History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"precomputed"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 375 | 2025-11-26 16:02:12 | precomputed | 4 | 148819 | 74 | 46.906 | 3172.7 |
| 374 | 2025-11-25 06:03:50 | precomputed | 5 | 164607 | 466 | 17.470 | 9422.3 |
| 373 | 2025-11-24 14:51:03 | precomputed | 1 | 49908 | 5 | 0.970 | 51451.5 |
| 372 | 2025-11-24 09:32:52 | precomputed | 1 | 49908 | 5 | 1.686 | 29601.4 |
| 371 | 2025-11-22 21:02:35 | precomputed | 1 | 49908 | 5 | 1.203 | 41486.3 |
| 370 | 2025-11-22 13:51:08 | precomputed | 4 | 148819 | 74 | 9.346 | 15923.3 |
| 369 | 2025-11-22 03:49:05 | precomputed | 2 | 86808 | 7 | 15.016 | 5781.0 |
| 368 | 2025-11-21 21:41:02 | precomputed | 3 | 121633 | 14 | 18.966 | 6413.2 |
| 367 | 2025-11-21 19:30:21 | precomputed | 2 | 86808 | 7 | 6.440 | 13479.5 |
| 366 | 2025-11-21 18:46:09 | precomputed | 5 | 164607 | 466 | 22.673 | 7260.0 |
| 365 | 2025-11-21 17:04:26 | precomputed | 3 | 121633 | 14 | 10.686 | 11382.5 |
| 364 | 2025-11-21 05:09:16 | precomputed | 2 | 86808 | 7 | 6.313 | 13750.7 |
| 363 | 2025-11-21 02:09:30 | precomputed | 4 | 148819 | 74 | 10.890 | 13665.7 |
| 362 | 2025-11-20 17:43:52 | precomputed | 4 | 148819 | 74 | 8.796 | 16918.9 |
| 361 | 2025-11-19 00:00:58 | precomputed | 4 | 148819 | 74 | 9.390 | 15848.7 |
| 360 | 2025-11-18 19:06:55 | precomputed | 2 | 86808 | 7 | 3.236 | 26825.7 |
| 359 | 2025-11-17 08:48:55 | precomputed | 3 | 121633 | 14 | 5.063 | 24023.9 |
| 358 | 2025-11-15 20:01:14 | precomputed | 2 | 86808 | 7 | 3.500 | 24802.3 |
| 357 | 2025-11-10 13:11:27 | precomputed | 1 | 49908 | 5 | 0.876 | 56972.6 |
| 356 | 2025-10-27 14:11:20 | precomputed | 3 | 121633 | 14 | 5.140 | 23664.0 |
| 355 | 2025-10-24 16:48:56 | precomputed | 1 | 49908 | 5 | 0.923 | 54071.5 |
| 354 | 2025-10-23 15:35:31 | precomputed | 1 | 49908 | 5 | 3.376 | 14783.2 |
| 353 | 2025-10-21 17:46:01 | precomputed | 1 | 49908 | 5 | 0.906 | 55086.1 |
| 352 | 2025-10-21 17:44:28 | precomputed | 1 | 49908 | 5 | 2.173 | 22967.3 |
| 351 | 2025-10-21 04:11:31 | precomputed | 1 | 49908 | 5 | 2.936 | 16998.6 |
| 350 | 2025-10-14 16:09:44 | precomputed | 5 | 164607 | 466 | 16.530 | 9958.1 |
| 349 | 2025-10-10 13:56:17 | precomputed | 1 | 49908 | 5 | 0.940 | 53093.6 |
| 348 | 2025-10-05 11:17:28 | precomputed | 5 | 164607 | 466 | 19.686 | 8361.6 |
| 347 | 2025-09-29 00:21:49 | precomputed | 1 | 49908 | 5 | 0.906 | 55086.1 |
| 346 | 2025-09-28 16:57:58 | precomputed | 1 | 49908 | 5 | 0.796 | 62698.5 |
| 345 | 2025-09-27 17:28:38 | precomputed | 1 | 49908 | 5 | 1.093 | 45661.5 |
| 344 | 2025-09-27 17:28:34 | precomputed | 1 | 49908 | 5 | 1.000 | 49908.0 |
