History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"examples"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 661 | 2026-04-17 14:56:44 | examples | 4 | 161609 | 910 | 11.250 | 14365.2 |
| 660 | 2026-04-15 18:18:27 | examples | 4 | 161609 | 910 | 14.796 | 10922.5 |
| 659 | 2026-04-15 04:01:15 | examples | 2 | 121059 | 9 | 18.580 | 6515.6 |
| 658 | 2026-04-15 04:00:09 | examples | 2 | 121059 | 9 | 19.716 | 6140.1 |
| 657 | 2026-04-14 17:35:52 | examples | 3 | 146162 | 89 | 7.440 | 19645.4 |
| 656 | 2026-04-13 14:27:43 | examples | 3 | 146162 | 89 | 6.190 | 23612.6 |
| 655 | 2026-04-13 12:59:21 | examples | 3 | 146162 | 89 | 6.593 | 22169.3 |
| 654 | 2026-04-13 09:43:14 | examples | 3 | 146162 | 89 | 37.283 | 3920.3 |
| 653 | 2026-04-13 06:14:50 | examples | 3 | 146162 | 89 | 23.483 | 6224.2 |
| 652 | 2026-04-07 13:35:34 | examples | 2 | 121059 | 9 | 4.453 | 27185.9 |
| 651 | 2026-04-06 06:19:38 | examples | 1 | 82945 | 3 | 1.483 | 55930.5 |
| 650 | 2026-04-04 11:32:38 | examples | 4 | 161609 | 910 | 81.223 | 1989.7 |
| 649 | 2026-04-04 06:49:43 | examples | 3 | 146162 | 89 | 6.173 | 23677.6 |
| 648 | 2026-04-03 05:38:52 | examples | 4 | 161609 | 910 | 62.783 | 2574.1 |
| 647 | 2026-04-02 19:16:15 | examples | 4 | 161609 | 910 | 67.090 | 2408.8 |
| 646 | 2026-04-02 18:43:13 | examples | 4 | 161609 | 910 | 42.410 | 3810.6 |
| 645 | 2026-04-02 03:37:29 | examples | 4 | 161609 | 910 | 54.130 | 2985.6 |
| 644 | 2026-04-01 06:00:49 | examples | 1 | 82945 | 3 | 5.360 | 15474.8 |
| 643 | 2026-03-31 10:34:13 | examples | 2 | 121059 | 9 | 16.860 | 7180.2 |
| 642 | 2026-03-29 16:31:47 | examples | 2 | 121059 | 9 | 3.580 | 33815.4 |
| 641 | 2026-03-29 14:13:16 | examples | 1 | 82945 | 3 | 1.343 | 61761.0 |
| 640 | 2026-03-29 06:44:12 | examples | 4 | 161609 | 910 | 12.203 | 13243.4 |
| 639 | 2026-03-25 12:56:05 | examples | 1 | 82945 | 3 | 4.813 | 17233.5 |
| 638 | 2026-03-25 05:02:20 | examples | 1 | 82945 | 3 | 7.533 | 11010.9 |
| 637 | 2026-03-23 23:49:29 | examples | 2 | 121059 | 9 | 18.033 | 6713.2 |
| 636 | 2026-03-23 23:48:44 | examples | 2 | 121059 | 9 | 24.766 | 4888.1 |
| 635 | 2026-03-22 09:44:26 | examples | 1 | 82945 | 3 | 2.686 | 30880.5 |
| 634 | 2026-03-19 13:56:56 | examples | 1 | 82945 | 3 | 4.106 | 20200.9 |
| 633 | 2026-03-18 19:10:13 | examples | 3 | 146162 | 89 | 7.876 | 18557.9 |
| 632 | 2026-03-17 16:57:01 | examples | 1 | 82945 | 3 | 3.343 | 24811.5 |
| 631 | 2026-03-09 22:15:33 | examples | 1 | 82945 | 3 | 1.373 | 60411.5 |
| 630 | 2026-03-08 17:08:45 | examples | 4 | 161609 | 910 | 13.063 | 12371.5 |
| 629 | 2026-03-07 07:52:07 | examples | 1 | 82945 | 3 | 1.326 | 62552.8 |
