History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biometrical"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 625 | 2026-01-01 23:04:44 | biometrical | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 624 | 2025-12-27 02:22:16 | biometrical | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 623 | 2025-12-23 18:06:16 | biometrical | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 622 | 2025-12-13 18:20:26 | biometrical | 4 | 148819 | 59 | 19.623 | 7583.9 |
| 621 | 2025-12-03 12:31:01 | biometrical | 2 | 86808 | 8 | 2.546 | 34095.8 |
| 620 | 2025-10-18 00:56:24 | biometrical | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 619 | 2025-10-11 05:59:20 | biometrical | 3 | 121633 | 16 | 4.406 | 27606.2 |
| 618 | 2025-10-10 07:23:20 | biometrical | 2 | 86808 | 8 | 2.330 | 37256.7 |
| 617 | 2025-09-25 15:18:43 | biometrical | 1 | 49908 | 1 | 2.200 | 22685.5 |
| 616 | 2025-09-25 15:18:35 | biometrical | 1 | 49908 | 1 | 2.563 | 19472.5 |
| 615 | 2025-09-25 15:18:13 | biometrical | 1 | 49908 | 1 | 2.313 | 21577.2 |
| 614 | 2025-09-25 15:18:04 | biometrical | 1 | 49908 | 1 | 3.906 | 12777.3 |
| 613 | 2025-09-21 00:35:00 | biometrical | 2 | 86808 | 8 | 2.300 | 37742.6 |
| 612 | 2025-08-30 15:43:00 | biometrical | 1 | 49908 | 1 | 0.763 | 65410.2 |
| 611 | 2025-08-24 04:37:38 | biometrical | 4 | 148819 | 59 | 74.190 | 2005.9 |
| 610 | 2025-08-21 03:17:55 | biometrical | 3 | 121633 | 16 | 11.610 | 10476.6 |
| 609 | 2025-08-20 22:26:59 | biometrical | 4 | 148819 | 59 | 22.910 | 6495.8 |
| 608 | 2025-08-20 03:11:56 | biometrical | 1 | 49908 | 1 | 0.733 | 68087.3 |
| 607 | 2025-08-19 23:38:44 | biometrical | 4 | 148819 | 59 | 9.986 | 14902.8 |
| 606 | 2025-08-19 02:44:53 | biometrical | 1 | 49908 | 1 | 1.703 | 29305.9 |
| 605 | 2025-08-18 22:20:34 | biometrical | 1 | 49908 | 1 | 1.860 | 26832.3 |
| 604 | 2025-08-17 15:15:46 | biometrical | 1 | 49908 | 1 | 2.033 | 24548.9 |
| 603 | 2025-08-17 08:23:53 | biometrical | 4 | 148819 | 59 | 30.173 | 4932.2 |
| 602 | 2025-08-15 07:57:03 | biometrical | 4 | 148819 | 59 | 32.393 | 4594.2 |
| 601 | 2025-08-10 14:53:59 | biometrical | 1 | 49908 | 1 | 1.703 | 29305.9 |
| 600 | 2025-08-06 02:15:06 | biometrical | 4 | 148819 | 59 | 25.063 | 5937.8 |
| 599 | 2025-08-01 20:51:54 | biometrical | 1 | 49908 | 1 | 2.046 | 24393.0 |
| 598 | 2025-07-21 21:37:03 | biometrical | 1 | 49908 | 1 | 0.876 | 56972.6 |
| 597 | 2025-07-11 02:56:18 | biometrical | 4 | 148819 | 59 | 62.800 | 2369.7 |
| 596 | 2025-07-10 16:34:48 | biometrical | 1 | 49908 | 1 | 3.800 | 13133.7 |
| 595 | 2025-07-10 05:09:31 | biometrical | 1 | 49908 | 1 | 1.796 | 27788.4 |
| 594 | 2025-07-08 00:21:11 | biometrical | 4 | 148819 | 59 | 51.596 | 2884.3 |
