History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"ancillary"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 476 | 2025-11-02 17:15:37 | ancillary | 2 | 121436 | 7 | 3.203 | 37913.2 |
| 475 | 2025-10-31 12:30:26 | ancillary | 3 | 148641 | 24 | 7.516 | 19776.6 |
| 474 | 2025-10-31 08:12:34 | ancillary | 2 | 121436 | 7 | 3.513 | 34567.6 |
| 473 | 2025-10-30 11:41:34 | ancillary | 1 | 81242 | 1 | 1.450 | 56029.0 |
| 472 | 2025-10-30 02:17:25 | ancillary | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 471 | 2025-10-22 16:09:26 | ancillary | 1 | 81242 | 1 | 3.453 | 23527.9 |
| 470 | 2025-10-22 16:09:20 | ancillary | 1 | 81242 | 1 | 3.516 | 23106.4 |
| 469 | 2025-10-22 16:09:14 | ancillary | 1 | 81242 | 1 | 6.673 | 12174.7 |
| 468 | 2025-10-22 16:09:07 | ancillary | 1 | 81242 | 1 | 6.686 | 12151.1 |
| 467 | 2025-10-18 15:58:53 | ancillary | 4 | 165329 | 149 | 11.906 | 13886.2 |
| 466 | 2025-10-18 09:50:05 | ancillary | 4 | 165329 | 149 | 10.846 | 15243.3 |
| 465 | 2025-10-18 01:30:28 | ancillary | 4 | 165329 | 149 | 12.596 | 13125.5 |
| 464 | 2025-10-17 20:28:56 | ancillary | 4 | 165329 | 149 | 19.860 | 8324.7 |
| 463 | 2025-10-17 08:36:31 | ancillary | 4 | 165329 | 149 | 12.690 | 13028.3 |
| 462 | 2025-10-16 16:43:22 | ancillary | 4 | 165329 | 149 | 13.280 | 12449.5 |
| 461 | 2025-10-16 07:22:07 | ancillary | 3 | 148641 | 24 | 6.436 | 23095.2 |
| 460 | 2025-10-15 21:32:23 | ancillary | 2 | 121436 | 7 | 3.310 | 36687.6 |
| 459 | 2025-10-14 23:43:36 | ancillary | 1 | 81242 | 1 | 1.266 | 64172.2 |
| 458 | 2025-10-14 08:18:00 | ancillary | 2 | 121436 | 7 | 3.690 | 32909.5 |
| 457 | 2025-10-14 07:22:15 | ancillary | 3 | 148641 | 24 | 7.266 | 20457.1 |
| 456 | 2025-10-12 23:12:18 | ancillary | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 455 | 2025-10-08 06:27:45 | ancillary | 3 | 148641 | 24 | 6.750 | 22020.9 |
| 454 | 2025-10-07 17:47:26 | ancillary | 2 | 121436 | 7 | 3.110 | 39046.9 |
| 453 | 2025-10-07 12:49:55 | ancillary | 3 | 148641 | 24 | 7.263 | 20465.5 |
| 452 | 2025-10-07 02:05:35 | ancillary | 3 | 148641 | 24 | 6.360 | 23371.2 |
| 451 | 2025-10-06 16:31:11 | ancillary | 2 | 121436 | 7 | 3.203 | 37913.2 |
| 450 | 2025-10-05 19:56:08 | ancillary | 2 | 121436 | 7 | 3.813 | 31847.9 |
| 449 | 2025-10-05 05:07:20 | ancillary | 1 | 81242 | 1 | 1.296 | 62686.7 |
| 448 | 2025-09-29 12:01:33 | ancillary | 1 | 81242 | 1 | 1.376 | 59042.2 |
| 447 | 2025-09-29 02:23:46 | ancillary | 1 | 81242 | 1 | 1.330 | 61084.2 |
| 446 | 2025-09-28 21:50:02 | ancillary | 4 | 165329 | 149 | 12.016 | 13759.1 |
| 445 | 2025-09-27 21:26:02 | ancillary | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 444 | 2025-09-26 08:09:23 | ancillary | 1 | 81242 | 1 | 1.403 | 57905.9 |
