History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biases"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 543 | 2025-01-06 11:02:02 | biases | 1 | 48755 | 7 | 5.483 | 8892.0 |
| 542 | 2025-01-03 23:40:15 | biases | 2 | 82551 | 135 | 8.970 | 9203.0 |
| 541 | 2025-01-03 23:39:56 | biases | 1 | 48755 | 7 | 6.033 | 8081.4 |
| 540 | 2024-12-27 11:04:32 | biases | 1 | 48755 | 7 | 2.186 | 22303.3 |
| 539 | 2024-12-12 22:02:38 | biases | 1 | 48755 | 7 | 3.983 | 12240.8 |
| 538 | 2024-12-06 20:41:15 | biases | 1 | 48755 | 7 | 3.813 | 12786.5 |
| 537 | 2024-12-04 15:56:55 | biases | 1 | 48755 | 7 | 3.563 | 13683.7 |
| 536 | 2024-12-01 05:42:51 | biases | 1 | 48755 | 7 | 1.906 | 25579.7 |
| 535 | 2024-11-27 07:50:38 | biases | 1 | 48755 | 7 | 2.530 | 19270.8 |
| 534 | 2024-11-07 07:21:40 | biases | 1 | 48755 | 7 | 2.203 | 22131.2 |
| 533 | 2024-11-05 06:44:41 | biases | 2 | 82551 | 135 | 5.843 | 14128.2 |
| 532 | 2024-11-04 10:28:28 | biases | 2 | 82551 | 135 | 9.376 | 8804.5 |
| 531 | 2024-11-04 10:28:13 | biases | 1 | 48755 | 7 | 3.906 | 12482.1 |
| 530 | 2024-10-22 20:22:00 | biases | 1 | 48755 | 7 | 4.376 | 11141.5 |
| 529 | 2024-10-08 02:19:12 | biases | 1 | 48755 | 7 | 5.733 | 8504.3 |
| 528 | 2024-10-05 02:07:35 | biases | 1 | 48755 | 7 | 6.610 | 7375.9 |
| 527 | 2024-09-22 19:54:58 | biases | 1 | 48755 | 7 | 4.356 | 11192.6 |
| 526 | 2024-09-15 23:20:30 | biases | 1 | 48755 | 7 | 5.266 | 9258.5 |
| 525 | 2024-09-06 02:55:07 | biases | 2 | 82551 | 135 | 12.190 | 6772.0 |
| 524 | 2024-09-06 02:54:51 | biases | 1 | 48755 | 7 | 8.033 | 6069.3 |
| 523 | 2024-09-04 18:13:58 | biases | 2 | 82551 | 135 | 24.033 | 3434.9 |
| 522 | 2024-09-04 13:27:48 | biases | 1 | 48755 | 7 | 8.483 | 5747.4 |
| 521 | 2024-09-03 21:14:03 | biases | 2 | 82551 | 135 | 18.160 | 4545.8 |
| 520 | 2024-09-03 13:55:39 | biases | 2 | 82551 | 135 | 18.186 | 4539.3 |
| 519 | 2024-09-03 13:55:26 | biases | 1 | 48755 | 7 | 2.016 | 24184.0 |
| 518 | 2024-09-02 10:14:24 | biases | 1 | 48755 | 7 | 7.436 | 6556.6 |
| 517 | 2024-08-28 09:54:03 | biases | 1 | 48755 | 7 | 0.796 | 61250.0 |
| 516 | 2024-08-14 03:26:01 | biases | 1 | 48755 | 7 | 5.940 | 8207.9 |
| 515 | 2024-08-08 13:50:55 | biases | 1 | 48755 | 7 | 0.953 | 51159.5 |
| 514 | 2024-08-02 10:50:14 | biases | 2 | 82551 | 135 | 15.736 | 5246.0 |
| 513 | 2024-08-02 07:39:59 | biases | 2 | 82551 | 135 | 8.236 | 10023.2 |
| 512 | 2024-08-02 07:39:58 | biases | 1 | 48755 | 7 | 2.263 | 21544.4 |
| 511 | 2024-07-31 01:23:37 | biases | 1 | 48755 | 7 | 3.156 | 15448.4 |
