History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"linearity"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 652 | 2026-01-09 23:01:54 | linearity | 4 | 165329 | 245 | 13.126 | 12595.5 |
| 651 | 2026-01-07 17:28:01 | linearity | 2 | 121436 | 6 | 3.593 | 33797.9 |
| 650 | 2026-01-07 17:23:59 | linearity | 2 | 121436 | 6 | 3.250 | 37364.9 |
| 649 | 2026-01-06 13:37:23 | linearity | 2 | 121436 | 6 | 4.110 | 29546.5 |
| 648 | 2026-01-06 13:28:50 | linearity | 2 | 121436 | 6 | 9.403 | 12914.6 |
| 647 | 2026-01-05 08:57:48 | linearity | 3 | 148641 | 39 | 7.626 | 19491.3 |
| 646 | 2026-01-05 02:33:56 | linearity | 2 | 121436 | 6 | 3.766 | 32245.4 |
| 645 | 2026-01-04 10:48:46 | linearity | 4 | 165329 | 245 | 17.796 | 9290.2 |
| 644 | 2026-01-02 10:45:58 | linearity | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 643 | 2025-12-31 04:01:27 | linearity | 1 | 81242 | 2 | 1.576 | 51549.5 |
| 642 | 2025-12-28 08:31:35 | linearity | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 641 | 2025-12-27 06:24:40 | linearity | 1 | 81242 | 2 | 2.093 | 38816.1 |
| 640 | 2025-12-26 17:02:59 | linearity | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 639 | 2025-12-26 10:17:24 | linearity | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 638 | 2025-12-24 20:59:49 | linearity | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 637 | 2025-12-24 09:56:30 | linearity | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 636 | 2025-12-24 06:28:42 | linearity | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 635 | 2025-12-24 06:01:48 | linearity | 1 | 81242 | 2 | 3.076 | 26411.6 |
| 634 | 2025-12-22 05:28:48 | linearity | 2 | 121436 | 6 | 3.296 | 36843.4 |
| 633 | 2025-12-21 23:59:41 | linearity | 3 | 148641 | 39 | 6.813 | 21817.3 |
| 632 | 2025-12-21 14:27:56 | linearity | 1 | 81242 | 2 | 2.830 | 28707.4 |
| 631 | 2025-12-20 21:17:44 | linearity | 4 | 165329 | 245 | 11.360 | 14553.6 |
| 630 | 2025-12-20 12:33:07 | linearity | 3 | 148641 | 39 | 6.860 | 21667.8 |
| 629 | 2025-12-20 01:33:36 | linearity | 1 | 81242 | 2 | 1.873 | 43375.3 |
| 628 | 2025-12-19 17:56:55 | linearity | 4 | 165329 | 245 | 11.313 | 14614.1 |
| 627 | 2025-12-18 22:35:45 | linearity | 1 | 81242 | 2 | 3.173 | 25604.2 |
| 626 | 2025-12-18 15:58:38 | linearity | 4 | 165329 | 245 | 32.880 | 5028.3 |
| 625 | 2025-12-16 18:05:44 | linearity | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 624 | 2025-12-16 09:33:09 | linearity | 4 | 165329 | 245 | 15.000 | 11021.9 |
| 623 | 2025-12-15 11:43:32 | linearity | 4 | 165329 | 245 | 10.906 | 15159.5 |
| 622 | 2025-12-06 15:16:57 | linearity | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 621 | 2025-12-02 02:20:07 | linearity | 4 | 165329 | 245 | 12.486 | 13241.2 |
