History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coplots"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 705 | 2025-11-28 03:13:03 | coplots | 1 | 69583 | 4 | 1.300 | 53525.4 |
| 704 | 2025-11-26 12:09:35 | coplots | 1 | 69583 | 4 | 2.420 | 28753.3 |
| 703 | 2025-11-16 05:00:13 | coplots | 1 | 69583 | 4 | 1.313 | 52995.4 |
| 702 | 2025-11-15 22:39:03 | coplots | 1 | 69583 | 4 | 1.280 | 54361.7 |
| 701 | 2025-11-12 14:20:11 | coplots | 1 | 69583 | 4 | 1.143 | 60877.5 |
| 700 | 2025-11-09 04:06:22 | coplots | 1 | 69583 | 4 | 1.233 | 56433.9 |
| 699 | 2025-10-25 12:38:15 | coplots | 1 | 69583 | 4 | 1.343 | 51811.6 |
| 698 | 2025-10-24 00:42:32 | coplots | 1 | 69583 | 4 | 1.263 | 55093.4 |
| 697 | 2025-10-21 20:31:14 | coplots | 1 | 69583 | 4 | 3.846 | 18092.3 |
| 696 | 2025-10-21 20:31:04 | coplots | 1 | 69583 | 4 | 5.766 | 12067.8 |
| 695 | 2025-10-20 23:59:52 | coplots | 1 | 69583 | 4 | 5.923 | 11747.9 |
| 694 | 2025-10-18 17:10:02 | coplots | 1 | 69583 | 4 | 1.280 | 54361.7 |
| 693 | 2025-10-02 18:09:21 | coplots | 1 | 69583 | 4 | 1.346 | 51696.1 |
| 692 | 2025-09-30 04:25:35 | coplots | 1 | 69583 | 4 | 1.296 | 53690.6 |
| 691 | 2025-09-26 14:24:49 | coplots | 1 | 69583 | 4 | 1.250 | 55666.4 |
| 690 | 2025-09-26 06:46:50 | coplots | 1 | 69583 | 4 | 1.216 | 57222.9 |
| 689 | 2025-09-19 23:06:58 | coplots | 1 | 69583 | 4 | 1.313 | 52995.4 |
| 688 | 2025-09-18 12:18:32 | coplots | 1 | 69583 | 4 | 1.110 | 62687.4 |
| 687 | 2025-08-26 04:15:02 | coplots | 1 | 69583 | 4 | 1.220 | 57035.2 |
| 686 | 2025-08-22 10:26:38 | coplots | 1 | 69583 | 4 | 1.126 | 61796.6 |
| 685 | 2025-08-10 17:37:53 | coplots | 1 | 69583 | 4 | 3.203 | 21724.3 |
| 684 | 2025-08-09 14:06:19 | coplots | 1 | 69583 | 4 | 2.796 | 24886.6 |
| 683 | 2025-08-05 04:39:08 | coplots | 1 | 69583 | 4 | 4.826 | 14418.4 |
| 682 | 2025-08-04 15:09:44 | coplots | 1 | 69583 | 4 | 2.640 | 26357.2 |
| 681 | 2025-08-02 00:32:45 | coplots | 1 | 69583 | 4 | 2.780 | 25029.9 |
| 680 | 2025-07-29 10:27:56 | coplots | 1 | 69583 | 4 | 2.830 | 24587.6 |
| 679 | 2025-07-28 16:12:29 | coplots | 3 | 134027 | 368 | 16.186 | 8280.4 |
| 678 | 2025-07-28 11:19:46 | coplots | 2 | 107671 | 23 | 21.466 | 5015.9 |
| 677 | 2025-07-28 08:55:38 | coplots | 3 | 134027 | 368 | 16.530 | 8108.1 |
| 676 | 2025-07-26 07:43:20 | coplots | 1 | 69583 | 4 | 6.720 | 10354.6 |
| 675 | 2025-07-23 05:13:39 | coplots | 1 | 69583 | 4 | 3.030 | 22964.7 |
| 674 | 2025-07-22 18:27:20 | coplots | 1 | 69583 | 4 | 4.516 | 15408.1 |