| 628 | 2026-03-07 01:11:44 | examples | 4 | 161609 | 910 | 14.953 | 10807.8 |
| 627 | 2026-03-06 09:53:07 | examples | 4 | 161609 | 910 | 11.720 | 13789.2 |
| 626 | 2026-03-06 07:49:55 | examples | 4 | 161609 | 910 | 12.283 | 13157.1 |
| 625 | 2026-03-06 03:45:56 | examples | 4 | 161609 | 910 | 12.656 | 12769.4 |
| 624 | 2026-03-05 03:36:16 | examples | 1 | 82945 | 3 | 1.403 | 59119.7 |
| 623 | 2026-03-04 23:59:25 | examples | 4 | 161609 | 910 | 11.283 | 14323.2 |
| 622 | 2026-03-04 21:39:19 | examples | 4 | 161609 | 910 | 12.923 | 12505.5 |
| 621 | 2026-03-04 03:10:22 | examples | 4 | 161609 | 910 | 12.406 | 13026.7 |
| 620 | 2026-03-03 06:13:27 | examples | 2 | 121059 | 9 | 3.563 | 33976.7 |
| 619 | 2026-03-03 04:29:21 | examples | 1 | 82945 | 3 | 1.313 | 63172.1 |
| 618 | 2026-02-28 18:18:45 | examples | 4 | 161609 | 910 | 11.143 | 14503.2 |
| 617 | 2026-02-28 17:21:01 | examples | 2 | 121059 | 9 | 3.203 | 37795.5 |
| 616 | 2026-02-28 16:51:01 | examples | 2 | 121059 | 9 | 3.783 | 32000.8 |
| 615 | 2026-02-28 10:05:53 | examples | 4 | 161609 | 910 | 12.440 | 12991.1 |
| 614 | 2026-02-27 03:23:45 | examples | 2 | 121059 | 9 | 5.860 | 20658.5 |
| 613 | 2026-02-27 03:12:32 | examples | 4 | 161609 | 910 | 11.580 | 13955.9 |
| 612 | 2026-02-27 02:40:22 | examples | 2 | 121059 | 9 | 10.500 | 11529.4 |
| 611 | 2026-02-26 19:51:21 | examples | 1 | 82945 | 3 | 1.423 | 58288.8 |
| 610 | 2026-02-25 05:54:56 | examples | 2 | 121059 | 9 | 4.126 | 29340.5 |
| 609 | 2026-02-24 09:37:00 | examples | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 608 | 2026-02-23 17:37:24 | examples | 2 | 121059 | 9 | 3.656 | 33112.4 |
| 607 | 2026-02-22 09:20:35 | examples | 1 | 82945 | 3 | 1.516 | 54713.1 |
| 606 | 2026-02-17 10:35:25 | examples | 3 | 146162 | 89 | 7.483 | 19532.5 |
| 605 | 2026-02-17 03:15:54 | examples | 3 | 146162 | 89 | 12.050 | 12129.6 |
| 604 | 2026-02-17 00:06:50 | examples | 4 | 161609 | 910 | 45.880 | 3522.4 |
| 603 | 2026-02-16 17:57:47 | examples | 4 | 161609 | 910 | 14.126 | 11440.5 |
| 602 | 2026-02-16 08:21:04 | examples | 3 | 146162 | 89 | 9.140 | 15991.5 |
| 601 | 2026-02-15 20:48:53 | examples | 2 | 121059 | 9 | 3.593 | 33693.0 |
| 600 | 2026-02-11 07:53:22 | examples | 2 | 121059 | 9 | 20.673 | 5855.9 |
| 599 | 2026-02-11 07:53:03 | examples | 2 | 121059 | 9 | 14.096 | 8588.2 |
| 598 | 2026-02-11 07:52:46 | examples | 2 | 121059 | 9 | 17.050 | 7100.2 |
| 597 | 2026-02-08 17:56:21 | examples | 1 | 82945 | 3 | 1.263 | 65673.0 |
| 596 | 2026-02-08 15:12:19 | examples | 1 | 82945 | 3 | 1.483 | 55930.5 |
