History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"breeds"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 632 | 2025-11-22 21:32:22 | breeds | 2 | 82551 | 113 | 4.530 | 18223.2 |
| 631 | 2025-11-22 17:39:32 | breeds | 1 | 48755 | 10 | 0.920 | 52994.6 |
| 630 | 2025-11-20 16:19:41 | breeds | 1 | 48755 | 10 | 0.846 | 57630.0 |
| 629 | 2025-11-19 00:36:14 | breeds | 1 | 48755 | 10 | 0.876 | 55656.4 |
| 628 | 2025-11-18 00:40:19 | breeds | 1 | 48755 | 10 | 0.923 | 52822.3 |
| 627 | 2025-11-16 03:51:51 | breeds | 2 | 82551 | 113 | 3.110 | 26543.7 |
| 626 | 2025-11-14 23:05:49 | breeds | 1 | 48755 | 10 | 0.876 | 55656.4 |
| 625 | 2025-11-07 12:02:19 | breeds | 2 | 82551 | 113 | 2.376 | 34743.7 |
| 624 | 2025-10-31 02:43:40 | breeds | 2 | 82551 | 113 | 2.656 | 31080.9 |
| 623 | 2025-10-30 11:54:15 | breeds | 1 | 48755 | 10 | 0.983 | 49598.2 |
| 622 | 2025-10-25 12:25:41 | breeds | 2 | 82551 | 113 | 2.560 | 32246.5 |
| 621 | 2025-10-25 05:53:28 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 620 | 2025-10-25 04:54:02 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 619 | 2025-10-25 04:24:13 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 618 | 2025-10-22 23:47:15 | breeds | 1 | 48755 | 10 | 2.030 | 24017.2 |
| 617 | 2025-10-19 02:09:11 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 616 | 2025-10-18 04:35:15 | breeds | 2 | 82551 | 113 | 2.576 | 32046.2 |
| 615 | 2025-10-14 12:59:06 | breeds | 2 | 82551 | 113 | 2.170 | 38041.9 |
| 614 | 2025-10-12 15:40:17 | breeds | 2 | 82551 | 113 | 4.156 | 19863.1 |
| 613 | 2025-10-07 08:43:16 | breeds | 2 | 82551 | 113 | 2.436 | 33887.9 |
| 612 | 2025-10-03 08:03:09 | breeds | 1 | 48755 | 10 | 0.766 | 63648.8 |
| 611 | 2025-09-28 18:54:58 | breeds | 2 | 82551 | 113 | 2.220 | 37185.1 |
| 610 | 2025-09-27 03:41:54 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 609 | 2025-09-26 10:50:59 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 608 | 2025-09-25 02:11:43 | breeds | 1 | 48755 | 10 | 0.906 | 53813.5 |
| 607 | 2025-09-25 01:58:22 | breeds | 1 | 48755 | 10 | 4.013 | 12149.3 |
| 606 | 2025-09-24 05:21:13 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 605 | 2025-09-22 11:03:15 | breeds | 1 | 48755 | 10 | 0.813 | 59969.2 |
| 604 | 2025-09-21 12:37:49 | breeds | 2 | 82551 | 113 | 2.393 | 34496.9 |
| 603 | 2025-09-20 05:58:33 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 602 | 2025-09-19 06:04:45 | breeds | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 601 | 2025-09-18 19:40:25 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 600 | 2025-09-18 04:06:26 | breeds | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 599 | 2025-09-17 17:44:58 | breeds | 1 | 48755 | 10 | 0.983 | 49598.2 |
| 598 | 2025-09-17 17:44:49 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 597 | 2025-09-16 21:55:08 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 596 | 2025-09-13 17:55:26 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 595 | 2025-09-13 14:16:54 | breeds | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 594 | 2025-09-10 06:24:45 | breeds | 1 | 48755 | 10 | 0.750 | 65006.7 |
| 593 | 2025-09-07 05:34:32 | breeds | 2 | 82551 | 113 | 2.326 | 35490.5 |
| 592 | 2025-09-06 23:33:36 | breeds | 1 | 48755 | 10 | 0.876 | 55656.4 |
| 591 | 2025-09-03 16:21:06 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 590 | 2025-09-03 12:48:09 | breeds | 1 | 48755 | 10 | 0.796 | 61250.0 |
| 589 | 2025-08-31 09:11:09 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 588 | 2025-08-28 01:52:44 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 587 | 2025-08-25 02:27:40 | breeds | 1 | 48755 | 10 | 4.046 | 12050.2 |
| 586 | 2025-08-24 18:19:05 | breeds | 1 | 48755 | 10 | 2.670 | 18260.3 |
| 585 | 2025-08-21 12:39:09 | breeds | 2 | 82551 | 113 | 6.736 | 12255.2 |
| 584 | 2025-08-18 00:49:40 | breeds | 1 | 48755 | 10 | 0.856 | 56956.8 |