| 593 | 2025-06-25 22:02:46 | biometrical | 1 | 49908 | 1 | 3.923 | 12721.9 |
| 592 | 2025-06-20 14:01:26 | biometrical | 4 | 148819 | 59 | 47.113 | 3158.8 |
| 591 | 2025-06-15 10:49:18 | biometrical | 4 | 148819 | 59 | 34.690 | 4290.0 |
| 590 | 2025-06-12 07:36:07 | biometrical | 4 | 148819 | 59 | 48.550 | 3065.3 |
| 589 | 2025-06-11 08:49:54 | biometrical | 4 | 148819 | 59 | 46.753 | 3183.1 |
| 588 | 2025-06-06 00:05:25 | biometrical | 4 | 148819 | 59 | 70.050 | 2124.5 |
| 587 | 2025-06-04 15:21:36 | biometrical | 1 | 49908 | 1 | 5.893 | 8469.0 |
| 586 | 2025-06-01 23:05:05 | biometrical | 4 | 148819 | 59 | 25.360 | 5868.3 |
| 585 | 2025-06-01 03:17:36 | biometrical | 1 | 49908 | 1 | 3.873 | 12886.1 |
| 584 | 2025-05-31 23:20:10 | biometrical | 1 | 49908 | 1 | 3.593 | 13890.3 |
| 583 | 2025-05-30 06:23:39 | biometrical | 1 | 49908 | 1 | 3.203 | 15581.6 |
| 582 | 2025-05-21 21:49:26 | biometrical | 1 | 49908 | 1 | 2.173 | 22967.3 |
| 581 | 2025-05-10 17:40:18 | biometrical | 1 | 49908 | 1 | 2.220 | 22481.1 |
| 580 | 2025-05-04 05:32:52 | biometrical | 1 | 49908 | 1 | 4.373 | 11412.8 |
| 579 | 2025-04-20 14:33:27 | biometrical | 1 | 49908 | 1 | 4.920 | 10143.9 |
| 578 | 2025-04-04 13:21:21 | biometrical | 1 | 49908 | 1 | 3.203 | 15581.6 |
| 577 | 2025-03-27 05:18:04 | biometrical | 1 | 49908 | 1 | 2.266 | 22024.7 |
| 576 | 2025-03-20 17:52:09 | biometrical | 1 | 49908 | 1 | 5.140 | 9709.7 |
| 575 | 2025-03-11 21:15:49 | biometrical | 1 | 49908 | 1 | 3.906 | 12777.3 |
| 574 | 2025-03-06 03:29:47 | biometrical | 1 | 49908 | 1 | 3.656 | 13651.0 |
| 573 | 2025-03-04 10:13:45 | biometrical | 4 | 148819 | 59 | 51.796 | 2873.2 |
| 572 | 2025-03-01 08:39:06 | biometrical | 4 | 148819 | 59 | 47.283 | 3147.4 |
| 571 | 2025-03-01 08:39:08 | biometrical | 3 | 121633 | 16 | 25.500 | 4769.9 |
| 570 | 2025-03-01 08:38:57 | biometrical | 1 | 49908 | 1 | 1.610 | 30998.8 |
| 569 | 2025-03-01 08:37:39 | biometrical | 4 | 148819 | 59 | 54.563 | 2727.5 |
| 568 | 2025-02-16 19:32:51 | biometrical | 2 | 86808 | 8 | 12.203 | 7113.7 |
| 567 | 2025-02-16 03:52:00 | biometrical | 1 | 49908 | 1 | 2.203 | 22654.6 |
| 566 | 2025-02-15 13:42:37 | biometrical | 2 | 86808 | 8 | 12.796 | 6784.0 |
| 565 | 2025-02-14 20:44:54 | biometrical | 4 | 148819 | 59 | 47.063 | 3162.1 |
| 564 | 2025-02-14 20:44:46 | biometrical | 2 | 86808 | 8 | 13.923 | 6234.9 |
| 563 | 2025-02-11 11:26:07 | biometrical | 4 | 148819 | 59 | 27.170 | 5477.3 |
| 562 | 2025-02-11 11:26:06 | biometrical | 2 | 86808 | 8 | 12.833 | 6764.4 |
| 561 | 2025-02-11 10:01:24 | biometrical | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 560 | 2025-01-25 20:24:16 | biometrical | 4 | 148819 | 59 | 50.690 | 2935.9 |
