History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"valuational"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 456 | 2025-10-30 15:03:57 | valuational | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 455 | 2025-10-30 06:11:03 | valuational | 2 | 86808 | 7 | 6.080 | 14277.6 |
| 454 | 2025-10-29 22:21:35 | valuational | 2 | 86808 | 7 | 2.373 | 36581.5 |
| 453 | 2025-10-29 00:24:04 | valuational | 1 | 49908 | 1 | 0.923 | 54071.5 |
| 452 | 2025-10-28 18:07:50 | valuational | 3 | 121633 | 24 | 4.326 | 28116.7 |
| 451 | 2025-10-26 18:20:38 | valuational | 4 | 148819 | 110 | 11.140 | 13359.0 |
| 450 | 2025-10-26 08:39:05 | valuational | 3 | 121633 | 24 | 5.200 | 23391.0 |
| 449 | 2025-10-25 13:15:58 | valuational | 4 | 148819 | 110 | 9.000 | 16535.4 |
| 448 | 2025-10-25 04:28:10 | valuational | 4 | 148819 | 110 | 12.330 | 12069.7 |
| 447 | 2025-10-23 21:47:57 | valuational | 4 | 148819 | 110 | 8.936 | 16653.9 |
| 446 | 2025-10-23 13:56:44 | valuational | 1 | 49908 | 1 | 0.810 | 61614.8 |
| 445 | 2025-10-22 07:22:24 | valuational | 3 | 121633 | 24 | 4.923 | 24707.1 |
| 444 | 2025-10-21 08:22:44 | valuational | 3 | 121633 | 24 | 12.313 | 9878.4 |
| 443 | 2025-10-21 08:22:16 | valuational | 3 | 121633 | 24 | 21.156 | 5749.3 |
| 442 | 2025-10-21 08:21:43 | valuational | 3 | 121633 | 24 | 12.436 | 9780.7 |
| 441 | 2025-10-21 08:20:52 | valuational | 4 | 148819 | 110 | 49.000 | 3037.1 |
| 440 | 2025-10-21 08:20:58 | valuational | 3 | 121633 | 24 | 12.673 | 9597.8 |
| 439 | 2025-10-21 08:20:20 | valuational | 4 | 148819 | 110 | 49.453 | 3009.3 |
| 438 | 2025-10-21 08:20:36 | valuational | 4 | 148819 | 110 | 30.296 | 4912.2 |
| 437 | 2025-10-21 08:20:11 | valuational | 4 | 148819 | 110 | 43.640 | 3410.2 |
| 436 | 2025-10-21 05:21:20 | valuational | 1 | 49908 | 1 | 2.890 | 17269.2 |
| 435 | 2025-10-20 15:16:58 | valuational | 4 | 148819 | 110 | 36.550 | 4071.7 |
| 434 | 2025-10-20 03:34:32 | valuational | 2 | 86808 | 7 | 11.406 | 7610.7 |
| 433 | 2025-10-19 13:10:38 | valuational | 1 | 49908 | 1 | 2.890 | 17269.2 |
| 432 | 2025-10-19 06:42:00 | valuational | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 431 | 2025-10-19 02:31:12 | valuational | 2 | 86808 | 7 | 2.106 | 41219.4 |
| 430 | 2025-10-18 20:43:56 | valuational | 2 | 86808 | 7 | 2.376 | 36535.4 |
| 429 | 2025-10-18 19:46:32 | valuational | 4 | 148819 | 110 | 8.046 | 18496.0 |
| 428 | 2025-10-18 13:59:12 | valuational | 1 | 49908 | 1 | 0.733 | 68087.3 |
| 427 | 2025-10-18 13:06:13 | valuational | 3 | 121633 | 24 | 4.923 | 24707.1 |
| 426 | 2025-10-17 19:05:18 | valuational | 3 | 121633 | 24 | 5.266 | 23097.8 |
| 425 | 2025-10-16 12:23:49 | valuational | 2 | 86808 | 7 | 2.266 | 38308.9 |
