History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"prepackaged"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 374 | 2025-10-25 20:31:44 | prepackaged | 5 | 164607 | 325 | 16.940 | 9717.1 |
| 373 | 2025-10-25 02:32:21 | prepackaged | 5 | 164607 | 325 | 13.546 | 12151.7 |
| 372 | 2025-10-22 18:32:28 | prepackaged | 1 | 49908 | 4 | 3.830 | 13030.8 |
| 371 | 2025-10-22 18:32:18 | prepackaged | 1 | 49908 | 4 | 2.626 | 19005.3 |
| 370 | 2025-10-22 18:32:05 | prepackaged | 1 | 49908 | 4 | 2.173 | 22967.3 |
| 369 | 2025-10-22 18:31:55 | prepackaged | 1 | 49908 | 4 | 2.190 | 22789.0 |
| 368 | 2025-09-25 06:22:08 | prepackaged | 1 | 49908 | 4 | 4.643 | 10749.1 |
| 367 | 2025-09-25 06:21:41 | prepackaged | 1 | 49908 | 4 | 4.893 | 10199.9 |
| 366 | 2025-09-25 06:21:18 | prepackaged | 1 | 49908 | 4 | 4.216 | 11837.8 |
| 365 | 2025-09-25 06:20:54 | prepackaged | 1 | 49908 | 4 | 6.173 | 8084.9 |
| 364 | 2025-09-21 08:32:28 | prepackaged | 1 | 49908 | 4 | 0.783 | 63739.5 |
| 363 | 2025-09-21 04:27:08 | prepackaged | 4 | 148819 | 62 | 8.780 | 16949.8 |
| 362 | 2025-09-19 11:48:01 | prepackaged | 2 | 86808 | 8 | 2.513 | 34543.6 |
| 361 | 2025-09-18 00:07:28 | prepackaged | 3 | 121633 | 14 | 5.236 | 23230.1 |
| 360 | 2025-09-16 16:11:44 | prepackaged | 1 | 49908 | 4 | 0.956 | 52205.0 |
| 359 | 2025-09-16 16:03:25 | prepackaged | 3 | 121633 | 14 | 5.360 | 22692.7 |
| 358 | 2025-09-15 16:38:06 | prepackaged | 5 | 164607 | 325 | 66.580 | 2472.3 |
| 357 | 2025-09-14 07:36:27 | prepackaged | 5 | 164607 | 325 | 16.140 | 10198.7 |
| 356 | 2025-09-14 06:02:13 | prepackaged | 4 | 148819 | 62 | 8.810 | 16892.1 |
| 355 | 2025-09-13 17:53:49 | prepackaged | 2 | 86808 | 8 | 2.593 | 33477.8 |
| 354 | 2025-08-30 14:39:35 | prepackaged | 2 | 86808 | 8 | 2.406 | 36079.8 |
| 353 | 2025-08-26 21:29:10 | prepackaged | 1 | 49908 | 4 | 1.766 | 28260.5 |
| 352 | 2025-08-09 09:29:55 | prepackaged | 1 | 49908 | 4 | 2.156 | 23148.4 |
| 351 | 2025-08-04 11:26:33 | prepackaged | 1 | 49908 | 4 | 1.966 | 25385.6 |
| 350 | 2025-07-27 08:31:18 | prepackaged | 1 | 49908 | 4 | 3.640 | 13711.0 |
| 349 | 2025-07-24 05:47:43 | prepackaged | 1 | 49908 | 4 | 2.140 | 23321.5 |
| 348 | 2025-07-23 17:54:22 | prepackaged | 1 | 49908 | 4 | 4.686 | 10650.4 |
| 347 | 2025-07-23 01:55:28 | prepackaged | 1 | 49908 | 4 | 2.046 | 24393.0 |
| 346 | 2025-07-09 03:59:28 | prepackaged | 3 | 121633 | 14 | 9.406 | 12931.4 |
| 345 | 2025-07-06 14:41:10 | prepackaged | 1 | 49908 | 4 | 0.860 | 58032.6 |
| 344 | 2025-07-04 13:17:41 | prepackaged | 3 | 121633 | 14 | 34.673 | 3508.0 |
| 343 | 2025-07-04 07:17:57 | prepackaged | 2 | 86808 | 8 | 12.923 | 6717.3 |