| 673 | 2025-07-22 00:05:31 | coplots | 1 | 69583 | 4 | 1.126 | 61796.6 |
| 672 | 2025-07-17 23:35:11 | coplots | 2 | 107671 | 23 | 9.110 | 11819.0 |
| 671 | 2025-07-12 08:23:43 | coplots | 1 | 69583 | 4 | 1.313 | 52995.4 |
| 670 | 2025-07-10 20:17:44 | coplots | 1 | 69583 | 4 | 5.313 | 13096.7 |
| 669 | 2025-07-08 05:36:09 | coplots | 2 | 107671 | 23 | 16.686 | 6452.8 |
| 668 | 2025-07-05 14:50:02 | coplots | 1 | 69583 | 4 | 7.080 | 9828.1 |
| 667 | 2025-06-29 12:31:17 | coplots | 2 | 107671 | 23 | 16.626 | 6476.1 |
| 666 | 2025-06-28 13:23:26 | coplots | 1 | 69583 | 4 | 6.730 | 10339.2 |
| 665 | 2025-06-16 14:21:31 | coplots | 2 | 107671 | 23 | 10.440 | 10313.3 |
| 664 | 2025-06-15 02:17:21 | coplots | 3 | 134027 | 368 | 7.156 | 18729.3 |
| 663 | 2025-06-15 01:31:44 | coplots | 3 | 134027 | 368 | 7.283 | 18402.7 |
| 662 | 2025-06-13 06:05:44 | coplots | 3 | 134027 | 368 | 45.630 | 2937.3 |
| 661 | 2025-06-12 10:53:59 | coplots | 1 | 69583 | 4 | 3.486 | 19960.7 |
| 660 | 2025-06-11 04:20:04 | coplots | 2 | 107671 | 23 | 22.486 | 4788.4 |
| 659 | 2025-06-11 03:21:59 | coplots | 3 | 134027 | 368 | 17.203 | 7790.9 |
| 658 | 2025-06-09 14:52:21 | coplots | 1 | 69583 | 4 | 1.330 | 52318.0 |
| 657 | 2025-06-08 05:17:25 | coplots | 1 | 69583 | 4 | 6.270 | 11097.8 |
| 656 | 2025-06-04 14:45:58 | coplots | 1 | 69583 | 4 | 7.360 | 9454.2 |
| 655 | 2025-06-02 05:34:51 | coplots | 3 | 134027 | 368 | 22.470 | 5964.7 |
| 654 | 2025-05-31 23:30:14 | coplots | 1 | 69583 | 4 | 7.970 | 8730.6 |
| 653 | 2025-05-31 06:56:31 | coplots | 1 | 69583 | 4 | 8.360 | 8323.3 |
| 652 | 2025-05-31 01:15:46 | coplots | 1 | 69583 | 4 | 3.063 | 22717.3 |
| 651 | 2025-05-30 10:58:55 | coplots | 1 | 69583 | 4 | 3.593 | 19366.3 |
| 650 | 2025-05-27 12:58:17 | coplots | 1 | 69583 | 4 | 5.060 | 13751.6 |
| 649 | 2025-05-23 21:31:05 | coplots | 2 | 107671 | 23 | 18.173 | 5924.8 |
| 648 | 2025-05-22 13:02:43 | coplots | 1 | 69583 | 4 | 4.983 | 13964.1 |
| 647 | 2025-05-20 11:47:49 | coplots | 1 | 69583 | 4 | 3.526 | 19734.3 |
| 646 | 2025-05-16 14:57:28 | coplots | 2 | 107671 | 23 | 13.703 | 7857.5 |
| 645 | 2025-05-15 01:49:50 | coplots | 3 | 134027 | 368 | 7.173 | 18684.9 |
| 644 | 2025-05-10 19:51:01 | coplots | 3 | 134027 | 368 | 35.236 | 3803.7 |
| 643 | 2025-05-08 04:50:47 | coplots | 1 | 69583 | 4 | 5.360 | 12981.9 |
| 642 | 2025-05-08 00:11:33 | coplots | 3 | 134027 | 368 | 33.473 | 4004.0 |
| 641 | 2025-05-02 14:41:28 | coplots | 1 | 69583 | 4 | 5.720 | 12164.9 |
| 640 | 2025-04-25 11:28:01 | coplots | 1 | 69583 | 4 | 3.030 | 22964.7 |
