History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"stock"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 665 | 2025-12-01 17:29:51 | stock | 1 | 28756 | 11 | 0.516 | 55728.7 |
| 664 | 2025-11-27 23:00:56 | stock | 1 | 28756 | 11 | 0.656 | 43835.4 |
| 663 | 2025-11-26 23:28:05 | stock | 1 | 28756 | 11 | 0.533 | 53951.2 |
| 662 | 2025-11-26 11:36:12 | stock | 1 | 28756 | 11 | 0.546 | 52666.7 |
| 661 | 2025-11-23 22:11:01 | stock | 2 | 53800 | 120 | 1.656 | 32487.9 |
| 660 | 2025-11-23 06:44:22 | stock | 2 | 53800 | 120 | 1.653 | 32546.9 |
| 659 | 2025-11-19 04:06:16 | stock | 1 | 28756 | 11 | 1.126 | 25538.2 |
| 658 | 2025-11-18 16:21:21 | stock | 1 | 28756 | 11 | 0.516 | 55728.7 |
| 657 | 2025-11-18 00:06:22 | stock | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 656 | 2025-11-17 23:29:15 | stock | 1 | 28756 | 11 | 0.516 | 55728.7 |
| 655 | 2025-11-15 18:23:06 | stock | 1 | 28756 | 11 | 0.483 | 59536.2 |
| 654 | 2025-11-15 04:35:37 | stock | 1 | 28756 | 11 | 0.513 | 56054.6 |
| 653 | 2025-11-14 20:37:21 | stock | 1 | 28756 | 11 | 1.076 | 26724.9 |
| 652 | 2025-11-14 05:21:56 | stock | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 651 | 2025-11-11 17:49:15 | stock | 1 | 28756 | 11 | 0.563 | 51076.4 |
| 650 | 2025-11-10 22:04:04 | stock | 1 | 28756 | 11 | 0.513 | 56054.6 |
| 649 | 2025-11-10 07:23:54 | stock | 1 | 28756 | 11 | 0.513 | 56054.6 |
| 648 | 2025-10-27 00:46:14 | stock | 1 | 28756 | 11 | 0.530 | 54256.6 |
| 647 | 2025-10-25 12:47:35 | stock | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 646 | 2025-10-19 04:37:22 | stock | 1 | 28756 | 11 | 0.453 | 63479.0 |
| 645 | 2025-10-18 19:50:25 | stock | 1 | 28756 | 11 | 0.546 | 52666.7 |
| 644 | 2025-10-18 01:31:55 | stock | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 643 | 2025-10-14 21:32:31 | stock | 1 | 28756 | 11 | 0.466 | 61708.2 |
| 642 | 2025-10-10 23:00:00 | stock | 1 | 28756 | 11 | 0.453 | 63479.0 |
| 641 | 2025-10-08 01:02:18 | stock | 1 | 28756 | 11 | 0.470 | 61183.0 |
| 640 | 2025-10-04 03:31:16 | stock | 1 | 28756 | 11 | 0.516 | 55728.7 |
| 639 | 2025-10-02 03:44:10 | stock | 2 | 53800 | 120 | 1.420 | 37887.3 |
| 638 | 2025-09-30 21:56:53 | stock | 1 | 28756 | 11 | 0.470 | 61183.0 |
| 637 | 2025-09-27 05:25:19 | stock | 1 | 28756 | 11 | 0.516 | 55728.7 |
| 636 | 2025-09-25 10:58:02 | stock | 1 | 28756 | 11 | 3.530 | 8146.2 |
| 635 | 2025-09-24 12:50:22 | stock | 1 | 28756 | 11 | 0.640 | 44931.3 |