| 342 | 2025-06-26 16:27:13 | prepackaged | 3 | 121633 | 14 | 30.656 | 3967.7 |
| 341 | 2025-06-26 02:43:45 | prepackaged | 2 | 86808 | 8 | 14.236 | 6097.8 |
| 340 | 2025-06-25 14:00:40 | prepackaged | 3 | 121633 | 14 | 4.813 | 25271.8 |
| 339 | 2025-06-24 04:45:23 | prepackaged | 1 | 49908 | 4 | 4.410 | 11317.0 |
| 338 | 2025-06-22 04:48:15 | prepackaged | 4 | 148819 | 62 | 71.956 | 2068.2 |
| 337 | 2025-06-22 02:23:19 | prepackaged | 4 | 148819 | 62 | 27.643 | 5383.6 |
| 336 | 2025-06-20 16:57:53 | prepackaged | 4 | 148819 | 62 | 39.176 | 3798.7 |
| 335 | 2025-06-16 19:38:38 | prepackaged | 4 | 148819 | 62 | 47.970 | 3102.3 |
| 334 | 2025-06-16 19:09:10 | prepackaged | 4 | 148819 | 62 | 50.330 | 2956.9 |
| 333 | 2025-06-16 16:08:23 | prepackaged | 3 | 121633 | 14 | 26.143 | 4652.6 |
| 332 | 2025-06-16 05:56:05 | prepackaged | 3 | 121633 | 14 | 36.440 | 3337.9 |
| 331 | 2025-06-15 23:25:51 | prepackaged | 3 | 121633 | 14 | 29.580 | 4112.0 |
| 330 | 2025-06-15 04:43:24 | prepackaged | 1 | 49908 | 4 | 1.330 | 37524.8 |
| 329 | 2025-06-14 11:21:18 | prepackaged | 4 | 148819 | 62 | 56.020 | 2656.5 |
| 328 | 2025-06-14 09:56:34 | prepackaged | 3 | 121633 | 14 | 41.533 | 2928.6 |
| 327 | 2025-06-14 05:46:09 | prepackaged | 5 | 164607 | 325 | 91.500 | 1799.0 |
| 326 | 2025-06-13 00:17:40 | prepackaged | 1 | 49908 | 4 | 0.876 | 56972.6 |
| 325 | 2025-05-29 00:00:07 | prepackaged | 1 | 49908 | 4 | 2.203 | 22654.6 |
| 324 | 2025-05-25 12:18:27 | prepackaged | 4 | 148819 | 62 | 11.310 | 13158.2 |
| 323 | 2025-05-23 23:47:12 | prepackaged | 1 | 49908 | 4 | 2.016 | 24756.0 |
| 322 | 2025-05-19 22:18:28 | prepackaged | 1 | 49908 | 4 | 2.313 | 21577.2 |
| 321 | 2025-05-11 23:51:14 | prepackaged | 4 | 148819 | 62 | 49.046 | 3034.3 |
| 320 | 2025-05-09 00:28:47 | prepackaged | 1 | 49908 | 4 | 0.860 | 58032.6 |
| 319 | 2025-05-08 05:41:44 | prepackaged | 2 | 86808 | 8 | 13.440 | 6458.9 |
| 318 | 2025-05-06 11:26:42 | prepackaged | 4 | 148819 | 62 | 36.456 | 4082.2 |
| 317 | 2025-05-02 19:53:12 | prepackaged | 2 | 86808 | 8 | 2.376 | 36535.4 |
| 316 | 2025-05-02 05:46:44 | prepackaged | 1 | 49908 | 4 | 5.296 | 9423.7 |
| 315 | 2025-04-30 22:38:55 | prepackaged | 4 | 148819 | 62 | 63.816 | 2332.0 |
| 314 | 2025-04-30 19:35:45 | prepackaged | 3 | 121633 | 14 | 6.390 | 19034.9 |
| 313 | 2025-04-30 15:43:28 | prepackaged | 3 | 121633 | 14 | 31.330 | 3882.3 |
| 312 | 2025-04-30 02:16:05 | prepackaged | 2 | 86808 | 8 | 6.656 | 13042.1 |
| 311 | 2025-04-29 03:31:10 | prepackaged | 1 | 49908 | 4 | 0.876 | 56972.6 |
| 310 | 2025-04-16 08:47:54 | prepackaged | 3 | 121633 | 14 | 25.266 | 4814.1 |
| 309 | 2025-04-15 13:43:32 | prepackaged | 3 | 121633 | 14 | 28.083 | 4331.2 |
