History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"example"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 639 | 2026-01-31 01:49:31 | example | 4 | 151207 | 922 | 16.830 | 8984.4 |
| 638 | 2026-01-28 15:07:24 | example | 4 | 151207 | 922 | 12.313 | 12280.3 |
| 637 | 2026-01-27 01:06:42 | example | 4 | 151207 | 922 | 17.483 | 8648.8 |
| 636 | 2026-01-26 23:47:06 | example | 4 | 151207 | 922 | 17.030 | 8878.9 |
| 635 | 2026-01-26 16:45:42 | example | 1 | 69583 | 3 | 1.186 | 58670.3 |
| 634 | 2026-01-25 14:42:43 | example | 4 | 151207 | 922 | 10.923 | 13843.0 |
| 633 | 2026-01-22 07:28:06 | example | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 632 | 2026-01-22 04:01:44 | example | 1 | 69583 | 3 | 2.266 | 30707.4 |
| 631 | 2026-01-21 22:10:11 | example | 1 | 69583 | 3 | 8.153 | 8534.6 |
| 630 | 2026-01-18 11:17:47 | example | 4 | 151207 | 922 | 11.640 | 12990.3 |
| 629 | 2026-01-12 23:21:01 | example | 4 | 151207 | 922 | 9.846 | 15357.2 |
| 628 | 2026-01-10 12:17:10 | example | 3 | 134027 | 87 | 13.423 | 9984.9 |
| 627 | 2026-01-10 03:30:13 | example | 4 | 151207 | 922 | 11.863 | 12746.1 |
| 626 | 2025-12-31 16:56:40 | example | 4 | 151207 | 922 | 16.236 | 9313.1 |
| 625 | 2025-12-29 11:57:13 | example | 3 | 134027 | 87 | 6.296 | 21287.6 |
| 624 | 2025-12-29 11:01:17 | example | 2 | 107671 | 11 | 3.406 | 31612.2 |
| 623 | 2025-12-29 08:51:39 | example | 3 | 134027 | 87 | 6.453 | 20769.7 |
| 622 | 2025-12-28 23:43:10 | example | 2 | 107671 | 11 | 4.203 | 25617.7 |
| 621 | 2025-12-28 20:17:06 | example | 2 | 107671 | 11 | 3.390 | 31761.4 |
| 620 | 2025-12-28 17:59:16 | example | 3 | 134027 | 87 | 6.750 | 19855.9 |
| 619 | 2025-12-27 19:21:19 | example | 2 | 107671 | 11 | 2.983 | 36094.9 |
| 618 | 2025-12-27 10:50:16 | example | 3 | 134027 | 87 | 8.156 | 16432.9 |
| 617 | 2025-12-27 10:21:53 | example | 3 | 134027 | 87 | 6.936 | 19323.4 |
| 616 | 2025-12-26 00:24:43 | example | 2 | 107671 | 11 | 3.483 | 30913.3 |
| 615 | 2025-12-25 20:41:48 | example | 4 | 151207 | 922 | 11.110 | 13610.0 |
| 614 | 2025-12-25 10:51:24 | example | 4 | 151207 | 922 | 10.940 | 13821.5 |
| 613 | 2025-12-21 16:21:38 | example | 4 | 151207 | 922 | 13.126 | 11519.7 |
| 612 | 2025-12-21 16:21:28 | example | 4 | 151207 | 922 | 15.283 | 9893.8 |
| 611 | 2025-12-20 16:37:54 | example | 1 | 69583 | 3 | 1.343 | 51811.6 |
| 610 | 2025-12-20 05:15:46 | example | 4 | 151207 | 922 | 10.140 | 14911.9 |
| 609 | 2025-12-15 00:51:11 | example | 1 | 69583 | 3 | 1.236 | 56296.9 |
| 608 | 2025-12-14 08:22:21 | example | 4 | 151207 | 922 | 11.346 | 13326.9 |