| 634 | 2025-09-24 00:07:21 | stock | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 633 | 2025-09-17 16:20:36 | stock | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 632 | 2025-09-15 05:09:58 | stock | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 631 | 2025-09-14 05:35:27 | stock | 1 | 28756 | 11 | 0.596 | 48248.3 |
| 630 | 2025-09-13 08:22:28 | stock | 1 | 28756 | 11 | 0.516 | 55728.7 |
| 629 | 2025-09-11 16:23:07 | stock | 1 | 28756 | 11 | 0.546 | 52666.7 |
| 628 | 2025-09-11 14:35:18 | stock | 1 | 28756 | 11 | 1.000 | 28756.0 |
| 627 | 2025-09-10 04:59:19 | stock | 1 | 28756 | 11 | 0.513 | 56054.6 |
| 626 | 2025-08-27 05:39:20 | stock | 1 | 28756 | 11 | 0.533 | 53951.2 |
| 625 | 2025-08-22 17:48:38 | stock | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 624 | 2025-08-17 14:54:55 | stock | 1 | 28756 | 11 | 1.343 | 21411.8 |
| 623 | 2025-08-17 09:26:19 | stock | 2 | 53800 | 120 | 4.326 | 12436.4 |
| 622 | 2025-08-15 19:51:15 | stock | 2 | 53800 | 120 | 1.763 | 30516.2 |
| 621 | 2025-08-15 07:16:14 | stock | 1 | 28756 | 11 | 1.220 | 23570.5 |
| 620 | 2025-08-14 00:24:31 | stock | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 619 | 2025-08-11 22:23:48 | stock | 1 | 28756 | 11 | 1.030 | 27918.4 |
| 618 | 2025-08-04 03:40:17 | stock | 1 | 28756 | 11 | 1.720 | 16718.6 |
| 617 | 2025-08-01 12:36:11 | stock | 2 | 53800 | 120 | 5.530 | 9728.8 |
| 616 | 2025-07-30 23:53:23 | stock | 1 | 28756 | 11 | 2.513 | 11442.9 |
| 615 | 2025-07-30 23:17:05 | stock | 1 | 28756 | 11 | 2.046 | 14054.7 |
| 614 | 2025-07-27 06:24:14 | stock | 1 | 28756 | 11 | 2.296 | 12524.4 |
| 613 | 2025-07-23 18:50:38 | stock | 1 | 28756 | 11 | 0.970 | 29645.4 |
| 612 | 2025-07-23 18:34:21 | stock | 1 | 28756 | 11 | 1.283 | 22413.1 |
| 611 | 2025-07-23 15:38:42 | stock | 1 | 28756 | 11 | 1.673 | 17188.3 |
| 610 | 2025-07-23 02:54:02 | stock | 1 | 28756 | 11 | 3.360 | 8558.3 |
| 609 | 2025-07-23 01:45:44 | stock | 1 | 28756 | 11 | 1.606 | 17905.4 |
| 608 | 2025-07-17 19:28:40 | stock | 1 | 28756 | 11 | 3.686 | 7801.4 |
| 607 | 2025-07-16 22:53:00 | stock | 2 | 53800 | 120 | 3.670 | 14659.4 |
| 606 | 2025-07-16 06:12:53 | stock | 1 | 28756 | 11 | 0.580 | 49579.3 |
| 605 | 2025-07-10 19:20:22 | stock | 1 | 28756 | 11 | 3.640 | 7900.0 |
| 604 | 2025-06-28 07:17:20 | stock | 1 | 28756 | 11 | 2.516 | 11429.3 |
| 603 | 2025-06-21 04:05:49 | stock | 1 | 28756 | 11 | 3.703 | 7765.6 |
| 602 | 2025-06-17 11:14:16 | stock | 1 | 28756 | 11 | 0.486 | 59168.7 |
| 601 | 2025-06-16 05:54:22 | stock | 1 | 28756 | 11 | 3.640 | 7900.0 |
