History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"downsides"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 680 | 2025-10-08 11:42:26 | downsides | 1 | 81242 | 4 | 1.390 | 58447.5 |
| 679 | 2025-09-11 21:00:51 | downsides | 2 | 121436 | 10 | 3.453 | 35168.3 |
| 678 | 2025-09-07 09:49:57 | downsides | 1 | 81242 | 4 | 1.390 | 58447.5 |
| 677 | 2025-09-07 03:35:43 | downsides | 2 | 121436 | 10 | 3.673 | 33061.8 |
| 676 | 2025-09-05 11:15:51 | downsides | 3 | 148641 | 55 | 13.280 | 11192.8 |
| 675 | 2025-09-04 16:44:20 | downsides | 4 | 165329 | 400 | 11.736 | 14087.3 |
| 674 | 2025-08-25 03:08:24 | downsides | 4 | 165329 | 400 | 58.313 | 2835.2 |
| 673 | 2025-08-23 04:44:58 | downsides | 1 | 81242 | 4 | 3.936 | 20640.8 |
| 672 | 2025-08-22 11:56:10 | downsides | 4 | 165329 | 400 | 12.610 | 13110.9 |
| 671 | 2025-08-21 15:12:58 | downsides | 2 | 121436 | 10 | 15.956 | 7610.7 |
| 670 | 2025-08-20 23:06:07 | downsides | 4 | 165329 | 400 | 39.816 | 4152.3 |
| 669 | 2025-08-20 12:41:48 | downsides | 1 | 81242 | 4 | 1.440 | 56418.1 |
| 668 | 2025-08-19 16:28:07 | downsides | 1 | 81242 | 4 | 6.030 | 13473.0 |
| 667 | 2025-07-31 18:51:10 | downsides | 4 | 165329 | 400 | 34.993 | 4724.6 |
| 666 | 2025-07-29 17:04:12 | downsides | 4 | 165329 | 400 | 47.096 | 3510.5 |
| 665 | 2025-07-29 04:46:48 | downsides | 4 | 165329 | 400 | 50.130 | 3298.0 |
| 664 | 2025-07-29 04:37:53 | downsides | 2 | 121436 | 10 | 17.486 | 6944.8 |
| 663 | 2025-07-25 19:02:26 | downsides | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 662 | 2025-07-25 17:19:22 | downsides | 4 | 165329 | 400 | 35.690 | 4632.4 |
| 661 | 2025-07-25 15:39:46 | downsides | 2 | 121436 | 10 | 13.266 | 9153.9 |
| 660 | 2025-07-25 02:39:33 | downsides | 1 | 81242 | 4 | 3.436 | 23644.4 |
| 659 | 2025-07-24 00:30:08 | downsides | 1 | 81242 | 4 | 7.470 | 10875.8 |
| 658 | 2025-07-20 04:18:44 | downsides | 2 | 121436 | 10 | 6.423 | 18906.4 |
| 657 | 2025-07-20 00:11:06 | downsides | 2 | 121436 | 10 | 3.643 | 33334.1 |
| 656 | 2025-07-19 21:38:23 | downsides | 1 | 81242 | 4 | 1.486 | 54671.6 |
| 655 | 2025-07-17 07:20:18 | downsides | 1 | 81242 | 4 | 3.623 | 22424.0 |
| 654 | 2025-07-12 09:58:44 | downsides | 1 | 81242 | 4 | 1.483 | 54782.2 |
| 653 | 2025-06-28 22:33:08 | downsides | 1 | 81242 | 4 | 6.703 | 12120.2 |
| 652 | 2025-06-23 11:05:06 | downsides | 1 | 81242 | 4 | 1.516 | 53589.7 |
| 651 | 2025-06-21 20:31:38 | downsides | 1 | 81242 | 4 | 6.750 | 12035.9 |
| 650 | 2025-06-21 15:06:59 | downsides | 4 | 165329 | 400 | 66.613 | 2481.9 |
| 649 | 2025-06-20 16:40:22 | downsides | 4 | 165329 | 400 | 69.923 | 2364.4 |
