History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"fattiness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 511 | 2025-11-14 21:33:28 | fattiness | 1 | 81242 | 5 | 4.546 | 17871.1 |
| 510 | 2025-10-17 05:19:10 | fattiness | 1 | 81242 | 5 | 1.266 | 64172.2 |
| 509 | 2025-10-01 06:57:25 | fattiness | 3 | 148641 | 242 | 6.766 | 21968.8 |
| 508 | 2025-09-30 01:42:07 | fattiness | 3 | 148641 | 242 | 7.470 | 19898.4 |
| 507 | 2025-09-19 05:56:24 | fattiness | 1 | 81242 | 5 | 1.253 | 64838.0 |
| 506 | 2025-09-17 23:30:20 | fattiness | 3 | 148641 | 242 | 11.516 | 12907.3 |
| 505 | 2025-09-15 21:52:42 | fattiness | 1 | 81242 | 5 | 1.343 | 60492.9 |
| 504 | 2025-09-12 14:41:04 | fattiness | 1 | 81242 | 5 | 1.423 | 57092.1 |
| 503 | 2025-09-09 07:14:13 | fattiness | 1 | 81242 | 5 | 1.440 | 56418.1 |
| 502 | 2025-09-06 00:08:00 | fattiness | 1 | 81242 | 5 | 1.266 | 64172.2 |
| 501 | 2025-09-03 04:38:35 | fattiness | 3 | 148641 | 242 | 6.216 | 23912.6 |
| 500 | 2025-09-02 17:03:14 | fattiness | 1 | 81242 | 5 | 1.420 | 57212.7 |
| 499 | 2025-08-30 09:40:14 | fattiness | 1 | 81242 | 5 | 1.343 | 60492.9 |
| 498 | 2025-08-27 02:21:45 | fattiness | 1 | 81242 | 5 | 3.346 | 24280.3 |
| 497 | 2025-08-20 09:56:25 | fattiness | 1 | 81242 | 5 | 1.356 | 59913.0 |
| 496 | 2025-08-17 18:15:41 | fattiness | 1 | 81242 | 5 | 8.593 | 9454.4 |
| 495 | 2025-08-17 18:15:32 | fattiness | 1 | 81242 | 5 | 3.546 | 22910.9 |
| 494 | 2025-08-17 09:42:49 | fattiness | 1 | 81242 | 5 | 3.216 | 25261.8 |
| 493 | 2025-08-15 10:36:41 | fattiness | 3 | 148641 | 242 | 20.626 | 7206.5 |
| 492 | 2025-08-14 06:27:30 | fattiness | 2 | 121436 | 34 | 6.076 | 19986.2 |
| 491 | 2025-08-13 22:52:29 | fattiness | 3 | 148641 | 242 | 8.266 | 17982.2 |
| 490 | 2025-08-12 03:34:23 | fattiness | 1 | 81242 | 5 | 3.420 | 23755.0 |
| 489 | 2025-07-28 21:37:12 | fattiness | 2 | 121436 | 34 | 9.156 | 13263.0 |
| 488 | 2025-07-25 22:07:02 | fattiness | 1 | 81242 | 5 | 1.390 | 58447.5 |
| 487 | 2025-07-24 13:13:08 | fattiness | 1 | 81242 | 5 | 9.873 | 8228.7 |
| 486 | 2025-07-21 05:28:45 | fattiness | 1 | 81242 | 5 | 1.453 | 55913.3 |
| 485 | 2025-07-17 09:22:37 | fattiness | 2 | 121436 | 34 | 7.970 | 15236.6 |
| 484 | 2025-07-14 15:09:47 | fattiness | 3 | 148641 | 242 | 18.080 | 8221.3 |
| 483 | 2025-07-14 11:57:32 | fattiness | 1 | 81242 | 5 | 6.766 | 12007.4 |
| 482 | 2025-07-11 00:58:43 | fattiness | 1 | 81242 | 5 | 3.220 | 25230.4 |
| 481 | 2025-07-10 11:52:14 | fattiness | 1 | 81242 | 5 | 6.343 | 12808.1 |
| 480 | 2025-07-10 02:46:01 | fattiness | 3 | 148641 | 242 | 38.453 | 3865.5 |