| 607 | 2025-12-11 09:06:37 | example | 1 | 69583 | 3 | 1.280 | 54361.7 |
| 606 | 2025-12-08 12:32:01 | example | 4 | 151207 | 922 | 11.406 | 13256.8 |
| 605 | 2025-11-30 10:15:13 | example | 4 | 151207 | 922 | 12.030 | 12569.2 |
| 604 | 2025-11-24 22:37:25 | example | 4 | 151207 | 922 | 33.236 | 4549.5 |
| 603 | 2025-11-22 19:41:16 | example | 4 | 151207 | 922 | 13.500 | 11200.5 |
| 602 | 2025-11-22 12:03:19 | example | 3 | 134027 | 87 | 7.750 | 17293.8 |
| 601 | 2025-11-21 21:25:50 | example | 2 | 107671 | 11 | 8.123 | 13255.1 |
| 600 | 2025-11-20 17:56:40 | example | 4 | 151207 | 922 | 11.300 | 13381.2 |
| 599 | 2025-11-16 16:30:15 | example | 1 | 69583 | 3 | 1.313 | 52995.4 |
| 598 | 2025-11-15 13:26:33 | example | 4 | 151207 | 922 | 9.843 | 15361.9 |
| 597 | 2025-11-15 05:57:18 | example | 4 | 151207 | 922 | 11.326 | 13350.4 |
| 596 | 2025-11-15 01:51:22 | example | 4 | 151207 | 922 | 28.360 | 5331.7 |
| 595 | 2025-11-12 05:46:11 | example | 4 | 151207 | 922 | 10.376 | 14572.8 |
| 594 | 2025-11-11 22:02:43 | example | 2 | 107671 | 11 | 3.250 | 33129.5 |
| 593 | 2025-11-08 01:53:58 | example | 4 | 151207 | 922 | 11.173 | 13533.2 |
| 592 | 2025-11-07 10:23:40 | example | 4 | 151207 | 922 | 24.283 | 6226.9 |
| 591 | 2025-11-07 04:04:13 | example | 4 | 151207 | 922 | 12.453 | 12142.2 |
| 590 | 2025-11-07 00:02:57 | example | 4 | 151207 | 922 | 12.156 | 12438.9 |
| 589 | 2025-11-06 23:22:18 | example | 4 | 151207 | 922 | 13.110 | 11533.7 |
| 588 | 2025-11-06 01:08:56 | example | 4 | 151207 | 922 | 10.423 | 14507.1 |
| 587 | 2025-11-04 21:33:08 | example | 4 | 151207 | 922 | 11.546 | 13096.1 |
| 586 | 2025-11-04 18:39:01 | example | 2 | 107671 | 11 | 3.406 | 31612.2 |
| 585 | 2025-11-02 19:37:34 | example | 3 | 134027 | 87 | 6.580 | 20368.8 |
| 584 | 2025-11-02 01:37:56 | example | 2 | 107671 | 11 | 3.046 | 35348.3 |
| 583 | 2025-11-01 19:49:22 | example | 2 | 107671 | 11 | 3.406 | 31612.2 |
| 582 | 2025-11-01 19:04:47 | example | 2 | 107671 | 11 | 3.203 | 33615.7 |
| 581 | 2025-11-01 13:03:49 | example | 3 | 134027 | 87 | 6.016 | 22278.4 |
| 580 | 2025-10-31 18:20:12 | example | 3 | 134027 | 87 | 5.750 | 23309.0 |
| 579 | 2025-10-29 13:05:02 | example | 4 | 151207 | 922 | 9.876 | 15310.6 |
| 578 | 2025-10-28 21:05:26 | example | 2 | 107671 | 11 | 3.033 | 35499.8 |
| 577 | 2025-10-28 11:29:20 | example | 4 | 151207 | 922 | 11.733 | 12887.3 |
| 576 | 2025-10-27 13:21:14 | example | 4 | 151207 | 922 | 11.750 | 12868.7 |
| 575 | 2025-10-27 01:27:33 | example | 1 | 69583 | 3 | 1.200 | 57985.8 |
| 574 | 2025-10-22 00:57:32 | example | 1 | 69583 | 3 | 5.250 | 13253.9 |