| 648 | 2025-06-19 04:24:03 | downsides | 4 | 165329 | 400 | 12.533 | 13191.5 |
| 647 | 2025-06-17 09:13:33 | downsides | 4 | 165329 | 400 | 15.236 | 10851.2 |
| 646 | 2025-06-16 03:03:42 | downsides | 1 | 81242 | 4 | 5.263 | 15436.4 |
| 645 | 2025-06-15 13:07:58 | downsides | 4 | 165329 | 400 | 11.936 | 13851.3 |
| 644 | 2025-06-13 12:50:09 | downsides | 1 | 81242 | 4 | 1.250 | 64993.6 |
| 643 | 2025-06-10 12:43:32 | downsides | 3 | 148641 | 55 | 18.863 | 7880.0 |
| 642 | 2025-06-09 04:10:58 | downsides | 1 | 81242 | 4 | 1.483 | 54782.2 |
| 641 | 2025-06-06 04:54:21 | downsides | 2 | 121436 | 10 | 17.810 | 6818.4 |
| 640 | 2025-05-31 12:59:55 | downsides | 1 | 81242 | 4 | 3.250 | 24997.5 |
| 639 | 2025-05-29 02:39:59 | downsides | 3 | 148641 | 55 | 33.240 | 4471.8 |
| 638 | 2025-05-27 02:56:27 | downsides | 3 | 148641 | 55 | 26.016 | 5713.4 |
| 637 | 2025-05-25 17:44:47 | downsides | 1 | 81242 | 4 | 1.436 | 56575.2 |
| 636 | 2025-05-24 01:09:17 | downsides | 3 | 148641 | 55 | 27.580 | 5389.4 |
| 635 | 2025-05-20 11:13:36 | downsides | 2 | 121436 | 10 | 17.783 | 6828.8 |
| 634 | 2025-05-15 10:27:38 | downsides | 1 | 81242 | 4 | 1.436 | 56575.2 |
| 633 | 2025-05-14 13:20:36 | downsides | 2 | 121436 | 10 | 9.130 | 13300.8 |
| 632 | 2025-05-13 23:16:52 | downsides | 3 | 148641 | 55 | 38.063 | 3905.1 |
| 631 | 2025-05-13 18:02:55 | downsides | 3 | 148641 | 55 | 26.486 | 5612.1 |
| 630 | 2025-05-12 21:52:31 | downsides | 1 | 81242 | 4 | 1.420 | 57212.7 |
| 629 | 2025-05-09 10:24:21 | downsides | 4 | 165329 | 400 | 48.423 | 3414.3 |
| 628 | 2025-05-09 03:26:36 | downsides | 4 | 165329 | 400 | 12.173 | 13581.6 |
| 627 | 2025-05-08 05:21:37 | downsides | 3 | 148641 | 55 | 26.516 | 5605.7 |
| 626 | 2025-05-08 02:54:02 | downsides | 1 | 81242 | 4 | 7.063 | 11502.5 |
| 625 | 2025-05-07 10:20:35 | downsides | 1 | 81242 | 4 | 5.393 | 15064.3 |
| 624 | 2025-05-06 18:07:44 | downsides | 4 | 165329 | 400 | 79.676 | 2075.0 |
| 623 | 2025-05-05 00:22:25 | downsides | 4 | 165329 | 400 | 15.020 | 11007.3 |
| 622 | 2025-05-04 16:00:24 | downsides | 4 | 165329 | 400 | 60.206 | 2746.1 |
| 621 | 2025-05-04 15:05:43 | downsides | 4 | 165329 | 400 | 45.673 | 3619.8 |
| 620 | 2025-05-03 03:38:25 | downsides | 4 | 165329 | 400 | 56.520 | 2925.1 |
| 619 | 2025-04-29 13:10:21 | downsides | 3 | 148641 | 55 | 14.703 | 10109.6 |
| 618 | 2025-04-27 15:44:19 | downsides | 4 | 165329 | 400 | 11.533 | 14335.3 |
| 617 | 2025-04-27 15:11:45 | downsides | 1 | 81242 | 4 | 1.263 | 64324.6 |
| 616 | 2025-04-27 01:33:02 | downsides | 4 | 165329 | 400 | 11.843 | 13960.1 |
| 615 | 2025-04-25 20:38:13 | downsides | 1 | 81242 | 4 | 9.830 | 8264.7 |
