History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preselect"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 428 | 2025-10-16 16:19:18 | preselect | 1 | 81242 | 4 | 1.453 | 55913.3 |
| 427 | 2025-10-16 07:49:39 | preselect | 1 | 81242 | 4 | 1.576 | 51549.5 |
| 426 | 2025-10-14 11:33:57 | preselect | 1 | 81242 | 4 | 1.483 | 54782.2 |
| 425 | 2025-10-14 10:13:30 | preselect | 1 | 81242 | 4 | 1.436 | 56575.2 |
| 424 | 2025-10-12 18:02:55 | preselect | 1 | 81242 | 4 | 1.563 | 51978.2 |
| 423 | 2025-10-07 18:07:37 | preselect | 1 | 81242 | 4 | 1.453 | 55913.3 |
| 422 | 2025-10-07 09:02:37 | preselect | 1 | 81242 | 4 | 1.533 | 52995.4 |
| 421 | 2025-09-29 20:21:53 | preselect | 1 | 81242 | 4 | 1.486 | 54671.6 |
| 420 | 2025-09-28 13:30:36 | preselect | 1 | 81242 | 4 | 1.403 | 57905.9 |
| 419 | 2025-09-23 07:53:16 | preselect | 1 | 81242 | 4 | 1.343 | 60492.9 |
| 418 | 2025-09-22 09:37:31 | preselect | 1 | 81242 | 4 | 1.500 | 54161.3 |
| 417 | 2025-09-15 17:33:42 | preselect | 1 | 81242 | 4 | 1.373 | 59171.2 |
| 416 | 2025-09-14 19:32:29 | preselect | 3 | 148641 | 50 | 7.423 | 20024.4 |
| 415 | 2025-09-14 05:24:23 | preselect | 1 | 81242 | 4 | 1.436 | 56575.2 |
| 414 | 2025-09-12 12:02:26 | preselect | 1 | 81242 | 4 | 1.470 | 55266.7 |
| 413 | 2025-09-10 17:52:09 | preselect | 2 | 121436 | 12 | 6.830 | 17779.8 |
| 412 | 2025-09-08 15:42:52 | preselect | 1 | 81242 | 4 | 1.296 | 62686.7 |
| 411 | 2025-09-08 07:58:44 | preselect | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 410 | 2025-09-05 12:15:39 | preselect | 1 | 81242 | 4 | 1.500 | 54161.3 |
| 409 | 2025-09-04 10:33:46 | preselect | 1 | 81242 | 4 | 1.470 | 55266.7 |
| 408 | 2025-08-28 20:22:04 | preselect | 1 | 81242 | 4 | 1.423 | 57092.1 |
| 407 | 2025-08-28 13:25:18 | preselect | 1 | 81242 | 4 | 1.486 | 54671.6 |
| 406 | 2025-08-12 02:23:15 | preselect | 2 | 121436 | 12 | 16.453 | 7380.8 |
| 405 | 2025-08-06 17:54:13 | preselect | 2 | 121436 | 12 | 9.373 | 12955.9 |
| 404 | 2025-08-04 10:09:26 | preselect | 3 | 148641 | 50 | 53.643 | 2770.9 |
| 403 | 2025-08-04 09:39:41 | preselect | 1 | 81242 | 4 | 3.436 | 23644.4 |
| 402 | 2025-07-31 15:50:15 | preselect | 1 | 81242 | 4 | 1.483 | 54782.2 |
| 401 | 2025-07-30 23:47:45 | preselect | 3 | 148641 | 50 | 13.936 | 10666.0 |
| 400 | 2025-07-29 10:29:40 | preselect | 3 | 148641 | 50 | 19.626 | 7573.7 |
| 399 | 2025-07-24 23:08:31 | preselect | 1 | 81242 | 4 | 3.110 | 26122.8 |
| 398 | 2025-07-23 22:45:18 | preselect | 1 | 81242 | 4 | 9.546 | 8510.6 |
| 397 | 2025-07-23 14:56:31 | preselect | 1 | 81242 | 4 | 10.423 | 7794.5 |
