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 |
| 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 |
| 443 | 2023-08-03 00:07:13 | biases | 2 | 82551 | 135 | 2.233 | 36968.7 |
| 442 | 2023-06-12 01:49:11 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
| 441 | 2023-06-08 18:36:56 | biases | 1 | 48755 | 7 | 0.733 | 66514.3 |
| 440 | 2023-05-03 10:38:49 | biases | 1 | 48755 | 7 | 0.813 | 59969.2 |
| 439 | 2023-04-17 10:21:22 | biases | 2 | 82551 | 135 | 2.093 | 39441.5 |
| 438 | 2023-03-31 13:23:26 | biases | 1 | 48755 | 7 | 0.733 | 66514.3 |
| 437 | 2023-03-06 09:57:41 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
| 436 | 2023-02-26 09:58:41 | biases | 1 | 48755 | 7 | 0.826 | 59025.4 |
| 435 | 2023-01-22 19:08:37 | biases | 2 | 82551 | 135 | 2.186 | 37763.5 |
| 434 | 2022-12-24 06:03:09 | biases | 1 | 48755 | 7 | 0.810 | 60191.4 |
| 433 | 2022-12-01 09:58:47 | biases | 1 | 48755 | 7 | 0.750 | 65006.7 |
| 432 | 2022-11-28 03:00:16 | biases | 1 | 48755 | 7 | 0.720 | 67715.3 |
| 431 | 2022-11-02 06:25:33 | biases | 2 | 82551 | 135 | 2.110 | 39123.7 |
| 430 | 2022-10-24 03:18:03 | biases | 2 | 82551 | 135 | 2.140 | 38575.2 |
| 429 | 2022-09-13 15:42:25 | biases | 1 | 48755 | 7 | 0.733 | 66514.3 |
| 428 | 2022-09-10 17:39:18 | biases | 1 | 48755 | 7 | 0.873 | 55847.7 |
| 427 | 2022-09-09 19:57:00 | biases | 2 | 82551 | 135 | 2.423 | 34069.7 |
| 426 | 2022-08-27 13:23:35 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
| 425 | 2022-08-17 11:55:54 | biases | 1 | 48755 | 7 | 0.843 | 57835.1 |
| 424 | 2022-08-10 23:50:52 | biases | 2 | 82551 | 135 | 2.123 | 38884.1 |
| 423 | 2022-07-30 16:17:01 | biases | 1 | 48755 | 7 | 0.733 | 66514.3 |
| 422 | 2022-07-21 23:00:44 | biases | 2 | 82551 | 135 | 2.156 | 38289.0 |
| 421 | 2022-07-15 06:34:57 | biases | 2 | 82551 | 135 | 2.596 | 31799.3 |
| 420 | 2022-06-26 14:09:12 | biases | 2 | 82551 | 135 | 2.393 | 34496.9 |
| 419 | 2022-05-13 01:32:36 | biases | 2 | 82551 | 135 | 2.140 | 38575.2 |
| 418 | 2022-05-08 13:42:45 | biases | 1 | 48755 | 7 | 0.733 | 66514.3 |
| 417 | 2022-04-26 09:08:36 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 416 | 2022-04-24 05:13:00 | biases | 1 | 48755 | 7 | 0.826 | 59025.4 |
| 415 | 2022-04-21 23:06:36 | biases | 1 | 48755 | 7 | 0.783 | 62266.9 |
| 414 | 2022-02-03 15:34:16 | biases | 1 | 48755 | 7 | 0.826 | 59025.4 |
| 413 | 2022-01-15 11:53:59 | biases | 1 | 48755 | 7 | 0.813 | 59969.2 |
| 412 | 2022-01-08 06:52:04 | biases | 2 | 82551 | 135 | 2.593 | 31836.1 |
| 411 | 2021-11-19 16:05:03 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
| 410 | 2021-11-17 13:43:09 | biases | 1 | 48755 | 7 | 0.873 | 55847.7 |
| 409 | 2021-10-30 11:59:27 | biases | 1 | 48755 | 7 | 0.830 | 58741.0 |
| 408 | 2021-10-23 04:02:02 | biases | 2 | 82551 | 135 | 2.406 | 34310.5 |
| 407 | 2021-10-07 10:41:27 | biases | 1 | 48755 | 7 | 0.830 | 58741.0 |
| 406 | 2021-09-05 08:11:03 | biases | 1 | 48755 | 7 | 0.750 | 65006.7 |
| 405 | 2021-08-26 15:42:11 | biases | 2 | 82551 | 135 | 2.796 | 29524.7 |
| 404 | 2021-08-18 18:02:35 | biases | 1 | 48755 | 7 | 0.750 | 65006.7 |
| 403 | 2021-08-16 13:36:52 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 402 | 2021-07-30 16:14:16 | biases | 1 | 48755 | 7 | 0.733 | 66514.3 |
| 401 | 2021-07-09 07:37:41 | biases | 1 | 48755 | 7 | 0.796 | 61250.0 |
| 400 | 2021-04-30 13:34:06 | biases | 1 | 48755 | 7 | 0.750 | 65006.7 |
| 399 | 2021-04-29 23:49:39 | biases | 1 | 48755 | 7 | 0.940 | 51867.0 |
| 398 | 2021-04-28 09:12:18 | biases | 1 | 48755 | 7 | 0.890 | 54780.9 |
| 397 | 2021-04-25 08:13:32 | biases | 1 | 48755 | 7 | 0.826 | 59025.4 |
| 396 | 2021-04-24 04:08:45 | biases | 1 | 48755 | 7 | 0.906 | 53813.5 |
| 395 | 2021-03-26 04:55:27 | biases | 1 | 48755 | 7 | 0.810 | 60191.4 |
| 394 | 2021-01-20 13:20:59 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
| 393 | 2021-01-09 11:16:57 | biases | 1 | 48755 | 7 | 0.750 | 65006.7 |
| 392 | 2020-11-02 02:14:32 | biases | 1 | 48755 | 7 | 1.750 | 27860.0 |
| 391 | 2020-10-22 17:19:20 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 390 | 2020-10-20 09:22:52 | biases | 1 | 48755 | 7 | 0.810 | 60191.4 |
| 389 | 2020-09-20 18:23:07 | biases | 1 | 48755 | 7 | 0.750 | 65006.7 |
| 388 | 2020-09-07 01:18:48 | biases | 1 | 48755 | 7 | 0.720 | 67715.3 |
| 387 | 2020-09-04 11:47:55 | biases | 1 | 48755 | 7 | 0.893 | 54596.9 |
| 386 | 2020-08-26 13:57:32 | biases | 1 | 48755 | 7 | 0.733 | 66514.3 |
| 385 | 2020-08-21 08:50:33 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |