History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"chevalets"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 690 | 2026-02-16 23:14:53 | chevalets | 1 | 81242 | 2 | 1.403 | 57905.9 |
| 689 | 2026-02-16 21:01:43 | chevalets | 4 | 165329 | 390 | 11.110 | 14881.1 |
| 688 | 2026-02-16 21:01:27 | chevalets | 4 | 165329 | 390 | 12.940 | 12776.6 |
| 687 | 2026-02-16 21:01:11 | chevalets | 4 | 165329 | 390 | 13.140 | 12582.1 |
| 686 | 2026-02-11 14:42:58 | chevalets | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 685 | 2026-02-03 19:41:32 | chevalets | 4 | 165329 | 390 | 17.140 | 9645.8 |
| 684 | 2026-02-02 00:39:04 | chevalets | 3 | 148641 | 30 | 7.423 | 20024.4 |
| 683 | 2026-02-01 03:41:41 | chevalets | 2 | 121436 | 5 | 3.813 | 31847.9 |
| 682 | 2026-01-28 22:43:30 | chevalets | 1 | 81242 | 2 | 1.283 | 63321.9 |
| 681 | 2026-01-28 16:37:26 | chevalets | 1 | 81242 | 2 | 3.296 | 24648.7 |
| 680 | 2026-01-28 13:08:15 | chevalets | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 679 | 2026-01-28 07:54:59 | chevalets | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 678 | 2026-01-28 07:41:44 | chevalets | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 677 | 2026-01-28 07:35:25 | chevalets | 1 | 81242 | 2 | 1.440 | 56418.1 |
| 676 | 2026-01-28 06:51:58 | chevalets | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 675 | 2026-01-28 05:40:35 | chevalets | 1 | 81242 | 2 | 1.280 | 63470.3 |
| 674 | 2026-01-28 01:41:55 | chevalets | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 673 | 2026-01-27 21:56:53 | chevalets | 1 | 81242 | 2 | 2.483 | 32719.3 |
| 672 | 2026-01-27 21:34:02 | chevalets | 1 | 81242 | 2 | 2.296 | 35384.1 |
| 671 | 2026-01-27 20:26:30 | chevalets | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 670 | 2026-01-27 19:42:21 | chevalets | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 669 | 2026-01-26 23:48:39 | chevalets | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 668 | 2026-01-26 11:47:59 | chevalets | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 667 | 2026-01-26 08:45:54 | chevalets | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 666 | 2026-01-26 01:59:46 | chevalets | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 665 | 2026-01-25 12:33:12 | chevalets | 1 | 81242 | 2 | 3.516 | 23106.4 |
| 664 | 2026-01-19 09:18:31 | chevalets | 1 | 81242 | 2 | 1.283 | 63321.9 |
| 663 | 2026-01-08 03:20:27 | chevalets | 1 | 81242 | 2 | 5.406 | 15028.1 |
| 662 | 2026-01-07 03:36:06 | chevalets | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 661 | 2026-01-02 22:32:57 | chevalets | 1 | 81242 | 2 | 2.690 | 30201.5 |
| 660 | 2025-12-30 01:40:33 | chevalets | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 659 | 2025-12-26 11:24:49 | chevalets | 4 | 165329 | 390 | 12.313 | 13427.2 |
| 658 | 2025-12-20 19:43:11 | chevalets | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 657 | 2025-12-20 17:02:50 | chevalets | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 656 | 2025-12-20 17:02:36 | chevalets | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 655 | 2025-12-15 12:20:55 | chevalets | 1 | 81242 | 2 | 1.440 | 56418.1 |
| 654 | 2025-12-12 19:26:29 | chevalets | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 653 | 2025-12-07 16:21:17 | chevalets | 4 | 165329 | 390 | 13.360 | 12374.9 |
| 652 | 2025-12-05 13:49:59 | chevalets | 3 | 148641 | 30 | 7.560 | 19661.5 |
| 651 | 2025-12-05 06:32:34 | chevalets | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 650 | 2025-12-01 13:25:56 | chevalets | 4 | 165329 | 390 | 17.236 | 9592.1 |
| 649 | 2025-11-24 02:59:58 | chevalets | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 648 | 2025-11-21 11:12:38 | chevalets | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 647 | 2025-11-19 09:04:27 | chevalets | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 646 | 2025-11-18 19:48:35 | chevalets | 3 | 148641 | 30 | 7.126 | 20859.0 |
| 645 | 2025-11-18 16:48:12 | chevalets | 2 | 121436 | 5 | 3.640 | 33361.5 |
| 644 | 2025-11-18 15:29:57 | chevalets | 1 | 81242 | 2 | 1.890 | 42985.2 |
