History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"crassnesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 517 | 2025-10-22 22:07:48 | crassnesses | 1 | 49908 | 2 | 5.033 | 9916.2 |
| 516 | 2025-10-17 12:34:45 | crassnesses | 1 | 49908 | 2 | 0.783 | 63739.5 |
| 515 | 2025-10-16 05:16:31 | crassnesses | 3 | 121633 | 69 | 4.606 | 26407.5 |
| 514 | 2025-10-14 04:48:02 | crassnesses | 2 | 86808 | 11 | 2.470 | 35144.9 |
| 513 | 2025-10-12 08:20:51 | crassnesses | 1 | 49908 | 2 | 0.780 | 63984.6 |
| 512 | 2025-10-02 07:09:19 | crassnesses | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 511 | 2025-09-28 21:17:36 | crassnesses | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 510 | 2025-09-26 17:46:20 | crassnesses | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 509 | 2025-09-26 12:32:03 | crassnesses | 1 | 49908 | 2 | 0.906 | 55086.1 |
| 508 | 2025-09-20 11:13:54 | crassnesses | 1 | 49908 | 2 | 0.800 | 62385.0 |
| 507 | 2025-09-10 17:06:37 | crassnesses | 1 | 49908 | 2 | 1.780 | 28038.2 |
| 506 | 2025-09-03 16:22:22 | crassnesses | 1 | 49908 | 2 | 0.903 | 55269.1 |
| 505 | 2025-08-29 09:51:34 | crassnesses | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 504 | 2025-08-23 01:03:28 | crassnesses | 1 | 49908 | 2 | 2.143 | 23288.8 |
| 503 | 2025-08-17 01:45:39 | crassnesses | 1 | 49908 | 2 | 1.780 | 28038.2 |
| 502 | 2025-08-10 22:46:25 | crassnesses | 1 | 49908 | 2 | 4.233 | 11790.2 |
| 501 | 2025-08-10 17:11:38 | crassnesses | 1 | 49908 | 2 | 2.016 | 24756.0 |
| 500 | 2025-08-07 07:04:40 | crassnesses | 2 | 86808 | 11 | 6.780 | 12803.5 |
| 499 | 2025-08-03 19:55:09 | crassnesses | 1 | 49908 | 2 | 1.876 | 26603.4 |
| 498 | 2025-07-31 17:25:40 | crassnesses | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 497 | 2025-07-31 09:14:13 | crassnesses | 1 | 49908 | 2 | 1.810 | 27573.5 |
| 496 | 2025-07-28 05:01:14 | crassnesses | 3 | 121633 | 69 | 25.313 | 4805.2 |
| 495 | 2025-07-24 08:31:34 | crassnesses | 1 | 49908 | 2 | 6.250 | 7985.3 |
| 494 | 2025-07-23 16:17:07 | crassnesses | 1 | 49908 | 2 | 4.406 | 11327.3 |
| 493 | 2025-07-23 02:59:05 | crassnesses | 1 | 49908 | 2 | 6.483 | 7698.3 |
| 492 | 2025-07-23 01:24:04 | crassnesses | 1 | 49908 | 2 | 2.280 | 21889.5 |
| 491 | 2025-07-15 22:48:50 | crassnesses | 1 | 49908 | 2 | 1.576 | 31667.5 |
| 490 | 2025-07-15 15:56:03 | crassnesses | 3 | 121633 | 69 | 19.266 | 6313.3 |
| 489 | 2025-07-12 16:11:52 | crassnesses | 1 | 49908 | 2 | 0.953 | 52369.4 |
| 488 | 2025-07-12 15:57:04 | crassnesses | 1 | 49908 | 2 | 0.920 | 54247.8 |
| 487 | 2025-07-11 16:03:19 | crassnesses | 3 | 121633 | 69 | 32.083 | 3791.2 |
| 486 | 2025-07-11 02:02:45 | crassnesses | 3 | 121633 | 69 | 16.253 | 7483.7 |
