History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"shallowness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 418 | 2026-03-04 17:41:32 | shallowness | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 417 | 2026-02-23 20:07:19 | shallowness | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 416 | 2026-02-18 07:28:16 | shallowness | 1 | 49908 | 2 | 0.856 | 58303.7 |
| 415 | 2026-02-11 18:19:09 | shallowness | 1 | 49908 | 2 | 1.906 | 26184.7 |
| 414 | 2026-02-10 07:35:25 | shallowness | 1 | 49908 | 2 | 1.813 | 27527.9 |
| 413 | 2026-02-02 19:43:25 | shallowness | 3 | 121633 | 20 | 5.156 | 23590.6 |
| 412 | 2026-02-02 16:38:45 | shallowness | 3 | 121633 | 20 | 5.500 | 22115.1 |
| 411 | 2026-02-02 02:45:42 | shallowness | 1 | 49908 | 2 | 0.846 | 58992.9 |
| 410 | 2026-01-26 06:09:11 | shallowness | 2 | 86808 | 7 | 6.076 | 14287.0 |
| 409 | 2026-01-25 19:59:49 | shallowness | 4 | 148819 | 78 | 9.530 | 15615.8 |
| 408 | 2026-01-22 23:19:21 | shallowness | 3 | 121633 | 20 | 5.353 | 22722.4 |
| 407 | 2026-01-21 08:25:28 | shallowness | 4 | 148819 | 78 | 11.343 | 13119.9 |
| 406 | 2026-01-17 03:10:12 | shallowness | 2 | 86808 | 7 | 2.623 | 33094.9 |
| 405 | 2026-01-15 16:55:39 | shallowness | 2 | 86808 | 7 | 2.533 | 34270.8 |
| 404 | 2026-01-06 02:02:35 | shallowness | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 403 | 2026-01-03 05:17:45 | shallowness | 2 | 86808 | 7 | 2.200 | 39458.2 |
| 402 | 2026-01-02 22:59:17 | shallowness | 3 | 121633 | 20 | 4.593 | 26482.3 |
| 401 | 2026-01-02 16:27:30 | shallowness | 1 | 49908 | 2 | 4.220 | 11826.5 |
| 400 | 2025-12-19 05:52:00 | shallowness | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 399 | 2025-12-18 22:32:57 | shallowness | 1 | 49908 | 2 | 0.936 | 53320.5 |
| 398 | 2025-12-17 05:20:43 | shallowness | 1 | 49908 | 2 | 0.923 | 54071.5 |
| 397 | 2025-12-16 05:05:41 | shallowness | 1 | 49908 | 2 | 0.763 | 65410.2 |
| 396 | 2025-12-14 00:57:24 | shallowness | 1 | 49908 | 2 | 0.906 | 55086.1 |
| 395 | 2025-11-26 18:02:37 | shallowness | 4 | 148819 | 78 | 17.656 | 8428.8 |
| 394 | 2025-11-15 01:16:53 | shallowness | 3 | 121633 | 20 | 5.720 | 21264.5 |
| 393 | 2025-11-14 21:49:06 | shallowness | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 392 | 2025-09-28 03:37:04 | shallowness | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 391 | 2025-09-25 16:57:55 | shallowness | 1 | 49908 | 2 | 2.736 | 18241.2 |
| 390 | 2025-09-13 18:50:17 | shallowness | 3 | 121633 | 20 | 5.643 | 21554.7 |
| 389 | 2025-09-10 10:12:19 | shallowness | 1 | 49908 | 2 | 1.673 | 29831.4 |
| 388 | 2025-08-25 06:18:15 | shallowness | 1 | 49908 | 2 | 4.356 | 11457.3 |
| 387 | 2025-08-20 19:26:35 | shallowness | 1 | 49908 | 2 | 4.046 | 12335.1 |