| 595 | 2026-02-07 13:42:43 | examples | 1 | 82945 | 3 | 6.406 | 12948.0 |
| 594 | 2026-02-04 15:00:54 | examples | 2 | 121059 | 9 | 3.966 | 30524.2 |
| 593 | 2026-02-02 02:03:23 | examples | 2 | 121059 | 9 | 3.843 | 31501.2 |
| 592 | 2026-01-31 09:11:11 | examples | 1 | 82945 | 3 | 1.513 | 54821.5 |
| 591 | 2026-01-29 09:51:42 | examples | 1 | 82945 | 3 | 1.296 | 64000.8 |
| 590 | 2026-01-28 04:40:24 | examples | 4 | 161609 | 910 | 57.206 | 2825.0 |
| 589 | 2026-01-28 04:40:35 | examples | 4 | 161609 | 910 | 44.893 | 3599.9 |
| 588 | 2026-01-27 09:26:19 | examples | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 587 | 2026-01-25 13:00:01 | examples | 1 | 82945 | 3 | 1.453 | 57085.3 |
| 586 | 2026-01-22 14:33:11 | examples | 2 | 121059 | 9 | 4.250 | 28484.5 |
| 585 | 2026-01-20 21:38:08 | examples | 4 | 161609 | 910 | 24.736 | 6533.4 |
| 584 | 2026-01-20 09:53:51 | examples | 4 | 161609 | 910 | 13.486 | 11983.5 |
| 583 | 2026-01-18 17:25:06 | examples | 3 | 146162 | 89 | 6.436 | 22710.1 |
| 582 | 2026-01-18 00:24:44 | examples | 4 | 161609 | 910 | 63.920 | 2528.3 |
| 581 | 2026-01-18 00:24:54 | examples | 4 | 161609 | 910 | 48.633 | 3323.0 |
| 580 | 2026-01-17 20:43:36 | examples | 3 | 146162 | 89 | 23.500 | 6219.7 |
| 579 | 2026-01-16 22:44:04 | examples | 1 | 82945 | 3 | 1.313 | 63172.1 |
| 578 | 2026-01-16 09:37:59 | examples | 4 | 161609 | 910 | 12.390 | 13043.5 |
| 577 | 2026-01-15 03:12:15 | examples | 2 | 121059 | 9 | 3.813 | 31749.0 |
| 576 | 2026-01-14 23:49:54 | examples | 2 | 121059 | 9 | 3.546 | 34139.6 |
| 575 | 2026-01-14 23:31:11 | examples | 3 | 146162 | 89 | 7.530 | 19410.6 |
| 574 | 2026-01-14 15:47:46 | examples | 1 | 82945 | 3 | 1.500 | 55296.7 |
| 573 | 2026-01-14 13:47:56 | examples | 1 | 82945 | 3 | 1.263 | 65673.0 |
| 572 | 2026-01-13 01:04:25 | examples | 4 | 161609 | 910 | 11.673 | 13844.7 |
| 571 | 2026-01-12 20:12:32 | examples | 4 | 161609 | 910 | 13.810 | 11702.3 |
| 570 | 2026-01-11 03:42:00 | examples | 4 | 161609 | 910 | 11.873 | 13611.5 |
| 569 | 2026-01-10 14:36:53 | examples | 4 | 161609 | 910 | 10.953 | 14754.8 |
| 568 | 2026-01-10 09:59:18 | examples | 4 | 161609 | 910 | 11.393 | 14184.9 |
| 567 | 2026-01-10 02:41:29 | examples | 4 | 161609 | 910 | 12.216 | 13229.3 |
| 566 | 2026-01-08 14:21:19 | examples | 3 | 146162 | 89 | 6.310 | 23163.5 |
| 565 | 2026-01-07 23:42:49 | examples | 4 | 161609 | 910 | 11.626 | 13900.7 |
| 564 | 2026-01-01 13:03:20 | examples | 4 | 161609 | 910 | 12.423 | 13008.9 |
| 563 | 2026-01-01 07:58:01 | examples | 4 | 161609 | 910 | 13.233 | 12212.6 |
| 562 | 2026-01-01 02:44:38 | examples | 4 | 161609 | 910 | 11.626 | 13900.7 |