| 443 | 2025-09-25 06:14:23 | ancillary | 4 | 165329 | 149 | 48.203 | 3429.8 |
| 442 | 2025-09-22 18:07:44 | ancillary | 3 | 148641 | 24 | 6.876 | 21617.4 |
| 441 | 2025-09-22 00:41:50 | ancillary | 1 | 81242 | 1 | 1.393 | 58321.6 |
| 440 | 2025-09-19 05:09:18 | ancillary | 4 | 165329 | 149 | 11.826 | 13980.1 |
| 439 | 2025-09-17 17:45:00 | ancillary | 4 | 165329 | 149 | 14.486 | 11413.0 |
| 438 | 2025-09-16 01:13:18 | ancillary | 4 | 165329 | 149 | 12.203 | 13548.2 |
| 437 | 2025-09-15 19:29:51 | ancillary | 4 | 165329 | 149 | 18.330 | 9019.6 |
| 436 | 2025-09-15 19:27:26 | ancillary | 4 | 165329 | 149 | 19.750 | 8371.1 |
| 435 | 2025-09-15 15:08:01 | ancillary | 4 | 165329 | 149 | 12.626 | 13094.3 |
| 434 | 2025-09-15 10:29:13 | ancillary | 4 | 165329 | 149 | 11.486 | 14394.0 |
| 433 | 2025-09-15 09:41:13 | ancillary | 4 | 165329 | 149 | 13.326 | 12406.5 |
| 432 | 2025-09-15 06:59:05 | ancillary | 3 | 148641 | 24 | 6.530 | 22762.8 |
| 431 | 2025-09-14 21:22:43 | ancillary | 2 | 121436 | 7 | 3.500 | 34696.0 |
| 430 | 2025-09-14 00:02:00 | ancillary | 1 | 81242 | 1 | 1.546 | 52549.8 |
| 429 | 2025-09-13 18:59:34 | ancillary | 4 | 165329 | 149 | 12.080 | 13686.2 |
| 428 | 2025-09-12 13:33:10 | ancillary | 3 | 148641 | 24 | 7.796 | 19066.3 |
| 427 | 2025-09-12 00:09:16 | ancillary | 3 | 148641 | 24 | 7.310 | 20333.9 |
| 426 | 2025-09-11 23:33:01 | ancillary | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 425 | 2025-09-10 08:17:27 | ancillary | 2 | 121436 | 7 | 3.126 | 38847.1 |
| 424 | 2025-09-10 07:18:30 | ancillary | 3 | 148641 | 24 | 7.640 | 19455.6 |
| 423 | 2025-09-09 23:32:39 | ancillary | 3 | 148641 | 24 | 7.346 | 20234.3 |
| 422 | 2025-09-09 17:46:42 | ancillary | 3 | 148641 | 24 | 6.970 | 21325.8 |
| 421 | 2025-09-08 23:20:49 | ancillary | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 420 | 2025-09-07 17:54:27 | ancillary | 3 | 148641 | 24 | 7.060 | 21054.0 |
| 419 | 2025-09-07 03:02:53 | ancillary | 2 | 121436 | 7 | 3.560 | 34111.2 |
| 418 | 2025-09-06 05:30:57 | ancillary | 2 | 121436 | 7 | 3.423 | 35476.5 |
| 417 | 2025-09-06 00:11:43 | ancillary | 2 | 121436 | 7 | 3.470 | 34996.0 |
| 416 | 2025-09-03 04:40:00 | ancillary | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 415 | 2025-08-29 12:08:25 | ancillary | 1 | 81242 | 1 | 1.423 | 57092.1 |
| 414 | 2025-08-29 02:44:27 | ancillary | 1 | 81242 | 1 | 1.360 | 59736.8 |
| 413 | 2025-08-27 20:48:50 | ancillary | 1 | 81242 | 1 | 1.390 | 58447.5 |
| 412 | 2025-08-25 05:11:19 | ancillary | 4 | 165329 | 149 | 50.973 | 3243.5 |
| 411 | 2025-08-22 01:27:44 | ancillary | 4 | 165329 | 149 | 32.220 | 5131.3 |