| 620 | 2025-11-23 03:46:12 | linearity | 4 | 165329 | 245 | 41.236 | 4009.3 |
| 619 | 2025-11-21 05:02:13 | linearity | 3 | 148641 | 39 | 10.440 | 14237.6 |
| 618 | 2025-11-12 09:20:05 | linearity | 4 | 165329 | 245 | 13.873 | 11917.3 |
| 617 | 2025-11-11 20:23:14 | linearity | 3 | 148641 | 39 | 8.766 | 16956.5 |
| 616 | 2025-11-09 14:43:27 | linearity | 4 | 165329 | 245 | 13.576 | 12178.0 |
| 615 | 2025-11-08 12:35:30 | linearity | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 614 | 2025-11-07 08:18:02 | linearity | 3 | 148641 | 39 | 7.076 | 21006.4 |
| 613 | 2025-11-03 06:35:37 | linearity | 3 | 148641 | 39 | 7.643 | 19448.0 |
| 612 | 2025-10-27 18:32:34 | linearity | 1 | 81242 | 2 | 3.516 | 23106.4 |
| 611 | 2025-10-25 22:31:09 | linearity | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 610 | 2025-10-22 07:36:45 | linearity | 1 | 81242 | 2 | 6.456 | 12584.0 |
| 609 | 2025-10-22 07:36:38 | linearity | 1 | 81242 | 2 | 3.813 | 21306.6 |
| 608 | 2025-10-22 07:36:31 | linearity | 1 | 81242 | 2 | 6.453 | 12589.8 |
| 607 | 2025-10-22 07:36:25 | linearity | 1 | 81242 | 2 | 3.156 | 25742.1 |
| 606 | 2025-10-11 08:08:55 | linearity | 2 | 121436 | 6 | 3.653 | 33242.8 |
| 605 | 2025-10-10 22:30:38 | linearity | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 604 | 2025-09-12 15:05:13 | linearity | 3 | 148641 | 39 | 7.580 | 19609.6 |
| 603 | 2025-09-05 14:57:53 | linearity | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 602 | 2025-08-31 10:52:47 | linearity | 1 | 81242 | 2 | 1.393 | 58321.6 |
| 601 | 2025-08-30 18:13:24 | linearity | 1 | 81242 | 2 | 1.626 | 49964.3 |
| 600 | 2025-08-24 15:53:18 | linearity | 3 | 148641 | 39 | 30.156 | 4929.1 |
| 599 | 2025-08-21 00:45:14 | linearity | 2 | 121436 | 6 | 8.563 | 14181.5 |
| 598 | 2025-08-20 23:15:22 | linearity | 3 | 148641 | 39 | 16.453 | 9034.3 |
| 597 | 2025-08-20 01:13:48 | linearity | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 596 | 2025-07-22 11:17:52 | linearity | 1 | 81242 | 2 | 6.436 | 12623.1 |
| 595 | 2025-07-19 13:53:22 | linearity | 1 | 81242 | 2 | 1.440 | 56418.1 |
| 594 | 2025-07-17 03:28:25 | linearity | 1 | 81242 | 2 | 2.670 | 30427.7 |
| 593 | 2025-07-12 20:34:31 | linearity | 1 | 81242 | 2 | 4.530 | 17934.2 |
| 592 | 2025-07-10 21:36:17 | linearity | 2 | 121436 | 6 | 15.936 | 7620.2 |
| 591 | 2025-07-10 20:13:27 | linearity | 3 | 148641 | 39 | 42.800 | 3472.9 |
| 590 | 2025-07-09 15:33:09 | linearity | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 589 | 2025-07-04 01:20:15 | linearity | 1 | 81242 | 2 | 6.703 | 12120.2 |
| 588 | 2025-06-17 00:28:22 | linearity | 1 | 81242 | 2 | 6.000 | 13540.3 |