| 386 | 2025-08-11 10:34:49 | shallowness | 1 | 49908 | 2 | 3.250 | 15356.3 |
| 385 | 2025-08-09 08:46:59 | shallowness | 1 | 49908 | 2 | 4.013 | 12436.6 |
| 384 | 2025-08-02 04:02:43 | shallowness | 1 | 49908 | 2 | 1.860 | 26832.3 |
| 383 | 2025-07-25 13:32:53 | shallowness | 2 | 86808 | 7 | 9.876 | 8789.8 |
| 382 | 2025-07-25 02:50:51 | shallowness | 1 | 49908 | 2 | 2.296 | 21736.9 |
| 381 | 2025-07-24 20:19:09 | shallowness | 3 | 121633 | 20 | 19.406 | 6267.8 |
| 380 | 2025-07-24 03:45:45 | shallowness | 1 | 49908 | 2 | 4.936 | 10111.0 |
| 379 | 2025-07-23 15:49:45 | shallowness | 1 | 49908 | 2 | 4.330 | 11526.1 |
| 378 | 2025-07-22 23:31:01 | shallowness | 1 | 49908 | 2 | 3.266 | 15281.1 |
| 377 | 2025-07-21 23:50:28 | shallowness | 1 | 49908 | 2 | 0.750 | 66544.0 |
| 376 | 2025-07-17 11:44:03 | shallowness | 1 | 49908 | 2 | 2.000 | 24954.0 |
| 375 | 2025-07-14 15:29:35 | shallowness | 1 | 49908 | 2 | 4.953 | 10076.3 |
| 374 | 2025-07-11 01:49:27 | shallowness | 1 | 49908 | 2 | 2.173 | 22967.3 |
| 373 | 2025-07-10 07:45:50 | shallowness | 1 | 49908 | 2 | 4.263 | 11707.2 |
| 372 | 2025-07-03 19:47:45 | shallowness | 1 | 49908 | 2 | 0.953 | 52369.4 |
| 371 | 2025-07-03 05:29:08 | shallowness | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 370 | 2025-07-02 01:58:31 | shallowness | 1 | 49908 | 2 | 5.843 | 8541.5 |
| 369 | 2025-06-18 02:45:28 | shallowness | 1 | 49908 | 2 | 3.483 | 14329.0 |
| 368 | 2025-06-16 08:00:31 | shallowness | 1 | 49908 | 2 | 4.170 | 11968.3 |
| 367 | 2025-05-30 04:41:47 | shallowness | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 366 | 2025-04-30 14:49:42 | shallowness | 1 | 49908 | 2 | 4.080 | 12232.4 |
| 365 | 2025-04-28 07:28:30 | shallowness | 1 | 49908 | 2 | 2.390 | 20882.0 |
| 364 | 2025-04-20 03:26:34 | shallowness | 1 | 49908 | 2 | 3.610 | 13824.9 |
| 363 | 2025-04-08 05:57:09 | shallowness | 1 | 49908 | 2 | 2.266 | 22024.7 |
| 362 | 2025-04-04 00:36:11 | shallowness | 4 | 148819 | 78 | 39.270 | 3789.6 |
| 361 | 2025-04-01 19:15:18 | shallowness | 1 | 49908 | 2 | 1.703 | 29305.9 |
| 360 | 2025-04-01 08:10:34 | shallowness | 4 | 148819 | 78 | 42.236 | 3523.5 |
| 359 | 2025-03-17 21:22:33 | shallowness | 4 | 148819 | 78 | 54.180 | 2746.8 |
| 358 | 2025-03-17 19:32:13 | shallowness | 2 | 86808 | 7 | 8.203 | 10582.5 |
| 357 | 2025-03-17 02:43:28 | shallowness | 4 | 148819 | 78 | 64.266 | 2315.7 |
| 356 | 2025-03-08 15:53:13 | shallowness | 1 | 49908 | 2 | 4.030 | 12384.1 |
| 355 | 2025-03-05 20:39:58 | shallowness | 3 | 121633 | 20 | 13.733 | 8857.0 |
| 354 | 2025-02-27 15:36:17 | shallowness | 3 | 121633 | 20 | 36.016 | 3377.2 |
| 353 | 2025-02-27 13:57:31 | shallowness | 2 | 86808 | 7 | 11.660 | 7444.9 |