| 583 | 2025-08-16 02:44:34 | breeds | 2 | 82551 | 113 | 2.233 | 36968.7 |
| 582 | 2025-08-14 16:34:11 | breeds | 1 | 48755 | 10 | 0.826 | 59025.4 |
| 581 | 2025-08-07 22:44:02 | breeds | 1 | 48755 | 10 | 0.906 | 53813.5 |
| 580 | 2025-08-02 09:28:17 | breeds | 2 | 82551 | 113 | 5.236 | 15766.0 |
| 579 | 2025-08-01 15:54:03 | breeds | 1 | 48755 | 10 | 2.690 | 18124.5 |
| 578 | 2025-08-01 07:11:18 | breeds | 2 | 82551 | 113 | 17.890 | 4614.4 |
| 577 | 2025-08-01 05:54:06 | breeds | 1 | 48755 | 10 | 6.173 | 7898.1 |
| 576 | 2025-07-31 11:12:26 | breeds | 2 | 82551 | 113 | 12.013 | 6871.8 |
| 575 | 2025-07-24 02:57:14 | breeds | 1 | 48755 | 10 | 4.330 | 11259.8 |
| 574 | 2025-07-23 06:39:20 | breeds | 1 | 48755 | 10 | 2.296 | 21234.8 |
| 573 | 2025-07-22 17:48:05 | breeds | 1 | 48755 | 10 | 4.080 | 11949.8 |
| 572 | 2025-07-22 15:11:46 | breeds | 1 | 48755 | 10 | 4.860 | 10031.9 |
| 571 | 2025-07-22 06:54:53 | breeds | 2 | 82551 | 113 | 13.233 | 6238.3 |
| 570 | 2025-07-22 06:42:18 | breeds | 2 | 82551 | 113 | 13.360 | 6179.0 |
| 569 | 2025-07-22 05:19:25 | breeds | 1 | 48755 | 10 | 0.810 | 60191.4 |
| 568 | 2025-07-18 21:45:51 | breeds | 2 | 82551 | 113 | 7.546 | 10939.7 |
| 567 | 2025-07-18 21:03:56 | breeds | 2 | 82551 | 113 | 7.763 | 10633.9 |
| 566 | 2025-07-18 07:50:41 | breeds | 1 | 48755 | 10 | 2.580 | 18897.3 |
| 565 | 2025-07-17 09:00:39 | breeds | 2 | 82551 | 113 | 9.546 | 8647.7 |
| 564 | 2025-07-17 08:58:44 | breeds | 1 | 48755 | 10 | 2.080 | 23439.9 |
| 563 | 2025-07-13 04:59:59 | breeds | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 562 | 2025-07-12 20:34:01 | breeds | 1 | 48755 | 10 | 1.470 | 33166.7 |
| 561 | 2025-07-12 05:12:23 | breeds | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 560 | 2025-07-08 21:06:08 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 559 | 2025-07-05 04:16:41 | breeds | 1 | 48755 | 10 | 5.580 | 8737.5 |
| 558 | 2025-07-02 14:57:27 | breeds | 1 | 48755 | 10 | 1.940 | 25131.4 |
| 557 | 2025-06-30 00:04:47 | breeds | 2 | 82551 | 113 | 7.233 | 11413.1 |
| 556 | 2025-06-29 03:31:58 | breeds | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 555 | 2025-06-28 23:04:26 | breeds | 1 | 48755 | 10 | 4.500 | 10834.4 |
| 554 | 2025-06-28 20:09:04 | breeds | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 553 | 2025-06-28 04:20:20 | breeds | 2 | 82551 | 113 | 16.516 | 4998.2 |
| 552 | 2025-06-26 18:44:32 | breeds | 2 | 82551 | 113 | 16.126 | 5119.1 |
| 551 | 2025-06-21 07:03:08 | breeds | 1 | 48755 | 10 | 6.373 | 7650.2 |
| 550 | 2025-06-21 02:31:54 | breeds | 1 | 48755 | 10 | 2.736 | 17819.8 |
| 549 | 2025-06-19 08:00:50 | breeds | 2 | 82551 | 113 | 15.936 | 5180.2 |
| 548 | 2025-06-19 04:36:23 | breeds | 2 | 82551 | 113 | 12.860 | 6419.2 |
| 547 | 2025-06-13 22:26:56 | breeds | 2 | 82551 | 113 | 17.533 | 4708.3 |
| 546 | 2025-06-12 03:27:30 | breeds | 1 | 48755 | 10 | 5.876 | 8297.3 |
| 545 | 2025-06-12 01:34:37 | breeds | 1 | 48755 | 10 | 4.300 | 11338.4 |
| 544 | 2025-06-10 17:00:10 | breeds | 2 | 82551 | 113 | 14.906 | 5538.1 |
| 543 | 2025-06-10 14:12:24 | breeds | 2 | 82551 | 113 | 15.080 | 5474.2 |
| 542 | 2025-06-10 01:32:22 | breeds | 1 | 48755 | 10 | 2.376 | 20519.8 |
| 541 | 2025-06-08 16:53:44 | breeds | 2 | 82551 | 113 | 7.923 | 10419.2 |
| 540 | 2025-06-04 05:37:41 | breeds | 1 | 48755 | 10 | 1.843 | 26454.2 |
| 539 | 2025-06-02 13:54:58 | breeds | 1 | 48755 | 10 | 4.140 | 11776.6 |
| 538 | 2025-06-01 07:42:40 | breeds | 1 | 48755 | 10 | 1.750 | 27860.0 |
| 537 | 2025-05-29 23:05:03 | breeds | 2 | 82551 | 113 | 2.703 | 30540.5 |
| 536 | 2025-05-28 04:59:25 | breeds | 1 | 48755 | 10 | 0.906 | 53813.5 |
| 535 | 2025-05-28 02:32:57 | breeds | 1 | 48755 | 10 | 1.780 | 27390.4 |
| 534 | 2025-05-28 01:17:36 | breeds | 2 | 82551 | 113 | 2.296 | 35954.3 |
| 533 | 2025-05-26 11:47:01 | breeds | 2 | 82551 | 113 | 6.330 | 13041.2 |