History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"dados"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 679 | 2025-10-25 08:30:15 | dados | 1 | 28756 | 11 | 3.780 | 7607.4 |
| 678 | 2025-10-25 03:27:18 | dados | 1 | 28756 | 11 | 0.533 | 53951.2 |
| 677 | 2025-10-23 16:36:49 | dados | 1 | 28756 | 11 | 1.063 | 27051.7 |
| 676 | 2025-10-20 03:42:02 | dados | 1 | 28756 | 11 | 0.486 | 59168.7 |
| 675 | 2025-10-20 00:15:06 | dados | 1 | 28756 | 11 | 1.123 | 25606.4 |
| 674 | 2025-10-13 21:47:55 | dados | 2 | 53800 | 133 | 3.030 | 17755.8 |
| 673 | 2025-10-12 13:39:22 | dados | 1 | 28756 | 11 | 0.513 | 56054.6 |
| 672 | 2025-10-08 11:42:28 | dados | 2 | 53800 | 133 | 1.550 | 34709.7 |
| 671 | 2025-10-03 10:26:54 | dados | 2 | 53800 | 133 | 1.796 | 29955.5 |
| 670 | 2025-10-01 04:14:22 | dados | 1 | 28756 | 11 | 0.470 | 61183.0 |
| 669 | 2025-09-27 04:18:01 | dados | 1 | 28756 | 11 | 0.466 | 61708.2 |
| 668 | 2025-09-26 17:45:22 | dados | 1 | 28756 | 11 | 1.030 | 27918.4 |
| 667 | 2025-09-26 13:55:43 | dados | 1 | 28756 | 11 | 0.453 | 63479.0 |
| 666 | 2025-09-26 12:38:39 | dados | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 665 | 2025-09-26 03:37:48 | dados | 1 | 28756 | 11 | 0.486 | 59168.7 |
| 664 | 2025-09-25 17:31:37 | dados | 1 | 28756 | 11 | 3.063 | 9388.2 |
| 663 | 2025-09-22 15:01:13 | dados | 1 | 28756 | 11 | 0.436 | 65954.1 |
| 662 | 2025-09-22 08:50:48 | dados | 1 | 28756 | 11 | 0.483 | 59536.2 |
| 661 | 2025-09-22 08:50:41 | dados | 1 | 28756 | 11 | 0.453 | 63479.0 |
| 660 | 2025-09-18 23:58:10 | dados | 1 | 28756 | 11 | 0.513 | 56054.6 |
| 659 | 2025-09-16 15:01:39 | dados | 2 | 53800 | 133 | 1.690 | 31834.3 |
| 658 | 2025-09-14 03:51:36 | dados | 1 | 28756 | 11 | 0.486 | 59168.7 |
| 657 | 2025-09-14 03:31:51 | dados | 2 | 53800 | 133 | 1.660 | 32409.6 |
| 656 | 2025-09-07 02:00:13 | dados | 2 | 53800 | 133 | 1.440 | 37361.1 |
| 655 | 2025-08-25 05:36:21 | dados | 1 | 28756 | 11 | 1.593 | 18051.5 |
| 654 | 2025-08-25 03:07:29 | dados | 1 | 28756 | 11 | 2.436 | 11804.6 |
| 653 | 2025-08-19 11:02:14 | dados | 1 | 28756 | 11 | 0.893 | 32201.6 |
| 652 | 2025-08-19 00:33:10 | dados | 1 | 28756 | 11 | 1.703 | 16885.5 |
| 651 | 2025-08-12 21:54:41 | dados | 1 | 28756 | 11 | 2.686 | 10705.9 |
| 650 | 2025-08-12 20:47:29 | dados | 2 | 53800 | 133 | 9.546 | 5635.9 |
| 649 | 2025-08-11 11:00:57 | dados | 1 | 28756 | 11 | 1.686 | 17055.8 |
| 648 | 2025-08-04 10:28:32 | dados | 1 | 28756 | 11 | 2.106 | 13654.3 |