| 485 | 2025-07-10 16:52:30 | crassnesses | 1 | 49908 | 2 | 4.173 | 11959.7 |
| 484 | 2025-07-07 18:35:05 | crassnesses | 3 | 121633 | 69 | 10.860 | 11200.1 |
| 483 | 2025-06-30 04:19:05 | crassnesses | 1 | 49908 | 2 | 5.173 | 9647.8 |
| 482 | 2025-06-28 05:27:32 | crassnesses | 1 | 49908 | 2 | 4.890 | 10206.1 |
| 481 | 2025-06-20 14:21:14 | crassnesses | 1 | 49908 | 2 | 1.780 | 28038.2 |
| 480 | 2025-06-19 06:53:03 | crassnesses | 1 | 49908 | 2 | 3.563 | 14007.3 |
| 479 | 2025-06-18 13:58:59 | crassnesses | 1 | 49908 | 2 | 1.813 | 27527.9 |
| 478 | 2025-06-10 15:30:48 | crassnesses | 1 | 49908 | 2 | 3.533 | 14126.2 |
| 477 | 2025-06-08 14:54:34 | crassnesses | 2 | 86808 | 11 | 17.873 | 4856.9 |
| 476 | 2025-06-02 07:57:53 | crassnesses | 2 | 86808 | 11 | 6.843 | 12685.7 |
| 475 | 2025-05-30 09:45:15 | crassnesses | 1 | 49908 | 2 | 3.250 | 15356.3 |
| 474 | 2025-05-29 05:17:56 | crassnesses | 3 | 121633 | 69 | 32.503 | 3742.2 |
| 473 | 2025-05-26 03:59:03 | crassnesses | 1 | 49908 | 2 | 2.250 | 22181.3 |
| 472 | 2025-05-23 06:03:08 | crassnesses | 3 | 121633 | 69 | 23.470 | 5182.5 |
| 471 | 2025-05-20 14:03:28 | crassnesses | 3 | 121633 | 69 | 14.143 | 8600.2 |
| 470 | 2025-05-20 09:16:48 | crassnesses | 2 | 86808 | 11 | 13.640 | 6364.2 |
| 469 | 2025-05-19 09:25:10 | crassnesses | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 468 | 2025-05-09 09:24:03 | crassnesses | 4 | 148819 | 394 | 43.846 | 3394.1 |
| 467 | 2025-05-04 10:16:01 | crassnesses | 3 | 121633 | 69 | 25.250 | 4817.1 |
| 466 | 2025-05-03 05:22:48 | crassnesses | 3 | 121633 | 69 | 24.376 | 4989.9 |
| 465 | 2025-05-03 02:54:09 | crassnesses | 2 | 86808 | 11 | 13.003 | 6676.0 |
| 464 | 2025-05-03 02:37:50 | crassnesses | 3 | 121633 | 69 | 29.266 | 4156.1 |
| 463 | 2025-04-28 05:13:36 | crassnesses | 1 | 49908 | 2 | 2.390 | 20882.0 |
| 462 | 2025-04-25 11:04:16 | crassnesses | 4 | 148819 | 394 | 14.516 | 10252.1 |
| 461 | 2025-04-23 11:22:53 | crassnesses | 2 | 86808 | 11 | 6.406 | 13551.0 |
| 460 | 2025-04-23 01:29:49 | crassnesses | 4 | 148819 | 394 | 69.500 | 2141.3 |
| 459 | 2025-04-22 06:53:15 | crassnesses | 3 | 121633 | 69 | 4.826 | 25203.7 |
| 458 | 2025-04-20 03:49:38 | crassnesses | 1 | 49908 | 2 | 2.343 | 21300.9 |
| 457 | 2025-04-19 15:45:44 | crassnesses | 1 | 49908 | 2 | 0.856 | 58303.7 |
| 456 | 2025-04-18 13:47:36 | crassnesses | 3 | 121633 | 69 | 29.330 | 4147.1 |
| 455 | 2025-04-18 13:07:11 | crassnesses | 3 | 121633 | 69 | 13.750 | 8846.0 |
| 454 | 2025-04-18 08:52:31 | crassnesses | 2 | 86808 | 11 | 11.626 | 7466.7 |
| 453 | 2025-04-17 08:07:34 | crassnesses | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 452 | 2025-04-16 19:07:31 | crassnesses | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 451 | 2025-04-16 06:34:10 | crassnesses | 1 | 49908 | 2 | 5.033 | 9916.2 |
