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 |
| 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 |
| 552 | 2025-03-16 16:37:31 | linearity | 2 | 121436 | 6 | 13.106 | 9265.7 |
| 551 | 2025-03-16 16:35:11 | linearity | 1 | 81242 | 2 | 8.376 | 9699.4 |
| 550 | 2025-03-16 16:18:12 | linearity | 1 | 81242 | 2 | 6.626 | 12261.1 |
| 549 | 2025-03-15 19:36:55 | linearity | 3 | 148641 | 39 | 36.613 | 4059.8 |
| 548 | 2025-03-15 16:12:29 | linearity | 4 | 165329 | 245 | 61.643 | 2682.0 |
| 547 | 2025-03-14 20:35:15 | linearity | 4 | 165329 | 245 | 73.273 | 2256.3 |
| 546 | 2025-03-14 19:30:26 | linearity | 4 | 165329 | 245 | 56.600 | 2921.0 |
| 545 | 2025-03-14 10:04:42 | linearity | 4 | 165329 | 245 | 58.563 | 2823.1 |
| 544 | 2025-03-13 21:40:46 | linearity | 4 | 165329 | 245 | 82.240 | 2010.3 |
| 543 | 2025-03-13 16:11:28 | linearity | 4 | 165329 | 245 | 39.156 | 4222.3 |
| 542 | 2025-03-12 17:37:48 | linearity | 3 | 148641 | 39 | 27.563 | 5392.8 |
| 541 | 2025-03-12 04:59:44 | linearity | 1 | 81242 | 2 | 4.766 | 17046.2 |
| 540 | 2025-03-08 23:15:07 | linearity | 3 | 148641 | 39 | 37.436 | 3970.5 |
| 539 | 2025-03-08 23:15:06 | linearity | 2 | 121436 | 6 | 10.140 | 11975.9 |
| 538 | 2025-03-08 23:13:18 | linearity | 1 | 81242 | 2 | 2.970 | 27354.2 |
| 537 | 2025-02-14 06:33:18 | linearity | 1 | 81242 | 2 | 6.563 | 12378.8 |
| 536 | 2025-02-07 12:04:07 | linearity | 1 | 81242 | 2 | 6.470 | 12556.7 |
| 535 | 2025-02-03 10:38:53 | linearity | 3 | 148641 | 39 | 33.673 | 4414.2 |
| 534 | 2025-02-03 10:38:51 | linearity | 2 | 121436 | 6 | 14.220 | 8539.8 |
| 533 | 2025-02-02 15:46:14 | linearity | 2 | 121436 | 6 | 14.483 | 8384.7 |
| 532 | 2025-02-02 15:45:42 | linearity | 3 | 148641 | 39 | 40.546 | 3666.0 |
| 531 | 2025-02-02 15:45:41 | linearity | 3 | 148641 | 39 | 35.533 | 4183.2 |
| 530 | 2025-02-02 15:45:25 | linearity | 1 | 81242 | 2 | 4.110 | 19766.9 |
| 529 | 2025-02-02 15:26:32 | linearity | 2 | 121436 | 6 | 16.563 | 7331.8 |
| 528 | 2025-02-02 15:22:32 | linearity | 1 | 81242 | 2 | 5.313 | 15291.2 |
| 527 | 2025-01-27 16:55:20 | linearity | 3 | 148641 | 39 | 34.000 | 4371.8 |
| 526 | 2025-01-27 16:55:15 | linearity | 3 | 148641 | 39 | 36.173 | 4109.2 |
| 525 | 2025-01-27 16:55:24 | linearity | 2 | 121436 | 6 | 22.190 | 5472.6 |
| 524 | 2025-01-13 06:40:06 | linearity | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 523 | 2024-12-27 16:24:26 | linearity | 2 | 121436 | 6 | 6.470 | 18769.1 |
| 522 | 2024-12-21 01:37:24 | linearity | 1 | 81242 | 2 | 6.516 | 12468.1 |
| 521 | 2024-12-21 01:20:22 | linearity | 3 | 148641 | 39 | 46.393 | 3204.0 |
| 520 | 2024-12-20 12:04:57 | linearity | 2 | 121436 | 6 | 17.063 | 7116.9 |
| 519 | 2024-12-19 03:31:58 | linearity | 1 | 81242 | 2 | 6.906 | 11764.0 |
| 518 | 2024-12-18 13:48:01 | linearity | 3 | 148641 | 39 | 31.046 | 4787.8 |
| 517 | 2024-12-17 23:50:16 | linearity | 3 | 148641 | 39 | 38.343 | 3876.6 |
| 516 | 2024-12-17 01:46:32 | linearity | 3 | 148641 | 39 | 45.923 | 3236.7 |
| 515 | 2024-12-16 00:44:25 | linearity | 3 | 148641 | 39 | 30.380 | 4892.7 |
| 514 | 2024-12-15 20:50:52 | linearity | 4 | 165329 | 245 | 50.863 | 3250.5 |
| 513 | 2024-12-15 20:50:50 | linearity | 3 | 148641 | 39 | 36.063 | 4121.7 |