History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"scalable"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 665 | 2025-10-24 18:34:21 | scalable | 1 | 82945 | 4 | 1.580 | 52496.8 |
| 664 | 2025-10-22 05:31:28 | scalable | 3 | 146162 | 222 | 37.566 | 3890.8 |
| 663 | 2025-10-19 02:49:26 | scalable | 3 | 146162 | 222 | 11.000 | 13287.5 |
| 662 | 2025-10-17 17:16:53 | scalable | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 661 | 2025-10-15 02:48:30 | scalable | 3 | 146162 | 222 | 6.670 | 21913.3 |
| 660 | 2025-10-15 01:16:29 | scalable | 3 | 146162 | 222 | 7.313 | 19986.6 |
| 659 | 2025-10-11 02:37:45 | scalable | 1 | 82945 | 4 | 1.326 | 62552.8 |
| 658 | 2025-10-07 16:17:34 | scalable | 3 | 146162 | 222 | 7.300 | 20022.2 |
| 657 | 2025-10-03 20:42:58 | scalable | 1 | 82945 | 4 | 1.376 | 60279.8 |
| 656 | 2025-10-03 06:21:38 | scalable | 3 | 146162 | 222 | 7.703 | 18974.7 |
| 655 | 2025-10-01 13:10:11 | scalable | 1 | 82945 | 4 | 1.546 | 53651.4 |
| 654 | 2025-09-28 17:18:22 | scalable | 1 | 82945 | 4 | 1.516 | 54713.1 |
| 653 | 2025-09-22 22:35:56 | scalable | 1 | 82945 | 4 | 1.546 | 53651.4 |
| 652 | 2025-09-20 13:37:04 | scalable | 2 | 121059 | 34 | 3.453 | 35059.1 |
| 651 | 2025-09-18 19:58:38 | scalable | 3 | 146162 | 222 | 7.000 | 20880.3 |
| 650 | 2025-09-16 02:24:43 | scalable | 1 | 82945 | 4 | 1.516 | 54713.1 |
| 649 | 2025-09-16 01:39:01 | scalable | 2 | 121059 | 34 | 3.906 | 30993.1 |
| 648 | 2025-09-14 01:54:18 | scalable | 2 | 121059 | 34 | 3.296 | 36729.1 |
| 647 | 2025-09-11 10:37:15 | scalable | 2 | 121059 | 34 | 3.470 | 34887.3 |
| 646 | 2025-09-11 06:43:20 | scalable | 3 | 146162 | 222 | 7.830 | 18666.9 |
| 645 | 2025-09-10 02:19:34 | scalable | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 644 | 2025-09-07 15:49:21 | scalable | 1 | 82945 | 4 | 1.313 | 63172.1 |
| 643 | 2025-09-07 09:21:47 | scalable | 1 | 82945 | 4 | 1.610 | 51518.6 |
| 642 | 2025-08-29 01:15:03 | scalable | 2 | 121059 | 34 | 3.826 | 31641.1 |
| 641 | 2025-08-27 22:14:21 | scalable | 2 | 121059 | 34 | 3.906 | 30993.1 |
| 640 | 2025-08-27 16:55:20 | scalable | 1 | 82945 | 4 | 1.500 | 55296.7 |
| 639 | 2025-08-25 16:06:29 | scalable | 1 | 82945 | 4 | 4.970 | 16689.1 |
| 638 | 2025-08-23 03:51:38 | scalable | 2 | 121059 | 34 | 16.920 | 7154.8 |
| 637 | 2025-08-21 04:35:12 | scalable | 2 | 121059 | 34 | 8.796 | 13763.0 |
| 636 | 2025-08-20 17:07:02 | scalable | 1 | 82945 | 4 | 1.356 | 61168.9 |
| 635 | 2025-08-19 22:11:40 | scalable | 3 | 146162 | 222 | 7.236 | 20199.3 |
| 634 | 2025-08-19 04:28:30 | scalable | 1 | 82945 | 4 | 3.280 | 25288.1 |
