History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sensibility"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 364 | 2025-10-27 19:28:57 | sensibility | 4 | 148819 | 111 | 8.796 | 16918.9 |
| 363 | 2025-09-13 13:41:29 | sensibility | 1 | 49908 | 1 | 1.673 | 29831.4 |
| 362 | 2025-09-11 22:58:27 | sensibility | 4 | 148819 | 111 | 9.173 | 16223.6 |
| 361 | 2025-09-10 19:24:40 | sensibility | 3 | 121633 | 28 | 4.796 | 25361.3 |
| 360 | 2025-09-10 10:00:55 | sensibility | 1 | 49908 | 1 | 1.000 | 49908.0 |
| 359 | 2025-08-25 01:44:04 | sensibility | 1 | 49908 | 1 | 4.186 | 11922.6 |
| 358 | 2025-08-11 10:59:44 | sensibility | 3 | 121633 | 28 | 36.830 | 3302.6 |
| 357 | 2025-08-11 10:27:01 | sensibility | 2 | 86808 | 6 | 13.030 | 6662.2 |
| 356 | 2025-08-11 04:38:24 | sensibility | 1 | 49908 | 1 | 4.200 | 11882.9 |
| 355 | 2025-08-08 23:54:01 | sensibility | 1 | 49908 | 1 | 2.593 | 19247.2 |
| 354 | 2025-08-08 21:08:15 | sensibility | 1 | 49908 | 1 | 1.763 | 28308.6 |
| 353 | 2025-08-06 07:34:07 | sensibility | 1 | 49908 | 1 | 3.313 | 15064.3 |
| 352 | 2025-08-04 08:05:48 | sensibility | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 351 | 2025-08-01 11:10:34 | sensibility | 1 | 49908 | 1 | 4.533 | 11009.9 |
| 350 | 2025-07-24 17:06:52 | sensibility | 1 | 49908 | 1 | 3.233 | 15437.1 |
| 349 | 2025-07-23 22:18:37 | sensibility | 1 | 49908 | 1 | 1.966 | 25385.6 |
| 348 | 2025-07-23 19:16:22 | sensibility | 1 | 49908 | 1 | 3.280 | 15215.9 |
| 347 | 2025-07-23 07:06:07 | sensibility | 1 | 49908 | 1 | 3.970 | 12571.3 |
| 346 | 2025-07-19 15:14:29 | sensibility | 1 | 49908 | 1 | 0.890 | 56076.4 |
| 345 | 2025-07-14 20:56:24 | sensibility | 4 | 148819 | 111 | 58.783 | 2531.7 |
| 344 | 2025-07-14 12:10:17 | sensibility | 3 | 121633 | 28 | 25.443 | 4780.6 |
| 343 | 2025-07-14 07:15:30 | sensibility | 3 | 121633 | 28 | 46.956 | 2590.4 |
| 342 | 2025-07-13 07:03:37 | sensibility | 4 | 148819 | 111 | 9.780 | 15216.7 |
| 341 | 2025-07-10 23:27:43 | sensibility | 3 | 121633 | 28 | 17.486 | 6956.0 |
| 340 | 2025-07-10 21:18:57 | sensibility | 4 | 148819 | 111 | 63.746 | 2334.6 |
| 339 | 2025-07-10 21:13:36 | sensibility | 1 | 49908 | 1 | 2.533 | 19703.1 |
| 338 | 2025-07-10 01:06:02 | sensibility | 2 | 86808 | 6 | 17.376 | 4995.9 |
| 337 | 2025-07-09 03:45:36 | sensibility | 1 | 49908 | 1 | 2.546 | 19602.5 |
| 336 | 2025-07-08 12:07:53 | sensibility | 1 | 49908 | 1 | 3.986 | 12520.8 |
| 335 | 2025-07-07 21:18:00 | sensibility | 1 | 49908 | 1 | 4.750 | 10506.9 |
| 334 | 2025-07-05 08:03:16 | sensibility | 1 | 49908 | 1 | 5.470 | 9123.9 |
| 333 | 2025-06-30 05:55:29 | sensibility | 1 | 49908 | 1 | 5.156 | 9679.6 |