| 343 | 2025-09-25 07:03:07 | precomputed | 5 | 164607 | 466 | 68.846 | 2390.9 |
| 342 | 2025-09-25 07:02:38 | precomputed | 5 | 164607 | 466 | 74.240 | 2217.2 |
| 341 | 2025-09-25 07:01:55 | precomputed | 5 | 164607 | 466 | 76.113 | 2162.7 |
| 340 | 2025-09-25 07:01:39 | precomputed | 5 | 164607 | 466 | 87.753 | 1875.8 |
| 339 | 2025-09-23 10:51:33 | precomputed | 5 | 164607 | 466 | 16.436 | 10015.0 |
| 338 | 2025-09-19 18:40:13 | precomputed | 1 | 49908 | 5 | 0.796 | 62698.5 |
| 337 | 2025-09-16 19:59:17 | precomputed | 4 | 148819 | 74 | 13.296 | 11192.8 |
| 336 | 2025-09-16 12:47:52 | precomputed | 4 | 148819 | 74 | 8.720 | 17066.4 |
| 335 | 2025-09-11 17:06:08 | precomputed | 3 | 121633 | 14 | 5.486 | 22171.5 |
| 334 | 2025-09-11 05:13:30 | precomputed | 2 | 86808 | 7 | 2.610 | 33259.8 |
| 333 | 2025-09-02 02:46:37 | precomputed | 2 | 86808 | 7 | 2.186 | 39710.9 |
| 332 | 2025-09-01 15:08:30 | precomputed | 1 | 49908 | 5 | 0.920 | 54247.8 |
| 331 | 2025-09-01 13:24:21 | precomputed | 1 | 49908 | 5 | 0.890 | 56076.4 |
| 330 | 2025-09-01 04:38:00 | precomputed | 1 | 49908 | 5 | 0.890 | 56076.4 |
| 329 | 2025-09-01 04:12:13 | precomputed | 3 | 121633 | 14 | 5.330 | 22820.5 |
| 328 | 2025-09-01 02:51:14 | precomputed | 5 | 164607 | 466 | 14.800 | 11122.1 |
| 327 | 2025-08-31 00:02:05 | precomputed | 1 | 49908 | 5 | 0.953 | 52369.4 |
| 326 | 2025-08-30 14:40:50 | precomputed | 2 | 86808 | 7 | 2.593 | 33477.8 |
| 325 | 2025-08-30 13:41:16 | precomputed | 5 | 164607 | 466 | 13.703 | 12012.5 |
| 324 | 2025-08-30 13:14:54 | precomputed | 3 | 121633 | 14 | 4.813 | 25271.8 |
| 323 | 2025-08-30 05:31:42 | precomputed | 5 | 164607 | 466 | 14.956 | 11006.1 |
| 322 | 2025-08-30 01:18:04 | precomputed | 3 | 121633 | 14 | 5.873 | 20710.5 |
| 321 | 2025-08-29 23:43:41 | precomputed | 2 | 86808 | 7 | 2.500 | 34723.2 |
| 320 | 2025-08-22 06:40:45 | precomputed | 4 | 148819 | 74 | 27.020 | 5507.7 |
| 319 | 2025-08-21 02:28:40 | precomputed | 2 | 86808 | 7 | 12.300 | 7057.6 |
| 318 | 2025-08-20 23:56:26 | precomputed | 3 | 121633 | 14 | 24.486 | 4967.5 |
| 317 | 2025-08-19 13:01:37 | precomputed | 1 | 49908 | 5 | 3.580 | 13940.8 |
| 316 | 2025-08-19 11:03:42 | precomputed | 1 | 49908 | 5 | 1.860 | 26832.3 |
| 315 | 2025-08-19 08:49:56 | precomputed | 2 | 86808 | 7 | 7.313 | 11870.4 |
| 314 | 2025-08-19 07:27:32 | precomputed | 5 | 164607 | 466 | 50.986 | 3228.5 |
| 313 | 2025-08-19 07:26:56 | precomputed | 3 | 121633 | 14 | 15.656 | 7769.1 |
| 312 | 2025-08-18 08:38:58 | precomputed | 1 | 49908 | 5 | 0.920 | 54247.8 |
| 311 | 2025-08-17 17:15:21 | precomputed | 3 | 121633 | 14 | 19.690 | 6177.4 |
| 310 | 2025-08-17 13:10:35 | precomputed | 5 | 164607 | 466 | 65.280 | 2521.6 |