| 396 | 2025-07-17 13:46:25 | preselect | 1 | 81242 | 4 | 7.000 | 11606.0 |
| 395 | 2025-07-07 08:11:20 | preselect | 1 | 81242 | 4 | 6.860 | 11842.9 |
| 394 | 2025-07-02 09:10:35 | preselect | 3 | 148641 | 50 | 42.830 | 3470.5 |
| 393 | 2025-06-30 03:04:57 | preselect | 3 | 148641 | 50 | 48.833 | 3043.9 |
| 392 | 2025-06-29 23:05:57 | preselect | 3 | 148641 | 50 | 41.063 | 3619.8 |
| 391 | 2025-06-29 15:17:11 | preselect | 4 | 165329 | 336 | 41.990 | 3937.3 |
| 390 | 2025-06-27 16:20:23 | preselect | 4 | 165329 | 336 | 65.460 | 2525.6 |
| 389 | 2025-06-26 22:33:00 | preselect | 4 | 165329 | 336 | 91.770 | 1801.6 |
| 388 | 2025-06-25 23:02:38 | preselect | 4 | 165329 | 336 | 53.440 | 3093.7 |
| 387 | 2025-06-25 10:48:25 | preselect | 2 | 121436 | 12 | 3.846 | 31574.6 |
| 386 | 2025-06-25 07:57:10 | preselect | 3 | 148641 | 50 | 25.690 | 5785.9 |
| 385 | 2025-06-25 02:24:45 | preselect | 4 | 165329 | 336 | 43.970 | 3760.0 |
| 384 | 2025-06-24 14:59:42 | preselect | 1 | 81242 | 4 | 2.140 | 37963.6 |
| 383 | 2025-06-21 21:53:08 | preselect | 1 | 81242 | 4 | 5.346 | 15196.8 |
| 382 | 2025-06-21 20:51:32 | preselect | 1 | 81242 | 4 | 3.750 | 21664.5 |
| 381 | 2025-06-19 17:09:29 | preselect | 3 | 148641 | 50 | 7.936 | 18730.0 |
| 380 | 2025-06-19 02:04:15 | preselect | 2 | 121436 | 12 | 3.763 | 32271.1 |
| 379 | 2025-06-19 00:01:39 | preselect | 3 | 148641 | 50 | 46.566 | 3192.0 |
| 378 | 2025-06-17 20:49:15 | preselect | 1 | 81242 | 4 | 3.516 | 23106.4 |
| 377 | 2025-06-04 10:22:11 | preselect | 1 | 81242 | 4 | 10.186 | 7975.8 |
| 376 | 2025-06-04 08:12:31 | preselect | 1 | 81242 | 4 | 3.466 | 23439.7 |
| 375 | 2025-06-02 09:54:23 | preselect | 2 | 121436 | 12 | 18.680 | 6500.9 |
| 374 | 2025-06-01 09:33:45 | preselect | 1 | 81242 | 4 | 1.516 | 53589.7 |
| 373 | 2025-05-29 19:09:50 | preselect | 1 | 81242 | 4 | 3.766 | 21572.5 |
| 372 | 2025-05-26 08:33:11 | preselect | 3 | 148641 | 50 | 37.126 | 4003.7 |
| 371 | 2025-05-25 22:52:13 | preselect | 1 | 81242 | 4 | 7.186 | 11305.6 |
| 370 | 2025-05-25 01:28:25 | preselect | 1 | 81242 | 4 | 3.346 | 24280.3 |
| 369 | 2025-05-12 15:03:48 | preselect | 1 | 81242 | 4 | 9.516 | 8537.4 |
| 368 | 2025-05-12 13:49:13 | preselect | 3 | 148641 | 50 | 21.956 | 6769.9 |
| 367 | 2025-05-12 06:37:10 | preselect | 2 | 121436 | 12 | 9.563 | 12698.5 |
| 366 | 2025-05-11 13:32:47 | preselect | 1 | 81242 | 4 | 1.453 | 55913.3 |
| 365 | 2025-04-26 19:57:53 | preselect | 3 | 148641 | 50 | 23.906 | 6217.7 |
| 364 | 2025-04-26 09:37:01 | preselect | 3 | 148641 | 50 | 37.003 | 4017.0 |
| 363 | 2025-04-26 08:44:26 | preselect | 1 | 81242 | 4 | 3.500 | 23212.0 |