| 332 | 2025-06-20 09:45:52 | sensibility | 1 | 49908 | 1 | 6.546 | 7624.2 |
| 331 | 2025-06-17 16:59:14 | sensibility | 1 | 49908 | 1 | 0.953 | 52369.4 |
| 330 | 2025-06-16 00:42:42 | sensibility | 1 | 49908 | 1 | 4.440 | 11240.5 |
| 329 | 2025-06-14 05:22:26 | sensibility | 3 | 121633 | 28 | 25.733 | 4726.7 |
| 328 | 2025-06-13 06:49:37 | sensibility | 4 | 148819 | 111 | 9.220 | 16140.9 |
| 327 | 2025-06-10 23:38:57 | sensibility | 4 | 148819 | 111 | 9.796 | 15191.8 |
| 326 | 2025-06-10 16:36:53 | sensibility | 1 | 49908 | 1 | 3.343 | 14929.1 |
| 325 | 2025-06-01 01:51:04 | sensibility | 1 | 49908 | 1 | 2.203 | 22654.6 |
| 324 | 2025-05-24 19:53:50 | sensibility | 1 | 49908 | 1 | 2.390 | 20882.0 |
| 323 | 2025-05-24 07:01:59 | sensibility | 4 | 148819 | 111 | 46.703 | 3186.5 |
| 322 | 2025-05-23 04:02:35 | sensibility | 1 | 49908 | 1 | 3.950 | 12634.9 |
| 321 | 2025-05-20 07:42:24 | sensibility | 1 | 49908 | 1 | 2.173 | 22967.3 |
| 320 | 2025-05-18 12:17:40 | sensibility | 4 | 148819 | 111 | 30.563 | 4869.3 |
| 319 | 2025-05-17 10:48:23 | sensibility | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 318 | 2025-05-16 16:10:38 | sensibility | 4 | 148819 | 111 | 46.533 | 3198.1 |
| 317 | 2025-05-13 11:48:35 | sensibility | 1 | 49908 | 1 | 4.406 | 11327.3 |
| 316 | 2025-05-12 14:11:14 | sensibility | 1 | 49908 | 1 | 3.906 | 12777.3 |
| 315 | 2025-05-09 15:12:43 | sensibility | 4 | 148819 | 111 | 25.800 | 5768.2 |
| 314 | 2025-05-06 02:08:07 | sensibility | 1 | 49908 | 1 | 5.516 | 9047.9 |
| 313 | 2025-05-06 02:07:48 | sensibility | 1 | 49908 | 1 | 1.720 | 29016.3 |
| 312 | 2025-05-05 06:15:20 | sensibility | 4 | 148819 | 111 | 28.830 | 5161.9 |
| 311 | 2025-05-01 08:00:45 | sensibility | 4 | 148819 | 111 | 48.503 | 3068.2 |
| 310 | 2025-04-30 10:22:01 | sensibility | 4 | 148819 | 111 | 47.643 | 3123.6 |
| 309 | 2025-04-30 07:55:55 | sensibility | 1 | 49908 | 1 | 4.000 | 12477.0 |
| 308 | 2025-04-29 06:14:51 | sensibility | 4 | 148819 | 111 | 42.986 | 3462.0 |
| 307 | 2025-04-28 09:23:44 | sensibility | 1 | 49908 | 1 | 4.190 | 11911.2 |
| 306 | 2025-04-18 07:14:46 | sensibility | 1 | 49908 | 1 | 4.843 | 10305.2 |
| 305 | 2025-04-06 07:33:56 | sensibility | 4 | 148819 | 111 | 60.800 | 2447.7 |
| 304 | 2025-04-05 05:51:36 | sensibility | 4 | 148819 | 111 | 11.923 | 12481.7 |
| 303 | 2025-04-04 02:08:56 | sensibility | 1 | 49908 | 1 | 2.093 | 23845.2 |
| 302 | 2025-03-30 23:40:59 | sensibility | 2 | 86808 | 6 | 14.530 | 5974.4 |
| 301 | 2025-03-30 03:06:52 | sensibility | 1 | 49908 | 1 | 1.733 | 28798.6 |
| 300 | 2025-03-28 16:21:55 | sensibility | 4 | 148819 | 111 | 15.220 | 9777.9 |
| 299 | 2025-03-28 01:56:00 | sensibility | 4 | 148819 | 111 | 10.330 | 14406.5 |
