History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"snowbelt"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 421 | 2025-11-01 14:47:14 | snowbelt | 1 | 82945 | 4 | 1.890 | 43886.2 |
| 420 | 2025-10-28 19:51:26 | snowbelt | 4 | 161609 | 327 | 13.016 | 12416.2 |
| 419 | 2025-10-22 10:03:35 | snowbelt | 4 | 161609 | 327 | 43.550 | 3710.9 |
| 418 | 2025-10-06 17:48:00 | snowbelt | 4 | 161609 | 327 | 10.580 | 15275.0 |
| 417 | 2025-09-25 12:55:56 | snowbelt | 1 | 82945 | 4 | 7.046 | 11771.9 |
| 416 | 2025-09-25 12:55:50 | snowbelt | 1 | 82945 | 4 | 3.656 | 22687.4 |
| 415 | 2025-09-25 12:55:47 | snowbelt | 1 | 82945 | 4 | 3.703 | 22399.4 |
| 414 | 2025-09-25 12:55:40 | snowbelt | 1 | 82945 | 4 | 8.440 | 9827.6 |
| 413 | 2025-09-17 11:20:07 | snowbelt | 2 | 121059 | 8 | 3.546 | 34139.6 |
| 412 | 2025-09-11 22:09:17 | snowbelt | 4 | 161609 | 327 | 12.703 | 12722.1 |
| 411 | 2025-09-09 12:45:32 | snowbelt | 1 | 82945 | 4 | 1.376 | 60279.8 |
| 410 | 2025-09-08 17:06:47 | snowbelt | 1 | 82945 | 4 | 2.690 | 30834.6 |
| 409 | 2025-09-08 06:50:18 | snowbelt | 1 | 82945 | 4 | 1.450 | 57203.4 |
| 408 | 2025-09-06 16:42:47 | snowbelt | 3 | 146162 | 42 | 7.156 | 20425.1 |
| 407 | 2025-08-25 02:33:41 | snowbelt | 1 | 82945 | 4 | 3.643 | 22768.3 |
| 406 | 2025-08-23 14:58:32 | snowbelt | 2 | 121059 | 8 | 10.046 | 12050.5 |
| 405 | 2025-08-23 11:14:04 | snowbelt | 3 | 146162 | 42 | 29.610 | 4936.2 |
| 404 | 2025-08-22 06:47:29 | snowbelt | 1 | 82945 | 4 | 2.766 | 29987.3 |
| 403 | 2025-08-10 20:56:56 | snowbelt | 1 | 82945 | 4 | 2.923 | 28376.7 |
| 402 | 2025-08-05 15:39:26 | snowbelt | 1 | 82945 | 4 | 3.016 | 27501.7 |
| 401 | 2025-08-02 21:13:26 | snowbelt | 1 | 82945 | 4 | 7.030 | 11798.7 |
| 400 | 2025-07-27 16:11:10 | snowbelt | 1 | 82945 | 4 | 3.656 | 22687.4 |
| 399 | 2025-07-23 18:57:51 | snowbelt | 1 | 82945 | 4 | 5.860 | 14154.4 |
| 398 | 2025-07-14 09:26:44 | snowbelt | 1 | 82945 | 4 | 10.186 | 8143.0 |
| 397 | 2025-07-14 00:32:30 | snowbelt | 3 | 146162 | 42 | 29.220 | 5002.1 |
| 396 | 2025-07-11 09:26:10 | snowbelt | 4 | 161609 | 327 | 73.660 | 2194.0 |
| 395 | 2025-07-11 04:27:25 | snowbelt | 1 | 82945 | 4 | 3.826 | 21679.3 |
| 394 | 2025-07-11 04:03:11 | snowbelt | 4 | 161609 | 327 | 61.596 | 2623.7 |
| 393 | 2025-07-10 12:42:09 | snowbelt | 4 | 161609 | 327 | 13.016 | 12416.2 |
| 392 | 2025-07-09 15:21:53 | snowbelt | 1 | 82945 | 4 | 1.610 | 51518.6 |
| 391 | 2025-07-09 14:37:22 | snowbelt | 4 | 161609 | 327 | 51.236 | 3154.2 |
| 390 | 2025-07-09 08:46:19 | snowbelt | 1 | 82945 | 4 | 3.826 | 21679.3 |
| 389 | 2025-07-07 08:22:19 | snowbelt | 1 | 82945 | 4 | 5.890 | 14082.3 |
