History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"treads"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 613 | 2025-11-02 02:31:27 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
| 612 | 2025-10-31 21:37:45 | treads | 1 | 48755 | 10 | 0.856 | 56956.8 |
| 611 | 2025-10-25 12:51:18 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 610 | 2025-10-25 12:22:15 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
| 609 | 2025-10-25 06:23:28 | treads | 1 | 48755 | 10 | 0.906 | 53813.5 |
| 608 | 2025-10-25 05:58:51 | treads | 1 | 48755 | 10 | 0.796 | 61250.0 |
| 607 | 2025-10-24 22:17:07 | treads | 1 | 48755 | 10 | 0.936 | 52088.7 |
| 606 | 2025-10-23 22:31:57 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 605 | 2025-10-19 17:47:28 | treads | 1 | 48755 | 10 | 2.000 | 24377.5 |
| 604 | 2025-10-18 20:27:35 | treads | 1 | 48755 | 10 | 0.876 | 55656.4 |
| 603 | 2025-10-16 09:40:55 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 602 | 2025-10-16 09:14:14 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 601 | 2025-10-11 08:09:53 | treads | 1 | 48755 | 10 | 0.763 | 63899.1 |
| 600 | 2025-10-06 08:02:15 | treads | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 599 | 2025-10-02 09:43:28 | treads | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 598 | 2025-10-01 18:52:47 | treads | 1 | 48755 | 10 | 0.780 | 62506.4 |
| 597 | 2025-09-30 09:49:13 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 596 | 2025-09-29 04:46:05 | treads | 1 | 48755 | 10 | 1.720 | 28345.9 |
| 595 | 2025-09-24 06:21:24 | treads | 1 | 48755 | 10 | 0.826 | 59025.4 |
| 594 | 2025-09-23 23:23:01 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 593 | 2025-09-23 14:50:18 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 592 | 2025-09-21 19:39:45 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 591 | 2025-09-21 06:47:20 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 590 | 2025-09-18 08:59:13 | treads | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 589 | 2025-09-16 21:01:07 | treads | 1 | 48755 | 10 | 0.920 | 52994.6 |
| 588 | 2025-09-16 20:06:11 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 587 | 2025-09-16 08:48:05 | treads | 1 | 48755 | 10 | 0.966 | 50471.0 |
| 586 | 2025-09-16 05:52:20 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 585 | 2025-09-13 02:40:27 | treads | 1 | 48755 | 10 | 0.920 | 52994.6 |
| 584 | 2025-09-12 06:08:19 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
| 583 | 2025-09-04 09:23:26 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 582 | 2025-08-25 13:08:25 | treads | 2 | 82551 | 111 | 10.423 | 7920.1 |
| 581 | 2025-08-24 22:13:24 | treads | 1 | 48755 | 10 | 3.656 | 13335.6 |
| 580 | 2025-08-24 12:33:21 | treads | 1 | 48755 | 10 | 3.346 | 14571.1 |
| 579 | 2025-08-24 12:21:49 | treads | 1 | 48755 | 10 | 4.376 | 11141.5 |
| 578 | 2025-08-24 06:09:57 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 577 | 2025-08-19 04:23:29 | treads | 1 | 48755 | 10 | 2.143 | 22750.8 |
| 576 | 2025-08-13 10:39:36 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 575 | 2025-08-10 23:21:01 | treads | 1 | 48755 | 10 | 2.126 | 22932.7 |
| 574 | 2025-08-03 08:28:19 | treads | 1 | 48755 | 10 | 0.810 | 60191.4 |
| 573 | 2025-07-31 12:22:19 | treads | 1 | 48755 | 10 | 0.763 | 63899.1 |
| 572 | 2025-07-30 23:43:08 | treads | 1 | 48755 | 10 | 2.360 | 20658.9 |
| 571 | 2025-07-30 03:51:16 | treads | 1 | 48755 | 10 | 2.236 | 21804.6 |
| 570 | 2025-07-25 05:43:59 | treads | 1 | 48755 | 10 | 4.423 | 11023.1 |
| 569 | 2025-07-24 19:58:22 | treads | 1 | 48755 | 10 | 1.923 | 25353.6 |
| 568 | 2025-07-24 07:08:51 | treads | 1 | 48755 | 10 | 2.810 | 17350.5 |
| 567 | 2025-07-23 23:23:47 | treads | 1 | 48755 | 10 | 4.783 | 10193.4 |
| 566 | 2025-07-23 09:31:25 | treads | 1 | 48755 | 10 | 3.500 | 13930.0 |
