History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"fattinesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 546 | 2025-10-19 17:00:59 | fattinesses | 1 | 49908 | 5 | 3.423 | 14580.2 |
| 545 | 2025-10-15 22:10:09 | fattinesses | 1 | 49908 | 5 | 0.736 | 67809.8 |
| 544 | 2025-09-21 01:22:59 | fattinesses | 1 | 49908 | 5 | 0.843 | 59202.8 |
| 543 | 2025-08-31 15:56:13 | fattinesses | 1 | 49908 | 5 | 0.843 | 59202.8 |
| 542 | 2025-08-23 00:57:12 | fattinesses | 1 | 49908 | 5 | 4.250 | 11743.1 |
| 541 | 2025-08-12 13:16:03 | fattinesses | 1 | 49908 | 5 | 1.313 | 38010.7 |
| 540 | 2025-08-11 20:59:07 | fattinesses | 1 | 49908 | 5 | 6.140 | 8128.3 |
| 539 | 2025-08-10 12:15:55 | fattinesses | 1 | 49908 | 5 | 1.330 | 37524.8 |
| 538 | 2025-08-08 06:34:05 | fattinesses | 1 | 49908 | 5 | 0.860 | 58032.6 |
| 537 | 2025-08-04 12:56:33 | fattinesses | 1 | 49908 | 5 | 3.876 | 12876.2 |
| 536 | 2025-08-04 10:07:52 | fattinesses | 1 | 49908 | 5 | 2.593 | 19247.2 |
| 535 | 2025-08-01 13:46:31 | fattinesses | 2 | 86808 | 31 | 17.453 | 4973.8 |
| 534 | 2025-08-01 05:04:41 | fattinesses | 3 | 121633 | 191 | 12.843 | 9470.8 |
| 533 | 2025-07-31 13:45:24 | fattinesses | 1 | 49908 | 5 | 1.780 | 28038.2 |
| 532 | 2025-07-30 21:01:39 | fattinesses | 1 | 49908 | 5 | 4.220 | 11826.5 |
| 531 | 2025-07-30 19:46:54 | fattinesses | 1 | 49908 | 5 | 1.623 | 30750.5 |
| 530 | 2025-07-26 08:06:34 | fattinesses | 1 | 49908 | 5 | 2.063 | 24192.0 |
| 529 | 2025-07-25 17:17:17 | fattinesses | 1 | 49908 | 5 | 3.843 | 12986.7 |
| 528 | 2025-07-22 11:26:20 | fattinesses | 1 | 49908 | 5 | 2.156 | 23148.4 |
| 527 | 2025-07-16 22:59:28 | fattinesses | 1 | 49908 | 5 | 2.063 | 24192.0 |
| 526 | 2025-07-16 13:44:24 | fattinesses | 1 | 49908 | 5 | 0.876 | 56972.6 |
| 525 | 2025-07-16 00:45:47 | fattinesses | 1 | 49908 | 5 | 1.626 | 30693.7 |
| 524 | 2025-07-07 23:49:29 | fattinesses | 3 | 121633 | 191 | 28.016 | 4341.6 |
| 523 | 2025-07-07 14:33:07 | fattinesses | 3 | 121633 | 191 | 29.860 | 4073.4 |
| 522 | 2025-07-07 10:39:01 | fattinesses | 1 | 49908 | 5 | 2.126 | 23475.1 |
| 521 | 2025-07-06 14:34:47 | fattinesses | 1 | 49908 | 5 | 0.860 | 58032.6 |
| 520 | 2025-07-05 10:01:07 | fattinesses | 3 | 121633 | 191 | 15.796 | 7700.2 |
| 519 | 2025-07-04 11:40:57 | fattinesses | 1 | 49908 | 5 | 3.920 | 12731.6 |
| 518 | 2025-07-02 01:57:41 | fattinesses | 1 | 49908 | 5 | 2.190 | 22789.0 |
| 517 | 2025-06-30 13:44:14 | fattinesses | 2 | 86808 | 31 | 7.823 | 11096.5 |
| 516 | 2025-06-29 20:39:01 | fattinesses | 1 | 49908 | 5 | 2.170 | 22999.1 |
| 515 | 2025-06-28 19:36:47 | fattinesses | 1 | 49908 | 5 | 0.810 | 61614.8 |