| 510 | 2024-07-28 17:36:51 | biases | 1 | 48755 | 7 | 2.093 | 23294.3 |
| 509 | 2024-07-28 05:30:05 | biases | 1 | 48755 | 7 | 4.030 | 12098.0 |
| 508 | 2024-07-28 04:44:11 | biases | 1 | 48755 | 7 | 5.403 | 9023.7 |
| 507 | 2024-07-28 03:26:32 | biases | 1 | 48755 | 7 | 3.733 | 13060.5 |
| 506 | 2024-07-11 02:16:50 | biases | 1 | 48755 | 7 | 3.326 | 14658.7 |
| 505 | 2024-07-08 17:12:40 | biases | 1 | 48755 | 7 | 3.110 | 15676.8 |
| 504 | 2024-07-06 01:24:48 | biases | 1 | 48755 | 7 | 2.686 | 18151.5 |
| 503 | 2024-07-02 13:57:11 | biases | 1 | 48755 | 7 | 2.830 | 17227.9 |
| 502 | 2024-06-28 03:51:39 | biases | 1 | 48755 | 7 | 4.170 | 11691.8 |
| 501 | 2024-06-27 20:31:57 | biases | 1 | 48755 | 7 | 3.406 | 14314.4 |
| 500 | 2024-06-26 18:48:22 | biases | 1 | 48755 | 7 | 1.440 | 33857.6 |
| 499 | 2024-06-22 15:03:16 | biases | 2 | 82551 | 135 | 10.873 | 7592.3 |
| 498 | 2024-06-22 15:03:11 | biases | 1 | 48755 | 7 | 3.716 | 13120.3 |
| 497 | 2024-06-17 03:33:36 | biases | 1 | 48755 | 7 | 1.406 | 34676.4 |
| 496 | 2024-06-14 22:37:48 | biases | 1 | 48755 | 7 | 3.153 | 15463.1 |
| 495 | 2024-06-01 17:47:33 | biases | 2 | 82551 | 135 | 2.546 | 32423.8 |
| 494 | 2024-05-30 09:36:55 | biases | 1 | 48755 | 7 | 2.470 | 19738.9 |
| 493 | 2024-05-27 17:59:30 | biases | 1 | 48755 | 7 | 4.640 | 10507.5 |
| 492 | 2024-05-06 04:08:24 | biases | 2 | 82551 | 135 | 4.783 | 17259.3 |
| 491 | 2024-05-06 04:08:19 | biases | 1 | 48755 | 7 | 0.953 | 51159.5 |
| 490 | 2024-05-06 04:08:02 | biases | 2 | 82551 | 135 | 6.953 | 11872.7 |
| 489 | 2024-05-06 01:42:13 | biases | 2 | 82551 | 135 | 10.186 | 8104.4 |
| 488 | 2024-05-06 01:42:05 | biases | 1 | 48755 | 7 | 1.890 | 25796.3 |
| 487 | 2024-05-03 05:13:40 | biases | 1 | 48755 | 7 | 1.093 | 44606.6 |
| 486 | 2024-04-28 11:55:20 | biases | 1 | 48755 | 7 | 0.936 | 52088.7 |
| 485 | 2024-04-28 02:09:03 | biases | 2 | 82551 | 135 | 2.923 | 28241.9 |
| 484 | 2024-04-27 08:46:32 | biases | 1 | 48755 | 7 | 0.810 | 60191.4 |
| 483 | 2024-04-03 13:42:28 | biases | 1 | 48755 | 7 | 1.876 | 25988.8 |
| 482 | 2024-03-31 12:53:31 | biases | 1 | 48755 | 7 | 1.186 | 41108.8 |
| 481 | 2024-03-28 18:55:55 | biases | 1 | 48755 | 7 | 2.000 | 24377.5 |
| 480 | 2024-03-28 15:55:43 | biases | 1 | 48755 | 7 | 0.846 | 57630.0 |
| 479 | 2024-03-24 22:42:41 | biases | 1 | 48755 | 7 | 0.826 | 59025.4 |
| 478 | 2024-03-04 14:02:42 | biases | 1 | 48755 | 7 | 1.860 | 26212.4 |
| 477 | 2024-03-04 13:58:45 | biases | 2 | 82551 | 135 | 3.266 | 25275.9 |