| 647 | 2025-07-31 03:53:24 | dados | 1 | 28756 | 11 | 0.530 | 54256.6 |
| 646 | 2025-07-27 15:19:40 | dados | 2 | 53800 | 133 | 4.860 | 11070.0 |
| 645 | 2025-07-27 11:50:29 | dados | 2 | 53800 | 133 | 7.143 | 7531.8 |
| 644 | 2025-07-27 08:23:59 | dados | 2 | 53800 | 133 | 3.810 | 14120.7 |
| 643 | 2025-07-27 08:23:57 | dados | 2 | 53800 | 133 | 3.893 | 13819.7 |
| 642 | 2025-07-27 03:25:13 | dados | 2 | 53800 | 133 | 7.063 | 7617.2 |
| 641 | 2025-07-25 16:20:53 | dados | 2 | 53800 | 133 | 6.563 | 8197.5 |
| 640 | 2025-07-24 07:50:59 | dados | 1 | 28756 | 11 | 0.953 | 30174.2 |
| 639 | 2025-07-23 00:47:30 | dados | 2 | 53800 | 133 | 6.576 | 8181.3 |
| 638 | 2025-07-22 21:03:30 | dados | 1 | 28756 | 11 | 0.986 | 29164.3 |
| 637 | 2025-07-22 15:12:25 | dados | 1 | 28756 | 11 | 2.640 | 10892.4 |
| 636 | 2025-07-21 21:33:18 | dados | 2 | 53800 | 133 | 1.513 | 35558.5 |
| 635 | 2025-07-19 05:29:38 | dados | 1 | 28756 | 11 | 0.656 | 43835.4 |
| 634 | 2025-07-19 05:29:37 | dados | 1 | 28756 | 11 | 0.970 | 29645.4 |
| 633 | 2025-07-16 19:10:00 | dados | 1 | 28756 | 11 | 0.453 | 63479.0 |
| 632 | 2025-07-10 22:38:05 | dados | 1 | 28756 | 11 | 1.516 | 18968.3 |
| 631 | 2025-07-02 12:22:56 | dados | 1 | 28756 | 11 | 1.656 | 17364.7 |
| 630 | 2025-06-30 10:17:34 | dados | 1 | 28756 | 11 | 2.500 | 11502.4 |
| 629 | 2025-06-30 09:49:02 | dados | 1 | 28756 | 11 | 2.343 | 12273.2 |
| 628 | 2025-06-30 01:10:39 | dados | 1 | 28756 | 11 | 2.546 | 11294.6 |
| 627 | 2025-06-29 01:33:24 | dados | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 626 | 2025-06-22 12:11:06 | dados | 1 | 28756 | 11 | 3.563 | 8070.7 |
| 625 | 2025-06-22 04:05:20 | dados | 1 | 28756 | 11 | 2.576 | 11163.0 |
| 624 | 2025-06-20 23:36:03 | dados | 1 | 28756 | 11 | 2.440 | 11785.2 |
| 623 | 2025-06-17 23:48:49 | dados | 1 | 28756 | 11 | 1.703 | 16885.5 |
| 622 | 2025-06-10 16:57:35 | dados | 1 | 28756 | 11 | 3.656 | 7865.4 |
| 621 | 2025-06-10 12:58:42 | dados | 1 | 28756 | 11 | 1.970 | 14597.0 |
| 620 | 2025-06-08 00:29:35 | dados | 2 | 53800 | 133 | 12.123 | 4437.8 |
| 619 | 2025-06-07 10:14:19 | dados | 1 | 28756 | 11 | 0.530 | 54256.6 |
| 618 | 2025-05-31 11:48:33 | dados | 1 | 28756 | 11 | 1.216 | 23648.0 |
| 617 | 2025-05-31 08:15:17 | dados | 1 | 28756 | 11 | 2.280 | 12612.3 |
| 616 | 2025-05-30 22:44:08 | dados | 1 | 28756 | 11 | 2.686 | 10705.9 |
| 615 | 2025-05-30 09:50:01 | dados | 1 | 28756 | 11 | 2.343 | 12273.2 |
| 614 | 2025-05-29 16:25:23 | dados | 1 | 28756 | 11 | 2.346 | 12257.5 |