| 565 | 2025-07-22 09:57:37 | treads | 1 | 48755 | 10 | 0.856 | 56956.8 |
| 564 | 2025-07-21 17:18:20 | treads | 1 | 48755 | 10 | 3.970 | 12280.9 |
| 563 | 2025-07-16 07:53:14 | treads | 1 | 48755 | 10 | 3.936 | 12386.9 |
| 562 | 2025-07-13 05:49:28 | treads | 1 | 48755 | 10 | 1.610 | 30282.6 |
| 561 | 2025-07-10 23:41:03 | treads | 1 | 48755 | 10 | 2.716 | 17951.0 |
| 560 | 2025-07-09 01:28:49 | treads | 1 | 48755 | 10 | 1.266 | 38511.1 |
| 559 | 2025-07-08 09:35:29 | treads | 1 | 48755 | 10 | 2.923 | 16679.8 |
| 558 | 2025-07-04 09:17:59 | treads | 2 | 82551 | 111 | 9.033 | 9138.8 |
| 557 | 2025-07-03 19:58:23 | treads | 2 | 82551 | 111 | 2.390 | 34540.2 |
| 556 | 2025-06-22 21:31:17 | treads | 1 | 48755 | 10 | 0.923 | 52822.3 |
| 555 | 2025-06-20 18:23:20 | treads | 1 | 48755 | 10 | 2.200 | 22161.4 |
| 554 | 2025-06-19 23:48:11 | treads | 1 | 48755 | 10 | 2.250 | 21668.9 |
| 553 | 2025-06-14 10:37:38 | treads | 2 | 82551 | 111 | 8.986 | 9186.6 |
| 552 | 2025-06-13 05:17:59 | treads | 1 | 48755 | 10 | 0.763 | 63899.1 |
| 551 | 2025-06-10 09:46:45 | treads | 1 | 48755 | 10 | 4.716 | 10338.2 |
| 550 | 2025-06-10 05:40:10 | treads | 1 | 48755 | 10 | 1.983 | 24586.5 |
| 549 | 2025-06-07 09:13:24 | treads | 1 | 48755 | 10 | 5.983 | 8148.9 |
| 548 | 2025-06-04 13:02:26 | treads | 1 | 48755 | 10 | 3.890 | 12533.4 |
| 547 | 2025-05-28 09:11:05 | treads | 1 | 48755 | 10 | 1.940 | 25131.4 |
| 546 | 2025-05-20 13:39:22 | treads | 1 | 48755 | 10 | 3.750 | 13001.3 |
| 545 | 2025-05-19 23:43:41 | treads | 1 | 48755 | 10 | 4.346 | 11218.4 |
| 544 | 2025-05-14 22:19:35 | treads | 1 | 48755 | 10 | 2.000 | 24377.5 |
| 543 | 2025-05-12 01:16:37 | treads | 1 | 48755 | 10 | 3.763 | 12956.4 |
| 542 | 2025-05-11 03:42:11 | treads | 1 | 48755 | 10 | 2.436 | 20014.4 |
| 541 | 2025-05-10 16:59:21 | treads | 1 | 48755 | 10 | 2.313 | 21078.7 |
| 540 | 2025-05-10 16:19:39 | treads | 1 | 48755 | 10 | 8.593 | 5673.8 |
| 539 | 2025-05-07 08:29:29 | treads | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 538 | 2025-05-03 14:27:13 | treads | 1 | 48755 | 10 | 0.920 | 52994.6 |
| 537 | 2025-05-02 07:03:18 | treads | 1 | 48755 | 10 | 3.843 | 12686.7 |
| 536 | 2025-04-20 12:06:30 | treads | 1 | 48755 | 10 | 4.470 | 10907.2 |
| 535 | 2025-04-11 10:32:12 | treads | 2 | 82551 | 111 | 10.813 | 7634.4 |
| 534 | 2025-04-09 05:59:03 | treads | 1 | 48755 | 10 | 6.220 | 7838.4 |
| 533 | 2025-04-09 02:37:32 | treads | 2 | 82551 | 111 | 15.640 | 5278.2 |
| 532 | 2025-04-08 09:08:36 | treads | 1 | 48755 | 10 | 1.266 | 38511.1 |
| 531 | 2025-04-04 09:23:36 | treads | 1 | 48755 | 10 | 2.563 | 19022.6 |
| 530 | 2025-03-31 08:13:27 | treads | 1 | 48755 | 10 | 2.780 | 17537.8 |
| 529 | 2025-03-20 15:02:57 | treads | 1 | 48755 | 10 | 3.623 | 13457.1 |
| 528 | 2025-03-19 23:16:10 | treads | 2 | 82551 | 111 | 13.123 | 6290.6 |
| 527 | 2025-03-18 23:00:55 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
| 526 | 2025-03-09 16:11:26 | treads | 2 | 82551 | 111 | 2.466 | 33475.7 |
| 525 | 2025-03-09 13:26:33 | treads | 2 | 82551 | 111 | 7.093 | 11638.4 |
| 524 | 2025-03-08 15:29:05 | treads | 1 | 48755 | 10 | 1.843 | 26454.2 |
| 523 | 2025-03-08 15:27:25 | treads | 2 | 82551 | 111 | 8.140 | 10141.4 |
| 522 | 2025-03-07 15:06:14 | treads | 1 | 48755 | 10 | 4.013 | 12149.3 |
| 521 | 2025-03-07 07:04:23 | treads | 1 | 48755 | 10 | 6.063 | 8041.4 |
| 520 | 2025-03-03 15:23:40 | treads | 1 | 48755 | 10 | 2.596 | 18780.8 |
| 519 | 2025-02-27 22:23:07 | treads | 1 | 48755 | 10 | 4.126 | 11816.5 |
| 518 | 2025-02-26 22:35:34 | treads | 1 | 48755 | 10 | 2.390 | 20399.6 |
| 517 | 2025-02-09 05:42:00 | treads | 2 | 82551 | 111 | 17.906 | 4610.2 |
| 516 | 2025-02-09 05:30:00 | treads | 1 | 48755 | 10 | 0.876 | 55656.4 |
| 515 | 2025-02-06 05:39:50 | treads | 2 | 82551 | 111 | 8.076 | 10221.8 |
| 514 | 2025-02-05 14:08:31 | treads | 1 | 48755 | 10 | 2.186 | 22303.3 |