| 450 | 2025-04-04 15:29:37 | crassnesses | 1 | 49908 | 2 | 2.140 | 23321.5 |
| 449 | 2025-04-02 20:57:32 | crassnesses | 3 | 121633 | 69 | 29.920 | 4065.3 |
| 448 | 2025-03-23 19:14:44 | crassnesses | 3 | 121633 | 69 | 28.373 | 4286.9 |
| 447 | 2025-03-21 09:10:47 | crassnesses | 3 | 121633 | 69 | 25.063 | 4853.1 |
| 446 | 2025-03-20 05:42:07 | crassnesses | 1 | 49908 | 2 | 3.923 | 12721.9 |
| 445 | 2025-03-16 13:31:03 | crassnesses | 3 | 121633 | 69 | 40.503 | 3003.1 |
| 444 | 2025-03-16 13:31:01 | crassnesses | 2 | 86808 | 11 | 6.266 | 13853.8 |
| 443 | 2025-03-16 13:28:24 | crassnesses | 1 | 49908 | 2 | 4.406 | 11327.3 |
| 442 | 2025-03-16 05:06:35 | crassnesses | 1 | 49908 | 2 | 3.843 | 12986.7 |
| 441 | 2025-03-10 00:53:31 | crassnesses | 1 | 49908 | 2 | 3.953 | 12625.3 |
| 440 | 2025-02-21 11:31:35 | crassnesses | 3 | 121633 | 69 | 38.753 | 3138.7 |
| 439 | 2025-02-19 22:20:10 | crassnesses | 3 | 121633 | 69 | 31.393 | 3874.5 |
| 438 | 2025-02-19 22:20:09 | crassnesses | 2 | 86808 | 11 | 16.126 | 5383.1 |
| 437 | 2025-02-19 22:14:50 | crassnesses | 1 | 49908 | 2 | 4.000 | 12477.0 |
| 436 | 2025-02-07 11:51:02 | crassnesses | 1 | 49908 | 2 | 3.970 | 12571.3 |
| 435 | 2025-02-06 17:23:50 | crassnesses | 3 | 121633 | 69 | 33.313 | 3651.2 |
| 434 | 2025-02-06 17:23:46 | crassnesses | 3 | 121633 | 69 | 17.953 | 6775.1 |
| 433 | 2025-02-06 17:23:45 | crassnesses | 2 | 86808 | 11 | 10.703 | 8110.6 |
| 432 | 2025-02-06 17:23:31 | crassnesses | 1 | 49908 | 2 | 4.266 | 11699.0 |
| 431 | 2025-01-23 09:30:21 | crassnesses | 1 | 49908 | 2 | 2.486 | 20075.6 |
| 430 | 2025-01-13 23:54:12 | crassnesses | 2 | 86808 | 11 | 17.050 | 5091.4 |
| 429 | 2025-01-07 01:19:19 | crassnesses | 1 | 49908 | 2 | 2.940 | 16975.5 |
| 428 | 2025-01-03 09:45:15 | crassnesses | 3 | 121633 | 69 | 50.676 | 2400.2 |
| 427 | 2025-01-03 00:29:37 | crassnesses | 3 | 121633 | 69 | 26.593 | 4573.9 |
| 426 | 2024-12-31 11:00:33 | crassnesses | 3 | 121633 | 69 | 19.750 | 6158.6 |
| 425 | 2024-12-31 10:59:16 | crassnesses | 1 | 49908 | 2 | 1.830 | 27272.1 |
| 424 | 2024-12-31 04:46:23 | crassnesses | 3 | 121633 | 69 | 24.160 | 5034.5 |
| 423 | 2024-12-31 04:46:27 | crassnesses | 2 | 86808 | 11 | 12.500 | 6944.6 |
| 422 | 2024-12-31 04:45:32 | crassnesses | 1 | 49908 | 2 | 4.436 | 11250.7 |
| 421 | 2024-12-24 19:27:06 | crassnesses | 4 | 148819 | 394 | 47.910 | 3106.2 |
| 420 | 2024-12-24 13:21:17 | crassnesses | 4 | 148819 | 394 | 50.160 | 2966.9 |
| 419 | 2024-12-24 03:00:19 | crassnesses | 4 | 148819 | 394 | 46.723 | 3185.1 |
| 418 | 2024-12-23 23:51:42 | crassnesses | 4 | 148819 | 394 | 44.206 | 3366.5 |