| 424 | 2025-10-16 00:41:21 | valuational | 3 | 121633 | 24 | 9.140 | 13307.8 |
| 423 | 2025-10-15 15:11:52 | valuational | 4 | 148819 | 110 | 8.173 | 18208.6 |
| 422 | 2025-10-15 09:08:39 | valuational | 3 | 121633 | 24 | 4.483 | 27132.1 |
| 421 | 2025-10-14 09:22:44 | valuational | 2 | 86808 | 7 | 2.406 | 36079.8 |
| 420 | 2025-10-14 06:03:05 | valuational | 1 | 49908 | 1 | 0.763 | 65410.2 |
| 419 | 2025-10-12 09:04:56 | valuational | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 418 | 2025-10-11 04:32:18 | valuational | 2 | 86808 | 7 | 2.390 | 36321.3 |
| 417 | 2025-10-06 17:29:23 | valuational | 1 | 49908 | 1 | 0.906 | 55086.1 |
| 416 | 2025-10-04 23:28:41 | valuational | 3 | 121633 | 24 | 4.690 | 25934.5 |
| 415 | 2025-09-28 22:30:13 | valuational | 2 | 86808 | 7 | 2.360 | 36783.1 |
| 414 | 2025-09-28 07:40:36 | valuational | 4 | 148819 | 110 | 9.050 | 16444.1 |
| 413 | 2025-09-28 00:19:31 | valuational | 1 | 49908 | 1 | 0.923 | 54071.5 |
| 412 | 2025-09-27 01:40:54 | valuational | 4 | 148819 | 110 | 8.923 | 16678.1 |
| 411 | 2025-09-27 01:40:27 | valuational | 4 | 148819 | 110 | 8.830 | 16853.8 |
| 410 | 2025-09-24 08:41:12 | valuational | 3 | 121633 | 24 | 5.156 | 23590.6 |
| 409 | 2025-09-23 10:59:34 | valuational | 4 | 148819 | 110 | 11.030 | 13492.2 |
| 408 | 2025-09-23 10:58:56 | valuational | 4 | 148819 | 110 | 10.360 | 14364.8 |
| 407 | 2025-09-22 06:39:08 | valuational | 4 | 148819 | 110 | 9.190 | 16193.6 |
| 406 | 2025-09-21 13:32:24 | valuational | 4 | 148819 | 110 | 11.563 | 12870.3 |
| 405 | 2025-09-20 14:18:44 | valuational | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 404 | 2025-09-19 13:11:15 | valuational | 3 | 121633 | 24 | 4.983 | 24409.6 |
| 403 | 2025-09-19 06:01:08 | valuational | 2 | 86808 | 7 | 2.373 | 36581.5 |
| 402 | 2025-09-18 10:11:36 | valuational | 3 | 121633 | 24 | 4.610 | 26384.6 |
| 401 | 2025-09-18 06:40:32 | valuational | 1 | 49908 | 1 | 0.920 | 54247.8 |
| 400 | 2025-09-18 00:48:29 | valuational | 2 | 86808 | 7 | 2.030 | 42762.6 |
| 399 | 2025-09-18 00:21:05 | valuational | 2 | 86808 | 7 | 2.513 | 34543.6 |
| 398 | 2025-09-18 00:14:35 | valuational | 1 | 49908 | 1 | 1.326 | 37638.0 |
| 397 | 2025-09-17 15:54:20 | valuational | 4 | 148819 | 110 | 9.013 | 16511.6 |
| 396 | 2025-09-17 14:18:43 | valuational | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 395 | 2025-09-17 13:53:00 | valuational | 2 | 86808 | 7 | 4.610 | 18830.4 |
| 394 | 2025-09-17 08:56:20 | valuational | 3 | 121633 | 24 | 4.750 | 25606.9 |
| 393 | 2025-09-17 08:55:56 | valuational | 3 | 121633 | 24 | 7.016 | 17336.5 |
| 392 | 2025-09-16 15:29:39 | valuational | 4 | 148819 | 110 | 9.406 | 15821.7 |
| 391 | 2025-09-16 13:01:44 | valuational | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 390 | 2025-09-15 13:34:26 | valuational | 2 | 86808 | 7 | 2.563 | 33869.7 |
