History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"leanest"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 450 | 2025-11-17 13:35:44 | leanest | 1 | 69583 | 3 | 1.126 | 61796.6 |
| 449 | 2025-11-13 18:13:50 | leanest | 3 | 134027 | 479 | 6.280 | 21341.9 |
| 448 | 2025-11-12 13:59:36 | leanest | 2 | 107671 | 43 | 3.593 | 29966.9 |
| 447 | 2025-11-02 17:22:07 | leanest | 2 | 107671 | 43 | 3.716 | 28975.0 |
| 446 | 2025-10-29 03:37:11 | leanest | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 445 | 2025-10-26 15:33:04 | leanest | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 444 | 2025-10-22 04:35:37 | leanest | 1 | 69583 | 3 | 3.733 | 18640.0 |
| 443 | 2025-10-22 04:35:32 | leanest | 1 | 69583 | 3 | 4.876 | 14270.5 |
| 442 | 2025-09-30 13:38:44 | leanest | 1 | 69583 | 3 | 1.216 | 57222.9 |
| 441 | 2025-09-23 03:01:57 | leanest | 1 | 69583 | 3 | 1.126 | 61796.6 |
| 440 | 2025-09-18 19:33:59 | leanest | 1 | 69583 | 3 | 1.296 | 53690.6 |
| 439 | 2025-09-03 03:18:43 | leanest | 2 | 107671 | 43 | 3.263 | 32997.5 |
| 438 | 2025-09-01 17:28:43 | leanest | 3 | 134027 | 479 | 6.093 | 21996.9 |
| 437 | 2025-09-01 01:00:31 | leanest | 2 | 107671 | 43 | 3.436 | 31336.1 |
| 436 | 2025-08-31 20:05:30 | leanest | 2 | 107671 | 43 | 3.110 | 34620.9 |
| 435 | 2025-08-31 12:49:15 | leanest | 3 | 134027 | 479 | 7.123 | 18816.1 |
| 434 | 2025-08-30 09:02:44 | leanest | 3 | 134027 | 479 | 7.283 | 18402.7 |
| 433 | 2025-08-27 15:37:14 | leanest | 1 | 69583 | 3 | 1.220 | 57035.2 |
| 432 | 2025-08-23 06:44:46 | leanest | 3 | 134027 | 479 | 31.096 | 4310.1 |
| 431 | 2025-08-21 11:09:40 | leanest | 3 | 134027 | 479 | 22.076 | 6071.2 |
| 430 | 2025-08-19 02:15:55 | leanest | 3 | 134027 | 479 | 15.890 | 8434.7 |
| 429 | 2025-08-17 16:22:39 | leanest | 3 | 134027 | 479 | 28.550 | 4694.5 |
| 428 | 2025-08-14 22:50:51 | leanest | 3 | 134027 | 479 | 20.610 | 6503.0 |
| 427 | 2025-08-14 20:09:18 | leanest | 2 | 107671 | 43 | 12.936 | 8323.4 |
| 426 | 2025-08-11 17:36:30 | leanest | 1 | 69583 | 3 | 4.470 | 15566.7 |
| 425 | 2025-08-09 11:55:36 | leanest | 1 | 69583 | 3 | 2.763 | 25183.9 |
| 424 | 2025-08-05 02:47:09 | leanest | 1 | 69583 | 3 | 3.000 | 23194.3 |
| 423 | 2025-08-01 02:21:08 | leanest | 1 | 69583 | 3 | 3.046 | 22844.1 |
| 422 | 2025-07-31 23:05:00 | leanest | 1 | 69583 | 3 | 2.893 | 24052.2 |
| 421 | 2025-07-29 07:33:46 | leanest | 1 | 69583 | 3 | 6.330 | 10992.6 |
| 420 | 2025-07-27 17:24:04 | leanest | 1 | 69583 | 3 | 3.453 | 20151.5 |
| 419 | 2025-07-26 17:09:30 | leanest | 1 | 69583 | 3 | 2.843 | 24475.2 |