| 388 | 2025-07-02 15:18:43 | snowbelt | 1 | 82945 | 4 | 11.143 | 7443.7 |
| 387 | 2025-07-02 08:59:08 | snowbelt | 4 | 161609 | 327 | 47.963 | 3369.5 |
| 386 | 2025-07-01 00:17:55 | snowbelt | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 385 | 2025-06-27 19:07:01 | snowbelt | 3 | 146162 | 42 | 7.140 | 20470.9 |
| 384 | 2025-06-22 01:38:32 | snowbelt | 2 | 121059 | 8 | 19.610 | 6173.3 |
| 383 | 2025-06-21 12:18:33 | snowbelt | 4 | 161609 | 327 | 52.660 | 3068.9 |
| 382 | 2025-06-17 04:24:41 | snowbelt | 4 | 161609 | 327 | 62.786 | 2574.0 |
| 381 | 2025-06-16 17:58:23 | snowbelt | 1 | 82945 | 4 | 9.423 | 8802.4 |
| 380 | 2025-06-13 06:29:45 | snowbelt | 1 | 82945 | 4 | 7.020 | 11815.5 |
| 379 | 2025-06-10 11:45:33 | snowbelt | 4 | 161609 | 327 | 45.740 | 3533.2 |
| 378 | 2025-06-10 07:58:40 | snowbelt | 1 | 82945 | 4 | 4.466 | 18572.5 |
| 377 | 2025-06-09 08:31:10 | snowbelt | 4 | 161609 | 327 | 13.126 | 12312.1 |
| 376 | 2025-06-08 14:39:22 | snowbelt | 4 | 161609 | 327 | 63.676 | 2538.0 |
| 375 | 2025-06-08 06:37:19 | snowbelt | 4 | 161609 | 327 | 41.573 | 3887.4 |
| 374 | 2025-06-07 16:47:37 | snowbelt | 1 | 82945 | 4 | 1.576 | 52630.1 |
| 373 | 2025-06-06 04:46:07 | snowbelt | 4 | 161609 | 327 | 71.183 | 2270.3 |
| 372 | 2025-05-30 08:09:44 | snowbelt | 1 | 82945 | 4 | 3.703 | 22399.4 |
| 371 | 2025-05-28 09:05:09 | snowbelt | 4 | 161609 | 327 | 43.733 | 3695.4 |
| 370 | 2025-05-25 20:21:05 | snowbelt | 1 | 82945 | 4 | 4.906 | 16906.8 |
| 369 | 2025-05-19 19:39:58 | snowbelt | 1 | 82945 | 4 | 1.546 | 53651.4 |
| 368 | 2025-05-15 19:45:37 | snowbelt | 1 | 82945 | 4 | 3.890 | 21322.6 |
| 367 | 2025-05-10 13:41:09 | snowbelt | 4 | 161609 | 327 | 63.660 | 2538.6 |
| 366 | 2025-05-10 13:14:51 | snowbelt | 3 | 146162 | 42 | 24.673 | 5924.0 |
| 365 | 2025-05-09 08:51:38 | snowbelt | 4 | 161609 | 327 | 39.816 | 4058.9 |
| 364 | 2025-05-07 23:48:27 | snowbelt | 2 | 121059 | 8 | 17.390 | 6961.4 |
| 363 | 2025-05-07 09:11:40 | snowbelt | 3 | 146162 | 42 | 7.703 | 18974.7 |
| 362 | 2025-05-06 12:21:35 | snowbelt | 3 | 146162 | 42 | 41.393 | 3531.1 |
| 361 | 2025-05-04 14:46:27 | snowbelt | 3 | 146162 | 42 | 35.796 | 4083.2 |
| 360 | 2025-05-04 14:28:49 | snowbelt | 1 | 82945 | 4 | 9.640 | 8604.3 |
| 359 | 2025-05-04 13:59:31 | snowbelt | 4 | 161609 | 327 | 69.346 | 2330.5 |
| 358 | 2025-05-04 00:20:39 | snowbelt | 4 | 161609 | 327 | 35.813 | 4512.6 |
| 357 | 2025-05-03 06:05:30 | snowbelt | 4 | 161609 | 327 | 66.556 | 2428.2 |
| 356 | 2025-05-01 16:53:06 | snowbelt | 1 | 82945 | 4 | 1.466 | 56579.1 |