| 352 | 2025-02-27 13:50:49 | shallowness | 1 | 49908 | 2 | 3.563 | 14007.3 |
| 351 | 2025-02-27 13:04:19 | shallowness | 3 | 121633 | 20 | 31.376 | 3876.6 |
| 350 | 2025-02-26 14:49:00 | shallowness | 3 | 121633 | 20 | 26.140 | 4653.1 |
| 349 | 2025-02-26 14:48:45 | shallowness | 1 | 49908 | 2 | 6.156 | 8107.2 |
| 348 | 2025-02-22 12:07:05 | shallowness | 3 | 121633 | 20 | 29.703 | 4095.0 |
| 347 | 2025-02-19 01:03:15 | shallowness | 4 | 148819 | 78 | 61.130 | 2434.5 |
| 346 | 2025-02-17 13:16:11 | shallowness | 3 | 121633 | 20 | 22.453 | 5417.2 |
| 345 | 2025-02-16 18:51:31 | shallowness | 1 | 49908 | 2 | 4.016 | 12427.3 |
| 344 | 2025-02-15 12:39:48 | shallowness | 4 | 148819 | 78 | 43.080 | 3454.5 |
| 343 | 2025-02-15 12:39:43 | shallowness | 3 | 121633 | 20 | 40.373 | 3012.7 |
| 342 | 2025-02-15 12:39:42 | shallowness | 2 | 86808 | 7 | 11.263 | 7707.4 |
| 341 | 2025-02-15 12:38:40 | shallowness | 4 | 148819 | 78 | 47.576 | 3128.0 |
| 340 | 2025-02-15 12:37:17 | shallowness | 1 | 49908 | 2 | 2.970 | 16804.0 |
| 339 | 2025-02-13 07:40:43 | shallowness | 2 | 86808 | 7 | 10.906 | 7959.7 |
| 338 | 2025-01-24 18:46:31 | shallowness | 1 | 49908 | 2 | 4.046 | 12335.1 |
| 337 | 2025-01-24 02:11:52 | shallowness | 2 | 86808 | 7 | 9.376 | 9258.5 |
| 336 | 2025-01-24 02:11:01 | shallowness | 1 | 49908 | 2 | 3.000 | 16636.0 |
| 335 | 2025-01-02 05:26:24 | shallowness | 4 | 148819 | 78 | 39.993 | 3721.1 |
| 334 | 2025-01-02 05:25:44 | shallowness | 1 | 49908 | 2 | 5.716 | 8731.3 |
| 333 | 2025-01-02 05:00:42 | shallowness | 2 | 86808 | 7 | 12.800 | 6781.9 |
| 332 | 2025-01-01 16:05:43 | shallowness | 1 | 49908 | 2 | 1.846 | 27035.8 |
| 331 | 2025-01-01 03:25:49 | shallowness | 3 | 121633 | 20 | 23.486 | 5179.0 |
| 330 | 2024-12-30 05:11:22 | shallowness | 4 | 148819 | 78 | 54.003 | 2755.8 |
| 329 | 2024-12-25 14:53:15 | shallowness | 4 | 148819 | 78 | 48.830 | 3047.7 |
| 328 | 2024-12-25 04:40:29 | shallowness | 4 | 148819 | 78 | 35.690 | 4169.8 |
| 327 | 2024-12-25 04:40:14 | shallowness | 4 | 148819 | 78 | 45.316 | 3284.0 |
| 326 | 2024-12-25 04:40:31 | shallowness | 3 | 121633 | 20 | 26.126 | 4655.6 |
| 325 | 2024-12-25 04:40:31 | shallowness | 2 | 86808 | 7 | 11.346 | 7651.0 |
| 324 | 2024-12-25 04:38:07 | shallowness | 1 | 49908 | 2 | 1.783 | 27991.0 |
| 323 | 2024-12-18 03:53:01 | shallowness | 1 | 49908 | 2 | 5.813 | 8585.6 |
| 322 | 2024-12-01 00:11:33 | shallowness | 1 | 49908 | 2 | 3.966 | 12584.0 |
| 321 | 2024-11-21 23:01:22 | shallowness | 1 | 49908 | 2 | 4.046 | 12335.1 |
| 320 | 2024-11-16 20:03:05 | shallowness | 3 | 121633 | 20 | 22.610 | 5379.6 |
| 319 | 2024-11-16 19:28:13 | shallowness | 1 | 49908 | 2 | 2.123 | 23508.2 |