| 559 | 2025-01-25 04:48:32 | biometrical | 1 | 49908 | 1 | 4.356 | 11457.3 |
| 558 | 2025-01-24 03:34:50 | biometrical | 4 | 148819 | 59 | 44.533 | 3341.8 |
| 557 | 2025-01-24 03:34:27 | biometrical | 4 | 148819 | 59 | 26.873 | 5537.9 |
| 556 | 2025-01-24 03:34:04 | biometrical | 1 | 49908 | 1 | 5.580 | 8944.1 |
| 555 | 2025-01-23 03:30:42 | biometrical | 3 | 121633 | 16 | 25.156 | 4835.1 |
| 554 | 2025-01-14 05:40:36 | biometrical | 3 | 121633 | 16 | 28.110 | 4327.0 |
| 553 | 2025-01-14 05:40:37 | biometrical | 2 | 86808 | 8 | 14.140 | 6139.2 |
| 552 | 2025-01-12 19:22:09 | biometrical | 2 | 86808 | 8 | 11.466 | 7570.9 |
| 551 | 2025-01-09 07:48:24 | biometrical | 3 | 121633 | 16 | 24.673 | 4929.8 |
| 550 | 2025-01-09 07:48:26 | biometrical | 2 | 86808 | 8 | 14.093 | 6159.7 |
| 549 | 2025-01-09 07:48:02 | biometrical | 3 | 121633 | 16 | 27.516 | 4420.4 |
| 548 | 2025-01-09 07:48:04 | biometrical | 3 | 121633 | 16 | 21.580 | 5636.4 |
| 547 | 2025-01-09 07:45:54 | biometrical | 1 | 49908 | 1 | 1.580 | 31587.3 |
| 546 | 2024-12-26 12:02:32 | biometrical | 2 | 86808 | 8 | 7.753 | 11196.7 |
| 545 | 2024-12-26 12:01:10 | biometrical | 1 | 49908 | 1 | 5.126 | 9736.2 |
| 544 | 2024-12-25 14:00:34 | biometrical | 3 | 121633 | 16 | 29.730 | 4091.3 |
| 543 | 2024-12-23 19:36:47 | biometrical | 3 | 121633 | 16 | 16.360 | 7434.8 |
| 542 | 2024-12-15 01:46:40 | biometrical | 3 | 121633 | 16 | 25.610 | 4749.4 |
| 541 | 2024-12-15 01:46:45 | biometrical | 2 | 86808 | 8 | 11.310 | 7675.3 |
| 540 | 2024-12-15 01:46:08 | biometrical | 3 | 121633 | 16 | 31.520 | 3858.9 |
| 539 | 2024-12-15 01:43:48 | biometrical | 1 | 49908 | 1 | 4.283 | 11652.6 |
| 538 | 2024-12-11 06:26:29 | biometrical | 1 | 49908 | 1 | 4.063 | 12283.5 |
| 537 | 2024-11-24 13:04:36 | biometrical | 3 | 121633 | 16 | 29.406 | 4136.3 |
| 536 | 2024-11-24 13:04:39 | biometrical | 2 | 86808 | 8 | 18.033 | 4813.8 |
| 535 | 2024-11-22 08:06:32 | biometrical | 4 | 148819 | 59 | 47.000 | 3166.4 |
| 534 | 2024-11-22 08:06:42 | biometrical | 2 | 86808 | 8 | 16.296 | 5327.0 |
| 533 | 2024-11-22 08:06:17 | biometrical | 1 | 49908 | 1 | 2.546 | 19602.5 |
| 532 | 2024-11-22 08:03:55 | biometrical | 3 | 121633 | 16 | 25.970 | 4683.6 |
| 531 | 2024-11-20 21:23:54 | biometrical | 4 | 148819 | 59 | 43.156 | 3448.4 |
| 530 | 2024-11-16 21:57:15 | biometrical | 4 | 148819 | 59 | 24.080 | 6180.2 |
| 529 | 2024-11-15 07:08:59 | biometrical | 4 | 148819 | 59 | 47.756 | 3116.2 |
| 528 | 2024-11-15 07:08:56 | biometrical | 4 | 148819 | 59 | 41.300 | 3603.4 |
| 527 | 2024-11-15 07:09:04 | biometrical | 3 | 121633 | 16 | 24.080 | 5051.2 |
| 526 | 2024-11-15 07:09:01 | biometrical | 2 | 86808 | 8 | 11.983 | 7244.3 |