History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"densities"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 666 | 2024-04-27 03:21:07 | densities | 1 | 81242 | 3 | 1.703 | 47705.2 |
| 665 | 2024-04-16 12:53:23 | densities | 2 | 121436 | 15 | 8.393 | 14468.7 |
| 664 | 2024-04-16 12:52:34 | densities | 1 | 81242 | 3 | 1.233 | 65889.7 |
| 663 | 2024-04-01 07:26:51 | densities | 2 | 121436 | 15 | 12.406 | 9788.5 |
| 662 | 2024-04-01 05:36:17 | densities | 1 | 81242 | 3 | 1.516 | 53589.7 |
| 661 | 2024-03-31 18:38:19 | densities | 3 | 148641 | 107 | 26.253 | 5661.9 |
| 660 | 2024-03-25 20:30:05 | densities | 3 | 148641 | 107 | 26.300 | 5651.7 |
| 659 | 2024-03-24 11:57:06 | densities | 3 | 148641 | 107 | 18.923 | 7855.0 |
| 658 | 2024-03-24 08:32:08 | densities | 3 | 148641 | 107 | 20.893 | 7114.4 |
| 657 | 2024-03-22 20:59:23 | densities | 3 | 148641 | 107 | 10.846 | 13704.7 |
| 656 | 2024-03-22 20:59:16 | densities | 2 | 121436 | 15 | 4.546 | 26712.7 |
| 655 | 2024-03-22 20:54:42 | densities | 1 | 81242 | 3 | 1.703 | 47705.2 |
| 654 | 2024-03-01 07:47:01 | densities | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 653 | 2024-02-17 01:48:31 | densities | 3 | 148641 | 107 | 13.186 | 11272.6 |
| 652 | 2024-02-13 18:34:18 | densities | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 651 | 2024-01-31 22:59:47 | densities | 3 | 148641 | 107 | 8.390 | 17716.4 |
| 650 | 2024-01-31 03:12:23 | densities | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 649 | 2024-01-31 00:37:55 | densities | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 648 | 2024-01-29 18:15:07 | densities | 1 | 81242 | 3 | 2.966 | 27391.1 |
| 647 | 2024-01-23 03:10:34 | densities | 3 | 148641 | 107 | 19.050 | 7802.7 |
| 646 | 2024-01-22 07:57:34 | densities | 3 | 148641 | 107 | 6.423 | 23142.0 |
| 645 | 2024-01-11 03:30:41 | densities | 3 | 148641 | 107 | 14.406 | 10318.0 |
| 644 | 2023-12-31 21:57:14 | densities | 1 | 81242 | 3 | 1.326 | 61268.5 |
| 643 | 2023-12-01 18:14:53 | densities | 1 | 81242 | 3 | 1.233 | 65889.7 |
| 642 | 2023-11-29 00:17:46 | densities | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 641 | 2023-11-28 22:48:47 | densities | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 640 | 2023-11-24 01:11:56 | densities | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 639 | 2023-11-17 18:47:24 | densities | 3 | 148641 | 107 | 6.263 | 23733.2 |
| 638 | 2023-10-01 22:40:23 | densities | 1 | 81242 | 3 | 2.733 | 29726.3 |
| 637 | 2023-09-26 01:50:50 | densities | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 636 | 2023-09-15 10:59:43 | densities | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 635 | 2023-08-18 17:59:15 | densities | 3 | 148641 | 107 | 6.356 | 23385.9 |