| 298 | 2025-03-27 18:26:23 | sensibility | 1 | 49908 | 1 | 6.310 | 7909.4 |
| 297 | 2025-03-25 10:20:11 | sensibility | 4 | 148819 | 111 | 50.050 | 2973.4 |
| 296 | 2025-03-24 09:23:16 | sensibility | 4 | 148819 | 111 | 48.923 | 3041.9 |
| 295 | 2025-03-24 02:08:32 | sensibility | 2 | 86808 | 6 | 10.126 | 8572.8 |
| 294 | 2025-03-24 01:04:11 | sensibility | 3 | 121633 | 28 | 19.720 | 6168.0 |
| 293 | 2025-03-22 09:06:25 | sensibility | 1 | 49908 | 1 | 2.190 | 22789.0 |
| 292 | 2025-03-20 10:41:11 | sensibility | 1 | 49908 | 1 | 3.953 | 12625.3 |
| 291 | 2025-03-17 03:13:14 | sensibility | 1 | 49908 | 1 | 3.110 | 16047.6 |
| 290 | 2025-02-23 07:24:17 | sensibility | 2 | 86808 | 6 | 14.063 | 6172.8 |
| 289 | 2025-02-23 07:21:16 | sensibility | 1 | 49908 | 1 | 3.420 | 14593.0 |
| 288 | 2025-02-23 05:51:45 | sensibility | 1 | 49908 | 1 | 4.703 | 10611.9 |
| 287 | 2025-02-22 19:54:55 | sensibility | 1 | 49908 | 1 | 4.393 | 11360.8 |
| 286 | 2025-02-14 15:16:08 | sensibility | 3 | 121633 | 28 | 14.110 | 8620.3 |
| 285 | 2025-02-01 16:20:27 | sensibility | 3 | 121633 | 28 | 39.186 | 3104.0 |
| 284 | 2025-01-31 02:31:14 | sensibility | 4 | 148819 | 111 | 50.173 | 2966.1 |
| 283 | 2025-01-31 02:31:22 | sensibility | 3 | 121633 | 28 | 33.096 | 3675.2 |
| 282 | 2025-01-30 17:55:44 | sensibility | 4 | 148819 | 111 | 54.260 | 2742.7 |
| 281 | 2025-01-30 10:27:59 | sensibility | 4 | 148819 | 111 | 53.376 | 2788.1 |
| 280 | 2025-01-30 04:42:14 | sensibility | 4 | 148819 | 111 | 51.250 | 2903.8 |
| 279 | 2025-01-30 04:42:15 | sensibility | 3 | 121633 | 28 | 26.330 | 4619.6 |
| 278 | 2025-01-30 04:40:17 | sensibility | 1 | 49908 | 1 | 5.966 | 8365.4 |
| 277 | 2025-01-22 05:05:17 | sensibility | 1 | 49908 | 1 | 4.940 | 10102.8 |
| 276 | 2025-01-18 11:55:03 | sensibility | 1 | 49908 | 1 | 2.440 | 20454.1 |
| 275 | 2025-01-15 00:22:52 | sensibility | 2 | 86808 | 6 | 14.266 | 6085.0 |
| 274 | 2025-01-15 00:22:49 | sensibility | 3 | 121633 | 28 | 14.186 | 8574.2 |
| 273 | 2025-01-12 22:34:43 | sensibility | 1 | 49908 | 1 | 4.233 | 11790.2 |
| 272 | 2024-12-31 22:39:15 | sensibility | 2 | 86808 | 6 | 5.686 | 15267.0 |
| 271 | 2024-12-24 02:40:57 | sensibility | 4 | 148819 | 111 | 49.080 | 3032.2 |
| 270 | 2024-12-22 09:37:24 | sensibility | 4 | 148819 | 111 | 34.063 | 4368.9 |
| 269 | 2024-12-22 09:37:25 | sensibility | 3 | 121633 | 28 | 23.063 | 5273.9 |
| 268 | 2024-12-22 09:37:26 | sensibility | 2 | 86808 | 6 | 17.000 | 5106.4 |
| 267 | 2024-12-22 09:36:07 | sensibility | 1 | 49908 | 1 | 4.390 | 11368.6 |
| 266 | 2024-12-19 20:43:41 | sensibility | 1 | 49908 | 1 | 0.830 | 60130.1 |
| 265 | 2024-12-17 23:03:33 | sensibility | 1 | 49908 | 1 | 2.563 | 19472.5 |