| 418 | 2025-07-25 04:31:46 | leanest | 1 | 69583 | 3 | 5.576 | 12479.0 |
| 417 | 2025-07-23 19:02:07 | leanest | 3 | 134027 | 479 | 36.093 | 3713.4 |
| 416 | 2025-07-21 03:55:53 | leanest | 1 | 69583 | 3 | 1.203 | 57841.2 |
| 415 | 2025-07-17 00:22:28 | leanest | 1 | 69583 | 3 | 2.873 | 24219.6 |
| 414 | 2025-07-12 07:08:50 | leanest | 2 | 107671 | 43 | 3.876 | 27778.9 |
| 413 | 2025-07-11 13:00:09 | leanest | 3 | 134027 | 479 | 34.906 | 3839.7 |
| 412 | 2025-07-11 12:01:27 | leanest | 3 | 134027 | 479 | 33.453 | 4006.4 |
| 411 | 2025-07-11 06:45:00 | leanest | 2 | 107671 | 43 | 8.780 | 12263.2 |
| 410 | 2025-07-11 04:07:10 | leanest | 3 | 134027 | 479 | 18.660 | 7182.6 |
| 409 | 2025-07-10 01:27:36 | leanest | 3 | 134027 | 479 | 36.923 | 3629.9 |
| 408 | 2025-07-09 20:18:24 | leanest | 2 | 107671 | 43 | 18.123 | 5941.1 |
| 407 | 2025-07-09 11:04:45 | leanest | 1 | 69583 | 3 | 1.716 | 40549.5 |
| 406 | 2025-07-03 20:31:05 | leanest | 1 | 69583 | 3 | 2.173 | 32021.6 |
| 405 | 2025-07-02 13:30:44 | leanest | 1 | 69583 | 3 | 1.750 | 39761.7 |
| 404 | 2025-06-27 11:33:16 | leanest | 1 | 69583 | 3 | 5.703 | 12201.1 |
| 403 | 2025-06-22 03:44:00 | leanest | 1 | 69583 | 3 | 5.576 | 12479.0 |
| 402 | 2025-06-15 23:55:27 | leanest | 1 | 69583 | 3 | 3.796 | 18330.6 |
| 401 | 2025-06-04 14:37:17 | leanest | 1 | 69583 | 3 | 2.953 | 23563.5 |
| 400 | 2025-05-31 10:26:15 | leanest | 1 | 69583 | 3 | 3.503 | 19863.8 |
| 399 | 2025-05-28 02:19:39 | leanest | 1 | 69583 | 3 | 1.203 | 57841.2 |
| 398 | 2025-05-27 11:39:45 | leanest | 2 | 107671 | 43 | 9.140 | 11780.2 |
| 397 | 2025-05-25 17:12:21 | leanest | 1 | 69583 | 3 | 1.186 | 58670.3 |
| 396 | 2025-05-22 02:27:15 | leanest | 2 | 107671 | 43 | 17.826 | 6040.1 |
| 395 | 2025-05-21 22:20:32 | leanest | 2 | 107671 | 43 | 13.110 | 8212.9 |
| 394 | 2025-05-21 13:42:06 | leanest | 1 | 69583 | 3 | 1.190 | 58473.1 |
| 393 | 2025-05-20 21:54:40 | leanest | 3 | 134027 | 479 | 6.186 | 21666.2 |
| 392 | 2025-05-20 03:15:25 | leanest | 1 | 69583 | 3 | 8.203 | 8482.6 |
| 391 | 2025-05-18 23:13:14 | leanest | 3 | 134027 | 479 | 7.190 | 18640.8 |
| 390 | 2025-05-18 19:32:36 | leanest | 3 | 134027 | 479 | 7.796 | 17191.8 |
| 389 | 2025-05-18 11:19:57 | leanest | 3 | 134027 | 479 | 38.143 | 3513.8 |
| 388 | 2025-05-17 11:35:16 | leanest | 3 | 134027 | 479 | 7.283 | 18402.7 |
| 387 | 2025-05-11 20:01:53 | leanest | 2 | 107671 | 43 | 3.390 | 31761.4 |
| 386 | 2025-04-28 01:31:04 | leanest | 1 | 69583 | 3 | 2.983 | 23326.5 |
| 385 | 2025-04-23 16:12:06 | leanest | 1 | 69583 | 3 | 3.343 | 20814.5 |
