History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"algorithm"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 690 | 2025-12-24 20:38:58 | algorithm | 3 | 148641 | 7 | 7.220 | 20587.4 |
| 689 | 2025-12-24 18:54:27 | algorithm | 5 | 174418 | 604 | 16.796 | 10384.5 |
| 688 | 2025-12-24 18:32:28 | algorithm | 2 | 121436 | 4 | 3.356 | 36184.7 |
| 687 | 2025-12-24 17:43:14 | algorithm | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 686 | 2025-12-24 14:30:43 | algorithm | 1 | 81242 | 2 | 1.280 | 63470.3 |
| 685 | 2025-12-12 02:08:55 | algorithm | 4 | 165329 | 48 | 12.800 | 12916.3 |
| 684 | 2025-12-08 07:03:36 | algorithm | 4 | 165329 | 48 | 12.673 | 13045.8 |
| 683 | 2025-12-06 12:22:06 | algorithm | 4 | 165329 | 48 | 10.470 | 15790.7 |
| 682 | 2025-12-05 20:11:34 | algorithm | 2 | 121436 | 4 | 3.140 | 38673.9 |
| 681 | 2025-12-02 03:12:24 | algorithm | 1 | 81242 | 2 | 1.326 | 61268.5 |
| 680 | 2025-12-02 03:10:57 | algorithm | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 679 | 2025-12-01 13:29:33 | algorithm | 4 | 165329 | 48 | 20.000 | 8266.5 |
| 678 | 2025-11-26 16:06:26 | algorithm | 4 | 165329 | 48 | 32.296 | 5119.2 |
| 677 | 2025-11-24 03:17:06 | algorithm | 4 | 165329 | 48 | 19.596 | 8436.9 |
| 676 | 2025-11-23 03:57:23 | algorithm | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 675 | 2025-11-22 21:28:08 | algorithm | 1 | 81242 | 2 | 1.280 | 63470.3 |
| 674 | 2025-11-22 20:09:09 | algorithm | 4 | 165329 | 48 | 12.296 | 13445.8 |
| 673 | 2025-11-22 20:07:09 | algorithm | 3 | 148641 | 7 | 6.203 | 23962.8 |
| 672 | 2025-11-22 19:43:51 | algorithm | 2 | 121436 | 4 | 3.593 | 33797.9 |
| 671 | 2025-11-22 16:53:29 | algorithm | 1 | 81242 | 2 | 1.310 | 62016.8 |
| 670 | 2025-11-22 06:29:08 | algorithm | 5 | 174418 | 604 | 21.800 | 8000.8 |
| 669 | 2025-11-21 22:38:55 | algorithm | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 668 | 2025-11-17 17:20:15 | algorithm | 1 | 81242 | 2 | 1.233 | 65889.7 |
| 667 | 2025-11-17 07:21:43 | algorithm | 3 | 148641 | 7 | 11.173 | 13303.6 |
| 666 | 2025-11-17 07:21:05 | algorithm | 5 | 174418 | 604 | 24.110 | 7234.3 |
| 665 | 2025-11-16 15:36:48 | algorithm | 3 | 148641 | 7 | 20.890 | 7115.4 |
| 664 | 2025-11-16 08:12:58 | algorithm | 5 | 174418 | 604 | 17.326 | 10066.8 |
| 663 | 2025-11-16 08:12:45 | algorithm | 4 | 165329 | 48 | 10.936 | 15117.9 |
| 662 | 2025-11-14 04:04:22 | algorithm | 5 | 174418 | 604 | 17.516 | 9957.6 |
| 661 | 2025-11-12 21:27:33 | algorithm | 3 | 148641 | 7 | 7.343 | 20242.5 |
| 660 | 2025-11-09 07:18:20 | algorithm | 5 | 174418 | 604 | 20.190 | 8638.8 |
| 659 | 2025-11-09 04:34:08 | algorithm | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 658 | 2025-11-08 22:08:26 | algorithm | 2 | 121436 | 4 | 3.126 | 38847.1 |