| 479 | 2025-07-08 11:06:23 | fattiness | 1 | 81242 | 5 | 10.063 | 8073.3 |
| 478 | 2025-07-06 19:54:16 | fattiness | 1 | 81242 | 5 | 1.390 | 58447.5 |
| 477 | 2025-07-04 04:00:16 | fattiness | 1 | 81242 | 5 | 6.203 | 13097.2 |
| 476 | 2025-06-24 14:55:02 | fattiness | 1 | 81242 | 5 | 3.550 | 22885.1 |
| 475 | 2025-06-20 03:01:28 | fattiness | 1 | 81242 | 5 | 10.876 | 7469.8 |
| 474 | 2025-06-13 18:28:14 | fattiness | 1 | 81242 | 5 | 1.250 | 64993.6 |
| 473 | 2025-06-10 09:57:52 | fattiness | 2 | 121436 | 34 | 18.220 | 6665.0 |
| 472 | 2025-06-10 09:32:30 | fattiness | 1 | 81242 | 5 | 5.106 | 15911.1 |
| 471 | 2025-06-08 13:57:51 | fattiness | 1 | 81242 | 5 | 9.640 | 8427.6 |
| 470 | 2025-06-08 01:13:26 | fattiness | 2 | 121436 | 34 | 12.033 | 10091.9 |
| 469 | 2025-06-06 12:17:43 | fattiness | 2 | 121436 | 34 | 17.703 | 6859.6 |
| 468 | 2025-05-27 22:01:26 | fattiness | 1 | 81242 | 5 | 1.423 | 57092.1 |
| 467 | 2025-05-24 14:22:41 | fattiness | 1 | 81242 | 5 | 3.610 | 22504.7 |
| 466 | 2025-05-23 15:33:10 | fattiness | 3 | 148641 | 242 | 34.833 | 4267.2 |
| 465 | 2025-05-23 14:28:50 | fattiness | 1 | 81242 | 5 | 6.763 | 12012.7 |
| 464 | 2025-05-14 00:12:38 | fattiness | 3 | 148641 | 242 | 52.596 | 2826.1 |
| 463 | 2025-05-12 22:39:22 | fattiness | 3 | 148641 | 242 | 7.296 | 20372.9 |
| 462 | 2025-05-08 14:56:28 | fattiness | 2 | 121436 | 34 | 16.640 | 7297.8 |
| 461 | 2025-05-07 02:17:32 | fattiness | 3 | 148641 | 242 | 17.783 | 8358.6 |
| 460 | 2025-05-06 10:57:40 | fattiness | 2 | 121436 | 34 | 18.873 | 6434.4 |
| 459 | 2025-05-05 07:13:09 | fattiness | 3 | 148641 | 242 | 30.830 | 4821.3 |
| 458 | 2025-05-05 01:25:48 | fattiness | 2 | 121436 | 34 | 4.030 | 30133.0 |
| 457 | 2025-05-04 13:03:08 | fattiness | 1 | 81242 | 5 | 6.906 | 11764.0 |
| 456 | 2025-05-04 10:17:46 | fattiness | 1 | 81242 | 5 | 7.656 | 10611.5 |
| 455 | 2025-05-02 22:25:53 | fattiness | 1 | 81242 | 5 | 8.283 | 9808.3 |
| 454 | 2025-05-02 09:45:05 | fattiness | 1 | 81242 | 5 | 3.610 | 22504.7 |
| 453 | 2025-05-02 00:19:45 | fattiness | 1 | 81242 | 5 | 9.890 | 8214.6 |
| 452 | 2025-04-23 18:22:53 | fattiness | 1 | 81242 | 5 | 1.486 | 54671.6 |
| 451 | 2025-04-14 13:50:39 | fattiness | 1 | 81242 | 5 | 2.966 | 27391.1 |
| 450 | 2025-04-07 08:41:13 | fattiness | 2 | 121436 | 34 | 11.860 | 10239.1 |
| 449 | 2025-04-04 10:06:27 | fattiness | 2 | 121436 | 34 | 18.186 | 6677.4 |
| 448 | 2025-04-02 12:26:46 | fattiness | 1 | 81242 | 5 | 9.393 | 8649.2 |
| 447 | 2025-04-02 09:38:49 | fattiness | 1 | 81242 | 5 | 10.046 | 8087.0 |
| 446 | 2025-04-02 08:42:26 | fattiness | 1 | 81242 | 5 | 10.516 | 7725.6 |