| 514 | 2025-06-25 03:00:29 | fattinesses | 2 | 86808 | 31 | 11.420 | 7601.4 |
| 513 | 2025-06-21 12:44:34 | fattinesses | 1 | 49908 | 5 | 0.873 | 57168.4 |
| 512 | 2025-06-20 07:30:55 | fattinesses | 1 | 49908 | 5 | 3.346 | 14915.7 |
| 511 | 2025-06-16 23:25:50 | fattinesses | 1 | 49908 | 5 | 3.750 | 13308.8 |
| 510 | 2025-06-15 22:42:17 | fattinesses | 1 | 49908 | 5 | 5.593 | 8923.3 |
| 509 | 2025-06-10 00:44:43 | fattinesses | 1 | 49908 | 5 | 5.143 | 9704.1 |
| 508 | 2025-06-09 21:08:09 | fattinesses | 2 | 86808 | 31 | 8.750 | 9920.9 |
| 507 | 2025-06-07 09:54:03 | fattinesses | 1 | 49908 | 5 | 1.500 | 33272.0 |
| 506 | 2025-06-04 17:39:34 | fattinesses | 1 | 49908 | 5 | 4.123 | 12104.8 |
| 505 | 2025-06-02 11:17:01 | fattinesses | 1 | 49908 | 5 | 1.953 | 25554.5 |
| 504 | 2025-05-30 13:13:32 | fattinesses | 2 | 86808 | 31 | 17.750 | 4890.6 |
| 503 | 2025-05-30 02:38:37 | fattinesses | 3 | 121633 | 191 | 10.000 | 12163.3 |
| 502 | 2025-05-28 19:26:24 | fattinesses | 1 | 49908 | 5 | 0.750 | 66544.0 |
| 501 | 2025-05-19 22:53:07 | fattinesses | 2 | 86808 | 31 | 12.266 | 7077.1 |
| 500 | 2025-05-15 22:36:00 | fattinesses | 1 | 49908 | 5 | 4.093 | 12193.5 |
| 499 | 2025-05-09 20:45:35 | fattinesses | 2 | 86808 | 31 | 9.530 | 9108.9 |
| 498 | 2025-05-06 00:46:36 | fattinesses | 1 | 49908 | 5 | 3.936 | 12679.9 |
| 497 | 2025-05-03 02:29:51 | fattinesses | 3 | 121633 | 191 | 32.533 | 3738.8 |
| 496 | 2025-05-02 23:53:33 | fattinesses | 1 | 49908 | 5 | 4.486 | 11125.3 |
| 495 | 2025-04-30 08:25:04 | fattinesses | 3 | 121633 | 191 | 37.143 | 3274.7 |
| 494 | 2025-04-28 03:31:31 | fattinesses | 3 | 121633 | 191 | 23.156 | 5252.8 |
| 493 | 2025-04-27 13:00:41 | fattinesses | 2 | 86808 | 31 | 5.703 | 15221.5 |
| 492 | 2025-04-27 03:07:23 | fattinesses | 3 | 121633 | 191 | 26.500 | 4589.9 |
| 491 | 2025-04-25 19:25:20 | fattinesses | 1 | 49908 | 5 | 1.253 | 39830.8 |
| 490 | 2025-04-13 22:31:32 | fattinesses | 1 | 49908 | 5 | 2.220 | 22481.1 |
| 489 | 2025-04-06 06:01:15 | fattinesses | 1 | 49908 | 5 | 3.876 | 12876.2 |
| 488 | 2025-04-05 20:27:30 | fattinesses | 2 | 86808 | 31 | 11.936 | 7272.8 |
| 487 | 2025-04-04 14:56:58 | fattinesses | 2 | 86808 | 31 | 17.626 | 4925.0 |
| 486 | 2025-04-03 00:05:23 | fattinesses | 1 | 49908 | 5 | 0.890 | 56076.4 |
| 485 | 2025-04-02 22:58:17 | fattinesses | 1 | 49908 | 5 | 0.860 | 58032.6 |
| 484 | 2025-03-29 19:24:55 | fattinesses | 1 | 49908 | 5 | 2.046 | 24393.0 |
| 483 | 2025-03-29 06:14:55 | fattinesses | 1 | 49908 | 5 | 5.983 | 8341.6 |
| 482 | 2025-03-27 11:09:21 | fattinesses | 3 | 121633 | 191 | 36.190 | 3361.0 |
| 481 | 2025-03-26 05:13:13 | fattinesses | 2 | 86808 | 31 | 6.186 | 14033.0 |