| 633 | 2025-08-18 11:04:33 | scalable | 2 | 121059 | 34 | 3.983 | 30393.9 |
| 632 | 2025-08-18 11:02:26 | scalable | 3 | 146162 | 222 | 7.360 | 19859.0 |
| 631 | 2025-08-18 09:08:20 | scalable | 1 | 82945 | 4 | 1.483 | 55930.5 |
| 630 | 2025-08-09 14:28:41 | scalable | 1 | 82945 | 4 | 3.656 | 22687.4 |
| 629 | 2025-08-08 19:57:48 | scalable | 1 | 82945 | 4 | 1.313 | 63172.1 |
| 628 | 2025-08-05 02:24:07 | scalable | 3 | 146162 | 222 | 24.110 | 6062.3 |
| 627 | 2025-08-04 15:47:03 | scalable | 1 | 82945 | 4 | 1.483 | 55930.5 |
| 626 | 2025-08-04 01:46:45 | scalable | 1 | 82945 | 4 | 6.970 | 11900.3 |
| 625 | 2025-07-27 21:52:55 | scalable | 3 | 146162 | 222 | 38.830 | 3764.2 |
| 624 | 2025-07-27 02:23:21 | scalable | 1 | 82945 | 4 | 7.406 | 11199.7 |
| 623 | 2025-07-26 21:19:26 | scalable | 3 | 146162 | 222 | 33.300 | 4389.2 |
| 622 | 2025-07-25 20:21:56 | scalable | 3 | 146162 | 222 | 8.110 | 18022.4 |
| 621 | 2025-07-23 12:13:45 | scalable | 3 | 146162 | 222 | 51.563 | 2834.6 |
| 620 | 2025-07-22 22:51:32 | scalable | 1 | 82945 | 4 | 3.500 | 23698.6 |
| 619 | 2025-07-21 14:16:48 | scalable | 3 | 146162 | 222 | 7.610 | 19206.6 |
| 618 | 2025-07-21 04:13:33 | scalable | 2 | 121059 | 34 | 5.953 | 20335.8 |
| 617 | 2025-07-20 22:31:49 | scalable | 1 | 82945 | 4 | 1.580 | 52496.8 |
| 616 | 2025-07-20 14:41:39 | scalable | 1 | 82945 | 4 | 1.360 | 60989.0 |
| 615 | 2025-07-13 05:58:42 | scalable | 1 | 82945 | 4 | 4.126 | 20103.0 |
| 614 | 2025-07-09 21:34:20 | scalable | 1 | 82945 | 4 | 3.186 | 26034.2 |
| 613 | 2025-07-07 22:57:40 | scalable | 1 | 82945 | 4 | 3.533 | 23477.2 |
| 612 | 2025-07-07 06:35:51 | scalable | 1 | 82945 | 4 | 5.660 | 14654.6 |
| 611 | 2025-07-06 09:41:02 | scalable | 1 | 82945 | 4 | 1.313 | 63172.1 |
| 610 | 2025-06-22 20:59:05 | scalable | 1 | 82945 | 4 | 1.330 | 62364.7 |
| 609 | 2025-06-22 15:35:42 | scalable | 1 | 82945 | 4 | 3.473 | 23882.8 |
| 608 | 2025-06-15 18:42:01 | scalable | 1 | 82945 | 4 | 1.593 | 52068.4 |
| 607 | 2025-06-12 04:52:47 | scalable | 1 | 82945 | 4 | 7.580 | 10942.6 |
| 606 | 2025-06-06 22:54:45 | scalable | 1 | 82945 | 4 | 1.580 | 52496.8 |
| 605 | 2025-06-01 12:17:00 | scalable | 1 | 82945 | 4 | 7.126 | 11639.8 |
| 604 | 2025-05-28 15:04:01 | scalable | 1 | 82945 | 4 | 3.373 | 24590.9 |
| 603 | 2025-05-26 14:30:49 | scalable | 1 | 82945 | 4 | 8.953 | 9264.5 |
| 602 | 2025-05-24 02:13:28 | scalable | 1 | 82945 | 4 | 7.030 | 11798.7 |
| 601 | 2025-05-20 17:09:27 | scalable | 1 | 82945 | 4 | 7.220 | 11488.2 |
| 600 | 2025-05-17 20:57:41 | scalable | 1 | 82945 | 4 | 9.783 | 8478.5 |