| 634 | 2023-08-11 11:46:29 | densities | 3 | 148641 | 107 | 6.156 | 24145.7 |
| 633 | 2023-07-03 22:17:14 | densities | 1 | 81242 | 3 | 1.280 | 63470.3 |
| 632 | 2023-06-16 20:30:09 | densities | 3 | 148641 | 107 | 7.046 | 21095.8 |
| 631 | 2023-05-04 11:54:17 | densities | 3 | 148641 | 107 | 6.126 | 24264.0 |
| 630 | 2023-04-30 20:37:27 | densities | 1 | 81242 | 3 | 1.233 | 65889.7 |
| 629 | 2023-04-13 03:06:34 | densities | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 628 | 2023-03-24 09:23:51 | densities | 1 | 81242 | 3 | 1.466 | 55417.5 |
| 627 | 2023-02-27 00:31:51 | densities | 1 | 81242 | 3 | 1.296 | 62686.7 |
| 626 | 2023-02-07 11:05:39 | densities | 3 | 148641 | 107 | 6.750 | 22020.9 |
| 625 | 2023-02-04 07:12:35 | densities | 1 | 81242 | 3 | 1.216 | 66810.9 |
| 624 | 2022-12-15 17:30:33 | densities | 3 | 148641 | 107 | 7.076 | 21006.4 |
| 623 | 2022-12-02 07:19:06 | densities | 1 | 81242 | 3 | 1.326 | 61268.5 |
| 622 | 2022-11-18 06:47:05 | densities | 3 | 148641 | 107 | 7.250 | 20502.2 |
| 621 | 2022-11-10 03:53:46 | densities | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 620 | 2022-09-29 02:29:41 | densities | 1 | 81242 | 3 | 1.283 | 63321.9 |
| 619 | 2022-07-27 11:11:54 | densities | 1 | 81242 | 3 | 1.236 | 65729.8 |
| 618 | 2022-07-25 03:57:10 | densities | 1 | 81242 | 3 | 1.236 | 65729.8 |
| 617 | 2022-07-20 22:38:58 | densities | 1 | 81242 | 3 | 1.330 | 61084.2 |
| 616 | 2022-07-17 05:20:30 | densities | 1 | 81242 | 3 | 1.360 | 59736.8 |
| 615 | 2022-06-20 11:22:45 | densities | 3 | 148641 | 107 | 6.280 | 23668.9 |
| 614 | 2022-06-18 05:49:34 | densities | 3 | 148641 | 107 | 6.360 | 23371.2 |
| 613 | 2022-06-15 18:30:31 | densities | 3 | 148641 | 107 | 6.626 | 22433.0 |
| 612 | 2022-05-18 14:04:24 | densities | 3 | 148641 | 107 | 7.250 | 20502.2 |
| 611 | 2022-05-17 19:45:34 | densities | 3 | 148641 | 107 | 7.266 | 20457.1 |
| 610 | 2022-05-17 10:28:42 | densities | 3 | 148641 | 107 | 8.420 | 17653.3 |
| 609 | 2022-05-16 16:34:54 | densities | 3 | 148641 | 107 | 8.486 | 17516.0 |
| 608 | 2022-05-16 11:53:50 | densities | 3 | 148641 | 107 | 8.000 | 18580.1 |
| 607 | 2022-05-16 04:41:03 | densities | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 606 | 2022-05-15 23:35:43 | densities | 3 | 148641 | 107 | 6.783 | 21913.8 |
| 605 | 2022-05-15 04:52:21 | densities | 3 | 148641 | 107 | 6.966 | 21338.1 |
| 604 | 2022-05-14 11:09:30 | densities | 3 | 148641 | 107 | 7.470 | 19898.4 |
| 603 | 2022-05-13 18:45:40 | densities | 3 | 148641 | 107 | 6.593 | 22545.3 |
| 602 | 2022-05-13 08:29:13 | densities | 3 | 148641 | 107 | 8.626 | 17231.7 |
| 601 | 2022-05-12 23:08:14 | densities | 3 | 148641 | 107 | 7.653 | 19422.6 |