| 480 | 2025-03-26 01:51:07 | fattinesses | 3 | 121633 | 191 | 7.686 | 15825.3 |
| 479 | 2025-03-18 20:29:15 | fattinesses | 1 | 49908 | 5 | 0.810 | 61614.8 |
| 478 | 2025-03-14 10:35:50 | fattinesses | 1 | 49908 | 5 | 6.360 | 7847.2 |
| 477 | 2025-03-08 19:10:33 | fattinesses | 3 | 121633 | 191 | 25.313 | 4805.2 |
| 476 | 2025-03-08 03:02:08 | fattinesses | 3 | 121633 | 191 | 37.986 | 3202.0 |
| 475 | 2025-03-06 20:25:47 | fattinesses | 3 | 121633 | 191 | 25.970 | 4683.6 |
| 474 | 2025-03-06 00:16:46 | fattinesses | 3 | 121633 | 191 | 27.423 | 4435.4 |
| 473 | 2025-03-04 19:05:10 | fattinesses | 3 | 121633 | 191 | 13.610 | 8937.0 |
| 472 | 2025-03-02 08:39:11 | fattinesses | 1 | 49908 | 5 | 2.326 | 21456.6 |
| 471 | 2025-02-22 21:47:50 | fattinesses | 1 | 49908 | 5 | 2.343 | 21300.9 |
| 470 | 2025-02-22 05:47:57 | fattinesses | 1 | 49908 | 5 | 1.623 | 30750.5 |
| 469 | 2025-02-21 11:40:31 | fattinesses | 1 | 49908 | 5 | 4.186 | 11922.6 |
| 468 | 2025-02-12 22:37:29 | fattinesses | 3 | 121633 | 191 | 27.720 | 4387.9 |
| 467 | 2025-02-06 02:18:12 | fattinesses | 2 | 86808 | 31 | 9.890 | 8777.4 |
| 466 | 2025-02-03 10:53:48 | fattinesses | 3 | 121633 | 191 | 34.160 | 3560.7 |
| 465 | 2025-02-03 10:52:47 | fattinesses | 2 | 86808 | 31 | 18.970 | 4576.1 |
| 464 | 2025-02-03 00:23:10 | fattinesses | 3 | 121633 | 191 | 29.030 | 4189.9 |
| 463 | 2025-02-02 04:45:59 | fattinesses | 3 | 121633 | 191 | 18.860 | 6449.3 |
| 462 | 2025-02-02 04:45:59 | fattinesses | 2 | 86808 | 31 | 12.046 | 7206.4 |
| 461 | 2025-02-02 04:45:51 | fattinesses | 1 | 49908 | 5 | 2.236 | 22320.2 |
| 460 | 2025-01-20 08:16:48 | fattinesses | 1 | 49908 | 5 | 4.300 | 11606.5 |
| 459 | 2025-01-13 05:50:09 | fattinesses | 1 | 49908 | 5 | 0.843 | 59202.8 |
| 458 | 2025-01-13 01:20:05 | fattinesses | 3 | 121633 | 191 | 37.580 | 3236.6 |
| 457 | 2025-01-13 01:19:56 | fattinesses | 2 | 86808 | 31 | 13.186 | 6583.3 |
| 456 | 2025-01-13 01:18:21 | fattinesses | 1 | 49908 | 5 | 0.856 | 58303.7 |
| 455 | 2025-01-04 09:22:06 | fattinesses | 3 | 121633 | 191 | 28.906 | 4207.9 |
| 454 | 2025-01-04 09:21:51 | fattinesses | 2 | 86808 | 31 | 11.906 | 7291.1 |
| 453 | 2025-01-03 09:50:45 | fattinesses | 3 | 121633 | 191 | 26.986 | 4507.3 |
| 452 | 2025-01-02 06:43:41 | fattinesses | 3 | 121633 | 191 | 30.626 | 3971.6 |
| 451 | 2025-01-02 06:43:45 | fattinesses | 2 | 86808 | 31 | 11.800 | 7356.6 |
| 450 | 2025-01-02 06:39:13 | fattinesses | 1 | 49908 | 5 | 5.796 | 8610.8 |
| 449 | 2024-12-21 06:34:37 | fattinesses | 1 | 49908 | 5 | 0.733 | 68087.3 |
| 448 | 2024-12-13 06:43:40 | fattinesses | 2 | 86808 | 31 | 10.270 | 8452.6 |
| 447 | 2024-12-12 22:04:00 | fattinesses | 3 | 121633 | 191 | 26.203 | 4641.9 |