| 384 | 2025-04-22 01:18:03 | leanest | 1 | 69583 | 3 | 1.340 | 51927.6 |
| 383 | 2025-04-20 13:33:30 | leanest | 1 | 69583 | 3 | 2.983 | 23326.5 |
| 382 | 2025-04-20 02:28:11 | leanest | 1 | 69583 | 3 | 7.306 | 9524.1 |
| 381 | 2025-04-15 22:58:31 | leanest | 2 | 107671 | 43 | 11.406 | 9439.9 |
| 380 | 2025-04-15 09:31:36 | leanest | 3 | 134027 | 479 | 8.766 | 15289.4 |
| 379 | 2025-04-14 08:46:32 | leanest | 3 | 134027 | 479 | 18.953 | 7071.5 |
| 378 | 2025-04-14 06:38:09 | leanest | 2 | 107671 | 43 | 13.250 | 8126.1 |
| 377 | 2025-04-14 05:46:52 | leanest | 3 | 134027 | 479 | 36.223 | 3700.1 |
| 376 | 2025-04-13 21:39:11 | leanest | 3 | 134027 | 479 | 28.423 | 4715.4 |
| 375 | 2025-04-12 23:35:47 | leanest | 1 | 69583 | 3 | 1.096 | 63488.1 |
| 374 | 2025-04-12 17:28:28 | leanest | 3 | 134027 | 479 | 7.236 | 18522.2 |
| 373 | 2025-04-08 10:33:51 | leanest | 1 | 69583 | 3 | 6.360 | 10940.7 |
| 372 | 2025-03-30 12:05:29 | leanest | 1 | 69583 | 3 | 9.156 | 7599.7 |
| 371 | 2025-03-24 04:45:29 | leanest | 2 | 107671 | 43 | 14.033 | 7672.7 |
| 370 | 2025-03-23 18:33:49 | leanest | 1 | 69583 | 3 | 5.766 | 12067.8 |
| 369 | 2025-03-22 21:09:23 | leanest | 2 | 107671 | 43 | 14.546 | 7402.1 |
| 368 | 2025-03-21 11:41:54 | leanest | 2 | 107671 | 43 | 31.546 | 3413.1 |
| 367 | 2025-03-21 10:20:51 | leanest | 3 | 134027 | 479 | 38.223 | 3506.4 |
| 366 | 2025-03-20 16:55:35 | leanest | 1 | 69583 | 3 | 2.750 | 25302.9 |
| 365 | 2025-03-19 03:30:03 | leanest | 1 | 69583 | 3 | 1.076 | 64668.2 |
| 364 | 2025-03-14 03:54:10 | leanest | 3 | 134027 | 479 | 51.033 | 2626.3 |
| 363 | 2025-03-13 19:19:27 | leanest | 3 | 134027 | 479 | 25.350 | 5287.1 |
| 362 | 2025-03-13 19:19:18 | leanest | 2 | 107671 | 43 | 8.250 | 13051.0 |
| 361 | 2025-03-13 15:25:17 | leanest | 3 | 134027 | 479 | 43.586 | 3075.0 |
| 360 | 2025-03-13 14:04:31 | leanest | 3 | 134027 | 479 | 48.203 | 2780.5 |
| 359 | 2025-03-12 16:34:41 | leanest | 3 | 134027 | 479 | 46.363 | 2890.8 |
| 358 | 2025-03-12 14:45:18 | leanest | 3 | 134027 | 479 | 26.563 | 5045.6 |
| 357 | 2025-03-12 14:45:17 | leanest | 2 | 107671 | 43 | 14.923 | 7215.1 |
| 356 | 2025-03-12 14:40:56 | leanest | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 355 | 2025-03-07 23:50:42 | leanest | 1 | 69583 | 3 | 2.830 | 24587.6 |
| 354 | 2025-02-26 12:38:17 | leanest | 1 | 69583 | 3 | 2.843 | 24475.2 |
| 353 | 2025-02-24 21:58:19 | leanest | 1 | 69583 | 3 | 4.406 | 15792.8 |
| 352 | 2025-02-12 18:10:29 | leanest | 1 | 69583 | 3 | 5.250 | 13253.9 |
| 351 | 2025-02-06 12:33:47 | leanest | 3 | 134027 | 479 | 26.393 | 5078.1 |