| 309 | 2025-08-17 02:35:45 | precomputed | 2 | 86808 | 7 | 9.470 | 9166.6 |
| 308 | 2025-08-16 16:40:45 | precomputed | 1 | 49908 | 5 | 1.013 | 49267.5 |
| 307 | 2025-08-15 23:55:47 | precomputed | 1 | 49908 | 5 | 0.780 | 63984.6 |
| 306 | 2025-08-15 16:00:07 | precomputed | 4 | 148819 | 74 | 22.750 | 6541.5 |
| 305 | 2025-08-15 06:03:10 | precomputed | 1 | 49908 | 5 | 6.203 | 8045.8 |
| 304 | 2025-08-12 10:28:07 | precomputed | 4 | 148819 | 74 | 23.533 | 6323.8 |
| 303 | 2025-08-08 20:40:44 | precomputed | 1 | 49908 | 5 | 0.906 | 55086.1 |
| 302 | 2025-07-29 08:01:40 | precomputed | 4 | 148819 | 74 | 26.313 | 5655.7 |
| 301 | 2025-07-28 18:46:06 | precomputed | 4 | 148819 | 74 | 23.960 | 6211.1 |
| 300 | 2025-07-27 08:02:11 | precomputed | 1 | 49908 | 5 | 1.983 | 25167.9 |
| 299 | 2025-07-26 08:45:01 | precomputed | 4 | 148819 | 74 | 10.550 | 14106.1 |
| 298 | 2025-07-24 00:24:32 | precomputed | 1 | 49908 | 5 | 4.673 | 10680.1 |
| 297 | 2025-07-23 20:42:30 | precomputed | 1 | 49908 | 5 | 2.610 | 19121.8 |
| 296 | 2025-07-23 11:24:47 | precomputed | 1 | 49908 | 5 | 4.436 | 11250.7 |
| 295 | 2025-07-20 22:56:41 | precomputed | 4 | 148819 | 74 | 12.906 | 11531.0 |
| 294 | 2025-07-19 22:10:13 | precomputed | 4 | 148819 | 74 | 21.296 | 6988.1 |
| 293 | 2025-07-18 15:15:11 | precomputed | 1 | 49908 | 5 | 1.720 | 29016.3 |
| 292 | 2025-07-16 02:01:19 | precomputed | 5 | 164607 | 466 | 57.893 | 2843.3 |
| 291 | 2025-07-14 09:02:45 | precomputed | 5 | 164607 | 466 | 120.310 | 1368.2 |
| 290 | 2025-07-13 13:31:11 | precomputed | 5 | 164607 | 466 | 15.330 | 10737.6 |
| 289 | 2025-07-12 23:39:08 | precomputed | 1 | 49908 | 5 | 1.030 | 48454.4 |
| 288 | 2025-07-12 05:18:52 | precomputed | 5 | 164607 | 466 | 17.500 | 9406.1 |
| 287 | 2025-07-11 11:00:39 | precomputed | 5 | 164607 | 466 | 97.943 | 1680.6 |
| 286 | 2025-07-10 13:09:43 | precomputed | 3 | 121633 | 14 | 28.750 | 4230.7 |
| 285 | 2025-07-09 02:10:37 | precomputed | 1 | 49908 | 5 | 0.876 | 56972.6 |
| 284 | 2025-06-26 07:48:22 | precomputed | 1 | 49908 | 5 | 2.080 | 23994.2 |
| 283 | 2025-06-18 11:43:47 | precomputed | 1 | 49908 | 5 | 6.203 | 8045.8 |
| 282 | 2025-06-12 23:31:29 | precomputed | 1 | 49908 | 5 | 4.186 | 11922.6 |
| 281 | 2025-06-04 13:13:25 | precomputed | 1 | 49908 | 5 | 2.296 | 21736.9 |
| 280 | 2025-06-04 13:06:49 | precomputed | 1 | 49908 | 5 | 4.390 | 11368.6 |
| 279 | 2025-05-23 07:25:34 | precomputed | 1 | 49908 | 5 | 2.186 | 22830.7 |
| 278 | 2025-05-21 22:45:40 | precomputed | 1 | 49908 | 5 | 4.703 | 10611.9 |
| 277 | 2025-05-18 11:16:48 | precomputed | 1 | 49908 | 5 | 4.173 | 11959.7 |
| 276 | 2025-05-17 21:35:39 | precomputed | 4 | 148819 | 74 | 28.923 | 5145.4 |