| 600 | 2025-06-10 15:56:13 | stock | 1 | 28756 | 11 | 1.390 | 20687.8 |
| 599 | 2025-06-02 12:22:13 | stock | 1 | 28756 | 11 | 1.470 | 19561.9 |
| 598 | 2025-06-01 04:21:42 | stock | 1 | 28756 | 11 | 2.626 | 10950.5 |
| 597 | 2025-05-30 06:32:07 | stock | 1 | 28756 | 11 | 1.453 | 19790.8 |
| 596 | 2025-05-28 23:10:49 | stock | 1 | 28756 | 11 | 2.550 | 11276.9 |
| 595 | 2025-05-24 05:50:55 | stock | 1 | 28756 | 11 | 3.656 | 7865.4 |
| 594 | 2025-05-22 07:03:36 | stock | 1 | 28756 | 11 | 1.203 | 23903.6 |
| 593 | 2025-05-17 22:27:08 | stock | 2 | 53800 | 120 | 3.923 | 13714.0 |
| 592 | 2025-05-16 05:58:21 | stock | 1 | 28756 | 11 | 2.140 | 13437.4 |
| 591 | 2025-05-14 09:58:11 | stock | 1 | 28756 | 11 | 2.186 | 13154.6 |
| 590 | 2025-05-14 09:07:36 | stock | 1 | 28756 | 11 | 3.436 | 8369.0 |
| 589 | 2025-05-14 00:38:32 | stock | 1 | 28756 | 11 | 2.420 | 11882.6 |
| 588 | 2025-05-12 10:47:39 | stock | 2 | 53800 | 120 | 8.186 | 6572.2 |
| 587 | 2025-04-29 12:19:53 | stock | 1 | 28756 | 11 | 2.376 | 12102.7 |
| 586 | 2025-04-28 19:55:24 | stock | 1 | 28756 | 11 | 0.546 | 52666.7 |
| 585 | 2025-04-27 02:51:04 | stock | 1 | 28756 | 11 | 0.530 | 54256.6 |
| 584 | 2025-04-22 11:54:48 | stock | 1 | 28756 | 11 | 1.110 | 25906.3 |
| 583 | 2025-04-16 05:20:30 | stock | 1 | 28756 | 11 | 1.076 | 26724.9 |
| 582 | 2025-04-13 00:15:46 | stock | 1 | 28756 | 11 | 0.550 | 52283.6 |
| 581 | 2025-04-02 01:34:51 | stock | 1 | 28756 | 11 | 2.456 | 11708.5 |
| 580 | 2025-03-29 15:02:29 | stock | 1 | 28756 | 11 | 2.143 | 13418.6 |
| 579 | 2025-03-28 05:12:02 | stock | 2 | 53800 | 120 | 1.656 | 32487.9 |
| 578 | 2025-03-20 17:23:22 | stock | 2 | 53800 | 120 | 8.580 | 6270.4 |
| 577 | 2025-03-19 08:28:01 | stock | 2 | 53800 | 120 | 1.563 | 34421.0 |
| 576 | 2025-03-16 21:52:53 | stock | 2 | 53800 | 120 | 4.563 | 11790.5 |
| 575 | 2025-03-16 21:36:51 | stock | 1 | 28756 | 11 | 0.500 | 57512.0 |
| 574 | 2025-03-12 16:06:05 | stock | 1 | 28756 | 11 | 1.466 | 19615.3 |
| 573 | 2025-03-09 07:15:09 | stock | 1 | 28756 | 11 | 2.533 | 11352.5 |
| 572 | 2025-02-26 09:44:06 | stock | 1 | 28756 | 11 | 2.123 | 13545.0 |
| 571 | 2025-02-26 05:44:52 | stock | 1 | 28756 | 11 | 1.063 | 27051.7 |
| 570 | 2025-02-26 03:28:05 | stock | 2 | 53800 | 120 | 8.143 | 6606.9 |
| 569 | 2025-02-26 02:40:24 | stock | 2 | 53800 | 120 | 10.080 | 5337.3 |
| 568 | 2025-02-26 02:19:28 | stock | 1 | 28756 | 11 | 1.283 | 22413.1 |
| 567 | 2025-02-23 17:56:17 | stock | 1 | 28756 | 11 | 1.890 | 15214.8 |
| 566 | 2025-02-08 04:26:21 | stock | 1 | 28756 | 11 | 2.216 | 12976.5 |