 2 | 1.983 | 25167.9 |
| 589 | 2025-08-09 06:07:14 | adverseness | 2 | 86808 | 4 | 12.610 | 6884.1 |
| 588 | 2025-08-09 05:45:16 | adverseness | 1 | 49908 | 2 | 2.403 | 20769.0 |
| 587 | 2025-08-07 00:48:47 | adverseness | 4 | 148819 | 65 | 46.546 | 3197.2 |
| 586 | 2025-08-05 05:26:59 | adverseness | 4 | 148819 | 65 | 23.813 | 6249.5 |
| 585 | 2025-08-02 12:01:37 | adverseness | 2 | 86808 | 4 | 13.220 | 6566.4 |
| 584 | 2025-08-01 16:46:57 | adverseness | 4 | 148819 | 65 | 26.360 | 5645.6 |
| 583 | 2025-08-01 10:18:22 | adverseness | 2 | 86808 | 4 | 6.423 | 13515.2 |
| 582 | 2025-07-28 08:15:44 | adverseness | 2 | 86808 | 4 | 5.546 | 15652.4 |
| 581 | 2025-07-27 14:03:20 | adverseness | 4 | 148819 | 65 | 23.250 | 6400.8 |
| 580 | 2025-07-26 19:51:39 | adverseness | 1 | 49908 | 2 | 5.110 | 9766.7 |
| 579 | 2025-07-24 07:28:20 | adverseness | 4 | 148819 | 65 | 33.813 | 4401.2 |
| 578 | 2025-07-24 04:28:42 | adverseness | 1 | 49908 | 2 | 4.170 | 11968.3 |
| 577 | 2025-07-17 16:58:48 | adverseness | 3 | 121633 | 13 | 13.000 | 9356.4 |
| 576 | 2025-07-17 05:05:47 | adverseness | 4 | 148819 | 65 | 31.763 | 4685.3 |
| 575 | 2025-07-16 23:37:06 | adverseness | 1 | 49908 | 2 | 1.436 | 34754.9 |
| 574 | 2025-07-10 23:14:37 | adverseness | 1 | 49908 | 2 | 5.610 | 8896.3 |
| 573 | 2025-07-10 23:05:42 | adverseness | 1 | 49908 | 2 | 2.250 | 22181.3 |
| 572 | 2025-07-10 16:54:14 | adverseness | 3 | 121633 | 13 | 20.923 | 5813.4 |
| 571 | 2025-07-10 15:33:11 | adverseness | 3 | 121633 | 13 | 36.910 | 3295.4 |
| 570 | 2025-07-08 14:05:28 | adverseness | 3 | 121633 | 13 | 33.096 | 3675.2 |
| 569 | 2025-07-08 08:16:04 | adverseness | 4 | 148819 | 65 | 33.956 | 4382.7 |
| 568 | 2025-07-05 11:22:43 | adverseness | 4 | 148819 | 65 | 60.206 | 2471.8 |
| 567 | 2025-07-04 05:33:29 | adverseness | 3 | 121633 | 13 | 26.190 | 4644.3 |
| 566 | 2025-07-03 07:31:50 | adverseness | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 565 | 2025-06-29 17:34:11 | adverseness | 1 | 49908 | 2 | 1.330 | 37524.8 |
| 564 | 2025-06-27 04:22:16 | adverseness | 4 | 148819 | 65 | 40.050 | 3715.8 |
| 563 | 2025-06-25 23:56:04 | adverseness | 4 | 148819 | 65 | 51.206 | 2906.3 |
| 562 | 2025-06-25 11:35:44 | adverseness | 4 | 148819 | 65 | 50.083 | 2971.4 |
| 561 | 2025-06-23 13:35:16 | adverseness | 4 | 148819 | 65 | 44.236 | 3364.2 |
| 560 | 2025-06-22 23:35:27 | adverseness | 3 | 121633 | 13 | 17.500 | 6950.5 |
| 559 | 2025-06-21 15:02:20 | adverseness | 4 | 148819 | 65 | 40.000 | 3720.5 |
| 558 | 2025-06-21 09:01:22 | adverseness | 3 | 121633 | 13 | 35.613 | 3415.4 |
| 557 | 2025-06-21 08:40:07 | adverseness | 2 | 86808 | 4 | 11.736 | 7396.7 |
| 556 | 2025-06-21 07:52:04 | adverseness | 5 | 164607 | 462 | 13.046 | 12617.4 |
| 555 | 2025-06-19 19:09:52 | adverseness | 1 | 49908 | 2 | 2.000 | 24954.0 |
| 554 | 2025-06-14 00:38:45 | adverseness | 1 | 49908 | 2 | 4.110 | 12143.1 |
| 553 | 2025-05-29 08:16:51 | adverseness | 3 | 121633 | 13 | 34.486 | 3527.0 |