| 410 | 2025-08-18 07:32:16 | ancillary | 1 | 81242 | 1 | 1.233 | 65889.7 |
| 409 | 2025-08-17 04:48:15 | ancillary | 4 | 165329 | 149 | 41.033 | 4029.2 |
| 408 | 2025-08-15 15:57:46 | ancillary | 4 | 165329 | 149 | 39.640 | 4170.8 |
| 407 | 2025-08-15 12:14:50 | ancillary | 3 | 148641 | 24 | 18.203 | 8165.7 |
| 406 | 2025-08-14 22:09:40 | ancillary | 2 | 121436 | 7 | 7.780 | 15608.7 |
| 405 | 2025-08-14 00:27:06 | ancillary | 1 | 81242 | 1 | 1.453 | 55913.3 |
| 404 | 2025-08-12 03:21:08 | ancillary | 1 | 81242 | 1 | 3.530 | 23014.7 |
| 403 | 2025-08-09 01:46:12 | ancillary | 1 | 81242 | 1 | 4.500 | 18053.8 |
| 402 | 2025-08-05 19:29:49 | ancillary | 4 | 165329 | 149 | 32.286 | 5120.8 |
| 401 | 2025-08-05 11:56:10 | ancillary | 3 | 148641 | 24 | 24.456 | 6077.9 |
| 400 | 2025-08-05 04:23:40 | ancillary | 3 | 148641 | 24 | 17.343 | 8570.7 |
| 399 | 2025-08-01 12:16:30 | ancillary | 3 | 148641 | 24 | 33.110 | 4489.3 |
| 398 | 2025-08-01 11:11:38 | ancillary | 4 | 165329 | 149 | 41.186 | 4014.2 |
| 397 | 2025-08-01 06:26:24 | ancillary | 1 | 81242 | 1 | 3.406 | 23852.6 |
| 396 | 2025-07-24 16:44:07 | ancillary | 1 | 81242 | 1 | 6.280 | 12936.6 |
| 395 | 2025-07-15 19:30:27 | ancillary | 1 | 81242 | 1 | 1.986 | 40907.4 |
| 394 | 2025-07-14 16:17:42 | ancillary | 3 | 148641 | 24 | 23.173 | 6414.4 |
| 393 | 2025-07-14 09:26:41 | ancillary | 3 | 148641 | 24 | 33.393 | 4451.3 |
| 392 | 2025-07-13 23:14:29 | ancillary | 2 | 121436 | 7 | 9.470 | 12823.2 |
| 391 | 2025-07-13 07:18:27 | ancillary | 1 | 81242 | 1 | 2.296 | 35384.1 |
| 390 | 2025-07-13 00:26:32 | ancillary | 1 | 81242 | 1 | 6.656 | 12205.8 |
| 389 | 2025-06-24 11:42:11 | ancillary | 3 | 148641 | 24 | 43.333 | 3430.2 |
| 388 | 2025-06-20 20:29:32 | ancillary | 2 | 121436 | 7 | 14.763 | 8225.7 |
| 387 | 2025-06-20 08:31:43 | ancillary | 3 | 148641 | 24 | 29.220 | 5087.0 |
| 386 | 2025-06-20 07:07:53 | ancillary | 3 | 148641 | 24 | 22.173 | 6703.7 |
| 385 | 2025-06-19 05:22:53 | ancillary | 1 | 81242 | 1 | 7.626 | 10653.3 |
| 384 | 2025-05-29 08:12:47 | ancillary | 1 | 81242 | 1 | 6.186 | 13133.2 |
| 383 | 2025-05-26 03:36:49 | ancillary | 1 | 81242 | 1 | 6.703 | 12120.2 |
| 382 | 2025-05-14 09:22:26 | ancillary | 3 | 148641 | 24 | 55.333 | 2686.3 |
| 381 | 2025-05-12 06:56:49 | ancillary | 3 | 148641 | 24 | 32.503 | 4573.1 |
| 380 | 2025-05-11 04:57:10 | ancillary | 1 | 81242 | 1 | 1.376 | 59042.2 |
| 379 | 2025-04-02 07:38:18 | ancillary | 3 | 148641 | 24 | 37.360 | 3978.6 |
| 378 | 2025-03-31 22:10:35 | ancillary | 3 | 148641 | 24 | 25.343 | 5865.2 |
| 377 | 2025-03-28 12:56:04 | ancillary | 3 | 148641 | 24 | 6.513 | 22822.2 |