| 599 | 2025-05-13 06:51:47 | scalable | 1 | 82945 | 4 | 6.110 | 13575.3 |
| 598 | 2025-05-11 18:01:48 | scalable | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 597 | 2025-05-10 04:31:29 | scalable | 1 | 82945 | 4 | 4.093 | 20265.1 |
| 596 | 2025-05-06 12:58:24 | scalable | 2 | 121059 | 34 | 14.970 | 8086.8 |
| 595 | 2025-05-04 22:56:59 | scalable | 1 | 82945 | 4 | 1.376 | 60279.8 |
| 594 | 2025-05-04 06:09:43 | scalable | 1 | 82945 | 4 | 10.826 | 7661.6 |
| 593 | 2025-04-29 04:59:01 | scalable | 1 | 82945 | 4 | 1.313 | 63172.1 |
| 592 | 2025-04-23 02:02:50 | scalable | 2 | 121059 | 34 | 23.066 | 5248.4 |
| 591 | 2025-04-23 01:00:20 | scalable | 1 | 82945 | 4 | 3.783 | 21925.7 |
| 590 | 2025-04-21 01:28:16 | scalable | 2 | 121059 | 34 | 19.360 | 6253.0 |
| 589 | 2025-04-20 15:29:29 | scalable | 1 | 82945 | 4 | 1.330 | 62364.7 |
| 588 | 2025-04-17 16:12:04 | scalable | 1 | 82945 | 4 | 1.690 | 49079.9 |
| 587 | 2025-04-12 10:31:37 | scalable | 3 | 146162 | 222 | 56.623 | 2581.3 |
| 586 | 2025-04-08 22:55:02 | scalable | 3 | 146162 | 222 | 34.270 | 4265.0 |
| 585 | 2025-04-06 22:45:24 | scalable | 3 | 146162 | 222 | 36.486 | 4006.0 |
| 584 | 2025-04-06 03:27:42 | scalable | 3 | 146162 | 222 | 38.066 | 3839.7 |
| 583 | 2025-04-04 04:21:08 | scalable | 1 | 82945 | 4 | 4.686 | 17700.6 |
| 582 | 2025-04-04 03:45:15 | scalable | 2 | 121059 | 34 | 19.483 | 6213.6 |
| 581 | 2025-04-03 22:59:50 | scalable | 1 | 82945 | 4 | 7.643 | 10852.4 |
| 580 | 2025-04-03 20:03:57 | scalable | 3 | 146162 | 222 | 35.970 | 4063.4 |
| 579 | 2025-03-31 07:26:47 | scalable | 1 | 82945 | 4 | 6.330 | 13103.5 |
| 578 | 2025-03-23 02:14:14 | scalable | 1 | 82945 | 4 | 10.390 | 7983.2 |
| 577 | 2025-03-17 17:34:42 | scalable | 1 | 82945 | 4 | 3.906 | 21235.3 |
| 576 | 2025-02-27 15:30:08 | scalable | 1 | 82945 | 4 | 6.156 | 13473.8 |
| 575 | 2025-02-27 04:08:26 | scalable | 1 | 82945 | 4 | 6.500 | 12760.8 |
| 574 | 2025-02-04 03:27:23 | scalable | 1 | 82945 | 4 | 10.126 | 8191.3 |
| 573 | 2025-01-30 05:51:32 | scalable | 1 | 82945 | 4 | 6.643 | 12486.1 |
| 572 | 2025-01-28 12:32:08 | scalable | 2 | 121059 | 34 | 13.173 | 9189.9 |
| 571 | 2025-01-28 11:26:35 | scalable | 3 | 146162 | 222 | 33.266 | 4393.7 |
| 570 | 2025-01-28 06:34:12 | scalable | 3 | 146162 | 222 | 38.223 | 3823.9 |
| 569 | 2025-01-28 05:19:05 | scalable | 2 | 121059 | 34 | 17.410 | 6953.4 |
| 568 | 2025-01-28 05:16:30 | scalable | 3 | 146162 | 222 | 33.393 | 4377.0 |
| 567 | 2025-01-28 01:06:13 | scalable | 3 | 146162 | 222 | 11.766 | 12422.4 |
| 566 | 2025-01-28 01:06:12 | scalable | 2 | 121059 | 34 | 6.096 | 19858.8 |