| 600 | 2022-05-06 14:27:00 | densities | 3 | 148641 | 107 | 7.000 | 21234.4 |
| 599 | 2022-05-05 20:39:31 | densities | 3 | 148641 | 107 | 6.983 | 21286.1 |
| 598 | 2022-05-05 14:47:33 | densities | 3 | 148641 | 107 | 6.876 | 21617.4 |
| 597 | 2022-05-05 08:00:44 | densities | 3 | 148641 | 107 | 10.076 | 14752.0 |
| 596 | 2022-05-04 21:32:44 | densities | 3 | 148641 | 107 | 6.310 | 23556.4 |
| 595 | 2022-05-04 11:25:07 | densities | 3 | 148641 | 107 | 7.580 | 19609.6 |
| 594 | 2022-05-04 04:58:31 | densities | 3 | 148641 | 107 | 8.030 | 18510.7 |
| 593 | 2022-05-03 15:14:10 | densities | 3 | 148641 | 107 | 8.766 | 16956.5 |
| 592 | 2022-05-02 22:29:24 | densities | 3 | 148641 | 107 | 7.780 | 19105.5 |
| 591 | 2022-04-29 07:11:45 | densities | 3 | 148641 | 107 | 6.250 | 23782.6 |
| 590 | 2022-04-28 14:03:27 | densities | 3 | 148641 | 107 | 8.033 | 18503.8 |
| 589 | 2022-04-16 06:13:53 | densities | 3 | 148641 | 107 | 7.080 | 20994.5 |
| 588 | 2022-04-15 13:20:05 | densities | 3 | 148641 | 107 | 7.220 | 20587.4 |
| 587 | 2022-04-14 20:29:10 | densities | 3 | 148641 | 107 | 7.860 | 18911.1 |
| 586 | 2022-04-14 01:40:32 | densities | 3 | 148641 | 107 | 7.486 | 19855.9 |
| 585 | 2022-04-08 00:54:13 | densities | 3 | 148641 | 107 | 8.203 | 18120.3 |
| 584 | 2022-04-07 14:25:11 | densities | 3 | 148641 | 107 | 7.830 | 18983.5 |
| 583 | 2022-04-06 23:02:32 | densities | 3 | 148641 | 107 | 6.656 | 22331.9 |
| 582 | 2022-04-06 06:05:24 | densities | 3 | 148641 | 107 | 6.190 | 24013.1 |
| 581 | 2022-04-05 16:37:58 | densities | 3 | 148641 | 107 | 7.250 | 20502.2 |
| 580 | 2022-04-04 21:02:48 | densities | 3 | 148641 | 107 | 8.546 | 17393.0 |
| 579 | 2022-04-04 08:21:56 | densities | 3 | 148641 | 107 | 6.940 | 21418.0 |
| 578 | 2022-04-03 16:23:24 | densities | 3 | 148641 | 107 | 6.966 | 21338.1 |
| 577 | 2022-04-02 05:21:34 | densities | 3 | 148641 | 107 | 6.106 | 24343.4 |
| 576 | 2022-04-01 14:32:59 | densities | 3 | 148641 | 107 | 7.233 | 20550.4 |
| 575 | 2022-03-31 23:12:45 | densities | 3 | 148641 | 107 | 8.003 | 18573.2 |
| 574 | 2022-03-19 22:05:51 | densities | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 573 | 2022-03-17 22:19:16 | densities | 1 | 81242 | 3 | 1.530 | 53099.3 |
| 572 | 2022-03-16 11:35:54 | densities | 1 | 81242 | 3 | 1.266 | 64172.2 |
| 571 | 2022-03-15 17:36:31 | densities | 1 | 81242 | 3 | 1.266 | 64172.2 |
| 570 | 2022-03-11 10:20:39 | densities | 3 | 148641 | 107 | 6.483 | 22927.8 |
| 569 | 2022-02-01 22:11:13 | densities | 3 | 148641 | 107 | 6.280 | 23668.9 |
| 568 | 2022-01-05 23:56:22 | densities | 3 | 148641 | 107 | 7.483 | 19863.8 |
| 567 | 2022-01-05 14:26:38 | densities | 3 | 148641 | 107 | 8.173 | 18186.8 |