| 639 | 2025-04-24 01:36:24 | coplots | 3 | 134027 | 368 | 35.576 | 3767.3 |
| 638 | 2025-04-23 04:52:24 | coplots | 3 | 134027 | 368 | 39.033 | 3433.7 |
| 637 | 2025-04-23 00:00:17 | coplots | 3 | 134027 | 368 | 39.546 | 3389.1 |
| 636 | 2025-04-21 06:07:02 | coplots | 2 | 107671 | 23 | 17.626 | 6108.6 |
| 635 | 2025-04-21 03:56:24 | coplots | 3 | 134027 | 368 | 35.253 | 3801.9 |
| 634 | 2025-04-20 10:25:37 | coplots | 1 | 69583 | 4 | 1.170 | 59472.6 |
| 633 | 2025-04-04 04:29:10 | coplots | 1 | 69583 | 4 | 6.190 | 11241.2 |
| 632 | 2025-04-03 12:49:05 | coplots | 2 | 107671 | 23 | 2.890 | 37256.4 |
| 631 | 2025-04-01 07:47:21 | coplots | 3 | 134027 | 368 | 9.940 | 13483.6 |
| 630 | 2025-03-29 17:07:15 | coplots | 1 | 69583 | 4 | 5.076 | 13708.2 |
| 629 | 2025-03-27 15:12:01 | coplots | 3 | 134027 | 368 | 43.643 | 3071.0 |
| 628 | 2025-03-27 02:31:27 | coplots | 3 | 134027 | 368 | 42.560 | 3149.1 |
| 627 | 2025-03-27 02:14:09 | coplots | 2 | 107671 | 23 | 22.720 | 4739.0 |
| 626 | 2025-03-26 00:50:03 | coplots | 1 | 69583 | 4 | 1.313 | 52995.4 |
| 625 | 2025-03-25 02:17:57 | coplots | 3 | 134027 | 368 | 40.063 | 3345.4 |
| 624 | 2025-03-21 21:57:36 | coplots | 2 | 107671 | 23 | 13.766 | 7821.5 |
| 623 | 2025-03-21 21:05:47 | coplots | 3 | 134027 | 368 | 6.610 | 20276.4 |
| 622 | 2025-03-20 13:07:20 | coplots | 1 | 69583 | 4 | 4.453 | 15626.1 |
| 621 | 2025-03-19 12:09:23 | coplots | 1 | 69583 | 4 | 1.190 | 58473.1 |
| 620 | 2025-03-16 11:43:13 | coplots | 1 | 69583 | 4 | 4.170 | 16686.6 |
| 619 | 2025-03-04 04:41:43 | coplots | 1 | 69583 | 4 | 3.283 | 21194.9 |
| 618 | 2025-02-28 18:15:13 | coplots | 1 | 69583 | 4 | 6.063 | 11476.7 |
| 617 | 2025-02-18 10:23:31 | coplots | 1 | 69583 | 4 | 4.623 | 15051.5 |
| 616 | 2025-01-23 22:31:33 | coplots | 1 | 69583 | 4 | 5.173 | 13451.2 |
| 615 | 2025-01-17 05:01:01 | coplots | 1 | 69583 | 4 | 6.393 | 10884.2 |
| 614 | 2025-01-15 06:12:16 | coplots | 1 | 69583 | 4 | 5.236 | 13289.3 |
| 613 | 2025-01-15 03:58:11 | coplots | 1 | 69583 | 4 | 5.750 | 12101.4 |
| 612 | 2024-12-30 07:27:04 | coplots | 1 | 69583 | 4 | 5.686 | 12237.6 |
| 611 | 2024-12-20 03:10:57 | coplots | 1 | 69583 | 4 | 8.203 | 8482.6 |
| 610 | 2024-12-12 06:22:14 | coplots | 1 | 69583 | 4 | 6.080 | 11444.6 |
| 609 | 2024-11-26 05:31:00 | coplots | 1 | 69583 | 4 | 5.890 | 11813.8 |
| 608 | 2024-11-19 18:19:03 | coplots | 1 | 69583 | 4 | 2.673 | 26031.8 |
| 607 | 2024-11-11 01:23:07 | coplots | 2 | 107671 | 23 | 16.860 | 6386.2 |
| 606 | 2024-11-10 02:48:14 | coplots | 1 | 69583 | 4 | 6.126 | 11358.6 |