| 657 | 2025-11-08 22:08:09 | algorithm | 3 | 148641 | 7 | 6.623 | 22443.2 |
| 656 | 2025-11-08 22:07:50 | algorithm | 5 | 174418 | 604 | 16.546 | 10541.4 |
| 655 | 2025-11-08 17:16:55 | algorithm | 3 | 148641 | 7 | 6.080 | 24447.5 |
| 654 | 2025-11-05 23:43:00 | algorithm | 2 | 121436 | 4 | 3.513 | 34567.6 |
| 653 | 2025-11-04 20:07:03 | algorithm | 4 | 165329 | 48 | 23.640 | 6993.6 |
| 652 | 2025-11-04 20:06:46 | algorithm | 3 | 148641 | 7 | 14.673 | 10130.2 |
| 651 | 2025-11-03 16:01:36 | algorithm | 4 | 165329 | 48 | 13.063 | 12656.3 |
| 650 | 2025-11-03 04:29:11 | algorithm | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 649 | 2025-11-01 18:28:27 | algorithm | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 648 | 2025-10-28 08:41:09 | algorithm | 5 | 174418 | 604 | 18.313 | 9524.3 |
| 647 | 2025-10-25 18:07:40 | algorithm | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 646 | 2025-10-24 18:25:17 | algorithm | 1 | 81242 | 2 | 8.220 | 9883.5 |
| 645 | 2025-10-23 17:24:25 | algorithm | 1 | 81242 | 2 | 3.453 | 23527.9 |
| 644 | 2025-10-23 07:01:38 | algorithm | 1 | 81242 | 2 | 1.560 | 52078.2 |
| 643 | 2025-10-21 04:30:00 | algorithm | 1 | 81242 | 2 | 2.050 | 39630.2 |
| 642 | 2025-10-21 02:56:35 | algorithm | 5 | 174418 | 604 | 74.440 | 2343.1 |
| 641 | 2025-10-21 02:56:09 | algorithm | 5 | 174418 | 604 | 95.566 | 1825.1 |
| 640 | 2025-10-21 02:56:24 | algorithm | 5 | 174418 | 604 | 67.410 | 2587.4 |
| 639 | 2025-10-21 02:56:15 | algorithm | 5 | 174418 | 604 | 66.566 | 2620.2 |
| 638 | 2025-10-19 11:20:05 | algorithm | 5 | 174418 | 604 | 60.786 | 2869.4 |
| 637 | 2025-10-16 11:14:45 | algorithm | 5 | 174418 | 604 | 17.393 | 10028.1 |
| 636 | 2025-10-08 12:46:15 | algorithm | 4 | 165329 | 48 | 12.236 | 13511.7 |
| 635 | 2025-10-05 20:49:06 | algorithm | 5 | 174418 | 604 | 19.203 | 9082.9 |
| 634 | 2025-10-04 04:56:28 | algorithm | 5 | 174418 | 604 | 19.050 | 9155.8 |
| 633 | 2025-09-30 06:16:38 | algorithm | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 632 | 2025-09-30 06:11:43 | algorithm | 2 | 121436 | 4 | 3.093 | 39261.6 |
| 631 | 2025-09-29 22:15:09 | algorithm | 5 | 174418 | 604 | 17.483 | 9976.4 |
| 630 | 2025-09-28 21:56:50 | algorithm | 1 | 81242 | 2 | 1.280 | 63470.3 |
| 629 | 2025-09-28 21:08:32 | algorithm | 5 | 174418 | 604 | 26.720 | 6527.6 |
| 628 | 2025-09-28 10:10:16 | algorithm | 5 | 174418 | 604 | 23.296 | 7487.0 |
| 627 | 2025-09-27 12:00:58 | algorithm | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 626 | 2025-09-26 16:22:02 | algorithm | 5 | 174418 | 604 | 16.860 | 10345.1 |