| 355 | 2025-04-27 04:30:22 | snowbelt | 3 | 146162 | 42 | 11.423 | 12795.4 |
| 354 | 2025-04-26 07:38:03 | snowbelt | 3 | 146162 | 42 | 40.970 | 3567.5 |
| 353 | 2025-04-23 15:15:58 | snowbelt | 3 | 146162 | 42 | 26.750 | 5464.0 |
| 352 | 2025-04-22 19:42:12 | snowbelt | 3 | 146162 | 42 | 40.643 | 3596.2 |
| 351 | 2025-04-19 19:28:12 | snowbelt | 1 | 82945 | 4 | 1.576 | 52630.1 |
| 350 | 2025-04-06 02:56:57 | snowbelt | 1 | 82945 | 4 | 3.876 | 21399.6 |
| 349 | 2025-03-31 03:45:22 | snowbelt | 2 | 121059 | 8 | 10.233 | 11830.3 |
| 348 | 2025-03-30 19:11:58 | snowbelt | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 347 | 2025-03-25 17:01:22 | snowbelt | 2 | 121059 | 8 | 21.580 | 5609.8 |
| 346 | 2025-03-24 10:44:15 | snowbelt | 3 | 146162 | 42 | 40.063 | 3648.3 |
| 345 | 2025-03-20 00:31:58 | snowbelt | 3 | 146162 | 42 | 49.566 | 2948.8 |
| 344 | 2025-03-16 10:48:12 | snowbelt | 1 | 82945 | 4 | 7.453 | 11129.1 |
| 343 | 2025-03-15 18:58:14 | snowbelt | 3 | 146162 | 42 | 35.486 | 4118.9 |
| 342 | 2025-03-15 18:58:14 | snowbelt | 2 | 121059 | 8 | 11.703 | 10344.3 |
| 341 | 2025-03-14 17:45:03 | snowbelt | 3 | 146162 | 42 | 19.343 | 7556.3 |
| 340 | 2025-03-14 17:45:01 | snowbelt | 2 | 121059 | 8 | 14.060 | 8610.2 |
| 339 | 2025-03-14 15:28:03 | snowbelt | 1 | 82945 | 4 | 1.283 | 64649.3 |
| 338 | 2025-02-20 14:38:08 | snowbelt | 1 | 82945 | 4 | 7.266 | 11415.5 |
| 337 | 2025-02-12 03:47:35 | snowbelt | 4 | 161609 | 327 | 76.490 | 2112.8 |
| 336 | 2025-02-10 06:53:34 | snowbelt | 4 | 161609 | 327 | 58.223 | 2775.7 |
| 335 | 2025-02-09 11:17:48 | snowbelt | 4 | 161609 | 327 | 79.596 | 2030.4 |
| 334 | 2025-02-08 23:46:21 | snowbelt | 4 | 161609 | 327 | 88.943 | 1817.0 |
| 333 | 2025-02-07 20:18:04 | snowbelt | 1 | 82945 | 4 | 3.250 | 25521.5 |
| 332 | 2025-02-07 20:12:22 | snowbelt | 3 | 146162 | 42 | 10.640 | 13737.0 |
| 331 | 2025-02-07 20:12:23 | snowbelt | 3 | 146162 | 42 | 7.800 | 18738.7 |
| 330 | 2025-02-07 20:12:20 | snowbelt | 2 | 121059 | 8 | 3.373 | 35890.6 |
| 329 | 2025-02-05 22:33:01 | snowbelt | 2 | 121059 | 8 | 10.376 | 11667.2 |
| 328 | 2025-02-04 02:00:42 | snowbelt | 1 | 82945 | 4 | 3.720 | 22297.0 |
| 327 | 2025-01-30 17:57:38 | snowbelt | 3 | 146162 | 42 | 40.093 | 3645.6 |
| 326 | 2025-01-30 17:58:02 | snowbelt | 1 | 82945 | 4 | 10.500 | 7899.5 |
| 325 | 2025-01-30 17:57:36 | snowbelt | 2 | 121059 | 8 | 23.906 | 5064.0 |
| 324 | 2025-01-20 21:32:01 | snowbelt | 3 | 146162 | 42 | 41.473 | 3524.3 |
| 323 | 2025-01-19 05:21:48 | snowbelt | 2 | 121059 | 8 | 22.346 | 5417.5 |
| 322 | 2025-01-19 05:21:28 | snowbelt | 1 | 82945 | 4 | 6.703 | 12374.3 |