| 389 | 2025-09-15 08:22:59 | valuational | 3 | 121633 | 24 | 5.123 | 23742.5 |
| 388 | 2025-09-15 00:38:57 | valuational | 4 | 148819 | 110 | 12.890 | 11545.3 |
| 387 | 2025-09-15 00:35:15 | valuational | 3 | 121633 | 24 | 5.393 | 22553.9 |
| 386 | 2025-09-14 21:29:29 | valuational | 3 | 121633 | 24 | 5.030 | 24181.5 |
| 385 | 2025-09-14 11:56:11 | valuational | 2 | 86808 | 7 | 2.343 | 37049.9 |
| 384 | 2025-09-14 08:27:52 | valuational | 3 | 121633 | 24 | 9.253 | 13145.3 |
| 383 | 2025-09-14 05:35:44 | valuational | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 382 | 2025-09-13 09:27:58 | valuational | 2 | 86808 | 7 | 2.030 | 42762.6 |
| 381 | 2025-09-12 00:57:50 | valuational | 2 | 86808 | 7 | 2.546 | 34095.8 |
| 380 | 2025-09-10 16:02:12 | valuational | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 379 | 2025-09-05 16:19:16 | valuational | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 378 | 2025-08-30 02:14:23 | valuational | 1 | 49908 | 1 | 0.810 | 61614.8 |
| 377 | 2025-08-28 22:48:03 | valuational | 2 | 86808 | 7 | 2.326 | 37320.7 |
| 376 | 2025-08-28 00:17:45 | valuational | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 375 | 2025-08-19 13:07:16 | valuational | 3 | 121633 | 24 | 14.953 | 8134.4 |
| 374 | 2025-08-18 14:18:18 | valuational | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 373 | 2025-08-17 14:07:37 | valuational | 1 | 49908 | 1 | 3.186 | 15664.8 |
| 372 | 2025-08-17 06:48:21 | valuational | 1 | 49908 | 1 | 1.970 | 25334.0 |
| 371 | 2025-08-09 15:45:38 | valuational | 2 | 86808 | 7 | 14.953 | 5805.4 |
| 370 | 2025-08-09 14:22:13 | valuational | 1 | 49908 | 1 | 5.470 | 9123.9 |
| 369 | 2025-08-05 18:53:06 | valuational | 1 | 49908 | 1 | 1.780 | 28038.2 |
| 368 | 2025-07-25 06:30:34 | valuational | 1 | 49908 | 1 | 1.250 | 39926.4 |
| 367 | 2025-07-16 17:49:11 | valuational | 4 | 148819 | 110 | 46.860 | 3175.8 |
| 366 | 2025-07-16 08:59:36 | valuational | 3 | 121633 | 24 | 10.906 | 11152.9 |
| 365 | 2025-07-16 01:49:29 | valuational | 2 | 86808 | 7 | 2.873 | 30215.1 |
| 364 | 2025-07-15 02:41:18 | valuational | 1 | 49908 | 1 | 5.516 | 9047.9 |
| 363 | 2025-07-13 15:00:57 | valuational | 1 | 49908 | 1 | 1.560 | 31992.3 |
| 362 | 2025-07-11 04:57:48 | valuational | 2 | 86808 | 7 | 5.593 | 15520.8 |
| 361 | 2025-07-10 00:59:14 | valuational | 1 | 49908 | 1 | 5.720 | 8725.2 |
| 360 | 2025-07-07 13:35:41 | valuational | 1 | 49908 | 1 | 4.170 | 11968.3 |
| 359 | 2025-07-01 18:19:30 | valuational | 2 | 86808 | 7 | 2.346 | 37002.6 |
| 358 | 2025-06-25 00:23:39 | valuational | 2 | 86808 | 7 | 6.300 | 13779.0 |
| 357 | 2025-06-21 09:38:39 | valuational | 1 | 49908 | 1 | 0.843 | 59202.8 |