| 625 | 2025-09-22 19:16:37 | algorithm | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 624 | 2025-09-19 10:23:42 | algorithm | 3 | 148641 | 7 | 6.906 | 21523.5 |
| 623 | 2025-09-15 00:08:06 | algorithm | 3 | 148641 | 7 | 9.423 | 15774.3 |
| 622 | 2025-09-14 17:24:14 | algorithm | 4 | 165329 | 48 | 10.830 | 15265.8 |
| 621 | 2025-09-14 15:51:18 | algorithm | 2 | 121436 | 4 | 3.690 | 32909.5 |
| 620 | 2025-09-14 12:41:03 | algorithm | 1 | 81242 | 2 | 1.280 | 63470.3 |
| 619 | 2025-09-13 20:04:58 | algorithm | 5 | 174418 | 604 | 17.706 | 9850.8 |
| 618 | 2025-09-10 20:44:02 | algorithm | 5 | 174418 | 604 | 21.126 | 8256.1 |
| 617 | 2025-09-10 09:10:01 | algorithm | 5 | 174418 | 604 | 18.250 | 9557.2 |
| 616 | 2025-09-10 02:48:06 | algorithm | 2 | 121436 | 4 | 3.500 | 34696.0 |
| 615 | 2025-09-10 02:47:44 | algorithm | 5 | 174418 | 604 | 19.016 | 9172.2 |
| 614 | 2025-09-09 23:59:33 | algorithm | 1 | 81242 | 2 | 1.283 | 63321.9 |
| 613 | 2025-08-27 00:19:27 | algorithm | 1 | 81242 | 2 | 2.016 | 40298.6 |
| 612 | 2025-08-21 11:14:53 | algorithm | 1 | 81242 | 2 | 5.670 | 14328.4 |
| 611 | 2025-08-16 14:10:27 | algorithm | 4 | 165329 | 48 | 12.563 | 13160.0 |
| 610 | 2025-08-15 17:25:04 | algorithm | 2 | 121436 | 4 | 13.080 | 9284.1 |
| 609 | 2025-08-15 14:04:00 | algorithm | 2 | 121436 | 4 | 8.516 | 14259.7 |
| 608 | 2025-08-15 13:39:02 | algorithm | 4 | 165329 | 48 | 28.016 | 5901.2 |
| 607 | 2025-08-15 06:09:35 | algorithm | 3 | 148641 | 7 | 17.096 | 8694.5 |
| 606 | 2025-08-15 05:43:39 | algorithm | 1 | 81242 | 2 | 3.393 | 23944.0 |
| 605 | 2025-08-14 19:06:33 | algorithm | 3 | 148641 | 7 | 6.796 | 21871.8 |
| 604 | 2025-08-14 19:03:55 | algorithm | 2 | 121436 | 4 | 9.453 | 12846.3 |
| 603 | 2025-08-14 18:15:18 | algorithm | 1 | 81242 | 2 | 1.516 | 53589.7 |
| 602 | 2025-08-10 18:29:05 | algorithm | 4 | 165329 | 48 | 27.110 | 6098.5 |
| 601 | 2025-08-08 19:42:16 | algorithm | 1 | 81242 | 2 | 1.343 | 60492.9 |
| 600 | 2025-08-08 19:41:50 | algorithm | 3 | 148641 | 7 | 6.343 | 23433.9 |
| 599 | 2025-08-08 19:41:27 | algorithm | 4 | 165329 | 48 | 11.563 | 14298.1 |
| 598 | 2025-08-08 19:41:12 | algorithm | 2 | 121436 | 4 | 3.640 | 33361.5 |
| 597 | 2025-08-01 08:36:52 | algorithm | 4 | 165329 | 48 | 53.800 | 3073.0 |
| 596 | 2025-07-27 07:20:16 | algorithm | 4 | 165329 | 48 | 63.090 | 2620.5 |
| 595 | 2025-07-26 22:22:45 | algorithm | 1 | 81242 | 2 | 4.486 | 18110.1 |
| 594 | 2025-07-25 01:28:09 | algorithm | 1 | 81242 | 2 | 5.516 | 14728.4 |
| 593 | 2025-07-25 00:20:08 | algorithm | 4 | 165329 | 48 | 56.660 | 2917.9 |
| 592 | 2025-07-23 05:02:11 | algorithm | 1 | 81242 | 2 | 3.720 | 21839.2 |
| 591 | 2025-07-22 21:38:59 | algorithm | 1 | 81242 | 2 | 3.593 | 22611.2 |