| 643 | 2025-11-17 07:27:04 | chevalets | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 642 | 2025-08-26 20:13:41 | chevalets | 1 | 81242 | 2 | 1.330 | 61084.2 |
| 641 | 2025-08-25 15:33:11 | chevalets | 1 | 81242 | 2 | 6.720 | 12089.6 |
| 640 | 2025-08-11 16:38:26 | chevalets | 1 | 81242 | 2 | 2.313 | 35124.1 |
| 639 | 2025-07-24 09:05:25 | chevalets | 1 | 81242 | 2 | 6.266 | 12965.5 |
| 638 | 2025-07-22 23:54:49 | chevalets | 1 | 81242 | 2 | 6.296 | 12903.7 |
| 637 | 2025-07-19 21:40:08 | chevalets | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 636 | 2025-07-18 22:36:06 | chevalets | 3 | 148641 | 30 | 7.233 | 20550.4 |
| 635 | 2025-07-04 14:07:29 | chevalets | 1 | 81242 | 2 | 4.486 | 18110.1 |
| 634 | 2025-07-01 20:51:28 | chevalets | 1 | 81242 | 2 | 4.390 | 18506.2 |
| 633 | 2025-06-29 10:40:49 | chevalets | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 632 | 2025-06-27 13:43:46 | chevalets | 1 | 81242 | 2 | 6.593 | 12322.5 |
| 631 | 2025-06-25 06:03:46 | chevalets | 1 | 81242 | 2 | 10.533 | 7713.1 |
| 630 | 2025-06-20 22:49:14 | chevalets | 1 | 81242 | 2 | 3.810 | 21323.4 |
| 629 | 2025-06-19 13:36:52 | chevalets | 3 | 148641 | 30 | 22.720 | 6542.3 |
| 628 | 2025-06-12 09:52:22 | chevalets | 3 | 148641 | 30 | 39.940 | 3721.6 |
| 627 | 2025-05-20 20:56:41 | chevalets | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 626 | 2025-05-19 21:00:36 | chevalets | 1 | 81242 | 2 | 4.453 | 18244.3 |
| 625 | 2025-05-14 08:39:07 | chevalets | 3 | 148641 | 30 | 35.906 | 4139.7 |
| 624 | 2025-05-13 19:07:34 | chevalets | 2 | 121436 | 5 | 3.360 | 36141.7 |
| 623 | 2025-05-09 22:55:46 | chevalets | 1 | 81242 | 2 | 4.080 | 19912.3 |
| 622 | 2025-05-05 17:05:42 | chevalets | 1 | 81242 | 2 | 3.483 | 23325.3 |
| 621 | 2025-05-04 10:00:53 | chevalets | 1 | 81242 | 2 | 7.500 | 10832.3 |
| 620 | 2025-04-30 08:34:22 | chevalets | 4 | 165329 | 390 | 59.503 | 2778.5 |
| 619 | 2025-04-28 07:55:03 | chevalets | 4 | 165329 | 390 | 74.770 | 2211.2 |
| 618 | 2025-04-25 14:00:08 | chevalets | 4 | 165329 | 390 | 39.376 | 4198.7 |
| 617 | 2025-04-23 20:16:50 | chevalets | 4 | 165329 | 390 | 59.973 | 2756.7 |
| 616 | 2025-04-23 03:10:31 | chevalets | 2 | 121436 | 5 | 8.890 | 13659.8 |
| 615 | 2025-04-23 01:47:05 | chevalets | 1 | 81242 | 2 | 4.780 | 16996.2 |
| 614 | 2025-04-20 17:15:56 | chevalets | 3 | 148641 | 30 | 6.830 | 21763.0 |
| 613 | 2025-04-19 20:36:42 | chevalets | 3 | 148641 | 30 | 36.893 | 4029.0 |
| 612 | 2025-04-19 20:36:54 | chevalets | 2 | 121436 | 5 | 14.736 | 8240.8 |
| 611 | 2025-04-19 13:24:31 | chevalets | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 610 | 2025-04-14 23:52:48 | chevalets | 4 | 165329 | 390 | 65.350 | 2529.9 |
| 609 | 2025-03-28 21:48:03 | chevalets | 1 | 81242 | 2 | 6.313 | 12869.0 |
| 608 | 2025-03-27 15:06:46 | chevalets | 1 | 81242 | 2 | 4.843 | 16775.1 |
| 607 | 2025-03-27 11:50:22 | chevalets | 1 | 81242 | 2 | 3.173 | 25604.2 |
| 606 | 2025-03-26 09:48:25 | chevalets | 4 | 165329 | 390 | 76.220 | 2169.1 |
| 605 | 2025-03-23 11:19:27 | chevalets | 4 | 165329 | 390 | 50.033 | 3304.4 |
| 604 | 2025-03-22 10:00:12 | chevalets | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 603 | 2025-03-22 07:20:02 | chevalets | 4 | 165329 | 390 | 75.580 | 2187.5 |
| 602 | 2025-03-22 01:57:49 | chevalets | 2 | 121436 | 5 | 3.623 | 33518.1 |
| 601 | 2025-03-20 21:17:48 | chevalets | 3 | 148641 | 30 | 7.720 | 19254.0 |
| 600 | 2025-03-17 03:07:38 | chevalets | 3 | 148641 | 30 | 28.330 | 5246.8 |
| 599 | 2025-03-13 19:18:17 | chevalets | 1 | 81242 | 2 | 4.296 | 18911.1 |
| 598 | 2025-03-04 04:25:07 | chevalets | 1 | 81242 | 2 | 6.750 | 12035.9 |
| 597 | 2025-02-22 19:09:59 | chevalets | 3 | 148641 | 30 | 23.470 | 6333.2 |
| 596 | 2025-02-20 14:04:01 | chevalets | 3 | 148641 | 30 | 38.626 | 3848.2 |
| 595 | 2025-02-09 15:04:42 | chevalets | 1 | 81242 | 2 | 13.326 | 6096.5 |
| 594 | 2025-02-05 16:04:09 | chevalets | 3 | 148641 | 30 | 34.250 | 4339.9 |
| 593 | 2025-02-05 16:04:03 | chevalets | 2 | 121436 | 5 | 15.530 | 7819.4 |
| 592 | 2025-02-02 16:52:17 | chevalets | 3 | 148641 | 30 | 37.680 | 3944.8 |
| 591 | 2025-02-02 16:52:21 | chevalets | 3 | 148641 | 30 | 32.910 | 4516.6 |