| 573 | 2025-10-22 00:57:15 | example | 1 | 69583 | 3 | 5.656 | 12302.5 |
| 572 | 2025-10-22 00:57:04 | example | 1 | 69583 | 3 | 8.186 | 8500.2 |
| 571 | 2025-10-22 00:56:45 | example | 1 | 69583 | 3 | 5.783 | 12032.3 |
| 570 | 2025-10-19 05:58:04 | example | 4 | 151207 | 922 | 10.393 | 14548.9 |
| 569 | 2025-10-17 13:49:01 | example | 4 | 151207 | 922 | 10.500 | 14400.7 |
| 568 | 2025-10-16 19:49:08 | example | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 567 | 2025-10-14 15:38:53 | example | 4 | 151207 | 922 | 11.673 | 12953.6 |
| 566 | 2025-10-14 01:13:37 | example | 4 | 151207 | 922 | 10.343 | 14619.3 |
| 565 | 2025-10-13 19:13:41 | example | 4 | 151207 | 922 | 11.596 | 13039.6 |
| 564 | 2025-10-08 10:46:50 | example | 4 | 151207 | 922 | 14.046 | 10765.1 |
| 563 | 2025-10-01 09:16:05 | example | 4 | 151207 | 922 | 10.640 | 14211.2 |
| 562 | 2025-09-29 22:14:33 | example | 4 | 151207 | 922 | 11.580 | 13057.6 |
| 561 | 2025-09-25 10:32:47 | example | 4 | 151207 | 922 | 42.190 | 3584.0 |
| 560 | 2025-09-22 13:22:01 | example | 3 | 134027 | 87 | 10.140 | 13217.7 |
| 559 | 2025-09-20 10:22:36 | example | 4 | 151207 | 922 | 11.313 | 13365.8 |
| 558 | 2025-09-18 15:03:08 | example | 1 | 69583 | 3 | 5.360 | 12981.9 |
| 557 | 2025-09-13 20:33:58 | example | 3 | 134027 | 87 | 6.346 | 21119.9 |
| 556 | 2025-09-13 15:58:47 | example | 4 | 151207 | 922 | 10.453 | 14465.4 |
| 555 | 2025-09-12 17:56:49 | example | 4 | 151207 | 922 | 11.373 | 13295.3 |
| 554 | 2025-09-11 23:33:06 | example | 3 | 134027 | 87 | 6.500 | 20619.5 |
| 553 | 2025-09-09 08:54:39 | example | 4 | 151207 | 922 | 11.763 | 12854.5 |
| 552 | 2025-09-03 11:38:24 | example | 4 | 151207 | 922 | 11.436 | 13222.0 |
| 551 | 2025-09-02 12:43:29 | example | 2 | 107671 | 11 | 2.843 | 37872.3 |
| 550 | 2025-09-02 09:08:51 | example | 3 | 134027 | 87 | 6.766 | 19808.9 |
| 549 | 2025-09-01 10:06:59 | example | 1 | 69583 | 3 | 1.080 | 64428.7 |
| 548 | 2025-09-01 04:02:07 | example | 4 | 151207 | 922 | 17.780 | 8504.3 |
| 547 | 2025-08-28 00:50:07 | example | 4 | 151207 | 922 | 11.983 | 12618.5 |
| 546 | 2025-08-23 06:25:11 | example | 1 | 69583 | 3 | 8.046 | 8648.1 |
| 545 | 2025-08-19 06:57:01 | example | 1 | 69583 | 3 | 5.046 | 13789.7 |
| 544 | 2025-08-09 06:20:02 | example | 1 | 69583 | 3 | 7.016 | 9917.8 |
| 543 | 2025-08-08 19:45:26 | example | 1 | 69583 | 3 | 1.186 | 58670.3 |
| 542 | 2025-08-05 18:31:15 | example | 1 | 69583 | 3 | 1.046 | 66522.9 |
| 541 | 2025-07-28 08:31:43 | example | 1 | 69583 | 3 | 2.750 | 25302.9 |
| 540 | 2025-07-25 19:39:05 | example | 1 | 69583 | 3 | 1.330 | 52318.0 |