| 613 | 2025-05-29 15:40:14 | dados | 1 | 28756 | 11 | 1.720 | 16718.6 |
| 612 | 2025-05-27 02:18:43 | dados | 1 | 28756 | 11 | 3.296 | 8724.5 |
| 611 | 2025-05-24 17:01:01 | dados | 1 | 28756 | 11 | 2.373 | 12118.0 |
| 610 | 2025-05-23 23:01:32 | dados | 1 | 28756 | 11 | 3.530 | 8146.2 |
| 609 | 2025-05-23 17:23:21 | dados | 1 | 28756 | 11 | 0.533 | 53951.2 |
| 608 | 2025-05-22 04:28:04 | dados | 1 | 28756 | 11 | 1.956 | 14701.4 |
| 607 | 2025-05-21 23:12:37 | dados | 1 | 28756 | 11 | 2.576 | 11163.0 |
| 606 | 2025-05-16 10:54:33 | dados | 1 | 28756 | 11 | 3.546 | 8109.4 |
| 605 | 2025-05-15 12:52:49 | dados | 1 | 28756 | 11 | 2.703 | 10638.5 |
| 604 | 2025-05-13 19:18:44 | dados | 1 | 28756 | 11 | 0.516 | 55728.7 |
| 603 | 2025-05-13 05:23:18 | dados | 1 | 28756 | 11 | 1.170 | 24577.8 |
| 602 | 2025-05-11 19:15:42 | dados | 1 | 28756 | 11 | 0.516 | 55728.7 |
| 601 | 2025-05-10 14:16:05 | dados | 1 | 28756 | 11 | 3.186 | 9025.7 |
| 600 | 2025-05-09 14:21:43 | dados | 1 | 28756 | 11 | 2.313 | 12432.3 |
| 599 | 2025-05-05 06:27:42 | dados | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 598 | 2025-04-30 11:40:15 | dados | 1 | 28756 | 11 | 2.033 | 14144.6 |
| 597 | 2025-04-30 09:20:24 | dados | 1 | 28756 | 11 | 3.563 | 8070.7 |
| 596 | 2025-04-28 18:15:51 | dados | 1 | 28756 | 11 | 0.533 | 53951.2 |
| 595 | 2025-04-19 19:01:03 | dados | 1 | 28756 | 11 | 0.516 | 55728.7 |
| 594 | 2025-04-16 23:32:06 | dados | 1 | 28756 | 11 | 2.560 | 11232.8 |
| 593 | 2025-04-16 11:59:25 | dados | 2 | 53800 | 133 | 4.626 | 11629.9 |
| 592 | 2025-04-16 09:57:56 | dados | 2 | 53800 | 133 | 8.186 | 6572.2 |
| 591 | 2025-04-15 02:04:46 | dados | 1 | 28756 | 11 | 1.233 | 23322.0 |
| 590 | 2025-04-15 00:22:39 | dados | 1 | 28756 | 11 | 1.763 | 16310.8 |
| 589 | 2025-04-14 20:58:39 | dados | 2 | 53800 | 133 | 1.716 | 31352.0 |
| 588 | 2025-04-09 12:49:04 | dados | 1 | 28756 | 11 | 1.423 | 20208.0 |
| 587 | 2025-04-06 09:47:49 | dados | 1 | 28756 | 11 | 2.606 | 11034.5 |
| 586 | 2025-03-29 13:46:57 | dados | 1 | 28756 | 11 | 1.296 | 22188.3 |
| 585 | 2025-03-29 10:04:59 | dados | 1 | 28756 | 11 | 2.826 | 10175.5 |
| 584 | 2025-03-20 04:47:01 | dados | 1 | 28756 | 11 | 3.110 | 9246.3 |
| 583 | 2025-03-19 22:57:22 | dados | 1 | 28756 | 11 | 3.766 | 7635.7 |
| 582 | 2025-03-17 15:29:33 | dados | 1 | 28756 | 11 | 2.250 | 12780.4 |
| 581 | 2025-03-09 00:13:05 | dados | 2 | 53800 | 133 | 11.220 | 4795.0 |
| 580 | 2025-03-07 19:21:18 | dados | 1 | 28756 | 11 | 0.936 | 30722.2 |