| 362 | 2025-04-25 09:08:53 | preselect | 1 | 81242 | 4 | 3.313 | 24522.2 |
| 361 | 2025-04-17 20:22:58 | preselect | 1 | 81242 | 4 | 8.580 | 9468.8 |
| 360 | 2025-04-17 14:59:21 | preselect | 1 | 81242 | 4 | 1.390 | 58447.5 |
| 359 | 2025-04-11 15:51:58 | preselect | 1 | 81242 | 4 | 8.593 | 9454.4 |
| 358 | 2025-04-06 09:48:26 | preselect | 1 | 81242 | 4 | 7.220 | 11252.4 |
| 357 | 2025-03-31 16:23:30 | preselect | 1 | 81242 | 4 | 7.220 | 11252.4 |
| 356 | 2025-03-26 17:16:59 | preselect | 3 | 148641 | 50 | 26.813 | 5543.6 |
| 355 | 2025-03-25 10:37:40 | preselect | 3 | 148641 | 50 | 43.266 | 3435.5 |
| 354 | 2025-03-25 10:25:58 | preselect | 1 | 81242 | 4 | 5.906 | 13755.8 |
| 353 | 2025-03-24 18:29:30 | preselect | 2 | 121436 | 12 | 3.826 | 31739.7 |
| 352 | 2025-03-24 18:07:44 | preselect | 3 | 148641 | 50 | 7.326 | 20289.5 |
| 351 | 2025-03-22 10:31:07 | preselect | 1 | 81242 | 4 | 6.906 | 11764.0 |
| 350 | 2025-03-21 18:56:28 | preselect | 3 | 148641 | 50 | 42.376 | 3507.7 |
| 349 | 2025-03-21 03:16:25 | preselect | 2 | 121436 | 12 | 19.300 | 6292.0 |
| 348 | 2025-03-21 00:02:31 | preselect | 3 | 148641 | 50 | 36.016 | 4127.1 |
| 347 | 2025-03-19 21:43:22 | preselect | 1 | 81242 | 4 | 7.376 | 11014.4 |
| 346 | 2025-02-25 16:37:12 | preselect | 1 | 81242 | 4 | 1.376 | 59042.2 |
| 345 | 2025-02-22 19:10:18 | preselect | 1 | 81242 | 4 | 3.920 | 20725.0 |
| 344 | 2025-02-19 14:53:43 | preselect | 1 | 81242 | 4 | 6.656 | 12205.8 |
| 343 | 2025-02-18 21:08:52 | preselect | 1 | 81242 | 4 | 4.466 | 18191.2 |
| 342 | 2025-01-26 17:23:15 | preselect | 1 | 81242 | 4 | 1.390 | 58447.5 |
| 341 | 2025-01-19 07:57:24 | preselect | 1 | 81242 | 4 | 6.763 | 12012.7 |
| 340 | 2025-01-18 10:46:35 | preselect | 2 | 121436 | 12 | 16.533 | 7345.1 |
| 339 | 2025-01-18 10:44:54 | preselect | 1 | 81242 | 4 | 5.623 | 14448.2 |
| 338 | 2025-01-09 04:33:11 | preselect | 3 | 148641 | 50 | 45.673 | 3254.5 |
| 337 | 2025-01-02 13:26:01 | preselect | 3 | 148641 | 50 | 36.660 | 4054.6 |
| 336 | 2025-01-01 19:55:32 | preselect | 3 | 148641 | 50 | 35.300 | 4210.8 |
| 335 | 2025-01-01 19:55:37 | preselect | 2 | 121436 | 12 | 17.876 | 6793.2 |
| 334 | 2025-01-01 19:55:32 | preselect | 3 | 148641 | 50 | 19.346 | 7683.3 |
| 333 | 2025-01-01 19:54:08 | preselect | 1 | 81242 | 4 | 6.093 | 13333.7 |
| 332 | 2024-12-27 14:17:20 | preselect | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 331 | 2024-12-18 19:37:43 | preselect | 2 | 121436 | 12 | 17.483 | 6945.9 |
| 330 | 2024-12-18 19:35:16 | preselect | 1 | 81242 | 4 | 3.030 | 26812.5 |
| 329 | 2024-12-15 17:31:52 | preselect | 1 | 81242 | 4 | 6.250 | 12998.7 |