| 614 | 2025-04-24 06:25:51 | downsides | 3 | 148641 | 55 | 27.940 | 5320.0 |
| 613 | 2025-04-23 13:13:18 | downsides | 1 | 81242 | 4 | 5.423 | 14981.0 |
| 612 | 2025-04-23 09:45:27 | downsides | 4 | 165329 | 400 | 74.743 | 2212.0 |
| 611 | 2025-04-18 17:27:02 | downsides | 3 | 148641 | 55 | 16.796 | 8849.8 |
| 610 | 2025-04-18 17:22:03 | downsides | 2 | 121436 | 10 | 13.140 | 9241.7 |
| 609 | 2025-04-17 07:21:14 | downsides | 1 | 81242 | 4 | 1.393 | 58321.6 |
| 608 | 2025-04-13 02:29:52 | downsides | 4 | 165329 | 400 | 10.783 | 15332.4 |
| 607 | 2025-04-12 21:24:47 | downsides | 4 | 165329 | 400 | 12.483 | 13244.3 |
| 606 | 2025-04-06 05:03:17 | downsides | 2 | 121436 | 10 | 9.190 | 13213.9 |
| 605 | 2025-04-05 09:24:26 | downsides | 1 | 81242 | 4 | 1.420 | 57212.7 |
| 604 | 2025-04-04 22:14:56 | downsides | 4 | 165329 | 400 | 73.536 | 2248.3 |
| 603 | 2025-04-02 18:26:40 | downsides | 4 | 165329 | 400 | 73.170 | 2259.5 |
| 602 | 2025-04-02 09:27:52 | downsides | 3 | 148641 | 55 | 28.296 | 5253.1 |
| 601 | 2025-04-02 03:46:45 | downsides | 3 | 148641 | 55 | 32.796 | 4532.3 |
| 600 | 2025-04-02 02:58:30 | downsides | 3 | 148641 | 55 | 36.866 | 4031.9 |
| 599 | 2025-04-01 22:06:40 | downsides | 1 | 81242 | 4 | 6.906 | 11764.0 |
| 598 | 2025-04-01 03:47:11 | downsides | 4 | 165329 | 400 | 35.940 | 4600.1 |
| 597 | 2025-03-29 06:12:41 | downsides | 3 | 148641 | 55 | 21.203 | 7010.4 |
| 596 | 2025-03-29 04:01:54 | downsides | 1 | 81242 | 4 | 5.716 | 14213.1 |
| 595 | 2025-03-28 04:41:41 | downsides | 2 | 121436 | 10 | 7.376 | 16463.7 |
| 594 | 2025-03-27 20:02:33 | downsides | 2 | 121436 | 10 | 13.626 | 8912.1 |
| 593 | 2025-03-26 19:37:24 | downsides | 3 | 148641 | 55 | 6.890 | 21573.4 |
| 592 | 2025-03-26 18:15:22 | downsides | 3 | 148641 | 55 | 7.550 | 19687.5 |
| 591 | 2025-03-21 17:12:00 | downsides | 3 | 148641 | 55 | 37.923 | 3919.5 |
| 590 | 2025-03-19 14:59:03 | downsides | 1 | 81242 | 4 | 4.093 | 19849.0 |
| 589 | 2025-03-15 04:06:17 | downsides | 3 | 148641 | 55 | 30.300 | 4905.6 |
| 588 | 2025-03-14 17:48:28 | downsides | 3 | 148641 | 55 | 29.813 | 4985.8 |
| 587 | 2025-03-14 17:48:23 | downsides | 2 | 121436 | 10 | 14.763 | 8225.7 |
| 586 | 2025-03-07 20:43:50 | downsides | 1 | 81242 | 4 | 4.313 | 18836.5 |
| 585 | 2025-03-04 08:54:37 | downsides | 4 | 165329 | 400 | 97.693 | 1692.3 |
| 584 | 2025-02-23 04:01:15 | downsides | 4 | 165329 | 400 | 55.020 | 3004.9 |
| 583 | 2025-02-22 06:05:42 | downsides | 4 | 165329 | 400 | 57.110 | 2894.9 |
| 582 | 2025-02-21 23:33:37 | downsides | 4 | 165329 | 400 | 71.690 | 2306.2 |
| 581 | 2025-02-17 20:58:44 | downsides | 1 | 81242 | 4 | 5.283 | 15378.0 |