| 552 | 2025-05-28 11:08:41 | adverseness | 1 | 49908 | 2 | 1.126 | 44323.3 |
| 551 | 2025-05-27 22:04:08 | adverseness | 2 | 86808 | 4 | 2.313 | 37530.5 |
| 550 | 2025-05-27 17:12:37 | adverseness | 1 | 49908 | 2 | 0.810 | 61614.8 |
| 549 | 2025-05-27 16:12:10 | adverseness | 4 | 148819 | 65 | 8.893 | 16734.4 |
| 548 | 2025-05-22 14:28:05 | adverseness | 4 | 148819 | 65 | 63.923 | 2328.1 |
| 547 | 2025-05-21 14:54:16 | adverseness | 4 | 148819 | 65 | 39.536 | 3764.1 |
| 546 | 2025-05-21 09:57:22 | adverseness | 3 | 121633 | 13 | 12.256 | 9924.4 |
| 545 | 2025-05-21 08:26:02 | adverseness | 2 | 86808 | 4 | 10.140 | 8560.9 |
| 544 | 2025-05-21 08:14:42 | adverseness | 5 | 164607 | 462 | 88.116 | 1868.1 |
| 543 | 2025-05-19 19:03:44 | adverseness | 1 | 49908 | 2 | 0.733 | 68087.3 |
| 542 | 2025-05-13 23:40:36 | adverseness | 1 | 49908 | 2 | 4.156 | 12008.7 |
| 541 | 2025-05-12 03:34:57 | adverseness | 2 | 86808 | 4 | 10.686 | 8123.5 |
| 540 | 2025-05-12 02:19:40 | adverseness | 4 | 148819 | 65 | 28.410 | 5238.3 |
| 539 | 2025-05-11 07:14:00 | adverseness | 1 | 49908 | 2 | 2.266 | 22024.7 |
| 538 | 2025-05-11 01:31:01 | adverseness | 4 | 148819 | 65 | 46.283 | 3215.4 |
| 537 | 2025-05-10 17:23:19 | adverseness | 4 | 148819 | 65 | 52.970 | 2809.5 |
| 536 | 2025-05-08 09:32:45 | adverseness | 4 | 148819 | 65 | 66.393 | 2241.5 |
| 535 | 2025-05-07 22:00:33 | adverseness | 4 | 148819 | 65 | 37.533 | 3965.0 |
| 534 | 2025-05-05 00:42:19 | adverseness | 4 | 148819 | 65 | 7.860 | 18933.7 |
| 533 | 2025-05-04 15:47:06 | adverseness | 1 | 49908 | 2 | 7.640 | 6532.5 |
| 532 | 2025-05-01 14:43:43 | adverseness | 1 | 49908 | 2 | 4.140 | 12055.1 |
| 531 | 2025-04-25 23:13:11 | adverseness | 1 | 49908 | 2 | 3.310 | 15077.9 |
| 530 | 2025-04-20 13:51:41 | adverseness | 4 | 148819 | 65 | 52.220 | 2849.8 |
| 529 | 2025-04-19 08:22:10 | adverseness | 3 | 121633 | 13 | 4.530 | 26850.6 |
| 528 | 2025-04-19 06:36:41 | adverseness | 2 | 86808 | 4 | 2.436 | 35635.5 |
| 527 | 2025-04-17 18:54:54 | adverseness | 1 | 49908 | 2 | 1.983 | 25167.9 |
| 526 | 2025-04-12 13:44:58 | adverseness | 3 | 121633 | 13 | 29.206 | 4164.7 |
| 525 | 2025-04-09 10:20:40 | adverseness | 4 | 148819 | 65 | 42.163 | 3529.6 |
| 524 | 2025-04-06 20:00:19 | adverseness | 4 | 148819 | 65 | 44.796 | 3322.1 |
| 523 | 2025-04-06 11:05:00 | adverseness | 3 | 121633 | 13 | 22.550 | 5393.9 |
| 522 | 2025-04-06 00:22:27 | adverseness | 2 | 86808 | 4 | 17.220 | 5041.1 |
| 521 | 2025-04-04 21:16:08 | adverseness | 5 | 164607 | 462 | 89.393 | 1841.4 |
| 520 | 2025-04-03 08:02:43 | adverseness | 4 | 148819 | 65 | 9.766 | 15238.5 |
| 519 | 2025-04-01 23:28:52 | adverseness | 1 | 49908 | 2 | 3.576 | 13956.4 |
| 518 | 2025-03-31 21:50:33 | adverseness | 5 | 164607 | 462 | 55.190 | 2982.6 |
| 517 | 2025-03-31 09:40:36 | adverseness | 5 | 164607 | 462 | 72.723 | 2263.5 |
| 516 | 2025-03-31 00:57:16 | adverseness | 5 | 164607 | 462 | 45.753 | 3597.7 |
| 515 | 2025-03-30 10:12:17 | adverseness | 5 | 164607 | 462 | 16.080 | 10236.8 |