| 308 | 2025-04-15 02:24:50 | prepackaged | 4 | 148819 | 62 | 35.156 | 4233.1 |
| 307 | 2025-04-13 14:58:00 | prepackaged | 3 | 121633 | 14 | 5.483 | 22183.7 |
| 306 | 2025-03-24 03:28:14 | prepackaged | 4 | 148819 | 62 | 49.766 | 2990.4 |
| 305 | 2025-03-23 22:46:07 | prepackaged | 2 | 86808 | 8 | 7.216 | 12029.9 |
| 304 | 2025-03-23 04:53:36 | prepackaged | 1 | 49908 | 4 | 2.376 | 21005.1 |
| 303 | 2025-03-13 14:51:33 | prepackaged | 4 | 148819 | 62 | 42.003 | 3543.1 |
| 302 | 2025-03-13 14:51:24 | prepackaged | 2 | 86808 | 8 | 6.876 | 12624.8 |
| 301 | 2025-03-13 14:45:17 | prepackaged | 1 | 49908 | 4 | 4.546 | 10978.4 |
| 300 | 2025-03-07 17:59:27 | prepackaged | 3 | 121633 | 14 | 24.030 | 5061.7 |
| 299 | 2025-03-05 04:31:27 | prepackaged | 2 | 86808 | 8 | 12.173 | 7131.2 |
| 298 | 2025-03-05 04:28:30 | prepackaged | 1 | 49908 | 4 | 1.800 | 27726.7 |
| 297 | 2025-03-05 00:56:20 | prepackaged | 3 | 121633 | 14 | 27.736 | 4385.4 |
| 296 | 2025-03-05 00:56:11 | prepackaged | 2 | 86808 | 8 | 12.063 | 7196.2 |
| 295 | 2025-03-05 00:52:48 | prepackaged | 1 | 49908 | 4 | 2.486 | 20075.6 |
| 294 | 2025-03-05 00:29:24 | prepackaged | 4 | 148819 | 62 | 62.143 | 2394.8 |
| 293 | 2025-03-03 08:05:15 | prepackaged | 4 | 148819 | 62 | 41.346 | 3599.4 |
| 292 | 2025-03-03 00:00:11 | prepackaged | 1 | 49908 | 4 | 2.016 | 24756.0 |
| 291 | 2025-03-01 22:53:52 | prepackaged | 3 | 121633 | 14 | 27.220 | 4468.5 |
| 290 | 2025-03-01 07:14:52 | prepackaged | 1 | 49908 | 4 | 4.483 | 11132.7 |
| 289 | 2025-02-21 07:43:57 | prepackaged | 4 | 148819 | 62 | 51.006 | 2917.7 |
| 288 | 2025-02-18 16:43:23 | prepackaged | 3 | 121633 | 14 | 13.486 | 9019.2 |
| 287 | 2025-02-08 23:33:55 | prepackaged | 3 | 121633 | 14 | 29.563 | 4114.4 |
| 286 | 2025-02-08 23:33:51 | prepackaged | 2 | 86808 | 8 | 12.310 | 7051.8 |
| 285 | 2025-02-08 23:32:51 | prepackaged | 1 | 49908 | 4 | 2.970 | 16804.0 |
| 284 | 2025-02-05 06:54:36 | prepackaged | 3 | 121633 | 14 | 34.236 | 3552.8 |
| 283 | 2025-02-05 06:54:56 | prepackaged | 2 | 86808 | 8 | 13.580 | 6392.3 |
| 282 | 2025-02-02 01:50:03 | prepackaged | 2 | 86808 | 8 | 11.656 | 7447.5 |
| 281 | 2025-02-02 01:49:21 | prepackaged | 4 | 148819 | 62 | 53.473 | 2783.1 |
| 280 | 2025-02-02 01:48:06 | prepackaged | 1 | 49908 | 4 | 5.220 | 9560.9 |
| 279 | 2025-02-02 01:46:40 | prepackaged | 4 | 148819 | 62 | 49.676 | 2995.8 |
| 278 | 2025-01-31 22:10:14 | prepackaged | 4 | 148819 | 62 | 50.063 | 2972.6 |
| 277 | 2025-01-31 22:10:12 | prepackaged | 2 | 86808 | 8 | 15.110 | 5745.1 |
| 276 | 2025-01-31 22:07:39 | prepackaged | 1 | 49908 | 4 | 3.766 | 13252.3 |
| 275 | 2025-01-24 03:57:35 | prepackaged | 3 | 121633 | 14 | 20.566 | 5914.3 |