| 445 | 2025-04-02 08:37:04 | fattiness | 1 | 81242 | 5 | 6.563 | 12378.8 |
| 444 | 2025-03-14 12:29:02 | fattiness | 1 | 81242 | 5 | 1.203 | 67532.8 |
| 443 | 2025-03-13 19:09:58 | fattiness | 1 | 81242 | 5 | 9.733 | 8347.1 |
| 442 | 2025-03-13 17:38:29 | fattiness | 1 | 81242 | 5 | 6.516 | 12468.1 |
| 441 | 2025-03-03 15:02:06 | fattiness | 3 | 148641 | 242 | 44.343 | 3352.1 |
| 440 | 2025-03-03 05:28:16 | fattiness | 2 | 121436 | 34 | 18.126 | 6699.5 |
| 439 | 2025-03-03 05:24:23 | fattiness | 1 | 81242 | 5 | 7.656 | 10611.5 |
| 438 | 2025-03-01 07:31:33 | fattiness | 1 | 81242 | 5 | 6.563 | 12378.8 |
| 437 | 2025-02-27 20:46:51 | fattiness | 3 | 148641 | 242 | 42.816 | 3471.6 |
| 436 | 2025-02-27 20:46:49 | fattiness | 2 | 121436 | 34 | 9.593 | 12658.8 |
| 435 | 2025-02-27 20:24:59 | fattiness | 1 | 81242 | 5 | 1.436 | 56575.2 |
| 434 | 2025-02-06 10:47:46 | fattiness | 3 | 148641 | 242 | 46.823 | 3174.5 |
| 433 | 2025-02-06 01:46:40 | fattiness | 2 | 121436 | 34 | 22.610 | 5370.9 |
| 432 | 2025-02-06 00:03:40 | fattiness | 1 | 81242 | 5 | 2.076 | 39133.9 |
| 431 | 2025-02-04 23:54:12 | fattiness | 3 | 148641 | 242 | 30.123 | 4934.5 |
| 430 | 2025-01-31 15:05:24 | fattiness | 3 | 148641 | 242 | 28.203 | 5270.4 |
| 429 | 2025-01-29 20:59:02 | fattiness | 2 | 121436 | 34 | 18.580 | 6535.8 |
| 428 | 2025-01-29 19:44:29 | fattiness | 1 | 81242 | 5 | 6.873 | 11820.5 |
| 427 | 2025-01-28 03:43:06 | fattiness | 1 | 81242 | 5 | 5.126 | 15849.0 |
| 426 | 2025-01-26 06:09:12 | fattiness | 1 | 81242 | 5 | 1.420 | 57212.7 |
| 425 | 2025-01-23 09:32:46 | fattiness | 1 | 81242 | 5 | 3.626 | 22405.4 |
| 424 | 2025-01-06 02:45:15 | fattiness | 3 | 148641 | 242 | 45.236 | 3285.9 |
| 423 | 2025-01-04 13:45:02 | fattiness | 3 | 148641 | 242 | 43.080 | 3450.3 |
| 422 | 2025-01-04 09:21:05 | fattiness | 3 | 148641 | 242 | 37.160 | 4000.0 |
| 421 | 2025-01-04 09:20:55 | fattiness | 2 | 121436 | 34 | 16.520 | 7350.8 |
| 420 | 2025-01-04 00:57:05 | fattiness | 3 | 148641 | 242 | 44.813 | 3316.9 |
| 419 | 2025-01-04 00:57:09 | fattiness | 2 | 121436 | 34 | 19.546 | 6212.8 |
| 418 | 2025-01-04 00:54:43 | fattiness | 1 | 81242 | 5 | 2.610 | 31127.2 |
| 417 | 2024-12-30 11:33:33 | fattiness | 1 | 81242 | 5 | 6.703 | 12120.2 |
| 416 | 2024-12-24 11:02:11 | fattiness | 1 | 81242 | 5 | 5.140 | 15805.8 |
| 415 | 2024-11-30 12:53:17 | fattiness | 2 | 121436 | 34 | 13.546 | 8964.7 |
| 414 | 2024-11-30 12:52:34 | fattiness | 1 | 81242 | 5 | 5.626 | 14440.5 |
| 413 | 2024-11-29 21:08:53 | fattiness | 3 | 148641 | 242 | 32.533 | 4568.9 |
| 412 | 2024-11-28 23:10:02 | fattiness | 3 | 148641 | 242 | 36.906 | 4027.6 |