| 476 | 2024-03-04 07:35:46 | biases | 2 | 82551 | 135 | 2.376 | 34743.7 |
| 475 | 2024-03-04 07:35:43 | biases | 1 | 48755 | 7 | 0.826 | 59025.4 |
| 474 | 2024-03-01 09:51:58 | biases | 1 | 48755 | 7 | 2.576 | 18926.6 |
| 473 | 2024-02-27 09:34:02 | biases | 2 | 82551 | 135 | 2.516 | 32810.4 |
| 472 | 2024-02-26 22:37:13 | biases | 2 | 82551 | 135 | 2.343 | 35233.0 |
| 471 | 2024-02-26 22:37:13 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 470 | 2024-01-16 14:02:03 | biases | 1 | 48755 | 7 | 0.780 | 62506.4 |
| 469 | 2024-01-16 09:17:52 | biases | 2 | 82551 | 135 | 2.436 | 33887.9 |
| 468 | 2024-01-08 08:05:47 | biases | 1 | 48755 | 7 | 0.936 | 52088.7 |
| 467 | 2023-12-27 04:33:14 | biases | 2 | 82551 | 135 | 2.513 | 32849.6 |
| 466 | 2023-12-23 13:01:19 | biases | 1 | 48755 | 7 | 0.733 | 66514.3 |
| 465 | 2023-12-22 14:12:14 | biases | 1 | 48755 | 7 | 0.876 | 55656.4 |
| 464 | 2023-12-15 02:40:40 | biases | 2 | 82551 | 135 | 2.376 | 34743.7 |
| 463 | 2023-12-03 12:28:45 | biases | 1 | 48755 | 7 | 0.750 | 65006.7 |
| 462 | 2023-12-03 12:28:44 | biases | 1 | 48755 | 7 | 0.813 | 59969.2 |
| 461 | 2023-11-24 18:17:47 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
| 460 | 2023-11-24 06:47:07 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 459 | 2023-11-13 09:06:44 | biases | 1 | 48755 | 7 | 0.750 | 65006.7 |
| 458 | 2023-11-12 03:58:37 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
| 457 | 2023-10-31 14:41:15 | biases | 1 | 48755 | 7 | 0.750 | 65006.7 |
| 456 | 2023-10-28 06:37:30 | biases | 2 | 82551 | 135 | 2.940 | 28078.6 |
| 455 | 2023-10-25 19:41:17 | biases | 2 | 82551 | 135 | 2.826 | 29211.3 |
| 454 | 2023-10-22 13:18:14 | biases | 1 | 48755 | 7 | 0.846 | 57630.0 |
| 453 | 2023-10-18 13:39:59 | biases | 1 | 48755 | 7 | 0.846 | 57630.0 |
| 452 | 2023-10-11 03:25:49 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 451 | 2023-10-10 06:03:59 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 450 | 2023-10-08 05:33:03 | biases | 1 | 48755 | 7 | 0.736 | 66243.2 |
| 449 | 2023-09-23 22:04:49 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
| 448 | 2023-09-16 01:46:18 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 447 | 2023-09-12 16:40:36 | biases | 1 | 48755 | 7 | 0.903 | 53992.2 |
| 446 | 2023-09-11 18:56:52 | biases | 2 | 82551 | 135 | 2.296 | 35954.3 |
| 445 | 2023-09-10 12:14:39 | biases | 1 | 48755 | 7 | 0.750 | 65006.7 |
| 444 | 2023-08-07 06:20:49 | biases | 1 | 48755 | 7 | 0.826 | 59025.4 |