| 587 | 2025-06-16 08:25:14 | linearity | 1 | 81242 | 2 | 9.623 | 8442.5 |
| 586 | 2025-06-16 07:15:06 | linearity | 3 | 148641 | 39 | 32.763 | 4536.9 |
| 585 | 2025-06-15 11:24:44 | linearity | 1 | 81242 | 2 | 1.216 | 66810.9 |
| 584 | 2025-06-01 06:35:10 | linearity | 1 | 81242 | 2 | 7.313 | 11109.3 |
| 583 | 2025-05-26 16:07:43 | linearity | 1 | 81242 | 2 | 6.906 | 11764.0 |
| 582 | 2025-05-26 01:40:39 | linearity | 1 | 81242 | 2 | 4.983 | 16303.8 |
| 581 | 2025-05-18 01:11:58 | linearity | 2 | 121436 | 6 | 18.940 | 6411.6 |
| 580 | 2025-05-18 00:32:34 | linearity | 3 | 148641 | 39 | 30.236 | 4916.0 |
| 579 | 2025-05-17 02:15:28 | linearity | 1 | 81242 | 2 | 4.343 | 18706.4 |
| 578 | 2025-05-16 07:11:52 | linearity | 3 | 148641 | 39 | 39.703 | 3743.8 |
| 577 | 2025-05-16 03:03:21 | linearity | 2 | 121436 | 6 | 12.563 | 9666.2 |
| 576 | 2025-05-16 00:49:30 | linearity | 1 | 81242 | 2 | 7.923 | 10253.9 |
| 575 | 2025-05-15 12:05:59 | linearity | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 574 | 2025-04-26 06:24:47 | linearity | 2 | 121436 | 6 | 9.656 | 12576.2 |
| 573 | 2025-04-23 01:19:31 | linearity | 1 | 81242 | 2 | 4.720 | 17212.3 |
| 572 | 2025-04-23 01:07:20 | linearity | 3 | 148641 | 39 | 36.390 | 4084.7 |
| 571 | 2025-04-23 01:02:07 | linearity | 2 | 121436 | 6 | 20.513 | 5920.0 |
| 570 | 2025-04-22 23:13:13 | linearity | 3 | 148641 | 39 | 26.083 | 5698.8 |
| 569 | 2025-04-22 03:38:47 | linearity | 3 | 148641 | 39 | 7.200 | 20644.6 |
| 568 | 2025-04-21 17:42:06 | linearity | 3 | 148641 | 39 | 38.906 | 3820.5 |
| 567 | 2025-04-21 03:46:35 | linearity | 2 | 121436 | 6 | 22.063 | 5504.1 |
| 566 | 2025-04-20 07:22:21 | linearity | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 565 | 2025-04-18 15:21:06 | linearity | 1 | 81242 | 2 | 3.203 | 25364.3 |
| 564 | 2025-04-17 01:41:39 | linearity | 4 | 165329 | 245 | 30.563 | 5409.4 |
| 563 | 2025-04-16 02:28:57 | linearity | 1 | 81242 | 2 | 8.766 | 9267.9 |
| 562 | 2025-04-15 23:17:08 | linearity | 1 | 81242 | 2 | 6.390 | 12713.9 |
| 561 | 2025-04-14 04:43:21 | linearity | 4 | 165329 | 245 | 75.503 | 2189.7 |
| 560 | 2025-04-11 04:35:39 | linearity | 3 | 148641 | 39 | 28.096 | 5290.5 |
| 559 | 2025-04-11 00:45:38 | linearity | 2 | 121436 | 6 | 21.876 | 5551.1 |
| 558 | 2025-03-26 13:39:55 | linearity | 1 | 81242 | 2 | 4.346 | 18693.5 |
| 557 | 2025-03-23 03:08:12 | linearity | 1 | 81242 | 2 | 3.000 | 27080.7 |
| 556 | 2025-03-23 02:40:56 | linearity | 2 | 121436 | 6 | 9.143 | 13281.9 |
| 555 | 2025-03-23 00:52:16 | linearity | 3 | 148641 | 39 | 26.483 | 5612.7 |
| 554 | 2025-03-20 06:32:46 | linearity | 4 | 165329 | 245 | 80.316 | 2058.5 |
| 553 | 2025-03-19 19:35:25 | linearity | 3 | 148641 | 39 | 6.203 | 23962.8 |